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Journal articles on the topic 'Expert'

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Published: 4 June 2021
Last updated: 29 July 2024

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1

Totty, R. N. "Towards Expert Experts." Journal of the Forensic Science Society 25, no. 5 (September 1985): 327–28. http://dx.doi.org/10.1016/s0015-7368(85)72410-3.

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2

NCC Ltd. "Expert system helps experts." Knowledge-Based Systems 1, no. 4 (September 1988): 250. http://dx.doi.org/10.1016/0950-7051(88)90040-8.

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3

Harlsen, Paul. "Expert systems for experts." Artificial Intelligence in Medicine 1, no. 3 (January 1989): 148. http://dx.doi.org/10.1016/0933-3657(89)90010-9.

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4

Krishnan, Jagan, Chan Li, and Qian Wang. "Auditor Industry Expertise and Cost of Equity." Accounting Horizons 27, no. 4 (May 1, 2013): 667–91. http://dx.doi.org/10.2308/acch-50513.

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SYNOPSIS We examine the association between auditor industry expertise and clients' cost of equity. Prior research suggests that industry experts are associated with higher earnings quality than non-experts. If such improved earnings quality were recognized by investors, we would expect it to be reflected in a lower cost of equity. Following recent research in this area, we distinguish between national-only, city-only, and joint city-national industry-expert auditors. Our results suggest that clients audited by city-only or joint city-national industry experts have a lower cost of equity. We also examine whether changing from non-expert (expert) to expert (non-expert) auditors result in a decrease (increase) in cost of equity. We find that when firms change from non-experts to city-only or joint city-national experts, their cost of equity is significantly decreased.
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5

Mauliani, Asri, and Andronias Siregar. "SISTEM PAKAR PENYELEKSIAN KULIT ULAR UNTUK EKSPOR MENGGUNAKAN METODE FORWARD CHAINING PADA CV. ALONA JAYA." Akrab Juara : Jurnal Ilmu-ilmu Sosial 6, no. 4 (November 6, 2021): 138. http://dx.doi.org/10.58487/akrabjuara.v6i4.2039.

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Snake skin is one type of reptile skin that has now been used as a commodity trade with a fairly high price. Snake skin that is ripe for export certainly experienced some process first, one of the process is the selection to know the skin into the category class I, II or III. CV. Alona Jaya is a company engaged in the export of reptile skin. Human resources owned CV. Alona Jaya not all experts in the field of skin selection, so still need the help of experts in handling the process. Expert system applications capable of imitating the work of an expert in various fields, one of them is snake skin selection. This expert system is built using forward chaining method, as a search technique that starts from a known fact to reach a goal. The design of this application using UML and Visual Basic programming language with Microsoft Access database as its application. This research produces an expert system application that can be used in snake skin selection for export, so it can help human resources who are not experts at the time of skin selection
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6

Conn, Richard R. "Are The Courts Unintentionally Promoting Unethical Behavior In Business Valuators?" Journal of Business Valuation and Economic Loss Analysis 12, no. 1 (May 24, 2017): 145–82. http://dx.doi.org/10.1515/jbvela-2015-0001.

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AbstractThe expert business valuator’s primary responsibility is to assist the Court in the understanding of complex financial and economic issues impacting the valuation of an asset or damages claim. The Courts expect valuation opinions that are unbiased and impartial. But empowering the advocate-lawyers to select and engage those valuators misaligns the reward system. The reward the expert valuator seeks is the engagement itself – being appointed to the case. The current system of lawyer-engaged experts acts as an impediment towards absolute impartiality. Court-appointed experts may be the easiest means of eliminating role-conflict and realigning the reward system so that the expert valuator is focused upon the primary goal of serving the Court’s needs.
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7

Maghaireh, Hassan, Aveen K. Aljaff, and Rami Chayah. "Ask the Experts : March Expert Panel." Smile Dental Journal 8, no. 1 (March 2013): 46–49. http://dx.doi.org/10.12816/0000776.

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8

Commons, Michael Lamport, Patrice Marie Miller, Eva Yujia Li, and Thomas Gordon Gutheil. "Forensic experts' perceptions of expert bias." International Journal of Law and Psychiatry 35, no. 5-6 (September 2012): 362–71. http://dx.doi.org/10.1016/j.ijlp.2012.09.016.

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9

Hermann, Thomas, and Katharina Just. "Experts' systems instead of expert systems." AI & Society 9, no. 4 (December 1995): 321–55. http://dx.doi.org/10.1007/bf01210586.

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10

Deaton, Angus. "On tyrannical experts and expert tyrants." Review of Austrian Economics 28, no. 4 (July 17, 2015): 407–12. http://dx.doi.org/10.1007/s11138-015-0323-y.

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11

Hejzlarová, Eva. "Gender Expert as a Tool for Improving ESF Projects?" Gender a výzkum / Gender and Research 15, no. 1 (March 1, 2014): 55–64. http://dx.doi.org/10.13060/12130028.2014.15.1.101.

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12

Aeni, Khurotul. "Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Padi." INTENSIF 2, no. 1 (February 16, 2018): 79. http://dx.doi.org/10.29407/intensif.v2i1.11841.

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So that the computer can act as and as good as a human being, then the computer should be given the lack of knowledge that has the ability to catch. One of them is an expert system, is a system that attempted to adopt human knowledge to a computer that is designed to model the ability to resolve problems such as befits an expert. With this expert system, people who have yet to figure it out at all to resolve the problem or just simply looking for an actual information can only be obtained with the help of experts in their field. Knowledge society in Indonesia about pests and diseases of rice plant is still low, including handling is known only to the extent of the knowledge of fellow farmers, pest and disease if there is a new kind of farmers are not aware of it, on the other hand there are some the expert or experts who know about the pests and diseases of rice plant, but the number of experts or experts with a large number of farmers are not balanced. Therefore, due to the application of the method of forward chaining inference on expert system to diagnose plant pests and diseases of rice can be the information and knowledge that will help the community or individuals to know the types of pests and what diseases that attack the rice plant, without having to wait and expect a straight answer from the experts
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13

Samuels, Alec. "Finding the Expert, the Right Expert, the Expert Expert." Medico-Legal Journal 69, no. 3 (January 2001): 124–30. http://dx.doi.org/10.1258/rsmmlj.69.3.124.

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14

Samuels, A. "Finding the Expert, the Right Expert, the Expert Expert." Medico-Legal Journal 69, no. 3 (January 1, 2001): 124–30. http://dx.doi.org/10.1258/spmlj.69.3.124.

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15

Peng, Li-Chun, Wan-Yu Lien, and Yu-Pin Lin. "How Experts’ Opinions and Knowledge Affect Their Willingness to Pay for and Ranking of Hydrological Ecosystem Services." Sustainability 12, no. 23 (December 2, 2020): 10055. http://dx.doi.org/10.3390/su122310055.

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To ensure that ecosystem services are included in decision-making processes, many studies have relied on expert opinions and knowledge to identify, rank, and assess willingness to pay. In this study, expert opinions according to their expertise in hydrology, ecology, and sociology were surveyed and compared in terms of (1) recognition and ranking of hydrological ecosystem services (HESs) and (2) willingness to pay for HESs. The decision-making process was also investigated, specifically the rankings of factors in experts’ plans for climate change adaptation. The experts’ recognition of and opinions concerning HESs were positively correlated at various levels with intention to pay (i.e., whether respondents were willing to pay for HESs). Most experts recognized the importance of HESs and allocated high average scores of 9.15, 8.17, and 8.41 to water yield, sediment export, and nutrient export, respectively, using a scale from 1 (least important) to 10 (most important). The percentage of sociologists (100%) exhibited greater intention to pay than those of hydrologists (70%) and ecologists (93%), respectively. Experts prioritized environmental impact over economic cost in policy decision-making, and they differed significantly by field in terms of their rankings of the functional, economic, environmental, and social considerations of decision-making. The results revealed significant differences among experts in their decision-making preferences according to their fields of knowledge. The experts of a specific study field may be more willing to pay for that than for another. Greater intellectual exchange and analysis among experts should be implemented and diverse expert opinions should be solicited in policy decision-making.
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16

Dumas, Joseph, James Sorce, and Robert Virzi. "Expert Reviews: How Many Experts is Enough?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 4 (October 1995): 228–32. http://dx.doi.org/10.1177/154193129503900402.

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We asked five usability specialists to review the user interface to a phone-based, interactive voice response system. The experts were instructed to conduct their review independently in three one-hour sessions and to record each usability problem on a Problem Description Sheet along with the elapsed time from the beginning of the hour. Each expert then spent one hour reviewing their problem sheets and making a summary list of problems. Finally, the experts spent two hours together on a conference call discussing their impressions and coming to consensus on a prioritized list of problems and solutions. The results showed that when allocating expert time, it is more effective to have a greater number of experts spend fewer hours than to use fewer experts for more hours. The individual summaries included the majority of the severe problems, but left out many less severe problems and added new problems. The group report did not surface any new problems, but described the problems as being caused by more basic design flaws and proposed solutions that focused on the conceptual model on which the design was based.
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17

POLLAY, R. W. "Export "A" ads are extremely expert, eh?" Tobacco Control 10, no. 1 (March 1, 2001): 71–74. http://dx.doi.org/10.1136/tc.10.1.71.

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18

SWARTOUT, WILLIAM R., and STEPHEN W. SMOLIAR. "On making expert systems more like experts." Expert Systems 4, no. 3 (August 1987): 196–208. http://dx.doi.org/10.1111/j.1468-0394.1987.tb00143.x.

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19

Saks, Michael J. "Expert witnesses, nonexpert witnesses, and nonwitness experts." Law and Human Behavior 14, no. 4 (August 1990): 291–313. http://dx.doi.org/10.1007/bf01068158.

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20

King, M. "Experiments with experts developing simple expert systems." Omega 17, no. 2 (January 1989): 123–34. http://dx.doi.org/10.1016/0305-0483(89)90004-2.

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21

CHOTTIKAMPON, Kontawat, Suchalinee MATHUROSEMONTRI, Hitoshi MARUI, Porakoch SIRISUWAN, Akihiko GOTO, Tadashi UOZOMI, Miyako INODA, Hiroyuki Nishimoto, and Hiroyuki HAMADA. "711 EYE MOVEMENT ANALYSIS FOR BRAIDING SKILL OF THE EXPERT AND NON-EXPERTS." Proceedings of the Materials and processing conference 2015.23 (2015): _711–1_—_711–5_. http://dx.doi.org/10.1299/jsmemp.2015.23._711-1_.

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22

Gao, Shengxiang, Zhengtao Yu, Linbin Shi, Xin Yan, and Haixia Song. "A Method to Review Expert Recommendation Using Topic Relevance and Expert Relationship." International Journal of Cooperative Information Systems 27, no. 01 (March 2018): 1741004. http://dx.doi.org/10.1142/s0218843017410040.

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In the process of recommending review experts to projects, in order to effectively make use of the relevance among topics and the relationship among experts, a new method is proposed for review expert recommendation using topic relevance and expert relationship. In this method, firstly, the relevance among topics and the relationships among experts are used to respectively construct the Markov network of topics and the Markov network of experts. Next, the maximum topic clique is extracted from the topic Markov network and the maximum expert clique is extracted from the expert Markov network; then, with the information of the two maximum cliques, the relevance between experts and projects is calculated. After that, according to the descending order of the relevant degree, the candidates are ranked. Finally, the experts, who are the top N to projects, are recommended. The experiments on five domain datasets are made and the results show that the proposed method can improve the effect of review expert recommendation, and the F-value increases by an average of 5% than without considering the relevance among topics and the relationship among experts.
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23

Wuffle, A. "Expert vs. Expert: Lessons from Badham v. Eu." PS: Political Science & Politics 18, no. 03 (1985): 576–81. http://dx.doi.org/10.1017/s1049096500022228.

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Professors Cain and Grofman were kind enough to suggest that I review the expert witness declarations inBadham v. Eu(D.C. California, 1984) in the light of my own previous research on expert witness testimony to identify frequently used modes of argumentation.The single most important observation I can make about the nature of the expert witness testimony inBadhamis to note its high quality. The experts inBadhamare addressing real issues. The differences among these experts rest on differing normative views and on disputes about difficult empirical and methodological questions. Moreover, the genuine expertise of these social scientists cannot be in dispute. Thus, the most common techniques used in disputations among experts: (1) impeaching an expert witness' motives (e.g., accusing him of being a “hired gun” or an “ideological partisan”); (2) downgrading his academic credentials or claims to subject matter expertise; and (3) finding instances where his testimony has been repudiated by the courts, are simply inapplicable. This has not left the experts inBadhamat a loss for words—but none of the disagreements among them are in the nature of ad hominem attacks.
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24

W, Yunanri, Doddy Teguh Yuwono, and Ika Safitri Windarti. "SYSTEMATIC OF EXPERT SYSTEM BASE ON SOFTWARE AND CALCULATION METHOD." Jurnal Informatika, Teknologi dan Sains 2, no. 1 (February 20, 2020): 1–6. http://dx.doi.org/10.51401/jinteks.v2i1.552.

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The expert system is a system that seeks to adopt human knowledge into technology, so that technology can solve problems as is usually done by experts. A good expert system is designed to solve a particular problem by imitating the work of the experts. With expert systems, the layman can solve quite complicated problems, because in fact the problem can only be solved with the help of experts. For experts, the expert system will also assist its activities as a highly experienced assistant. Currently there are many studies that raise cases about expert systems. This study aims to create systematic on expert systems based on a collection of expert system cases and classify them based on the tools used, implementation types and frequently used methods.
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25

Mounolou, Jean-Claude, and Françoise Fridlansky. "Biologiste, expert, expert-biologiste." Natures Sciences Sociétés 15, no. 3 (July 2007): 291–94. http://dx.doi.org/10.1051/nss:2007066.

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26

FEIN, ELIZABETH Z. "Keeping Expert Nurses Expert." MCN, The American Journal of Maternal/Child Nursing 19, no. 6 (November 1994): 305???308. http://dx.doi.org/10.1097/00005721-199411000-00002.

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27

Suprihadi, Suprihadi, and Dedy Setia Wibawa. "Application of Certainty Factor Method in Diagnosing Nutrient Deficiency in Coffee and Coconut Plants." CCIT Journal 14, no. 2 (August 31, 2021): 160–77. http://dx.doi.org/10.33050/ccit.v14i2.1376.

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Plantation Coffee and coconut are superior export commodities that have a high investment value in maintaining the economy and balancing the balance of plantation commodities in Indonesia. One of the obstacles that is often experienced by managers of coffee and coconut cultivation is a lack of understanding in the diagnosis of plants that are deficient in macro and micro nutrients, as the main needs for quality of the results. On the other hand, the number of plantation crop experts is relatively small. Seeing these conditions, this study has built an expert system that is able to diagnose the symptoms of nutrient deficiency in coffee and coconut plants. The expert system is built by applying the certainty factor method, so that it can overcome the problem of uncertainty in diagnosing. The percentage level of certainty is obtained from the MB and MD assessment of an expert. This expert system was built using the Expert System Development Life Cycle method. The results of this study are a web-based expert system that is suitable for use by managers of coffee and coconut cultivation in diagnosing nutrient deficiencies, so that it can be known in detail independently and can reduce production costs.
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28

RIANA, FREZA, Gibtha Laxmi, Setyowati Retno Djiwanti, Riska Pravita Harianingrum, and Fitrah Satrya Fajar Kusumah. "Expert System For Diagnosing Pests And Diseases Of Ginger Plants Using Case-Based Reasoning Method." Moneter: Jurnal Keuangan dan Perbankan 11, no. 1 (April 9, 2023): 93–101. http://dx.doi.org/10.32832/moneter.v11i1.156.

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Ginger (Zingiber officinale Rosc.) is a medicinal plant that has many benefits and properties that makes ginger one of the export commodities of Indonesian spices. One of the obstacles in exporting fresh ginger is the low quality of ginger caused by pest and disease attacks. Generally in preventing and controlling the spread of pests and diseases namely consult an expert, but the availability of experts is not always there in every area. Therefore this research builds a website based expert system to diagnose pests and diseases of ginger plants with the Case-Based Reasoning method. This method is a problem-solving that uses knowledge from previous experience to solve new problems. The expert system can diagnose five diseases and two pests with 39 symptoms. Based on the simulation test data as many as 50 done randomly, obtained a percentage value of 96% for expert diagnosis results with a system for the Case-Based Reasoning method. This Expert System can help farmers identify and control pests and diseases that attack the ginger plant.
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29

Burgers, Christian, Anneke de Graaf, and Sabine Callaars. "Differences in actual persuasiveness between experiential and professional expert evidence." Journal of Argumentation in Context 1, no. 2 (October 29, 2012): 194–208. http://dx.doi.org/10.1075/jaic.1.2.03deg.

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This study investigates the persuasiveness of different types of expert evidence. Following Wagemans (2011), two types of experts were distinguished that can be used in expert evidence: experiential experts (who base their expertise on personal experience) and professional experts (who base their expertise on professional knowledge). In a between-subjects experiment (N = 179), these different types of experts were included in a news report on a political issue. Results indicate that the perceived expertise and persuasiveness of professional experts was higher than that of experiential experts. Perceived expertise completely mediated the effects of the different types of expert evidence on persuasion. These results point towards a recommendation of using professional expert evidence over experiential expert evidence in reporting on political issues.
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30

Marchenko, V. T., and N. P. Sazina. "Methodological features of in-group evaluation of experts’ competence in determining the efficiency of space-rocket complexes." Technical mechanics 2024, no. 1 (April 11, 2024): 93–104. http://dx.doi.org/10.15407/itm2024.01.093.

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Expert examination methods greatly facilitate the solution of difficult-to-formalize problems. However, in this case the solution is affected by a subjective factor. The decision-making theory has a number of methodological techniques that diminish its effect on the decision made. This paper presents a method of quantitative evaluation of experts’ competence from the results of an expert examination of the efficiency determination of unique, technically complex systems of special and dual purpose, in particular space-rocket complexes. In an expert examination of projects of such systems, it is suggested that the experts’ competence be quantitatively evaluated in two stages: a preliminary evaluation of the experts’ competence from their factual data and a refined evaluation of the experts’ competence just before the calculation of the expected indices of target efficiency using the results of expert examinations made by the procedure developed. The proposed method of quantitative evaluation of experts’ competence is based on evaluating the qualification of the experts involved in the target efficiency determination of a complex engineering system. A rank matrix constructed on the basis of partial criteria of technical efficiency and additional factors of indirect control is proposed as a tool to eliminate cases where at a high level of expert evaluation consistency the most accurate expert evaluations may be considered anomalous in the expert evaluation of the technical and target efficiency of space-rocket systems. The presented mathematical model of quantitative evaluation of experts’ competence includes parameters that adjust the mathematical model to specific conditions of the expert evaluation (expert evaluation methods employed, measurement scales, specific limitations, etc.). The mathematical model is constructed around the axiom that the “true” estimates of the significance of the objects under evaluation lie within the expert evaluation domain. The paper also presents an enlarged algorithm for adjustment parameter calculation from the results of expert estimate preprocessing. The presented mathematical model and algorithm make it possible to develop a computer program for determining experts’ competence from expert evaluation results.
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31

Gee, D. G. "Book Review: The Trial of the Expert. A Study of Expert Evidence and Forensic Experts." Medicine, Science and the Law 28, no. 4 (October 1988): 344. http://dx.doi.org/10.1177/002580248802800416.

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32

Hutapea, Mei Melan Rut Sartika, and R. Mahdalena Simanjorang. "Expert System to Diagnose Malaria With Bayes Method." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 1 (January 1, 2020): 88–92. http://dx.doi.org/10.47709/cnapc.v2i1.363.

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Malaria is a deadly disease. The disease is caused by a virus that is transmitted through the bite plasmadium Anopheles mosquito tropics. , Indonesia is an area that has a tropical climate so that malaria prevalent in Indonesia. Many public cloud lack of knowledge about the symptoms of malaria because malaria disease symptoms similar to the usual feverish illness. If the disease is not handled seriously can lead to death. From the above explanation makes the excuse needed one expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. In the expert system there are several methods used to menagani a problem. With the solution given institute Bayes Method in helping to diagnose diseases, the expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation.
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33

Chhajer, Arihant. "Expert Systems for Emulating the Decision Making Ability of a Human Expert." TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery 1, no. 1 (November 18, 2022): 15–18. http://dx.doi.org/10.36647/ttidmkd/01.01.a004.

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Expert systems are a type of technology that supports an organization to identify the challenges of a project and help the organization to take effective steps to resolve the challenges. The research study is based on the utilization of expert systems on the decision-making ability of human experts. The research study has adopted a positivist research philosophy, exploratory research design, and deductive research approach to mitigate the research objectives. On the other hand, the research study has been done through the implication of a secondary quantitative data collection method. Based on the secondary quantitative research study, the study has shown the potential impact of an expert system on the decision-making ability of human experts. This research study has explained the way expert systems are creating a positive influence on the operational efficiency of an organization and the utilization of expert systems has also enhanced the decision-making ability of human exports up to 42%. Moreover, the implication of expert systems is beneficial for providing growth in business. Keyword : Human experts, project, Artificial intelligence, technology, expert systems.
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34

Obayashi, Akihiko, and Rafal Rzepka. "Expanding Export Control-related Data for Expert System." Procedia Computer Science 207 (2022): 3065–72. http://dx.doi.org/10.1016/j.procs.2022.09.364.

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35

Gaitskell, Robert. "Expert engineers: what the courts expect of you!" Engineering Management Journal 3, no. 4 (1993): 164. http://dx.doi.org/10.1049/em:19930049.

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36

Seidel, M., C. Breslin, R. M. Christley, G. Gettinby, S. W. J. Reid, and C. W. Revie. "Comparing diagnoses from expert systems and human experts." Agricultural Systems 76, no. 2 (May 2003): 527–38. http://dx.doi.org/10.1016/s0308-521x(02)00035-5.

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37

Makhaev, Mair R., Vladimir I. Golovanov, and Nadezhda F. Melnichenko. "EQGP: Public Policy Expertise, experts and Expert Council." Municipal Academy, no. 4 (2022): 31–39. http://dx.doi.org/10.52176/2304831x_2022_04_31.

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38

Wuffle, A. "Expert vs. Expert: Lessons from Badham v. Eu." PS 18, no. 3 (1985): 576–81. http://dx.doi.org/10.1017/s0030826900624086.

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Professors Cain and Grofman were kind enough to suggest that I review the expert witness declarations in Badham v. Eu (D.C. California, 1984) in the light of my own previous research on expert witness testimony to identify frequently used modes of argumentation.The single most important observation I can make about the nature of the expert witness testimony in Badham is to note its high quality. The experts in Badham are addressing real issues. The differences among these experts rest on differing normative views and on disputes about difficult empirical and methodological questions. Moreover, the genuine expertise of these social scientists cannot be in dispute. Thus, the most common techniques used in disputations among experts: (1) impeaching an expert witness' motives (e.g., accusing him of being a “hired gun” or an “ideological partisan”); (2) downgrading his academic credentials or claims to subject matter expertise; and (3) finding instances where his testimony has been repudiated by the courts, are simply inapplicable. This has not left the experts in Badham at a loss for words—but none of the disagreements among them are in the nature of ad hominem attacks.
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39

Vredenburgh, Alison, Jason Young, David Liske, and Stephen Young. "Cross-Border Testifying Tips: U.S. Experts in Canada and Canadian Experts in the U.S." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 470–73. http://dx.doi.org/10.1177/1541931213601601.

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Professionals who are allowed by a court to serve as expert witnesses are granted the special legal status of offering opinion and theoretical evidence based on human factors research and provided facts that the expert did not witness themselves. The role of the Human Factors forensic expert in U.S. and Canadian court cases has become more common over the past two decades as lawyers become increasingly aware of the specialized nature of this field of study. U.S. and Canadian Human Factors experts sometimes find themselves being retained by firms on the other side of the border due to their specialized experience and training in a particular area relevant to the case at hand. In such situations, the expert will need to deal with differences in legal systems and differences in client expectations between the U.S. and Canada. The goal of this panel discussion session is to share the combined experience and knowledge of the panelists with the audience regarding the most significant differences between U.S. and Canadian clients, courtrooms, and procedures in forensic testimony, so that the expert knows what to expect when accepting a cross-border retention.
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40

Priyanka, Nalawade, Mane Gayatri, and Jankar Priyanka Kurde Ashwini Prof Balwante Shrikrishna Shivrai. "Expert Finding System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1993–98. http://dx.doi.org/10.31142/ijtsrd11594.

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41

Lawler, A. "Expert Panel Faults Expert Panels." Science 316, no. 5825 (May 4, 2007): 675b. http://dx.doi.org/10.1126/science.316.5825.675b.

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Mumpower, Jeryl L., and Thomas R. Stewart. "Expert Judgement and Expert Disagreement." Thinking & Reasoning 2, no. 2-3 (July 1996): 191–212. http://dx.doi.org/10.1080/135467896394500.

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43

Rich, Elaine A. "Building More Expert Expert Systems." Contemporary Psychology: A Journal of Reviews 31, no. 6 (June 1986): 448–49. http://dx.doi.org/10.1037/024826.

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44

Sumner, Walton, and Edward K. Shultz. "Expert systems and expert behavior." Journal of Medical Systems 16, no. 5 (October 1992): 183–93. http://dx.doi.org/10.1007/bf01000271.

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45

Mueller, Frank, and Romano Dyerson. "Expert Humans or Expert Organizations?" Organization Studies 20, no. 2 (March 1999): 225–56. http://dx.doi.org/10.1177/0170840699202003.

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46

Nedashkivska, О. "PETITION AS A PROCEDURAL FORM OF REALIZATION BY A FORENSIC EXPERT OF THE RIGHT TO AN EXPERT INITIATIVE." Criminalistics and Forensics, no. 66 (2021): 215–27. http://dx.doi.org/10.33994/kndise.2021.66.18.

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The author raises the issue of the lack of a clear mechanism for the implementation of the right of a forensic expert of an expert initiative using the right of a forensic expert to file a petition as, in fact, the only procedural form for a forensic expert to exercise his right of an expert initiative. The purpose of the study is to analyze the existing legal framework governing the right of expert initiative and various scientific opinions on the right to identify an expert initiative, using the right to petition. The study was conducted by analyzing the current legislation in terms of regulating the right of expert initiative and the views of scholars on the concept of expert initiative, as well as a survey of practicing forensic experts of the Ministry of Internal Affairs of Ukraine to determine the limits of ownership of the conceptual apparatus, its implementation in practice. The level of mastery of the conceptual apparatus by forensic experts of the Ministry of Internal Affairs of theoretical and practical knowledge in the field of expert initiative and the possibility of their implementation in practice is established. Various scientific approaches to the problem of using the right of expert initiative in modern conditions are analyzed, the practical significance and importance of legal regulation of the right of a forensic expert to file a petition as a procedural form of ensuring the right of expert initiative by forensic experts in their practical work is demonstrated. A systematic solution to the problem is proposed by the improving the legal framework that would regulate the procedure for using the right of a forensic expert to file a petition as a de facto form of exercising the right to an expert initiative and creating an algorithm to ensure the right of a forensic expert to an expert initiative.
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Cordner, S. M. "Science on trial: The trial of the expert: a study of expert evidence and forensic experts." Medical Journal of Australia 147, no. 3 (August 1987): 146. http://dx.doi.org/10.5694/j.1326-5377.1987.tb133320.x.

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Baker, John, Karina Lovell, and Neil Harris. "How expert are the experts? An exploration of the concept of ‘expert’ within Delphi panel techniques." Nurse Researcher 14, no. 1 (October 2006): 59–70. http://dx.doi.org/10.7748/nr2006.10.14.1.59.c6010.

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49

Hodek, Viktor. "Overview of the main changes to the proposed Act on Experts, Expert Offices and Expert Institutes." Oceňování 12, no. 1 (July 4, 2019): 23–28. http://dx.doi.org/10.18267/j.ocenovani.224.

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Sulistiyanto, Sulistiyanto, Tri Aristy Saputri, and Noviyanti Noviyanti. "Deteksi Dini Hama dan Penyakit Padi Menggunakan Metode Certainty Factor." JURIKOM (Jurnal Riset Komputer) 9, no. 1 (February 25, 2022): 48. http://dx.doi.org/10.30865/jurikom.v9i1.3778.

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Padi is one of the main food commodities. Every year the need for rice continues to increase, as fulfillment of domestic and export needs. Various efforts were made in order to increase rice production, including superior seed seed research, expansion of planting land and counseling and mentoring to farmers. Pests and diseases are one of the 'main factors that have an impact on the decline in the productivity of rice plants. Recognizing Symptoms of the disease requires skills and experience and knowledge. Symptoms that arise often by farmers are difficult to recognize and only experts who can identify it correctly and correctly. The limitations of agricultural experts in the region, are obstacles for farmers when they want to consult. The expert system can then be an alternative solution to replace the expert role in deciding the type of disease that attacks. This study aims to design an expert system using certainty factors for website-based to help farmers in deciding the type of disease. Diseases that are sampled include blast, hawar daun (kresek), busuk pelepah, tungro (kerdil), chocolate spots and striped spots. The method used in this research is Reseach And Development (RND).The results of system output testing validated by experts have an accuracy of 66.67%, and system testing with blackbox testing is declared valid to the main features of the system. It is expected that this expert system, farmers become helped in deciding the type of disease that attacks their rice and can take preventive actions so as not to spread to other rice plants
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