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Artykuły w czasopismach na temat "ML TECHNIQUES"
Jeevana, P., T. Nandini, D. Srilekha, G. Dinesh i Mrs Archana. "Diabetic Prediction using ML Techniques". YMER Digital 21, nr 04 (30.04.2022): 585–93. http://dx.doi.org/10.37896/ymer21.04/59.
Pełny tekst źródłaVenkata Vara Prasad, D., P. Senthil Kumar, Lokeswari Y. Venkataramana, G. Prasannamedha, S. Harshana, S. Jahnavi Srividya, K. Harrinei i Sravya Indraganti. "Automating water quality analysis using ML and auto ML techniques". Environmental Research 202 (listopad 2021): 111720. http://dx.doi.org/10.1016/j.envres.2021.111720.
Pełny tekst źródłaKosinska, Joanna, i Maciej Tobiasz. "Detection of Cluster Anomalies With ML Techniques". IEEE Access 10 (2022): 110742–53. http://dx.doi.org/10.1109/access.2022.3216080.
Pełny tekst źródłaDerangula, Sirisha. "Identification of phishing websites using ML techniques". International Journal of Communication and Information Technology 1, nr 2 (1.07.2020): 28–32. http://dx.doi.org/10.33545/2707661x.2020.v1.i2a.16.
Pełny tekst źródłaNanajkar, Jyotsna, Mayuresh Warang, Pratik Suthar, Shivam Shinde i Atharv Pawar. "DDoS Attack Detection Using ML/DL Techniques". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, nr 01 (8.01.2024): 1–10. http://dx.doi.org/10.55041/ijsrem27967.
Pełny tekst źródłaKumar, Sachin, i Subhasree Bhattacharjee. "REVIEW OF AI/ML TECHNIQUES ON COVID-19". International Journal of Engineering Applied Sciences and Technology 7, nr 5 (1.09.2022): 116–18. http://dx.doi.org/10.33564/ijeast.2022.v07i05.020.
Pełny tekst źródłaAbuzaid, Nawal. "Image SPAM Detection Using ML and DL Techniques". International Journal of Advances in Soft Computing and its Applications 14, nr 1 (28.03.2022): 227–43. http://dx.doi.org/10.15849/ijasca.220328.15.
Pełny tekst źródłaT., Logeswari. "Performance Analysis of Ml Techniques for Spam Filtering". International Research Journal on Advanced Science Hub 2, Special Issue ICIES 9S (3.11.2020): 64–69. http://dx.doi.org/10.47392/irjash.2020.161.
Pełny tekst źródłaKore, Rahul C., Prachi Ray, Priyanka Lade i Amit Nerurkar. "Legal Document Summarization Using Nlp and Ml Techniques". International Journal of Engineering and Computer Science 9, nr 05 (20.05.2020): 25039–46. http://dx.doi.org/10.18535/ijecs/v9i05.4488.
Pełny tekst źródłaSethuraman, Sriram, V. S. Nithya i D. Venkata Narayanababu Laveti. "Noniterative Content-Adaptive Distributed Encoding Through ML Techniques". SMPTE Motion Imaging Journal 127, nr 9 (październik 2018): 50–55. http://dx.doi.org/10.5594/jmi.2018.2862647.
Pełny tekst źródłaRozprawy doktorskie na temat "ML TECHNIQUES"
Garg, Anushka. "Comparing Machine Learning Algorithms and Feature Selection Techniques to Predict Undesired Behavior in Business Processesand Study of Auto ML Frameworks". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285559.
Pełny tekst źródłaUnder de senaste åren har omfattningen av maskininlärnings algoritmer och tekniker tagit ett steg i alla branscher (till exempel rekommendationssystem, beteendeanalyser av användare, finansiella applikationer och många fler). I praktiken spelar de en viktig roll för att utnyttja kraften av den enorma mängd data vi för närvarande genererar dagligen i vår digitala värld.I den här studien presenterar vi en omfattande jämförelse av olika övervakade maskininlärnings algoritmer och funktionsvalstekniker för att bygga en bästa förutsägbar modell som en utgång. Således hjälper denna förutsägbara modell företag att förutsäga oönskat beteende i sina affärsprocesser. Dessutom har vi undersökt automatiseringen av alla inblandade steg (från att förstå data till implementeringsmodeller) i den fullständiga maskininlärning rörledningen, även känd som AutoML, och tillhandahåller en omfattande undersökning av de olika ramarna som introducerats i denna domän. Dessa ramar introducerades för att lösa problemet med CASH (kombinerat algoritmval och optimering av Hyper-parameter), vilket i grunden är automatisering av olika rörledningar som är inblandade i processen att bygga en förutsägbar modell för maskininlärning.
Boualem, Abdel-Malek. "Ml-tasc : systeme de conversion de formalismes de langages techniques et scientifiques dans un environnement a syntaxe controlee et a contexte limite. traduction automatique multilingue". Nice, 1993. http://www.theses.fr/1993NICE4683.
Pełny tekst źródłaPIROZZI, MICHELA. "Development of a simulation tool for measurements and analysis of simulated and real data to identify ADLs and behavioral trends through statistics techniques and ML algorithms". Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/272311.
Pełny tekst źródłaWith a growing population of elderly people, the number of subjects at risk of pathology is rapidly increasing. Many research groups are studying pervasive solutions to continuously and unobtrusively monitor fragile subjects in their homes, reducing health-care costs and supporting the medical diagnosis. Anomalous behaviors while performing activities of daily living (ADLs) or variations on behavioral trends are of great importance. To measure ADLs a significant number of parameters need to be considering affecting the measurement such as sensors and environment characteristics or sensors disposition. To face the impossibility to study in the real context the best configuration of sensors able to minimize costs and maximize accuracy, simulation tools are being developed as powerful means. This thesis presents several contributions on this topic. In the following research work, a study of a measurement chain aimed to measure ADLs and represented by PIRs sensors and ML algorithm is conducted and a simulation tool in form of Web Application has been developed to generate datasets and to simulate how the measurement chain reacts varying the configuration of the sensors. Starting from eWare project results, the simulation tool has been thought to provide support for technicians, developers and installers being able to speed up analysis and monitoring times, to allow rapid identification of changes in behavioral trends, to guarantee system performance monitoring and to study the best configuration of the sensors network for a given environment. The UNIVPM Home Care Web App offers the chance to create ad hoc datasets related to ADLs and to conduct analysis thanks to statistical algorithms applied on data. To measure ADLs, machine learning algorithms have been implemented in the tool. Five different tasks have been identified. To test the validity of the developed instrument six case studies divided into two categories have been considered. To the first category belong those studies related to: 1) discover the best configuration of the sensors keeping environmental characteristics and user behavior as constants; 2) define the most performant ML algorithms. The second category aims to proof the stability of the algorithm implemented and its collapse condition by varying user habits. Noise perturbation on data has been applied to all case studies. Results show the validity of the generated datasets. By maximizing the sensors network is it possible to minimize the ML error to 0.8%. Due to cost is a key factor in this scenario, the fourth case studied considered has shown that minimizing the configuration of the sensors it is possible to reduce drastically the cost with a more than reasonable value for the ML error around 11.8%. Results in ADLs measurement can be considered more than satisfactory.
Abd, Alrahman Chadi. "Spectroscopie Laser avec des cavités résonantes de haute finesse couplées à un peigne de fréquences : ML-CEAS et vernier effet techniques. Applications à la mesure in situ de molécules réactives dans les domaines UV et visible". Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENY095/document.
Pełny tekst źródłaThe atmospheric chemistry community suffers a lack of fast, reliable and space resolved measurements for a wide set of reactive molecules (e.g. radicals such as OH, NO3, BrO, IO, etc). Due to their high reactivity, these molecules largely control the lifetime and concentration of numerous key atmospheric species, and may have an important impact on the climate. The concentrations of such radicals are extremely low (ppbv or less) and highly variable in time and space, which imposes a real challenge during the detection. In the first part of this thesis, a compact, robust and transportable UV spectrometer is developed, exploiting the Mode-Locked Cavity Enhanced Absorption Spectroscopy (ML-CEAS) technique to measure pptv and sub-pptv levels of atmospherically important reactive molecules, in particular, halogen oxide radicals, to respond to the emerging needs. The ML-CEAS technique is based on coupling a Mode-Locked femtosecond laser to a high finesse optical cavity, which acts as a photon trap to increase the interaction between the light and the intracavity gas sample, which highly enhances the absorption sensitivity. The detection limit obtained for the IO radical is 20 ppqv (part per quadrillion), which is an impressive result. In the second part of this thesis, a new spectroscopic technique is developed, called Vernier effect, which is also based on the interaction between a mode-locked femtosecond laser with a high finesse optical cavity. This technique provides detection sensitivity similar to that of ML-CEAS technique, but the advantage is that the number of the spectral elements is given by the cavity finesse, so it can reach ten thousands, as well as this technique has a simple setup, where the spectrograph is replaced by a photodiode. Additionally, the time required to measure one output absorption spectrum can be less than 1 ms
Bossé, Mathieu. "La réalisation audionumérique DIY de groupes rock au Québec : pour une méthode de travail plus efficace". Master's thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/36713.
Pełny tekst źródłaIn this master’s thesis, we address the issue of creative processes and recording techniques in different DIY (Do It Yourself) settings as implemented through my experience with different rock, punk, hardcore and alternative bands in Quebec City. Musical styles greatly vary from one project to another, but all of the music groups share three common aspects : 1) They come from the underground scene around Quebec City. 2) They have a rock-type instrumentation (for us, a rock-type instrumentation is made up of minimum two of the following instruments: drums, electric guitar, electric bass and vocal.) 3) They record in a DIY setting, up to a certain point. With the rise of new technologies, DIY recording is more and more common in music bands. In our experience, artists from scenes close to the punk and underground cultures are often limited by their budget and resources or simply have a desire for creative liberty when recording their music. Seeking independence, they will often go for the DIY approach when the time has come for them to record a song or an album, which often lends a punk aesthetic to their audio tracks. This masters thesis seeks to analyse working methods that contribute to obtaining good quality results in DIY recording and to find an efficient methodology that could help the self-taught DIYer in recording music. We believe that by reading about these projects, with the analysis and feedback, an artist who wants to work in a DIY setting will be able to make better decisions in regard to their own recording project and situation. I also offer advice for the DIY recording artist to analyse his own unique recording reality and the one of his different recording projects in order for him to benefit from a faster and favorable learning curve.
MASTRO, PIETRO. "Innovative Techniques for the Retrieval of Earth’s Surface and Atmosphere Geophysical Parameters: Spaceborne Infrared/Microwave Combined Analyses". Doctoral thesis, Università degli studi della Basilicata, 2023. https://hdl.handle.net/11563/162986.
Pełny tekst źródłaAbd, alrahman Chadi. "Spectroscopie Laser avec des cavités résonantes de haute finesse couplées à un peigne de fréquences : ML-CEAS et vernier effet techniques. Applications à la mesure in situ de molécules réactives dans les domaines UV et visible". Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00849145.
Pełny tekst źródłaGherman, Titus Constantin. "Ml-ceas : une nouvelle technique spectroscopique d'absorption de haute sensibilité à l'aide de laser à impulsions ultracourtes". Université Joseph Fourier (Grenoble), 2004. http://www.theses.fr/2004GRE10137.
Pełny tekst źródłaThe principal result of this thesis work is the development of a new high sensitivity technique named: Mode-Locked Cavity-Enhanced Absorption Spectroscopy (ML-CEAS), which exploits constructively the spectral properties of mode-locked lasers and optical cavities. We demonstrate that ML-CEAS can be easily extended to the blue region by frequency-doubling a Ti-Sa laser source. The high sensitivity of ML-CEAS is put in evidence by recording a very high overtone transition of C2H2 at 420 nm (23813 cm-1), with detection limit of 5 x 10-9 cm-1 Hz-1/2. We also include the first practical application of this new technique to the diagnostics of argon and nitrogen plasmas around 400 nm. Another result is the setup, and application in ML-CEAS, of a semiconductor laser: diode-pumped, vertical external-cavity, surface-emitting laser (DP-VECSEL) and mode-locked by a Semiconductor Saturable Absorber Mirror (SESAM). Our system operates around 1. 04 æm. The train of pulses had a repetition rate of 1. 12 GHz and the pulse width was about 10 ps with a few mW of emitted power in mode-locking regime operation. A first demonstration of ML-CEAS using a mode-locked DP-VECSEL is also reported
Gutierrez, Julian. "L'apport du pianiste cubain Emiliano Salvador au jazz latin : analyse technique et esthétique de son jeu". Doctoral thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/33125.
Pełny tekst źródłaGupta, Anjali, Maxwell Krohn i Michael Walfish. "Can Basic ML Techniques Illuminate Rateless Erasure Codes?" 2004. http://hdl.handle.net/1721.1/30467.
Pełny tekst źródłaKsiążki na temat "ML TECHNIQUES"
Appel, Andrew W. Modern compiler implementation in ML: Basic techniques. Cambridge: Cambridge University Press, 1997.
Znajdź pełny tekst źródłaŠtuikys, Vytautas. Meta-Programming and Model-Driven Meta-Program Development: Principles, Processes and Techniques. London: Springer London, 2013.
Znajdź pełny tekst źródłaAppel, Andrew W. Modern compiler implementation in C: Basic techniques. Cambridge: Cambridge University Press, 1997.
Znajdź pełny tekst źródłaMetaprogramming And Modeldriven Metaprogram Development Principles Processes And Techniques. Springer, 2012.
Znajdź pełny tekst źródłaNagel, Stefan. Machine Learning in Asset Pricing. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691218700.001.0001.
Pełny tekst źródłaBhattacharya, Aditya. Applied Machine Learning Explainability Techniques: Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More. Packt Publishing, Limited, 2022.
Znajdź pełny tekst źródłaLi Bassi, Gianluigi, i J. D. Marti. Chest physiotherapy and tracheobronchial suction in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0121.
Pełny tekst źródłaOrenbuch-Harroch, Efrat, i Charles L. Sprung. Pulmonary artery catheterization in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0133.
Pełny tekst źródłaSever, Mehmet Şükrü, i Raymond Vanholder. Acute kidney injury in polytrauma and rhabdomyolysis. Redaktor Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0252_update_001.
Pełny tekst źródłaSoar, Jasmeet, i Jerry P. Nolan. Artificial ventilation in cardiopulmonary resuscitation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0060.
Pełny tekst źródłaCzęści książek na temat "ML TECHNIQUES"
Adriaans, Pieter. "ML techniques and text analysis". W Machine Learning: ECML-93, 460–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56602-3_164.
Pełny tekst źródłaVashisht, Geetika, Ashish Kumar Jha i Manisha Jailia. "Predicting Diabetes Using ML Classification Techniques". W Advances in Intelligent Systems and Computing, 845–54. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5148-2_73.
Pełny tekst źródłaMcAllester, David. "A Logical Algorithm for ML Type Inference". W Rewriting Techniques and Applications, 436–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44881-0_31.
Pełny tekst źródłaMatthews, Brian. "MERILL: An equational reasoning system in standard ML". W Rewriting Techniques and Applications, 441–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56868-9_34.
Pełny tekst źródłaMatthews, Brian. "MERILL: An equational reasoning system in standard ML". W Rewriting Techniques and Applications, 441–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-21551-7_34.
Pełny tekst źródłaShah, Manan, Ameya Kshirsagar i Jainam Panchal. "Midstream sector with ML models and techniques". W Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry, 47–61. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003279532-4.
Pełny tekst źródłaMohanty, Ashima Sindhu, Priyadarsan Parida i Krishna Chandra Patra. "Usage of ML Techniques for ASD Detection". W Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications, 91–112. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003226147-5.
Pełny tekst źródłaPoudel, Khem, Movin Uddin, Revanth Kommu, Sadiat Muhammed, Nahid Hasan i Sammi Hamdan. "HealthCare Text Analytics Using Recent ML Techniques". W Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23), 134–42. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33743-7_11.
Pełny tekst źródłaDeepa Shree, C. V., Jaaswin D. Kotian, Nidhi Gupta, Nikhil M. Adyapak i U. Ananthanagu. "Predicting Code Runtime Complexity Using ML Techniques". W Lecture Notes in Electrical Engineering, 377–99. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7622-5_26.
Pełny tekst źródłaKhan, Hameed, Kamal Kumar Kushwah, Pradeep Kumar Jhinge, Gireesh Gaurav Soni, Ravi Kant Choubey i Rupesh Kushwah. "Faults Diagnosis Using AI and ML". W Artificial Intelligence Techniques in Power Systems Operations and Analysis, 1–16. Boca Raton: Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003301820-1.
Pełny tekst źródłaStreszczenia konferencji na temat "ML TECHNIQUES"
Trubat, Pau, Adrián Herrera i Climent Molins. "Mooring Optimization Using ML Techniques". W ASME 2022 4th International Offshore Wind Technical Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/iowtc2022-98217.
Pełny tekst źródłaSurendiran, B., Tejus Paturu, Harsha Vardhan Chirumamilla i Maruprolu Naga Raju Reddy. "Resume Classification Using ML Techniques". W 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT). IEEE, 2023. http://dx.doi.org/10.1109/iconscept57958.2023.10169907.
Pełny tekst źródłaGlassner, Andrew. "ML/DL roundup". W SIGGRAPH '20: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388769.3407509.
Pełny tekst źródłaSubudhi, Manorama, Kanhu Charan Bhuyan i Ananya Dastidar. "IoT Assisted Farming using ML techniques". W 2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC). IEEE, 2022. http://dx.doi.org/10.1109/isssc56467.2022.10051428.
Pełny tekst źródłaSk, Tajuddin, Leela Madhuri G, Lalitha Ram K i Ranga Rao J. "Health Status Prediction using ML Techniques". W 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2022. http://dx.doi.org/10.1109/iccmc53470.2022.9753766.
Pełny tekst źródłaPasha, Syed Nawaz, Dadi Ramesh, Sallauddin Mohmmad, Navya P., P. Anil Kishan i C. H. Sandeep. "Liver disease prediction using ML techniques". W INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0081787.
Pełny tekst źródłaTummala, Sohith, Prithvi Sriman Maddukuri, Niranjana Nitish Varma Bhupathiraju, Mallikarjuna Rao Cherukupalli i Srujan Singam. "Malicious software detection using ML algorithms". W LOW RADIOACTIVITY TECHNIQUES 2022 (LRT 2022): Proceedings of the 8th International Workshop on Low Radioactivity Techniques. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0161055.
Pełny tekst źródłaRastogi, Rohit, Vaibhav Gupta, Vaibhav Sharma i Tushar Gupta. "Threat Detection and Classification Using ML Techniques". W 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN). IEEE, 2023. http://dx.doi.org/10.1109/cictn57981.2023.10140771.
Pełny tekst źródłaDe, Soumi, Prabu P i Joy Paulose. "Effective ML Techniques to Predict Customer Churn". W 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2021. http://dx.doi.org/10.1109/icirca51532.2021.9544785.
Pełny tekst źródłaRani, Shilpa, Sandeep Kumar, Venkata Subbamma T, Arpit Jain, A. Swathi i Ramakrishna Kumar M. V. N. M. "Commodities Price Prediction using Various ML Techniques". W 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2022. http://dx.doi.org/10.1109/ictacs56270.2022.9987967.
Pełny tekst źródłaRaporty organizacyjne na temat "ML TECHNIQUES"
Faybishenko, Boris, Lavanya Ramakrishnan, Tom Powell, Bhavna Arora, John Wu i Deb Agarwall. On AI Prediction of Hydrological Processes Based on Integration of Retrospective and Forecasting ML Techniques. Office of Scientific and Technical Information (OSTI), kwiecień 2021. http://dx.doi.org/10.2172/1769756.
Pełny tekst źródłaEhiabhi, Jolly, i Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, luty 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.
Pełny tekst źródłaCook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree i Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), październik 2022. http://dx.doi.org/10.21079/11681/45644.
Pełny tekst źródłaClausen, Jay, Vuong Truong, Sophia Bragdon, Susan Frankenstein, Anna Wagner, Rosa Affleck i Christopher Williams. Buried-object-detection improvements incorporating environmental phenomenology into signature physics. Engineer Research and Development Center (U.S.), wrzesień 2022. http://dx.doi.org/10.21079/11681/45625.
Pełny tekst źródłaWeeks, Melvyn. Machine Learning for Prediction and Causal Inference. Instats Inc., 2022. http://dx.doi.org/10.61700/u0qw7udtxd5iz469.
Pełny tekst źródłaWeeks, Melvyn. Machine Learning for Prediction and Causal Inference. Instats Inc., 2022. http://dx.doi.org/10.61700/r1qb0f2baf6jj469.
Pełny tekst źródłaRobles, Marcelo, Claudio Dachevsky i Héctor Llovera. Prospective study: evaluation of the efficacy and longevity of cross-linked hyaluronic acid in nasolabial folds filling. Editorial Lugones, grudzień 2023. http://dx.doi.org/10.47196/0574.
Pełny tekst źródłaIrudayaraj, Joseph, Ze'ev Schmilovitch, Amos Mizrach, Giora Kritzman i Chitrita DebRoy. Rapid detection of food borne pathogens and non-pathogens in fresh produce using FT-IRS and raman spectroscopy. United States Department of Agriculture, październik 2004. http://dx.doi.org/10.32747/2004.7587221.bard.
Pełny tekst źródłaGillor, Osnat, Stefan Wuertz, Karen Shapiro, Nirit Bernstein, Woutrina Miller, Patricia Conrad i Moshe Herzberg. Science-Based Monitoring for Produce Safety: Comparing Indicators and Pathogens in Water, Soil, and Crops. United States Department of Agriculture, maj 2013. http://dx.doi.org/10.32747/2013.7613884.bard.
Pełny tekst źródłaBarefoot, Susan F., Bonita A. Glatz, Nathan Gollop i Thomas A. Hughes. Bacteriocin Markers for Propionibacteria Gene Transfer Systems. United States Department of Agriculture, czerwiec 2000. http://dx.doi.org/10.32747/2000.7573993.bard.
Pełny tekst źródła