Relevant bibliographies by topics / SOFT COMPUTING TECHNIQUE

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'SOFT COMPUTING TECHNIQUE'

Author: Grafiati
Published: 11 September 2023
Last updated: 25 July 2025

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Journal articles on the topic "SOFT COMPUTING TECHNIQUE"

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Sabri, Norlina M., Mazidah Puteh, and Mohamad Rusop Mahmood. "Utilization of Soft Computing Techniques in Sputtering Processes: A Review." Advanced Materials Research 832 (November 2013): 260–65. http://dx.doi.org/10.4028/www.scientific.net/amr.832.260.

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This paper presents an overview of research works on the utilizing of soft computing in the optimization of process parameters and in the prediction of thin film properties in sputtering processes. The papers from this review were obtained from relevant databases and from various scientific journals. The papers collected were published from 2008 to 2012. The focus of the review is to provide an outlook on the utilization of soft computing techniques in sputtering processes. Based on the review, the soft computing techniques which have been applied so far are ANN, GA and Fuzzy Logic. The first
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Yu, Yingbing. "Anomaly Intrusion Detection Based upon Anomalous Events and Soft Computing Technique." International Journal of Machine Learning and Computing 5, no. 6 (2015): 450–53. http://dx.doi.org/10.18178/ijmlc.2015.5.6.550.

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Hasan, Basri KARTAL, and Nisa KARTAL Asiye. "Some Examples on the 'Evolutionary &Genetic', and 'Artificial Life' Strategies in Architectural Design." International Journal of Arts and Social Science 4, no. 2 (2023): 223–31. https://doi.org/10.5281/zenodo.7740258.

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Branches of soft computing emerged before the 1990s, but soft computing became an independent new discipline after the 1990s. Since then, soft computing became one of the top research areas in AI studies. Unlike other computing techniques, soft computing strategies are more tolerant to imprecision, uncertainty, probabilities, predictions, approximations. This technique has started to be used widely in a wide range of disciplines because it can quickly deal with solution sets, optimisation of solutions. Soft computing strategies generally take the human mind as a role model in architectural des
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Wong, K. W., P. M. Wong, T. D. Gedeon, and C. C. Fung. "Rainfall prediction model using soft computing technique." Soft Computing - A Fusion of Foundations, Methodologies and Applications 7, no. 6 (2003): 434–38. http://dx.doi.org/10.1007/s00500-002-0232-4.

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Kaur, Supreet, and Rajiv Mahajan. "Energy efficient clustering protocol for wireless sensor networks." Modern Physics Letters B 32, no. 32 (2018): 1850400. http://dx.doi.org/10.1142/s0217984918504006.

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In this paper, a hybrid soft computing technique-based energy efficient protocol is proposed to improve the inter-cluster data aggregation in clustering based general self-organized tree based energy balance (GSTEB) routing protocol. Initially, improved ant colony optimization-based technique is used to select optimal cluster heads. Afterwards, a hybrid soft computing technique is utilized to communicate the data from cluster heads to sink. Extensive experiments have been done by considering the existing and proposed technique. Experimental results indicate that the proposed technique provides
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Singh, Dharmpal. "An Effort to Design an Integrated System to Extract Information Under the Domain of Metaheuristics." International Journal of Applied Evolutionary Computation 8, no. 3 (2017): 13–52. http://dx.doi.org/10.4018/ijaec.2017070102.

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The main objective of this work is to develop an integrated system that is capable of extracting precise information (knowledge) based on any stored information using the techniques of data mining and soft computing. For the purpose of extracting precise information based on some stored information, it has been further observed that the research work related to the area of knowledge discovery based on certain information with the help of a particular data mining or soft computing model has been done, but the performance based on the particular soft computing or data mining model has not been r
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Shen, Zhongjie, Ahmed Farouk Deifalla, Paweł Kamiński, and Artur Dyczko. "Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning." Materials 15, no. 10 (2022): 3523. http://dx.doi.org/10.3390/ma15103523.

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In civil engineering, ultra-high-strength concrete (UHSC) is a useful and efficient building material. To save money and time in the construction sector, soft computing approaches have been used to estimate concrete properties. As a result, the current work used sophisticated soft computing techniques to estimate the compressive strength of UHSC. In this study, XGBoost, AdaBoost, and Bagging were the employed soft computing techniques. The variables taken into account included cement content, fly ash, silica fume and silicate content, sand and water content, superplasticizer content, steel fib
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A., Dr Sathesh. "ENHANCED SOFT COMPUTING APPROACHES FOR INTRUSION DETECTION SCHEMES IN SOCIAL MEDIA NETWORKS." Journal of Soft Computing Paradigm 2019, no. 2 (2019): 69–79. http://dx.doi.org/10.36548/jscp.2019.2.002.

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The soft computing methods play a vital role in identifying the malicious activities in the social network. The low cost solutions and the robustness provided by the soft computing in the identifying the unwanted activities make it a predominant area of research. The paper combines the soft computing techniques and frames an enhanced soft computing approach to detect the intrusion that cause security issues in the social network. The proffered method of the paper employs the enhanced soft computing technique that combines the fuzzy logic, decision tree, K means -EM and the machine learning in
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Sindhwani, Manoj, Shippu Sachdeva, Krishan Arora, et al. "Soft Computing Techniques Aware Clustering-Based Routing Protocols in Vehicular Ad Hoc Networks: A Review." Applied Sciences 12, no. 15 (2022): 7922. http://dx.doi.org/10.3390/app12157922.

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The vehicular ad hoc network is an emerging area of technology that provides intelligent transportation systems with vast advantages and applications. Frequent disconnections between the vehicular nodes due to high-velocity vehicles impact network performance. This can be addressed by efficient clustering techniques. Several recent studies have attempted to develop optimal clustering algorithms to improve network performance metrics using soft computing techniques. Although sufficient work on soft computing techniques has been carried out, it seems less commonplace to find an analysis of vario
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Ifebanjo, Temitope M* Ogunleye Olawole M. Abiodun Theresa Nkechi Adebiyi Ayodele A. "SOFT COMPUTING APROACHES TO STOCK FORECASTING: A SURVEY." Global Journal of Engineering Science and Research Management 4, no. 5 (2017): 107–31. https://doi.org/10.5281/zenodo.801251.

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Soft computing techniques has been effectively applied in business, engineering, medical domain to solve problems in the past decade. However, this paper focuses on censoring the application of soft computing techniques for stock market prediction in the last decade (2010 - todate). Over a hundred published articles on stock price prediction were reviewed. The survey is done by grouping these published articles into: the stock market surveyed, input variable choices, summary of modelling technique applied, comparative studies, and summary of performance measures. This survey aptly shows that s
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Dissertations / Theses on the topic "SOFT COMPUTING TECHNIQUE"

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Machaka, Pheeha. "Situation recognition using soft computing techniques." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11225.

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Includes bibliographical references.<br>The last decades have witnessed the emergence of a large number of devices pervasively launched into our daily lives as systems producing and collecting data from a variety of information sources to provide different services to different users via a variety of applications. These include infrastructure management, business process monitoring, crisis management and many other system-monitoring activities. Being processed in real-time, these information production/collection activities raise an interest for live performance monitoring, analysis and report
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Fernando, Kurukulasuriya Joseph Tilak Nihal. "Soft computing techniques in power system analysis." Thesis, full-text, 2008. https://vuir.vu.edu.au/2025/.

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Soft computing is a concept that has come into prominence in recent times and its application to power system analysis is still more recent. This thesis explores the application of soft computing techniques in the area of voltage stability of power systems. Soft computing, as opposed to conventional “hard” computing, is a technique that is tolerant of imprecision, uncertainty, partial truth and approximation. Its methods are based on the working of the human brain and it is commonly known as artificial intelligence. The human brain is capable of arriving at valid conclusions based on incompl
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Fernando, Kurukulasuriya Joseph Tilak Nihal. "Soft computing techniques in power system analysis." full-text, 2008. http://eprints.vu.edu.au/2025/1/thesis.pdf.

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Soft computing is a concept that has come into prominence in recent times and its application to power system analysis is still more recent. This thesis explores the application of soft computing techniques in the area of voltage stability of power systems. Soft computing, as opposed to conventional “hard” computing, is a technique that is tolerant of imprecision, uncertainty, partial truth and approximation. Its methods are based on the working of the human brain and it is commonly known as artificial intelligence. The human brain is capable of arriving at valid conclusions based on incomplet
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Esteves, João Trevizoli. "Climate and agrometeorology forecasting using soft computing techniques. /." Jaboticabal, 2018. http://hdl.handle.net/11449/180833.

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Orientador: Glauco de Souza Rolim<br>Resumo: Precipitação, em pequenas escalas de tempo, é um fenômeno associado a altos níveis de incerteza e variabilidade. Dada a sua natureza, técnicas tradicionais de previsão são dispendiosas e exigentes em termos computacionais. Este trabalho apresenta um modelo para prever a ocorrência de chuvas em curtos intervalos de tempo por Redes Neurais Artificiais (RNAs) em períodos acumulados de 3 a 7 dias para cada estação climática, mitigando a necessidade de predizer o seu volume. Com essa premissa pretende-se reduzir a variância, aumentar a tendência dos dado
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Erman, Maria. "Applications of Soft Computing Techniques for Wireless Communications." Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17314.

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This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented. Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current t
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Perez, Ruben E. "Soft Computing techniques and applications in aircraft design optimization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63122.pdf.

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Wang, Lijuan. "Multiphase flow measurement using Coriolis flowmeters incorporating soft computing techniques." Thesis, University of Kent, 2017. https://kar.kent.ac.uk/63877/.

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This thesis describes a novel measurement methodology for two-phase or multiphase flow using Coriolis flowmeters incorporating soft computing techniques. A review of methodologies and techniques for two-phase and multiphase flow measurement is given, together with the discussions of existing problems and technical requirements in their applications. The proposed measurement system is based on established sensors and data-driven models. Detailed principle and implementation of input variable selection methods for data-driven models and associated data-driven modelling process are reported. Thre
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Yang, Yingjie. "Investigation on soft computing techniques for airport environment evaluation systems." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/35015.

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Spatial and temporal information exist widely in engineering fields, especially in airport environmental management systems. Airport environment is influenced by many different factors and uncertainty is a significant part of the system. Decision support considering this kind of spatial and temporal information and uncertainty is crucial for airport environment related engineering planning and operation. Geographical information systems and computer aided design are two powerful tools in supporting spatial and temporal information systems. However, the present geographical information systems
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Amina, Mahdi. "Dynamic non-linear system modelling using wavelet-based soft computing techniques." Thesis, University of Westminster, 2011. https://westminsterresearch.westminster.ac.uk/item/8zwwz/dynamic-non-linear-system-modelling-using-wavelet-based-soft-computing-techniques.

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The enormous number of complex systems results in the necessity of high-level and cost-efficient modelling structures for the operators and system designers. Model-based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Soft computing based models in particular, can successfully be applied in cases of highly nonlinear problems. A further reason for dealing with so called soft computational model based techniques is that in real-world cases, many times only partial, uncertain and/or inaccurate data is available. Wavelet-Based soft computing techniques a
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Chen, Mingwu. "Motion planning and control of mobile manipulators using soft computing techniques." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266128.

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Books on the topic "SOFT COMPUTING TECHNIQUE"

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Chaudhuri, Arindam, and Soumya K. Ghosh. Bankruptcy Prediction through Soft Computing based Deep Learning Technique. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6683-2.

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Borah, Samarjeet, Ratna Raja Kumar Jambi, Sharifah Sakinah Syed Ahmad, and Mahendra Prabhakar Deore. Applied Soft Computing Techniques. Apple Academic Press, 2025. https://doi.org/10.1201/9781003593133.

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Borah, Samarjeet, Ratika Pradhan, Nilanjan Dey, and Phalguni Gupta, eds. Soft Computing Techniques and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7394-1.

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Timbadiya, P. V., P. L. Patel, Vijay P. Singh, and A. B. Mirajkar, eds. Geospatial and Soft Computing Techniques. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1901-7.

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K, Anbumani, and Nedunchezhian R, eds. Soft computing applications for database technologies: Techniques and issues. Information Science Reference, 2010.

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Patnaik, Srikanta, and Baojiang Zhong, eds. Soft Computing Techniques in Engineering Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04693-8.

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Patnaik, Srikanta, and Yeon-Mo Yang, eds. Soft Computing Techniques in Vision Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25507-6.

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Patnaik, Srikanta. Soft Computing Techniques in Vision Science. Springer Berlin Heidelberg, 2012.

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Chakraborty, Kabir, and Abhijit Chakrabarti. Soft Computing Techniques in Voltage Security Analysis. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2307-8.

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Sharma, Moolchand, Suman Deswal, Umesh Gupta, Mujahid Tabassum, and Isah Lawal. Soft Computing Techniques in Connected Healthcare Systems. CRC Press, 2023. http://dx.doi.org/10.1201/9781003405368.

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Book chapters on the topic "SOFT COMPUTING TECHNIQUE"

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Rotaru, Florin, Silviu-Ioan Bejinariu, Cristina Diana Niţă, Ramona Luca, Mihaela Luca, and Adrian Ciobanu. "Retinal Vessel Classification Technique." In Soft Computing Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62524-9_37.

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Jara-Maldonado, Miguel, Vicente Alarcon-Aquino, and Roberto Rosas-Romero. "A Multiresolution Machine Learning Technique to Identify Exoplanets." In Advances in Soft Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60884-2_4.

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Selouani, Sid-Ahmed. "Variance of the Reconstruction Error Technique." In Speech Processing and Soft Computing. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9685-5_4.

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Sarwar, Sohail, Zia Ul-Qayyum, and Owais Ahmed Malik. "CBR and Neural Networks Based Technique for Predictive Prefetching." In Advances in Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16773-7_19.

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Chakkaravarthy, Prabhu, G. Parthasarathy, P. Visu, A. Mohan, and Sanju Das. "A Novel Technique Enabling Text-To-Speech Signal Converting System Using Raspberry PI." In Applied Soft Computing Techniques. Apple Academic Press, 2025. https://doi.org/10.1201/9781003593133-27.

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Kazikova, Anezka, Michal Pluhacek, Adam Viktorin, and Roman Senkerik. "New Running Technique for the Bison Algorithm." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91253-0_39.

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Pankwar, Deepak, G. L. Saini, Pankaj Agarwal, and Pardeep Singh. "Firefly Optimization Technique for Software Quality Prediction." In Soft Computing: Theories and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0707-4_25.

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Singh, Ashwini, and A. B. Mirajkar. "Leakage Management in WDN System Using Optimization Technique." In Geospatial and Soft Computing Techniques. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1901-7_28.

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Soni, Ashu, and Maneesha Gupta. "Fractional Order Elliptic Filter Implemented Using Optimization Technique." In Cognitive Informatics and Soft Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1056-1_16.

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Joon, Kirti, Namrata Agrawal, Hifzan Ahmad, Vikash Yadav, Dinesh Kumar Sah, and Cornel Barna. "DDoS Attack Prevention Protocol Through Support Vector Machine and Fuzzy Clustering Mechanism on Traffic Flow with Harmonic Homogeneity Validation Technique." In Soft Computing Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51992-6_17.

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Conference papers on the topic "SOFT COMPUTING TECHNIQUE"

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Talwandi, Navjot Singh, and Swati. "Digital Filter Design Using Soft Computing Technique." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625124.

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Yusufzai, Shovana Khan, Majid Jamil, and Sheeraz Kirmani. "Nonlinear Control of Soft Switching Technique based DC Converters for Electric Vehicles." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739017.

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Reddy, G. Deepika, N. R. Medikondu, T. Vijaya Kumar, M. B. S. Sreekara Reddy, P. Harisha, and M. Murali Krishna. "Soft computing technique for jobs scheduling." In 2ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION SCIENTIFIC DEVELOPMENT (ICAISD) 2021: Innovating Scientific Learning for Deep Communication. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0143070.

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Singh, J. Amar Pratap, and M. Karnan. "Intelligent Location Management Using Soft Computing Technique." In 2010 Second International Conference on Communication Software and Networks. IEEE, 2010. http://dx.doi.org/10.1109/iccsn.2010.60.

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Goel, Shubham, Amrendra Tripathi, Tanupriya Choudhury, and Vivek Kumar. "Parkinson's Disease Detection using Soft Computing Technique." In 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART). IEEE, 2019. http://dx.doi.org/10.1109/smart46866.2019.9117384.

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Mishra, Arvind Kumar, Renuka Nagpal, Kirti Seth, and Rajni Sehgal. "Analyzability of SOA using Soft Computing Technique." In 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2022. http://dx.doi.org/10.1109/icrito56286.2022.9964602.

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Barbu, Tudor, Mihaela Costin, and Adrian Ciobanu. "Content-based image recognition technique using area moments." In 2010 4th International Workshop on Soft Computing Applications (SOFA). IEEE, 2010. http://dx.doi.org/10.1109/sofa.2010.5565603.

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Barbu, Tudor, Mihaela Costin, and Adrian Ciobanu. "Histogram intersection based image retrieval technique using relevance feedback." In 2009 3rd International Workshop on Soft Computing Applications (SOFA). IEEE, 2009. http://dx.doi.org/10.1109/sofa.2009.5254878.

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Ge Zheng, Qinghua Cao, and Chao Liu. "Anomaly intrusion detection based on soft computing technique." In 2011 International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM). IEEE, 2011. http://dx.doi.org/10.1109/icssem.2011.6081303.

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Esther, J., and M. Mohamed Sathik. "Retrieval of Brain Image Using Soft Computing Technique." In 2014 International Conference on Intelligent Computing Applications (ICICA). IEEE, 2014. http://dx.doi.org/10.1109/icica.2014.104.

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