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1(2), (2022):1-8. DOI: DOI: https://doi.org/10.46632/jmc/1/2/1
Chandran Subramani, Sathiyaraj Chinnasamy, Ashwini Murugan, Chandrasekar Raja.
Genetically Enhanced Neural Network System (GONNS) Proposed as a selection-making tool. Many neural networks represent the traits of the machine after a training method and Genetic algorithms stumble on best operating situations. In many packages, together with material selection in engineering, specialists evaluate diverse alternatives, The records were calculated to decide the proportion of the 2 strategies in estimating the scores, from which strategies of accuracy and espresso blunders prices had been received. To discover the proper one for each technique, create a rating of trainees who’ve obtained an internship application in a particular phase of the company. This From the constraints, it was important to evaluate the services within the computer faculties in the Poly Digital Library, therefore making tips for service enhancements. Although the rules to follow aren’t usually nicely documented, their final desire is typically correct and their predictions are reasonable. In principle, the evaluator is the one who collects complete and accurate records about the coverage in a selected product / challenge / provider / evaluate from the evaluator, is the analytical process. Therefore, it could be used as an advice in decision making. Evaluation is statistics approximately gathering, reading and dispensing particular fabric. Computer studying manage Provides suitable capability although the optimization method is used to deliver the final result, the professional opinion will inevitably reduce the number of options, so that it will be examined very cautiously. The rank of PSF1, PSF 2, PSF 3, VSF 1, VSF 2, VSF 3. The PSF 1 is on the 1 rank, The VSF 3 is on the 2ndrank, The PSF 2 is on the 3rd rank, The VSF 1 is on 4th rank, The PSF 3 is on the 5th rank and also VSF 2 is on the last rank.
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Hung, Bui Thanh, Prasun Chakrabarti, Xue-bo JIN, Tulika Chakrabarti, and Ahmed A. Elngar. “A Novel Artificial Intelligence-Based Predictive Analytics Technique to Detect Skin Cancer.”
Sukumaran, C., and P. J. Sebastian. “Effect of Inclusive Games and Physical Exercises on Selected Physical Variables among the Intellectually Challenged Children.” Annals of the Romanian Society for Cell Biology 26, no. 01 (2022): 1442-1450.
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Rathor, Ketan, Anshul Mandawat, Kartik A. Pandya, Bhanu Teja, Falak Khan, and Zoheib Tufail Khan. “Management of Shipment Content using Novel Practices of Supply Chain Management and Big Data Analytics.” In 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), pp. 884-887. IEEE, 2022.
Tanwar, Sarvesh, and Anil Kumar. “Secure key issuing scheme in ID-based cryptography with revocable ID.” Information Security Journal: A Global Perspective 31, no. 6 (2022): 676-685.
Ranjit, P. S., P. K. Sharma, and M. Saxena. “Experimental investigations on influence of gaseous hydrogen (GH2) supplementation in in-direct injection (IDI) compression ignition engine fuelled with Pre-Heated Straight Vegetable Oil (PHSVO).” International Journal of Scientific & Engineering Reserach (IJSER) 5, no. 10 (2014).
Mishra, Amit Kumar, and Ajay Kumar Saxena. “Data mining technology and its applications to power systems.” International Journal of Computer Applications 131, no. 8 (2015).
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Listyaningsih, Vickky, HendraSetiawan, EkoSudrajat, and Ryan PutrandaKristianto. “DssPemilihanPenerimaBantuanPerbaikanRumahDenganMetode WEIGHTED PRODUCT.” SEMNASTEKNOMEDIA ONLINE 5, no. 1 (2017): 3-5.
Rathore, monika, deepak vyas, tulika chakrabarti, archana gajbhiye, and mahendra singh rathore. “chemical and statical study of chlorinated pesticides and biofertilizer on growth parameters of cotton cultivation from different villages of nagaur district in rajsthan (india).”
C Sukumaran, M Ramachandran, Vimala Saravanan, Sathiyaraj Chinnasamy. “An Empirical study of Brand Marketing Using TOPSIS MCDM Method.”, REST Journal on Banking, Accounting and Business 1, no. 1 (2022):10-18.
Barua, Kuntal, Prasun Chakrabarti, Avinash Panwar, and Amrit Ghosh. “A Predictive Analytical Model in Education Scenario based on Critical Thinking using WEKA.” Int. J. Technol. Res. Manag 5 (2018).
Rathor, Ketan, Sushant Lenka, Kartik A. Pandya, B. S. Gokulakrishna, Susheel Sriram Ananthan, and Zoheib Tufail Khan. “A Detailed View on industrial Safety and Health Analytics using Machine Learning Hybrid Ensemble Techniques.” In 2022 International Conference on Edge Computing and Applications (ICECAA), pp. 1166-1169. IEEE, 2022.
Kumar Pandey, Rakesh, Anil Kumar, Ajay Mandal, and Behzad Vaferi. “Employing deep learning neural networks for characterizing dual-porosity reservoirs based on pressure transient tests.” Journal of Energy Resources Technology 144, no. 11 (2022): 113002.
Krishna Kumar, T. P., M. Ramachandran, and Sathiyaraj Chinnasamy. “Exploring Various Applications of Block Chain Technology.” Recent trends in Management and Commerce 1, no. 1 (2020): 92-96.
Ranjit, P. S., Santosh Kumar Dash, and Vinjamuri Venkata Kamesh. “Experimental investigation on influence of injection pressure on gaseous hydrogen supplemented SVO operated IDI CI engine.” Materials Today: Proceedings 43 (2021): 281-286.
Sharma, Bhisham, Deepika Koundal, and Raman Singh. “Guest editorial:: Introduction to the Special Section on Load Balancing of Sensory Data for IoT Deep Learning Applications with Edge/Fog Computing (VSI-lbdl).” (2021).
Khan, Hera, Ayush Srivastav, and Amit Kumar Mishra. “Estimation of Permeability of a Reservoir using Deep Learning Algorithms on Well Logs.” In Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE). 2019.
Khairina, Dyna Marisa, Muhammad ReskiAsrian, and HelizaRahmaniaHatta. “Decision support system for new employee recruitment using weighted product method.” In 2016 3rd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), pp. 297-301. IEEE, 2016.
Boltürk, Eda, Ali Karaşan, and CengizKahraman. “Simple additive weighting and weighted product methods using neutrosophic sets.” In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets, pp. 647-676. Springer, Cham, 2019.
Das, Bijoy, SumanSankarBhunia, Sarbani Roy, and Nandini Mukherjee. “Multi criteria routing in wireless sensor network using weighted product model and relative rating.” In 2015 Applications and Innovations in Mobile Computing (AIMoC), pp. 132-136. IEEE, 2015.
Tzeng, Gwo-Hshiung, Cheng-Hsin Chiang, and Chung-Wei Li. “Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL.” Expert systems with Applications 32, no. 4 (2007): 1028-1044.
Patnaik, Prabina Kumar, Priyadarshi Tapas Ranjan Swain, Srimant Kumar Mishra, Abhilash Purohit, and Sandhyarani Biswas. “Composite material selection for structural applications based on AHP-MOORA approach.” Materials Today: Proceedings 33 (2020): 5659-5663.
Chakrabarti, Prasun, Tulika Chakrabarti, Mayank Sharma, Divyanshu Atre, and K. Baba Pai. “Quantification of Thought Analysis of Alcohol-Addicted Persons and Memory Loss of Patients Suffering from Stage 4 Liver Cancer.” In Soft Computing: Theories and Applications: Proceedings of SoCTA 2018, pp. 1099-1105. Springer Singapore, 2020.
Kothi, Nakshatra, Pradeep Laxkar, Sandeep Chaurasia, and Prasun Chakrabarti. “A Novel Approach to Design Extended LFU Page Replacement Algorithm.” International Journal of Advanced Science and Technology 28, no. 20 (2019): 718-726.
Rathor, Ketan, Keyur Patil, Mandiga Sahasra Sai Tarun, Shashwat Nikam, Devanshi Patel, and Sasanapuri Ranjit. “A Novel and Efficient Method to Detect the Face Coverings to Ensurethe Safety using Comparison Analysis.” In 2022 International Conference on Edge Computing and Applications (ICECAA), pp. 1664-1667. IEEE, 2022.
Kumar, Anil, Rajabov Sherzod Umurzoqovich, Nguyen Duc Duong, Pratik Kanani, Arulmani Kuppusamy, M. Praneesh, and Minh Ngyen Hieu. “An intrusion identification and prevention for cloud computing: From the perspective of deep learning.” Optik 270 (2022): 170044.
Krishna Kumar, T. P., M. Ramachandran, and Vimala Saravanan. “Candidate Selection for a Project Using Weight Sum Method.” Data Analytics and Artificial Intelligence 1, no. 1 (2021): 53-59.
Jain, Rishabh, and P. S. Ranjit. “Design of a Drivetrain for Sae Baja Racing Off-Road Vehicle.” International Journal of Advanced Engineering, Management and Science 1, no. 4 (2015): 27-35.
Singh, Sartajvir, Vishakha Sood, and Bhisham Sharma. “Systematic survey of compression algorithms in medical imaging.” In Advances in Computational Techniques for Biomedical Image Analysis, pp. 205-230. Academic Press, 2020.
Pandey, Harshita, Amit Kumar Mishra, and Dr Narendra Kumar. “Various aspects of sentiment analysis: a review.” In Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE). 2019.
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Deepa, N., Asmat Parveen, Anjum Khurshid, M. Ramachandran, C. Sathiyaraj, and C. Vimala. “A study on issues and preventive measures taken to control Covid-19.” In AIP Conference Proceedings, vol. 2393, no. 1, p. 020226. AIP Publishing LLC, 2022.
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Soares, Giselle A., Tanima Bhattacharya, Tulika Chakrabarti, Priti Tagde, and Simona Cavalu. “Exploring pharmacological mechanisms of essential oils on the central nervous system.” Plants 11, no. 1 (2022): 21.
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Chaudhuri, Avijit Kumar, Arkadip Ray, Anirban Das, Prasun Chakrabarti, and Dilip K. Banerjee. “Early Detection of Cardiovascular Disease in Patients with Chronic Kidney Disease using Data Mining Techniques.” Asian Journal For Convergence In Technology (AJCT) ISSN-2350-1146 6, no. 3 (2020): 65-76.
Manjunath, C. R., Ketan Rathor, Nandini Kulkarni, Prashant Pandurang Patil, Manoj S. Patil, and Jasdeep Singh. “Cloud Based DDOS Attack Detection Using Machine Learning Architectures: Understanding the Potential for Scientific Applications.” International Journal of Intelligent Systems and Applications in Engineering 10, no. 2s (2022): 268-271.
Mansour, Romany F., Eatedal Alabdulkreem, Heba F. Eid, K. Sathishkumar, Mohd Abdul Rahim Khan, and Anil Kumar. “Fuzzy logic based on-line fault detection and classification method of substation equipment based on convolutional probabilistic neural network with discrete wavelet transform and fuzzy interference.” Optik 270 (2022): 169956.
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