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Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies: ICoCIST 2021 de Kedar Nath Das

Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies: ICoCIST 2021: Algorithms for Intelligent Systems

Editat de Kedar Nath Das, Debasish Das, Anjan Kumar Ray, Ponnuthurai Nagaratnam Suganthan
en Limba Engleză Paperback – 14 feb 2023
This book presents the collection of the accepted research papers presented in the 1st ‘International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)’. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).

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Specificații

ISBN-13: 9789811668951
ISBN-10: 9811668957
Pagini: 777
Ilustrații: XXI, 777 p. 341 illus., 262 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.1 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Algorithms for Intelligent Systems

Locul publicării:Singapore, Singapore

Cuprins

Multi-Choice Programming with Benefits using Kriging Interpolation Method.- Prediction of Alzheimer's Disease using Machine Learning Algorithm.- A Study of the Caputo-Fabrizio Fractional Model for Atherosclerosis Disease.- Fourth order computations of forced convection heat transfer past an isothermal/isoflux cylinder in cylindrical geometry with pseudo time iteration technique.- Implementation of Arithmetic Logic Unit using Area Efficient Adder.- Optimized design of ALU using Reversible Gates.- On-street parking management in Urban CBD: A Review.- Optimal Location of IPFC on LFC Studies Considering PI-TIDN controller and RT-Lab.- Redox Flow Battery Support for Combined ALFC-AVR Control of Multiarea Thermal system Incorporating Renewable Energy Sources.- Cascaded Neural Network Approach for Template Based Array Synthesis.- Deep Learning Assisted Technology for MIMO OFDM 5G Application.- Multi objective Hydro-Thermal-Wind Scheduling applying PSO.- Design and Implementation of Recommendation System using Sentiment Analysis in Social Media.- Content Based Movie Recommendation System with Sentiment Evaluation of Viewer’s Reviews.- New characterization of electrode of supercapacitor with its application as a backup power supply.- Classification of Indian classical dance hand gestures: A Dense SIFT based approach.- A Grid Connecting Control Scheme for Reactive Power Compensation of PV Inverter.- Quantification of Urinary bladder for early detection of hazard in Oliguric patient under dialysis using Embedded System.- Shorted Non-radiating Edges Integrated 2x1 Rectangular Microstrip Antenna for Concurrent Improvement of Gain and Polarization Purity.- A mutual authentication and key agreement protocol for smart grid environment using lattice.- Identification of Malignant Lymphoblast Cell in Bone Marrow using Machine Learning.- Predicting Tamil Nadu Election 2021 Results using Sentimental Analysis Before Counting.- Ticket Dispensation Using Face Detection and Classification.-Estimating the Effectiveness of Paratransit Service in Guwahati City.- A state-of-the-art review on multi-criteria decision making approaches for micro-grid planning.- Availability of different agricultural biomass for energy applications in Villupuram and Cuddalore district.- Deep Wavelet based Compressive Sensing Data Reconstruction for Wireless Visual Sensor Networks.- Optimized 64-bit reversible BCD Adder for low power applications and its comparative study.- Disease Prediction using Various Data Mining Techniques.- Classification Of Medicinal Plant Species Using Neural Network Classifier: A Comparative Study.- Stock Market Prediction of Neural network: A Literature Review.- Expanding Electricity Access in Rural Uttarakhand by Mobilization of Local Resources.- Detection of Abnormalities in Mammograms using Deep Convolutional Neural Networks.- Orange Fruit Recognition using Neural Networks.- Machine learning based method for recognition of paddy leaf diseases.- Data-Path Designingin Multi-Voltage Domain.- State Space Approach of Automatic Generation Control of Two-Area Multi Source Power systems.- A neural network model to estimate parameters of DBSCAN for flood image segmentation.- Quality Assessment of Public Transport: A Review.- Blockchain Technology Used in the Mid-Day Meal Scheme Program Supply Chain Management.- Economic Load Dispatch: A Holistic Review on Modern Bio-Inspired Optimization Techniques.- Enhanced Multigradient Dilution Preparation.- Breakdown Voltage Improvement in AlGaN/GaN HEMT by Introducing a Field Plate.- Engineering optimization using an advanced hybrid algorithm.- Image Enhancement using Chicken Swarm Optimization.- AHP-utility Approach for Mode Choice Analysis of Online Delivery System.- Medical Electronics Device to Provide Non-Invasive Therapy to Treat Deep Vein Thrombosis using BLE and Embedded Systems.- Applying Efforts for Behavior Based Authentication for Mobile Cloud Security.- A Comprehensive Study on SCADA based Intake, Water Treatment Plant and Intermediate Pumping Station of Existing Water Supply System.- Multimodal Summarization: A Concise Review.- Power Quality Issues with Penetration of Wind Energy and The Role of LDC: A Mini Review.- Strategies on Smart Energy Management Policies in India.- Stand-Alone Bidirectional Encoder Representations from Transformers based Fake News Detection Model.- A Tactical analysis of SSPT Modules with Smart-Grid Renewable Energy System Entanglement.- Smart Student participation Assessment using Fuzzy Logic.- Generation of a Trust Model for Secured Data Transfer in IoT.- Investigation of Localization Error in Range Free Centroid and DV Hop Based Localization Algorithms and Optimization using PSO.- Dynamic Network Traffic Management for Secure and Faster Data Transmission.- Numerical Modelling of Infiltration rate.- Hybrid Flower Pollination Algorithm for optimization problems.- Predicting Autism Using Machine Learning.

Notă biografică

Dr Kedar Nath Das is currently working as Assistant Professor in the Department of Mathematics, NIT Silchar, Assam. He qualified the GATE examination and was awarded his Ph. D. degree from IIT Roorkee in the year 2008. His area of research interest includes operations research, evolutionary optimization techniques, networking optimization and multi-objective optimization. As of now, he has over 50 research papers to his credit including papers in international journals of repute, which has around 400 Google scholar citations till date. There is 1 books and 3 book chapters to his credit. He has already guided 5 Ph. D. scholars, and recently 4 are working under him. Also, he has successfully guided about 6 M. Sc. projects and 2 undergraduate internships. He has visited around 11 foreign countries (including Las Vegas, USA; London, UK; Amsterdam, Netherlands; Bangkok, Thailand; Singapore;  Dubai; Kuching, Malaysia; Bratislava; Budapest, Vienna, Prague, Liverpool, UK; Wales, UK) and delivered about 35 expert lectures at different institutions of repute, in India. As coordinator, he has organized 12 events including STTP, international conference, workshops and self-financed courses. He has already reviewed more than 100 research papers. He is the life member of Operational Research Society of India (ORSI), The Indian Society for Technical Education (ISTE), Odisha Mathematical Society (OMS) and member of IEEE. He has been recently awarded ‘Slovak National Scholarship’ in the year 2019. He also acts as Investigator to a project, Government of India.
Dr. Debasish Das is presently working as Head of the Department in the Department of Civil Engineering, JIS College of Engineering (JISCE), Kalyani, West Bengal. Prior to joining JISCE, he worked as Assistant Professor and Head of the Department in the Department of Civil Engineering, Siliguri Institute of Technology, Siliguri. He has completed his Ph.D. in Transportation Engineering from National Institute ofTechnology Silchar, India; Master of Technology (M-Tech) in Transportation Engineering from National Institute of Technology, Silchar, India, and Bachelor of Technology (B-Tech) in Civil Engineering from National Institute of Technology, Durgapur. He has published more than 20 research papers in reputed international journals/conferences in the field of traffic engineering and transportation planning. His current research includes traffic engineering, transportation demand modelling, effect of COVID-19 on mode choice, effect of e-rickshaw in environmental pollution, plastic waste management, etc. He is a continuous reviewer of many reputed national/international journals. He also entitled with a project from WB-DST&BT, Government of West Bengal. He was participating in many international conferences as organizing member, session chair and member in technical programme committee.
Dr. Anjan Kumar Ray is now working as Assistant Professor in the Electrical and Electronics Engineering Department at NIT Sikkim, India. He has obtained his Ph.D. degree from IIT Kanpur. He was observed as a research associate at University of Ulster, UK. He has been posted as senior project engineer at IIT Kanpur and has been a visiting research scholar at University of Texas at San Antonio, USA. He is now the Dean of Research and Consultancy at NIT Sikkim. Along with, he has shouldered many administrative responsibility in his parent institution, like Senate Member, FIC Control Systems Laboratory, Chairperson, Innovation Cell, Start-up Cell Coordinator, FIC Library, Warden of Hostel (Admin). He has been working as HoD In-charge, EEE Department and FIC ICTI. He has completed one project under TEQIP-III, and one more MeitY project is ongoing. To his credit, he has awarded one Ph. D. scholar and more three are ongoing. He published 14 journal papers and 4 book chapters. He has been invited at the Rashtrapati Bhavan (President Office), India, for Festival of Innovation and Entrepreneurship 2018 to represent NIT Sikkim for project display and interaction with exhibitor groups with innovation clubs in March 2018. In addition, he acted as a reviewer and technical programme committee member of a number of journals and conferences.
Dr Ponnuthurai Nagaratnam Suganthan is now working as an associate professor in the School of Electrical & Electronic Engineering, NTU, Singapore. He  finished schooling at Union College (Tellippalai, Jaffna) and subsequently received the B.A. degree, Postgraduate Certificate and M.A. degree in Electrical and Information Engineering from the University of Cambridge, UK in 1990, 1992 and 1994, respectively. He received an honorary doctorate (i.e. Doctor Honoris Causa) in 2020 from University of Maribor, Slovenia. After completing his Ph.D. research in 1995, he served as Pre-doctoral Research Assistant in the Department of Electrical Engineering, University of Sydney, in 1995–96 and a lecturer in the Department  of Computer Science and Electrical Engineering, University of Queensland in 1996–99. He moved to Singapore in 1999. He was Editorial Board Member of the Evolutionary Computation Journal, MIT Press (2013–2018) and Associate Editor of the IEEE Trans on Cybernetics (2012–2018). He is Associate Editor of Applied Soft Computing (Elsevier, 2018- ), Neurocomputing (Elsevier, 2018- ), IEEE Trans on Evolutionary Computation (2005 - ), Information Sciences (Elsevier, 2009 - ), Pattern Recognition (Elsevier, 2001 - ) and IEEE Trans. on SMC: Systems (2020 - ). He is a founding co-editor-in-chief of Swarm and Evolutionary Computation (2010 - ), an SCI Indexed Elsevier Journal. His co-authored SaDE paper (published in April 2009) won the "IEEE Trans. on Evolutionary Computation outstanding paper award" in 2012. His former Ph.D. student, Dr Jane Jing Liang, won the IEEE CIS Outstanding Ph.D. dissertation award, in 2014. IEEE CIS Singapore Chapter won the best chapter award in Singapore in 2014 for its achievementsin 2013 under his leadership. His research interests include swarm and evolutionary algorithms, pattern recognition, forecasting, randomized neural networks, deep learning and applications of swarm, evolutionary and machine learning algorithms. His publications have been well cited (Googlescholar Citations: ~45k). He was selected as one of the highly cited researchers by Thomson Reuters every year from 2015 to 2020 in computer science. He is ranked worldwide 300-400 among all computer science and electronics researchers (also include some control and communication engineering researchers) with public Google Scholar profiles. He served as General Chair of the IEEE SSCI 2013. He is an IEEE CIS distinguished lecturer (DLP) in 2018–2021. He has been a member of the IEEE (S'91, M'92, SM'00, Fellow’15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014–2016.

Textul de pe ultima copertă

This book presents the collection of the accepted research papers presented in the 1st ‘International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)’. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).

Caracteristici

Presents research works in the field of computational intelligence Gathers the outcomes of the ICoCIST-2021, held in Sikkim, India, during October 2021 Offers a reference guide for researchers and practitioners in academia and industry