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das kedar nath (curatore); das debasish (curatore); ray anjan kumar (curatore); suganthan ponnuthurai nagaratnam (curatore) - proceedings of the international conference on computational intelligence and sustainable technologies

Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies ICoCIST 2021

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 02/2022
Edizione: 1st ed. 2022





Trama

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).






Sommario

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 Designing in 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.




Autore

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 of Technology 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 Scienc











Altre Informazioni

ISBN:

9789811668920

Condizione: Nuovo
Collana: Algorithms for Intelligent Systems
Dimensioni: 235 x 155 mm Ø 1358 gr
Formato: Copertina rigida
Illustration Notes:XXI, 777 p. 341 illus., 262 illus. in color.
Pagine Arabe: 777
Pagine Romane: xxi


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