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Data Science and Applications de Satyasai Jagannath Nanda

Data Science and Applications: Lecture Notes in Networks and Systems, cartea 820

Editat de Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
en Limba Engleză Paperback – 18 ian 2024

Considerăm că valoarea centrală a volumului Data Science and Applications rezidă în diversitatea studiilor de caz și a aplicațiilor practice prezentate, de la clasificarea culturilor agricole utilizând Deep Learning pe serii de imagini SAR, până la implementarea sistemelor de autentificare cu doi factori pentru Internet of Drones (IoD) folosind tehnologia Blockchain. Cartea nu se limitează la prezentări teoretice, ci propune soluții concrete pentru optimizarea proceselor de învățare prin analiza opiniilor stakeholderilor sau pentru gestionarea alocării locurilor în cimitire prin Ethereum. Structura volumului, organizată în patru secțiuni tematice, ghidează cititorul printr-o progresie logică de la algoritmi de bază și optimizare la implementări complexe în inginerie civilă și medicină.

Această ediție extinde cadrul propus de Smart Technologies in Data Science and Communication cu date noi din perioada 2021-2023, punând un accent sporit pe securitatea vehiculelor autonome și pe utilizarea antenelor purtabile în aplicații biomedicale. În contextul operei editorilor, acest volum continuă direcția stabilită în Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences, rafinând abordările despre inteligența computațională și big data prin prisma celor mai recente dezvoltări empirice discutate la conferința ICDSA 2023. Observăm o tranziție clară către soluții hibride, unde algoritmii genetici și logica fuzzy sunt integrați în sisteme de cloud computing pentru analiza resurselor predictive, oferind o perspectivă tehnică riguroasă asupra modului în care știința datelor rezolvă probleme de infrastructură contemporană.

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Specificații

ISBN-13: 9789819978168
ISBN-10: 9819978165
Pagini: 620
Ilustrații: XX, 597 p. 294 illus., 251 illus. in color.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 1.04 kg
Ediția:1st ed. 2024
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această lucrare cercetătorilor și studenților de la facultățile de Automatică și Calculatoare care doresc să exploreze aplicații reale ale Deep Learning și Blockchain. Cititorul câștigă acces la metodologii testate pentru securitatea IoT și procesarea imaginilor medicale, oferind un avantaj competitiv în înțelegerea tehnologiilor emergente care vor defini următorul deceniu în inginerie și analiza datelor.

Despre autor

Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi și Mukesh Saraswat sunt cercetători și profesori cu o vastă experiență în domeniul inteligenței computaționale și al rețelelor de comunicare. Satyasai Jagannath Nanda și Rajendra Prasad Yadav activează în cadrul Malaviya National Institute of Technology Jaipur, fiind recunoscuți pentru organizarea unor conferințe internaționale de prestigiu precum ICDSA și PCCDS. Expertiza lor combinată acoperă un spectru larg, de la algoritmi de optimizare și procesare de semnal, până la strategii avansate de data mining, contribuind constant la literatura de specialitate prin editarea volumelor din seria Lecture Notes in Networks and Systems publicată de Springer.

Descriere scurtă

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Cuprins

PV Array System Stimulation Affected By Variability in Temperature & Location.- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis .- A Survey of Decentralized Digital Voting System using Blockchain Technology.- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models.- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance.- Forest Fire Detection and Prediction using HSV and MLP.- An Insight into recent advances in the Intelligent Controller Methods.- Some Observations on Social Media Mining tools for Health Applications.- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review.- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8.- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection.- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study.- Performance Analysis of InceptionV3, VGG16, Resnet50    models for crevices recognition on surfaces.- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos.- Instant Accident Detection and Emergency Alert System.- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition.- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures.- Deep Learning Based Approach for Plant Disease Classification.- Prediction of liver disease using Machine Learning Algorithms.- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning.- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection.- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network.- Malarıa Parasıte Detectıon Usıng Deep Neural Networks.- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning .- Plant Disease Detection on Edge Devices.-Analyze the Quality of Wine based on Machine Learning Approach.- Safeguarding financial transaction with Cryptocurrency.- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle.- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network.- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques.- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops.- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model.- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection.- Urdu Sentiment Analysis: A Review.- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) .- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network.- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning.- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders.- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis.- Stock Price Prediction using Sentiment Analysis on Financial News.- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs.- Adopting Blockchain Technology for Smart Farming and Food Security.

Notă biografică

Dr. Satyasai Jagannath Nanda is an assistant professor at the Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, since June 2013. Prior to joining MNIT Jaipur, he has received the Ph.D. degree from School of Electrical Sciences, IIT Bhubaneswar, and M.Tech. degree from the Department of Electronics and Communication Engg., NIT Rourkela. He received the B.E. degree in Electronics and Telecommunication Engineering from Institute of Technical Education and Research (ITER), Bhubaneswar, in the year 2006.  He was the recipient of Canadian Research Fellowship—GSEP, from the Department of Foreign Affairs and Intern. Trade (DFAIT), Government of Canada, for the year 2009-10. He was awarded Best Ph.D. Thesis Award at SocPros 2015 by IIT Roorkee.  He received the best research paper awards at ODICON-2023 at SOA University Bhubaneswar, SocPros-2020 at IIT Indore, IC3-2018 at SMIT Sikkim, SocPros-2017 at IITBhubaneswar, IEEE UPCON-2016 at IIT BHU, and Springer OWT-2017 at MNIT. He is the recipient of prestigious IEI Young Engineers Award by Institution of Engineers, Government of India, in the field of Electronics and Telecommunication Engineering for the year 2018-19.
Prof. Rajendra Prasad Yadav is currently working as a professor-HAG at the Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, Rajasthan, India. He has more than four decades of teaching and research experience. He was instrumental in starting new B.Tech. and M.Tech. courses and formulating Ph.D. Ordinances for starting research work in Rajasthan Technical University (RTU), Kota, and other affiliated engg. colleges as the vice chancellor of the University.  He has served as the HOD of Electronics and Comm. Engg., the president Sports and Library, the hostel warden, and the dean student affairs at MNIT Jaipur. At present he is also the Chief Vigilance Officer of MNIT Jaipur since 2015. Prof. Yadav received the Ph.D. degree from MREC Jaipur and M.Tech. degree from IIT Delhi. Under his supervision, 15 Ph.D. students have received Ph.D. degree, and 7 students are working for their Ph.D. degree. Forty M.Tech. students have carried out their dissertation work under his guidance.
Amir H. Gandomi is a professor of Data Science and an ARC Discovery Early Career Research Award (DECRA) fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an assistant professor at the School of Business, Stevens Institute of Technology, USA, and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over two hundred journal papers and seven books which collectively have been cited more than 17,000 times (H-index = 60). He has been named as one of the most influential scientific mind and a highly cited researcher (top 0.1%) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as an associate editor, an editor, and a guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ.
Dr. Mukesh Saraswat is an associate professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 20 years of teaching and research experience. He has guided 03 Ph.D. students, more than 70 M.Tech. and B.Tech. dissertations, and presently guiding 04 Ph.D. students. He has published more than 75 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was part of successfully completed DRDE-funded project, SERB-DST (New Delhi)-funded project, and CRS-funded project. He has been an active member of many organizing committees of various conferences and workshops. He is also a guest editor of the Array, Journal of Swarm Intelligence, and Journal of Intelligent Engineering Informatics. He is an active member of IEEE, ACM, and CSI Professional Bodies.

Caracteristici

Presents the latest innovations and developments in data science and applications Provides original works presented at ICDSA 2023 held in Jaipur, India Serves as a reference for researchers and practitioners in academia and industry