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Proceedings of Third Doctoral Symposium on Computational Intelligence: DoSCI 2022 de Ashish Khanna

Proceedings of Third Doctoral Symposium on Computational Intelligence: DoSCI 2022: Lecture Notes in Networks and Systems, cartea 479

Editat de Ashish Khanna, Deepak Gupta, Vineet Kansal, Giancarlo Fortino, Aboul Ella Hassanien
en Limba Engleză Paperback – 10 noi 2022

Observăm în Proceedings of Third Doctoral Symposium on Computational Intelligence o abordare riguroasă a cercetării aplicate, exemplificată prin proiecte precum recunoașterea bolilor plantelor folosind histograme de culoare, clustering K-Means și rețele neuronale de tip forward-propagation. Această lucrare nu se limitează la teorie, ci demonstrează cum algoritmii de inteligență computațională pot fi implementați în scenarii de diagnostic agricol sau în extragerea hibridă a evenimentelor adverse prin modelul TransCRF.

Ne-a atras atenția structura volumului, care este organizată pentru a ghida cititorul de la procesarea limbajului natural și analiza sentimentelor de pe platformele sociale, până la arhitecturi complexe de securitate bazate pe blockchain pentru sistemele IoT. Pe linia practică a volumului Computational Intelligence de Anupam Shukla, dar cu un focus specific pe cercetările doctorale de ultimă oră din India, acest volum oferă o perspectivă tehnică asupra sistemelor DWDM RoF pentru comunicațiile 5G și a integrării semantice a datelor clinice.

Continuând tradiția începută cu Proceedings of Second Doctoral Symposium on Computational Intelligence, editorul Ashish Khanna și echipa sa mențin standardul ridicat de documentare a algoritmilor evolutivi și a logicii fuzzy. Față de lucrările sale anterioare, precum cele axate pe XAI în medicină, acest volum de 861 de pagini din seria Lecture Notes in Networks and Systems propune o diversificare tematică majoră, incluzând soluții pentru orașe inteligente și managementul logistic securizat. Analiza variantelor BERT și Big Bird în contextul recenziilor articolelor științifice subliniază actualitatea tehnică a materialelor selectate.

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Specificații

ISBN-13: 9789811931475
ISBN-10: 981193147X
Pagini: 861
Ilustrații: XXXIV, 861 p. 430 illus., 328 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.47 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm acest volum cercetătorilor și studenților la doctorat care au nevoie de modele concrete de implementare în inteligența artificială. Cititorul câștigă acces la metodologii verificate pentru utilizarea blockchain în IoT și tehnici avansate de machine learning pentru predicția ocupării clădirilor inteligente. Este o resursă tehnică esențială pentru a înțelege direcțiile actuale de dezvoltare în calculul distribuit și performant.

Despre autor

Ashish Khanna este un editor și cercetător prolific, recunoscut pentru coordonarea unor volume de referință în domeniul inteligenței computaționale. Activitatea sa editorială cuprinde serii importante precum Proceedings of Second Doctoral Symposium on Computational Intelligence și lucrări dedicate analizei datelor medicale prin inteligență artificială explicabilă (XAI). Prin colaborările sale internaționale, inclusiv în cadrul conferințelor ICICC și ICDAM, Khanna a contribuit la consolidarea unei comunități academice globale concentrate pe inovație în IT, fiind un punct de referință pentru literatura tehnică publicată sub egida Springer.

Descriere scurtă

This book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.

Cuprins

TransCRF - Hybrid Approach for Adverse Event Extraction.- Process of Recognition of Plant Diseases by Using Hue Histogram, K-Means Clustering and Forward-Propagation Deep Neural Networks.- Analysis of Variants of BERT and Big Bird on Question Answering Datasets in the Context of Scientific Research Article Reviews.- Twitter Opinion Mining on COVID-19 Vaccinations by Machine Learning Presence.- Blockchain-Based Efficient and Secured Framework for Logistics Management.- Blockchain-Based Framework to Handle Security & Privacy for IoT System.- Knowledge Management using Blockchain Technology for Digital Resources.- Blockchain Mechanism for Resolving Privacy Issues in a Smart City.- Design and Analysis of 50 Channel by 40 Gbps DWDM RoF System for 5G Communication Based on Fronthsul Scenario.- A Semantic Approach to Data Integration from Clinical Polystore.- Service Matter Judgement Prediction using Machine Learning.- Predicting Smart Building Occupancy using Machine Learning.- Formal Specification of Dynamic Load Based Coordinator Selection Algorithm with Recovery in Distributed Systems.

Notă biografică

Dr. Ashish Khanna [M’19, SM’20] has received his Ph.D. degree from National Institute of Technology, Kurukshetra in March 2017. He has completed his PDF from Internet of Things Lab at Inatel, Brazil. He is part of AD Scientific World ranking report as a leading researcher. He has around 170 accepted and published research papers and book chapters in reputed SCI, Scopus journals, conferences and reputed book series including 90 papers accepted and published in SCI indexed Journals and Cumulative Impact Factor of above 350. He also has 10 published Patents to his credit. Additionally, He has co-authored, edited and currently editing around 50 books. He has also served as a keynote speaker, resource person and given several invited talks at national and international events. He has worked as Guest Editor in several reputed journals and served as Series Editor in publishing houses like De Gruyter (Germany), Elsevier and CRC Press. He is also acting as a consulting editor for Elsevier. His research interests include Distributed Systems and its variants, AI and many more. He is the recipient of the 2021 IEEE System Council Best Paper Award. He is serving as convener/ General chair in some springer and other international conferences series like ICICC, ICDAM, DoSCI, ICCCN, ICIIP and many more. He has played a key role in promoting and initiating several startups and is also a startup consultant. He organized ``WHERE STARTUP MEETS INVESTOR '' in collaboration with Universal Inovator and SIIF SSCBS, Delhi University under the banner of ICICC-2020, an international conference. He also organized conference on Patents (ICIIP) in association with UI and IGDTUW Delhi. His Google scholar index is around 4500 with h index of around 40. He is also founder of Bhavya Publication house and Universal Inovator an Indian Research Lab.
Dr. Deepak Gupta received a B.Tech. degree in 2006 from the Guru Gobind Singh Indraprastha University, Delhi, India. He received M.E. degree in 2010 from Delhi Technological University, India and Ph. D. degree in 2017 from Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow, India. He has completed his Post-Doc from National Institute of Telecommunications (Inatel), Brazil, in 2018. He is the recipient of 2021 IEEE System Council Best Paper Award and Highly Cited Paper Award in Applied Sciences Journal. He have been featured in the list of top 2% scientist/researcher database in the world consecutively for the second time [Table-S7-singleyr-2019, Table_T1_2020]. He is Treasurer of the IEEE ComSoc-Delhi Executive Committee. He has co-authored 189 journal articles including 150 SCI papers and 51 conference articles. He has authored/edited 59 books, published by IEEE-Wiley, Elsevier, Springer, Wiley, CRC Press, DeGruyter and Katsons. He has filed four Indian patents. He is convener of ICICC, ICDAM & DoSCI Springer conferences series. Currently, he is Editor-in-Chief of ICSES Interdisciplinary Transactions on Cloud Computing, IoT and Big Data and Associate Editor of Expert Systems (Wiley), and Intelligent Decision Technologies (IOS Press). He is also working toward promoting startups and also serving as a startup consultant. He is also a series editor of “Elsevier Biomedical Engineering” at Academic Press, Elsevier, “Intelligent Biomedical Data Analysis” at De Gruyter, Germany, “Explainable AI (XAI) for Engineering Applications” at CRC Press and "Computational Intelligence for Data Analysis" (Bentham Science). He is appointed as Consulting Editor at Elsevier.
Prof. Vineet Kansal has graduated in Computer Engineering from the GB Pant University of Agriculture and Technology, Pantnagar, and earned his MTech and PhD from IIT Delhi. He has been in academics for around 30 years. Currently, Dr Kansal is Professor at Institute of Engineering Technology, Lucknow. He has been Dean (UGSE) & Pro Vice Chancellor at the Dr. APJ Abdul Kalam Technical University, Lucknow. His area of research interest includes data analytics, machine learning, artificial intelligence, networking, cloud computing, big data analytics and optimization.
Giancarlo Fortino (IEEE Fellow 22) is Full Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a PhD in Computer Engineering from Unical in 2000. He is also distinguished professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST (China), senior research fellow at the Italian ICAR-CNR Institute, CAS PIFI visiting scientist at SIAT – Shenzhen, and Distinguished Lecturer for IEEE Sensors Council. At Unical, he is the Rector’s delegate to Int’l relations, the chair of the PhD School in ICT, the director of the Postgraduate Master course in INTER-IoT, and the director of the SPEME lab as well as co-chair of Joint labs on IoT established between Unical and WUT, SMU and HZAU Chinese universities, respectively. Fortino is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is Highly Cited Researcher 2020 and 2021 in Computer Science by Clarivate. Currently he has 19 highly cited papers in WoS, and h-index=65 with 15600+ citations in Google Scholar. His research interests include wearable computing systems, e-Health, Internet of Things, and agent-based computing. He is author of 550+ papers in int’l journals, conferences and books. He is (founding) series editor of IEEE Press Book Series on Human-Machine Systems and EiC of Springer Internet of Things series and AE of premier int'l journals such as IEEE TAFFC-CS, IEEE THMS, IEEE T-AI, IEEE IoTJ, IEEE SJ, IEEE JBHI, IEEE SMCM, IEEE OJEMB, IEEE OJCS, Information Fusion, JNCA, EAAI, etc. He chaired many int’l workshops and conferences (120+), was involved in a huge number of int’l conferences/workshops (500+) as IPC member, is/was guest-editor of many special issues (75+). He is cofounder and CEO of SenSysCal S.r.l., a Unical spinoff focused on innovative IoT systems, and recently cofounder and vice-CEO of the spin-off Bigtech S.r.l, focused on big data, AI and IoT technologies. Fortino is currently member of the IEEE SMCS BoG and of the IEEE Press BoG, and chair of the IEEE SMCS Italian Chapter.
Prof. Aboul Ella Hassanein is Founder and Head of the Egyptian Scientific Research Group (SRGE) and Professor of Information Technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien is an ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Prof. Hassanien won several awards, including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the scientific—University Award (Cairo University, 2013). Also, he was honored in Egypt as the best researcher at Cairo University in 2013.  He was also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the State Award for excellence in engineering sciences 2015. He was awarded the medal of sciences and arts of the first class by the President of the Arab Republic of Egypt, 2017.

Caracteristici

Presents research works in the field of computational intelligence Provides original works presented at DoSCI 2022 held in Lucknow, India Serves as a reference for researchers and practitioners in academia and industry