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Soft Computing: Theories and Applications: Proceedings of SoCTA 2020, Volume 2 de Tarun K. Sharma

Soft Computing: Theories and Applications: Proceedings of SoCTA 2020, Volume 2: Advances in Intelligent Systems and Computing, cartea 1381

Editat de Tarun K. Sharma, Chang Wook Ahn, Om Prakash Verma, Bijaya Ketan Panigrahi
en Limba Engleză Paperback – 27 iun 2021

Actualizarea adusă de Soft Computing: Theories and Applications rezidă în adaptarea algoritmilor de calcul soft la provocările globale emergente în 2020, incluzând soluții digitale pentru monitorizarea sănătății și optimizarea sistemelor complexe în regim online. În acest al doilea volum al conferinței SoCTA 2020, găsim o tranziție clară de la modele teoretice abstracte către implementări pragmatice în domenii critice. Putem afirma că lucrarea servește drept punte între cercetarea fundamentală și ingineria aplicată, explorând modul în care inteligența computațională poate gestiona incertitudinea în datele reale.

Complementar lui Machine Intelligence and Soft Computing, care pune accent pe infrastructura de cloud și logică fuzzy, volumul de față acoperă zona specifică a modelării matematice avansate și a algoritmilor bio-inspirați, precum optimizarea bazată pe comportamentul pinguinilor imperiali pentru rețele de senzori. Structura este riguros organizată pe studii de caz: de la modele SIR cu creștere logistică întârziată, până la sisteme de recomandare pentru detectarea preliminară a COVID-19. Această progresie indică o acoperire vastă, pornind de la analiza structurală a materialelor și ajungând la predicția online a creditelor bancare folosind rețele neuronale de tip LSTM.

În contextul operei editorilor, acest titlu continuă direcția stabilită în lucrări precum Recent Advances in Mechanical Engineering sau Advances in Mechanical Engineering. Dacă volumele anterioare se concentrau pe designul și dezvoltarea sistemelor mecanice, Soft Computing: Theories and Applications extinde aceste metodologii de calcul către inteligența artificială și securitatea datelor, demonstrând versatilitatea tehnicilor de optimizare în diverse ramuri ale tehnologiei moderne.

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Specificații

ISBN-13: 9789811616952
ISBN-10: 9811616957
Pagini: 587
Ilustrații: XX, 587 p. 263 illus., 188 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.95 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte cercetătorilor și inginerilor care caută soluții de optimizare pentru probleme cu variabile multiple. Cititorul câștigă acces la metodologii recente de învățare automată și algoritmi metaheuristici aplicați în finanțe, medicină și telecomunicații. Este o resursă tehnică esențială pentru a înțelege cum pot fi utilizate rețelele LSTM și sistemele de filtrare colaborativă în contextul procesării datelor secvențiale și al diagnosticului preliminar.

Despre autor

Coordonat de o echipă de experți condusă de Tarun K. Sharma și Chang Wook Ahn, acest volum reflectă expertiza colectivă în domeniul sistemelor inteligente. Editorii au o experiență vastă în organizarea conferințelor internaționale de prestigiu și în publicarea cercetărilor de frontieră în inginerie și informatică. Tarun K. Sharma este recunoscut pentru contribuțiile sale în algoritmi de optimizare, în timp ce co-editorii aduc perspective complementare din ingineria sistemelor și managementul energiei, asigurând o selecție riguroasă a lucrărilor științifice publicate sub egida Springer.

Descriere scurtă

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

Cuprins

A study on the Effect of Optimal Control Strategies: An SIR Model with Delayed Logistic Growth.- Emperor Penguin Optimized Clustering for Improved Multilevel Hierarchical Routing in Wireless Sensor Networks.- A Collaborative Filtering based Recommendation System for Preliminary Detection of COVID-19.- Frequencies of nonuniform triangular plate with two-dimensional parabolic temperature.- Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs.

Notă biografică

Dr. Tarun Kumar Sharma holds Ph.D. in Soft Computing in 2013 from IIT Roorkee. Since June 2020, he is associated with Shobhit University, Gangoh, Saharanpur as a Professor  & Head of CSE and Dean – School of Engineering & Technology. Earlier he worked with Amity University Rajasthan as an Associate Professor & Head – Department of Computer Science & Engineering / IT as well as Alternate Director – Outcome. He has supervised 2 Ph.D., 7 M.Tech Dissertations, several MCA and B.Tech Projects. He has over 80 research publications in his credit. He has been to Amity Institute of Higher Education Mauritius on deputation. He has availed grants from Microsoft Research India, CSIR, New Delhi and DST New Delhi to visit Australia; Singapore and Malaysia respectively. He is a founding member of International Conference on Soft Computing: Theories and Applications (SoCTA Series) and Congress on Advances in Materials Science and Engineering (CAMSE). He hasedited 5 volumes of Conference Proceedings published by AISC series of Springer (SCOPUS) Publication and two edited books with Asset Analytics, Springer.

Prof. Chang Wook Ahn received the Ph.D. degree from the Department of Information and Communications, GIST, in 2005. From 2005 to 2007, he was with the Samsung Advanced Institute of Technology, South Korea. From 2007 to 2008, he was a Research Professor at GIST. From 2008 to 2016, he was an Assistant/Associate Professor with the Department of Computer Engineering, Sungkyunkwan University (SKKU), South Korea. He is currently a Director of MEMI (Meta-Evolutionary Machine Intelligence) Lab and a Professor with the School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), South Korea. His research interests include genetic algorithms/programming, multi-objective optimization, evolutionary neural networks, and quantum machine learning. He has been Guest Edited various thematic issues in Journal of repute.

Dr. Om Prakash Verma is presently associated with Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India since January 2018 as an Assistant Professor in the Department of Instrumentation and Control Engineering. He has almost 11 years of teaching experience. He did his Ph.D. from IIT Roorkee, M.Tech. from Dr. B R Ambedkar NIT Jalandhar and B.E. from Dr. B R Ambedkar University Agra. He is presently working on ISRO Sponsored Project as a PI. He has edited a book on Soft Computing: Theories and Applications and has been a potential reviewer of several International Journals of high repute. He has published more than 30 research papers in SCI/Scopus/ESI indexed Journals. He has published recently published a paper in Renewable & Sustainable Energy Reviews, (IF: 12.110). He has guided 4 M.Tech Students and supervising 6 PhD Students.

Prof. Bijaya Ketan Panigrahi is a Professor in the Department of Electrical Engineering, Indian Institute of Technology Delhi. His research interests include the security of cyber physical systems, digital signal processing, and soft computing applications to power systems. Prof. Panigrahi received a Ph.D. in electrical engineering. He is an associate editor for IEEE Systems Journal and a Senior Member of the IEEE. Prof. Panigrahi was elected Fellow of INAE in 2015. He is in teaching and research profession since 1990. He has published more than 500 Journals Articles in Journals of high repute. He has edited several conference proceedings with publishers of repute like Springer. He has file more than 6 patents. As per the Google Scholar his H-Index is 55 with more than 12650 Citations and CrossRef is above 7550.  His research interest includes Power System Planning, Operation and Control, Machine Intelligence and Evolutionary Computing.

Caracteristici

Provides insights into soft computing and inspires researchers to work in the field of soft computing Results of SoCTA 2020 held virtually in December 2020 Serves as a reference for researchers and practitioners in academia and industry