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Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 1 de V. Sivakumar Reddy

Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 1: Advances in Intelligent Systems and Computing, cartea 1325

Editat de V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, K. T. V. Reddy
en Limba Engleză Paperback – 21 mai 2021

Descoperim aici o resursă tehnică densă, fundamentată pe lucrările prezentate în cadrul celei de-a doua ediții a Conferinței Internaționale de Soft Computing și Procesare de Semnal (ICSCSP 2019). Volumul pune la dispoziția cercetătorilor resurse metodologice și studii experimentale ce vizează implementarea practică a algoritmilor de calcul avansați. Suntem de părere că valoarea acestui titlu rezidă în diversitatea aplicațiilor prezentate, de la utilizarea criptografiei bazate pe ADN pentru securizarea clusterelor Hadoop, până la analiza tiparelor de mers cu ajutorul rețelelor neuronale convoluționale pentru detectarea timpurie a hemiplegiei.

Structura volumului reflectă o progresie logică de la fundamentele teoretice ale seturilor brute (rough sets) și logicii fuzzy, către implementări complexe în domenii precum Internetul Lucrurilor (IoT) și securitatea rețelelor SDN. Putem afirma că abordarea editorilor este una pragmatică, orientată spre rezolvarea problemelor de inginerie în timp real. Comparativ cu Soft Computing for Security Applications de G. Ranganathan, care se concentrează predilect pe protocoale de securitate, lucrarea de față are un spectru mai larg, integrând procesarea de semnal în contextul biomecanicii și al analizei semantice.

Această publicație se înscrie în linia preocupărilor academice ale editorilor, continuând direcțiile explorate în Intelligent Systems and Sustainable Computing. Dacă lucrarea anterioară se axa pe sustenabilitatea sistemelor inteligente, volumul actual aprofundează intersecția dintre calculul „moale” și procesarea digitală, oferind o perspectivă tehnică asupra modului în care învățarea automată poate optimiza diagnosticul clinic sau detecția fraudelor financiare prin interpolare și modele statistice PSO.

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Specificații

ISBN-13: 9789813369115
ISBN-10: 9813369116
Pagini: 729
Ilustrații: XXI, 729 p. 403 illus., 263 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.03 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

Pentru inginerii de sistem și cercetătorii în inteligență artificială, acest volum reprezintă un instrument de lucru esențial. Veți câștiga acces la metodologii verificate pentru procesarea datelor masive și securizarea infrastructurilor IT. Este o recomandare certă pentru cei care caută să implementeze soluții de soft computing în medicină, finanțe sau securitate cibernetică, oferind un echilibru între rigoarea matematică și aplicabilitatea industrială.

Despre autor

V. Sivakumar Reddy, alături de co-editorii V. Kamakshi Prasad, Jiacun Wang și K. T. V. Reddy, reprezintă o echipă de experți recunoscuți în domeniul informaticii și ingineriei sistemelor. Aceștia sunt implicați activ în organizarea conferințelor internaționale de prestigiu, fiind responsabili pentru selecția și coordonarea unor lucrări de referință publicate sub egida Springer. Expertiza lor colectivă acoperă arii vaste, de la sustenabilitatea sistemelor inteligente la arhitecturi complexe de calcul, contribuind constant la literatura de specialitate prin volume care sintetizează cele mai noi inovații din centrele de cercetare globale.

Descriere scurtă

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Cuprins

FSBRS: Framework for Sketch-based Retrieval System of the Color Images.- Music/Non-Music Discrimination Using Convolutional Neural Networks.- Novel Machine Learning Model with Wrapper based Dimensionality Reduction for Predicting Chronic Kidney Disease Risk.- Speech Enabled Automatic Form Filling System.- Time Series Analysis using ARIMA model for Air Pollution Prediction in Hyderabad City of India.- A Systematic Approach to Handle Ancient Tamil Script using Deep Learning Techniques.

Notă biografică

V. Sivakumar Reddy is Professor at the Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, and has more than 20 years of teaching and research experience. He completed his B.E. in Electronics and Communication Engineering from S.V. University, his M.Tech. in Digital Systems at JNT University and his Ph.D. in Electronics & Communication Engineering at IIT Kharagpur. His areas of research interest include multi-media signal processing and communication protocols. He has published more than 120 papers in peer-reviewed journals and reputed conferences. He is a member of several academic bodies, such as IETE, IEEE, ISTE and CSI. He is also a reviewer for several IEEE journals. He was awarded as “Best Teacher” in three consecutive academic years with citation and cash award. He is the recipient of “India Jewel Award” for outstanding contribution to the research in the field of Engineering and Technology.

V. Kamakshi Prasad completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science & Technology at Andhra University in 1992. He has more than 21 years of teaching and research experience. His areas of research and teaching interest include speech recognition and processing, image processing, pattern recognition, ad hoc networks and computer graphics. He has published several books, chapters and research papers in peer-reviewed journals and conference proceedings. He is also an editorial board member of the International Journal of Wireless Networks and Communications and a member of several academic committees.

Jiacun Wang received a Ph.D. in Computer Engineering from Nanjing University of Science and Technology (NJUST), China, in 1991. He is currently Professor at the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to2004, he was a member of scientific staff at Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate at the School of Computer Science, Florida International University (FIU) at Miami and Associate Professor at NJUST. He has published numerous books and research papers and is Associate Editor of several international journals. He has also served as a program chair, a program co-chair, a special sessions chair and a program committee member for several international conferences. He is the secretary of the Organizing and Planning Committee of the IEEE SMC Society and has been a senior member of IEEE since 2000.

K. T. V. Reddy an Alumni of IIT Bombay, is presently working as Campus Director and Principal, Pravara Technical Education Campus, Sir Visvesvaraya Institute of Technology (SVIT) Nashik. He was Former Director at PSIT Kanpur. During his teaching career at Fr C Rodrigues Institute of Technology (FCRIT), Vashi, he cultivated, promoted and developed the Department of ET to the extent that it started being considered as one of the best institutes under the University of Mumbai. He published over 100 papers in the national and international journals and conferences, delivered over 200 invited talks and organized over 150 conferences/workshops. Dr. Reddy is a fellow member of IETE, a senior member of IEEE and a life member of ISTE, ACM and CSI. He has organized several international and national conferences/workshops.

Caracteristici

Presents recent research in the field of soft computing and signal processing Discusses the outcomes of ICSCSP 2020, held in Hyderabad, India Serves as a reference resource for researchers and practitioners in academia and industry