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Soft Computing and Signal Processing

Editat de V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, K. T. V. Reddy
en Limba Engleză Hardback – 27 iun 2023

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: 9789811986680
ISBN-10: 9811986681
Pagini: 696
Ilustrații: XVIII, 677 p. 401 illus., 323 illus. in color.
Dimensiuni: 160 x 241 x 41 mm
Greutate: 1.32 kg
Ediția:2023
Editura: Springer
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 Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). 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

Chapter 1. Microservice Architecture Observability Tool Analysis.- Chapter 2. Decentralized payment architecture for e-commerce and utility transactions with Government verified identities.- Chapter 3. Detection of Phishing Website using Intelligent Machine Learning Classifiers.- Chapter 4. Bidirectional Gated Recurrent Unit (BiGRU) based Bitcoin Price Prediction by News Sentiment Analysis.- Chapter 5. How AI Algorithms are being used in Applications.- Chapter 6. A Framework for Identifying Theft Detection using Multiple-instance Learning.- Chapter 7. An Efficient Reversible Data Hiding Based on Prediction Error Expansion.- Chapter 8. Deriving Insights from COVID-19.- Chapter 9. Smoke Detection in Forest Using Deep Learning.- Chapter 10. Pneumothorax Segmentation using Feature Pyramid Network and MobileNet Encoder through Radiography Images.- Chapter 11. Visual Learning with Dynamic Recall.- Chapter 12. Machine learning for drug discovery using ag-glomerative hierarchical clustering.-Chapter 13. Automated Photomontage Generation with Neural Style Transfer.- Chapter 14. Machine Learning Model Development Using Computational Neurology.- Chapter 15. Graph Theory based user profile extraction and community detection in Linkedin- A study. etc.

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 25 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 180 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 isProfessor in the Department of Computer Science & Engineering in JNTU Hyderabad, he 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 23 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 to 2004, 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.
KTV Reddy, an Alumni of IIT Bombay, is presently working as Dean of the Faculty of Engineering and Technology, Datta Meghe institute of Medical science (Deemed to be University), Sawangi (Meghe), Wardha, Maharashtra, India. He has been teaching for 30 years. He was the presiding officer for the JEE, GATE, NEET, and other all-India exams. He has served as an advisor, general chair, and convener at over 200 national and international conferences and workshops. He gave over 150 expert talks. He has published more than 150 publications. He is an editor for the Journal of Signal and Image Processing (Tailor and Francis) and a reviewer for IEEE journals and conferences. For the years 2017-201, he served as president of the Institution of Electronics and Telecommunications Engineers (IETE) in New Delhi, India.


Caracteristici

Presents research works in the field of soft computing and signal processing Gather the outcomes of the ICSCSP 2022, held in Hyderabad, India Offers a reference guide for researchers and practitioners in academia and industry