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Advances in Computational Intelligence and Informatics de Raghavendra Rao Chillarige

Advances in Computational Intelligence and Informatics

Editat de Raghavendra Rao Chillarige, Salvatore Distefano, Sandeep Singh Rawat
en Limba Engleză Paperback – 23 aug 2024

Prin parcurgerea acestui volum, cititorul va putea implementa soluții avansate de inteligență artificială în domenii critice, de la diagnosticarea medicală asistată de IOT până la optimizarea rutării în rețele definite prin software (SDN). Notăm cu interes rigoarea cu care cercetătorii de la ICACII 2019 au abordat integrarea algoritmilor de învățare automată în infrastructuri complexe. Ne-a atras atenția în mod deosebit diversitatea aplicațiilor practice: volumul nu se limitează la teorie, ci oferă metodologii pentru segmentarea tumorilor folosind spațiul de culoare HSV sau utilizarea auto-encoderelor pentru reducerea dimensionalității în imagini hiperspectrale.

Considerăm că această lucrare reprezintă un punct de inflexiune în literatura tehnică actuală. Dacă Computational Intelligence and Machine Learning de Jyotsna Kumar Mandal v-a oferit cadrul teoretic fundamental, această carte oferă instrumentele practice și studiile de caz necesare pentru validarea acestor concepte în medii de producție. Structura este una progresivă, debutând cu aplicații de procesare a imaginii și diagnosticare, continuând cu securitatea în cloud computing prin algoritmi AES asimetrici și finalizând cu analize fine de capital social prin tehnici triadice. Această organizare reflectă o viziune holistică asupra informaticii moderne, unde inteligența computațională devine liantul dintre hardware și analiză socială.

Poziționată în contextul operei editorilor, în special în siajul tematic deschis de Multi-disciplinary Trends in Artificial Intelligence, lucrarea de față rafinează abordarea multidisciplinară. În loc să se concentreze doar pe tendințe generale, Advances in Computational Intelligence and Informatics plonjează în specificul tehnic al implementării, fiind o resursă indispensabilă pentru inginerii care caută rezultate reproductibile în sisteme de înaltă performanță și tehnologii emergente.

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Specificații

ISBN-13: 9789819747269
ISBN-10: 9819747260
Pagini: 460
Ilustrații: XX, 480 p. 140 illus., 90 illus. in color.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.78 kg
Ediția:2024
Editura: Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Această carte este esențială pentru inginerii și cercetătorii care doresc să treacă de la algoritmi teoretici la implementări funcționale în domenii precum medicina digitală, securitatea cloud și procesarea video în timp real. Cititorul câștigă acces la metodologii validate de cercetare și arhitecturi inovatoare, oferind un avantaj competitiv în dezvoltarea de sisteme inteligente complexe și scalabile.

Despre autor

Raghavendra Rao Chillarige, Salvatore Distefano și Sandeep Singh Rawat sunt figuri proeminente în comunitatea academică internațională, specializați în sisteme distribuite și inteligență artificială. Salvatore Distefano, în special, are o bogată experiență editorială în cadrul Springer, contribuind anterior la lucrări de referință precum Multi-disciplinary Trends in Artificial Intelligence. Expertiza lor combinată asigură o selecție riguroasă a lucrărilor prezentate în cadrul conferinței ICACII, garantând relevanța tehnică și inovația metodologică a fiecărui capitol inclus în acest volum.

Descriere scurtă

The book is a collection of best selected research papers presented at 2nd International Conference on Advances in Computational Intelligence and Informatics (ICACII 2023) organized by Anurag University, Hyderabad, India, during 22–23 December 2023. It includes innovative ideas and new research findings in the field of Computational Intelligence and Informatics which is useful for researchers, scientists, technocrats, academicians, and engineers. The areas included are high performance system, data science and analytics, computational intelligence and expert systems, cloud computing, computer network, and emerging technologies.

Notă biografică

Dr. C Raghavendra Rao is Senior Professor at School of Computer & Information Sciences (SCIS) at University of Hyderabad. He obtained his Bachelor of Science from Andhra University, his master’s and doctorate degrees from Osmania University, Hyderabad. He has received Fellow of IETE and APAS and elected as Senior Member of IRSS. His research areas include operations research, stochastic processes, computer graphic, artificial intelligence, and rough computing. Dr. C R Rao authored and co-authored more than 180 scientific papers and contributions in international journals, conferences, and wrote four books. He has supervised 15 Ph.D. scholars and many master’s students. He has organized many workshops and conferences. He was in the technical program committee members for many conferences including CIT2009, AMLTA2012, and MIWAI 2017. He is Professional Member of ACM, Society for Development of Statistics, Indian Society for Probability and Statistics, Indian Mathematical Society, IETE, and many more.

Dr. Salvatore Distefano is Associate Professor at University of Messina, Italy; Fellow Professor at Kazan Federal University, Russia; and Head of the Social and Urban Computing Group and of the Cisco Innovation Center in Kazan. In 2001 he got the master’s degree in Computer Engineering from the University of Catania, and then, in 2006, he received the Ph.D. degree in Computer Science and Engineering from University of Messina. Dr. Salvatore authored and co-authored more than 200 scientific papers and contributions in international journals, conferences, and books. He took part in several national and international projects, such as Reservoir, Vision (EU FP7), SMSCOM (EU FP7 ERC Advanced Grant), Beacon, and IoT-Open.EU (EU H2020). He is in the editorial boards of IEEE Transactions on Dependable and Secure Computing, International Journal of Performability Engineering, Journal of Cloud Computing, International Journal of Engineering and Industries, International Journal of Big Data, International Journal of Computer Science & Information Technology Applications, and International Journal of Distributed Sensor Networks.

Prof. Sandeep Singh Rawat is Experienced Researcher and Consultant with proven leadership abilities in areas of Knowledge Extraction, Information System and Machine Learning, Database, Information Retrieval, Data Warehousing, Big Data, and Groups Decision Support Systems. Dr. Sandeep obtained his Bachelor of Engineering in Computer Science from National Institute of Technology, Surat (formerly REC, Surat), his master’s from Indian Institute of Technology, Roorkee, and doctorate degree from University College of Engineering, Osmania University, Hyderabad. Dr. Sandeep was Research Scholar and Visiting Professor at Iowa State University, USA (2016 to 2018).
Dr. Sandeep actively participates in multiple committees at IGNOU, including those overseeing online course coordination, innovation promotion, and cybersecurity planning. He also contributes to the School Board at various IGNOU schools and serves as Board of Studies Member at UOU, Haldwani, Uttrakhand. Dr. Sandeep is Senior Member of IEEE and Life Members of Indian Society for Technical Education & Computer Society India and served as Co-editors of the prestigious Springer Advances in Intelligent Systems and Computing (AISC)and Lecture Notes in Networks and Systems (LNNS) series. He is Reviewer and Technical Committee Member for many national/international conferences. He has published/presented high-quality research papers in international, national journals and proceedings of international conferences.

Caracteristici

Presents research papers written by active researchers in the areas of computational intelligence Provides results of ICACII 2023 organized by Anurag University, Hyderabad, India Serves as a reference for researchers and practitioners in academia and industry

Cuprins

Extraction of Tumor Chunk Using Image Segmentation – Thresholding and HSV Color Space.- Predictive & Interactive IOT Diagnosis System with AI and ML Tools: Review.- Multi Agent Data Mining using Asymmetric AES Algorithm in Cloud Computing.- A Novel Architecture for a Two-Pass Opinion Mining Classifier.- QoS based Routing Algorithm for Software Defined Network using Ant Colony optimization.- An Integrated AdaBoost Algorithm for Down Syndrome Disease Recognition.- A Comprehensive Healthcare Model for a Smart Left Ventricle Assisting Device.- Moving Hand Segmentation from H.264 Compressed Sign Language Videos.- CNN-Based Real-time Indian Sign Language Recognition System.- Sarcasm Detection using Multiple Occurrences of Emojis and Hashtagged Words.- Multiclass Multiple Object Tracking.- Dimensionality Reduction in Hyperspectral Images using Auto-encoders.- Improved Registration of Infrared Images using EOH Descriptor.- Fine Grained Analysis of Bridging Social Capital with Triadic Analysisin a Co-Author Network.- Accumulation of Methodologies for Intensifying the Lifetime of the Wireless Sensor Networks.- A Multifactor Biometric Based User Authentication Protocol for IOT Networks.- Leveraging Topic Models with Novel Word Embeddings for Effective Document Clustering.- Survey on Access Control Mechanisms in Cloud Environments.- Sales Analysis and Performance of Super Store using Qlik Geo Analytics.- Assessment of Crop Rotation Using Multi Polarized Sentinel-1 Temporal SAR Data Over Parts of Kumaun Region of Uttarakhand.- Spatiotemporal and Delay Dynamics on a Prey Predator Fishery Model.- An Efficient Intrusion Detection System with Convolutional Neural Network.- Supervised Machine Learning Approach for Identification of Malicious URLs.- A Unified Framework for Stress Forecasting Using Machine Learning Algorithms.- Investigation and Analysis of Crop Maintenance Using IoT & KNN Techniques.- Enhancement of Anisotropic Diffusion Filtered Cardiac MR Images using Contrast based Fuzzy Approach.- Social Media Ecosystem: Review on Social Media Profile’s Security and Introduce a New Approach.- An Investigation on Managing Patient Flow at Hospital Emergency Care Unit using Tree-Based Data Mining Techniques.- A Path Based Model for Link Prediction in Location Based Social Networks.- Predicting the Cost of Pre-owned Cars using Linear Regression Mechanisms in Machine Learning.- Bio-Inspired High Utility Item Framework based Particle Swarm Optimization Tree Algorithms for Mining High Utility Itemset.- On Atom-Bond Connectivity Invariant of Graphs.- Theoretical Design and Experimental Study for Urban Data Management using Energy-Saved IoT Big Data.- An Effective Approach for Security Attacks Based on Machine Learning Algorithms.- Class Based Associative Classification using Super Subset to Predict the By-Diseases in Thyroid Disorders.- Recommendation of Diet using Hybrid Collaborative Filtering Learning Methods.- Classification of Natural Images Using Machine Learning Classifiers on Graph Based Approaches.- Convolutional Neural Network Based Diagnosis of Alzheimer’s Disease using Time Frequency features.- Humanly Evolving Robotics with Angular Sensor Control (HERASC).- Post-occupancy Evaluation of Building Facilities in a University Community using an Electronic Platform.- Internet of Things: Demystifying Smart Cities & Communities.- Comparative Analysis of Optimizations of Antecedents and Consequents of Fuzzy Inference System Rules Lists using Genetic Algorithm Operations.- Uses and Impact of Social Media on Work Performance of Low Literate People.- A Comparative Analysis on Rumor Microblogs Detection from Social Network Sites.- Smart Sprint Methodology for Financial Management System Development.- A Novel Infrared Image Segmentation Method for Identifying the Faults in the Systems.