International Conference on Innovative Computing and Communications

Proceedings of ICICC 2023, Volume 1
Herausgegeben:Hassanien, Aboul Ella; Castillo, Oscar; Anand, Sameer; Jaiswal, Ajay

• Broschiertes Buch

Produktbeschreibung

This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing and Communication (ICICC 2023), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 17-18, 2023. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Produktdetails

• Lecture Notes in Networks and Systems 703
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-99-3314-3
• 1st ed. 2023
• Seitenzahl: 928
• Erscheinungstermin: 26. Juli 2023
• Englisch
• Abmessung: 235mm x 155mm x 47mm
• Gewicht: 1544g
• ISBN-13: 9789819933143
• ISBN-10: 9819933145
• Artikelnr.: 67818725

Autorenporträt

Dr. (Prof.) Aboul Ella Hassanein is the founder and head of the Egyptian Scientific Research Group (SRGE). Hassanien has more than 1000 scientific research papers published in prestigious international journals and over 50 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 superiority of scientific-University Award (Cairo University, 2013). Also, he honored in Egypt as the best researcher in Cairo University in 2013. He 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. Dr. (Prof.) Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation "Soft Computing and Fractal Theory for Intelligent Manufacturing"). He is a professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Currently, he is the president of Hispanic American Fuzzy Systems Association (HAFSA) and past president of International Fuzzy Systems Association (IFSA). Prof. Castillo is also a chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). His research interests are in type-2 fuzzy logic, fuzzy control, neuro-fuzzy and genetic-fuzzy hybrid approaches. He has published over 300 journal papers, 10 authored books, 40 edited books, 200 papers in conference proceedings and more than 300 chapters in edited books, in total 865 publications according to Scopus (H index=60), and morethan 1000 publications according to Research Gate (H index=72 in Google Scholar). Dr. Sameer Anand is currently working as an assistant professor in the Department of Computer Science at Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He has received his M.Sc., M.Phil. and Ph.D. (Software Reliability) from Department of Operational Research, University of Delhi. He is a recipient of "Best Teacher Award" (2012) instituted by Directorate of Higher Education, Govt. of NCT, Delhi. The research interest of Dr. Anand includes operational research, software reliability and machine learning. He has completed an innovation project from the University of Delhi. He has worked in different capacities in international conferences. Dr. Anand has published several papers in the reputed journals like IEEE Transactions on Reliability, International Journal of Production Research (Taylor & Francis), International Journal of Performability Engineering, etc. He is a member of Society for Reliability Engineering, Quality and Operations Management. Dr. Sameer Anand has more than 16 years of teaching experience. Dr. Ajay Jaiswal is currently serving as an assistant professor in the Department of Computer Science of Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He is a co-editor of two books/journals and co-author of dozens of research publications in international journals and conference proceedings. His research interest includes pattern recognition, image processing and machine learning. He has completed an interdisciplinary project titled "Financial Inclusion-Issues and Challenges: An Empirical Study" as Co-PI. This project was awarded by the University of Delhi. He obtained his masters from the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi. He is a recipient of the best teacher award from the Government of NCT ofDelhi. He has more than nineteen years of teaching experience.

Inhaltsangabe

High-Level Deep Features and Convolutional Neural Network For Evaluating the classification Performance of File Cluster Types.- Securing The Networks Against DDoS Attacks Using Blockchain Technology.- A Machine Vision-Based Approach for Tuberculosis Identification in Chest X-Rays Images of Patients.- Prediction of Patients' Incurable Diseases Utilizing Deep Learning Approach.- Real-Time Control of Humanoid Robotic Arm Motion Using IT2FLC Based on Kinect Sensor.- Blockchain Based Access Control with Decentralized Architecture for Data Storage and Transfer.- Effective Strategies For Resource Allocation And Scheduling In Cloud Computing.- A Brief Review Particle Swarm Optimization on Intrusion Detection System.- CryptoDataMR: Enhancing the Data Protection using Cryptographic Hash and Encryption/Decryption through MapReduce programming Model.- 5G Wireless network based cyber security analysis using software defined Phy_HetNets and Boltzmann encoder convolutional basis neural network.

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High-Level Deep Features and Convolutional Neural Network For Evaluating the classification Performance of File Cluster Types.- Securing The Networks Against DDoS Attacks Using Blockchain Technology.- A Machine Vision-Based Approach for Tuberculosis Identification in Chest X-Rays Images of Patients.- Prediction of Patients’ Incurable Diseases Utilizing Deep Learning Approach.- Real-Time Control of Humanoid Robotic Arm Motion Using IT2FLC Based on Kinect Sensor.- Blockchain Based Access Control with Decentralized Architecture for Data Storage and Transfer.- Effective Strategies For Resource Allocation And Scheduling In Cloud Computing.- A Brief Review Particle Swarm Optimization on Intrusion Detection System.- CryptoDataMR: Enhancing the Data Protection using Cryptographic Hash and Encryption/Decryption through MapReduce programming Model.- 5G Wireless network based cyber security analysis using software defined Phy_HetNets and Boltzmann encoder convolutional basis neural network.