This book is a compilation of high-quality scientific papers presented at the 5th International Conference on Computer & Communication Technologies (IC3T 2023). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, and web intelligence.
This book is a compilation of high-quality scientific papers presented at the 5th International Conference on Computer & Communication Technologies (IC3T 2023). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, and web intelligence.
Dr. Rama Devi Boddu received the Ph.D. from the JNTUH College of Engineering, Hyderabad, Telangana, India, in April 2016. She completed her M.Tech. in Digital Communication Engineering in 2007 from Kakatiya University, Warangal (KITSW). She joined the faculty of electronics and communication engineering at KITSW in 2007. From January 19, 2019, to December 16, 2021, she was the head of the Department of Electronics and Communication Engineering at KITSW. At present, she is working as a professor in the Department of ECE. She published more than 40 papers in various journals and conferences. She published three books and had two Indian patents granted to her. She acted as an editor and program chair for the Springer International conferences IC3T 2022 and ICDECT 2021. She acted as a session chair for various international conferences. Dr. T. Kishore Kumar earned his Ph.D. in signal processing in 2004. He headed the Department of Electronics andCommunication Engineering at NIT Warangal from 2015 to 2017. He was also the head of the Institute Computer Center, NIT Warangal, from 2018 to 2020. He was a visiting professor at ESIGELEC University in France in 2009, a visiting professor at TALLINN University, Estonia, for a semester for an MS in Computer Science, and a visiting professor at the Asian Institute of Technology, Bangkok, in 2019 under the Secondment of Indian Faculty by MHRD, Govt. of India. He worked as a technical officer in the Cabinet Secretariat, Prime Minister's Office, Government of India. He is a member of the Central Council Board (CCB) and a member of the Andhra Pradesh State Council for Higher Education (APSCHE). Dr. Manda Raju received his Ph.D. from Kakatiya University, Telangana, India, in 2017. In 2009, he received his M.Tech in Instrumentation and Control Systems from JNTU Kakinada. He has 23 years of teaching experience. He published more than 35 papers in various journalsand conferences. She published four books. He has been guiding two research scholars. His areas of interest include wireless communication and signal processing for communications. He is a member of IETE, a member of ISTE, a member of IAENG, and a senior member of IRED. Dr. K Srujan Raju obtained his Doctorate in Computer Science in the area of network security. He has more than 20 years of experience in academics and research. His research interest areas include computer networks, information security, data mining, cognitive radio networks and image processing, and other programming languages. He has undergone specific training conducted by Wipro Mission 10X & NITTTR, Chennai, which helped his involvement with students and is very conducive for solving their day-to-day problems. He has guided various student clubs for activities ranging from photography to Hackathon. He mentored more than 100 students for incubating cutting-edge solutions. He has organized many conferences, FDPs, workshops, and symposiums. He has established the Centre of Excellence in IoT and Data Analytics. Dr. Mathini Sellathurai is currently the dean of Science and Engineering and the head of the Signal Processing for Intelligent Systems and Communications Research Group, Heriot-Watt University, Edinburgh, UK and leading research in signal processing for Radar and wireless communications networks. Prof. Sellathurai has five years of industrial research experience. She held positions with Bell-Laboratories, New Jersey, USA and with the Canadian (Government) Communications Research Centre, Ottawa, Canada. She was an associate editorship for the IEEE Transactions on Signal Processing (2005-2018) and IEEE Signal Processing for Communications Technical Committee member (2013-2018). She was an organizer for the IEEE International Workshop on Cognitive Wireless Systems, IIT Delhi, India, 2009, 2010, and 2013; and the general chair of the 2016 IEEE Workshopon Signal Processing Advances in Wireless Communications (SPAWC), Edinburgh, UK.
Inhaltsangabe
Square shaped SIW based slotted MIMO antenna.- Food Recognition and Calorie Measurement Using Machine Learning.- Breast Cancer Prediction with Gradient Boost and XG Boost.- Data Cube Technology for Accessing of Large Database.- Handwritten Character Recognition for South Indian Languages using Deep Learning.- CavFind: A Novel Algorithm to Detect Cavities on Protein Structure.- Tire Imprint identification and classification using VGG19.- Uncovering insights in Agroforestry: A Text Mining Analysis Using Web Scraping and Topic Modeling.- Generative Adversarial Networks- A comprehensive Review.- System Modification Process to reduce calculation complexity in Backward Forward sweep Algorithm.- Exploit Reversible Gates to Implement Fast Quantum Sorting Algorithm.- Analyzing the Performance Variations of Naive Bayes, Linear SVM, and Random Forest for Spam Detection: A Comprehensive Study on the "Spam or Ham" Dataset.- A Novel Encryption Framework to Improve the Security of Medical Images.- Enhancing DDoS Attack Detection in SDN: A Novel Approach with IG-RFFI Feature Selection.- A novel fusion study on disease detection in cotton plants using embedded approaches of neural networks.- A security framework for the Detection of targeted attacks using honeypot.- SNMP Watcher: A Model to Detect DoS and DDoS Attacks using SNMP Management Information Base Analysis.- Comparative Analysis for Loan Approval Prediction System using Machine Learning Algorithms.- Classification of credit card delinquent customers using random forest algorithm.- Evaluating E-learning Engagement through EEG Signal Analysis with Convolutional Neural Networks.- Food Item Recognition and Calories Estimation Using YOLO-V5.- Fuzzy Cognitive Security Techniques for Data Aggregation in Capillary Networks.
Square shaped SIW based slotted MIMO antenna.- Food Recognition and Calorie Measurement Using Machine Learning.- Breast Cancer Prediction with Gradient Boost and XG Boost.- Data Cube Technology for Accessing of Large Database.- Handwritten Character Recognition for South Indian Languages using Deep Learning.- CavFind: A Novel Algorithm to Detect Cavities on Protein Structure.- Tire Imprint identification and classification using VGG19.- Uncovering insights in Agroforestry: A Text Mining Analysis Using Web Scraping and Topic Modeling.- Generative Adversarial Networks- A comprehensive Review.- System Modification Process to reduce calculation complexity in Backward Forward sweep Algorithm.- Exploit Reversible Gates to Implement Fast Quantum Sorting Algorithm.- Analyzing the Performance Variations of Naive Bayes, Linear SVM, and Random Forest for Spam Detection: A Comprehensive Study on the "Spam or Ham" Dataset.- A Novel Encryption Framework to Improve the Security of Medical Images.- Enhancing DDoS Attack Detection in SDN: A Novel Approach with IG-RFFI Feature Selection.- A novel fusion study on disease detection in cotton plants using embedded approaches of neural networks.- A security framework for the Detection of targeted attacks using honeypot.- SNMP Watcher: A Model to Detect DoS and DDoS Attacks using SNMP Management Information Base Analysis.- Comparative Analysis for Loan Approval Prediction System using Machine Learning Algorithms.- Classification of credit card delinquent customers using random forest algorithm.- Evaluating E-learning Engagement through EEG Signal Analysis with Convolutional Neural Networks.- Food Item Recognition and Calories Estimation Using YOLO-V5.- Fuzzy Cognitive Security Techniques for Data Aggregation in Capillary Networks.
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