Volume 9, Issue 1 (2023) Research on Computing and Communication Sciences.
Research on Computing and Communication Sciences.Computing can be described as the application of computer technology to accomplish a goal-oriented task. It includes the design and development of various hardware and software systems. Today, computing equipment, such as PCs, laptops, handheld devices, cell phones, and smart home products, is ingrained in daily life. The evolution of the Internet of Things (IoT) has further enhanced the same. Cloud computing, social computing, ubiquitous computing, parallel computing, grid computing, etc. are only a few of the new activities made possible by the domain's constant expansion. This volume will present recent developments in the domains of computing and communications. It will primarily include current works and research findings from various research labs, universities, and institutions, and will potentially lead to the development of market-demanded products. It will report substantive results on a wide range of computational approaches applied to a wide range of problems. The series will provide volumes of works with empirical studies, theoretical analysis, or comparisons of psychological phenomena.
Saumendra Pattnaik Dr., Binod Kumar Pattanayak Prof. (Dr.), and Mohammad Alnabhan Prof. (Dr.)
Security Life Cycle framework for Exploring & Prevention of Zero day attacks in Cyberterrorism
Bassam Mohammad Elzaghmouri Dr. and Ahmad khader Habboush Dr.
Challenges and Solution for Identification of Plant Disease Using Machine Learning & IoT
Suprava Ranjan Ranjan Laha Mr., Sonali Samal, Debasish Swapnesh Kumar Nayak, Saumendra Pattnaik, and Binod Kumar Pattanayak Prof. (Dr.)
Comparative Analysis of Data Mining Techniques for Heart Disease Prediction: A Focus on Neural Networks and Decision Trees
Suman Kumari Panigrahi, Abantika Roy, Gargi Balabantaray, and Karishma Rana
Employee Attrition System Prediction using Random Forest Classifier
Soumen Nayak and Pranati Palai
Predicting Accurate Heart Attacks Using Logistic Regression
Vishal Baral, Pranati Palai, and Soumen Nayak
Graphical Image Rendering: Modeling, Animation of Facial or Wild Images
Rohit Kaushik, Chirag Vashisht, and Eva Kaushik
Forecasting Stock Market Indices Using Gated Recurrent Unit (GRU) Based Ensemble Models: LSTM-GRU
Nrusingha Tripathy, Surabi Parida, and Subrat Kumar Nayak