Advances in Communication and Applications (eBook, PDF)

Proceedings of ERCICA 2023, Volume 2
Redaktion: Shetty, N. R.; Nagaraj, H. C.; Prasad, N. H.

• Format: PDF

Produktbeschreibung

This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA) 2023. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. Some of the topics include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 597
• Erscheinungstermin: 6. Januar 2024
• Englisch
• ISBN-13: 9789819976331
• Artikelnr.: 69759337

Autorenporträt

N. R. Shetty is the Chancellor of the Central University of Karnataka, Kalaburagi, and Chairman of the Review Commission for the State Private University Karnataka. He is currently serving as Advisor to the Nitte Meenakshi Institute of Technology (NMIT), Bangalore. He is also the Founder and Vice-President of the International Federation of Engineering Education Societies (IFEES), USA. He served as Vice Chancellor of Bangalore University for two terms and President of the ISTE, New Delhi, for three terms. He was also a Member of the Executive Committee of the AICTE and Chairman of its South West Region Committee. N. H. Prasad is currently working as Professor and Head of the Department of Master of Computer Applications at Nitte Meenakshi Institute of Technology, Bengaluru. He completed his Ph.D. at Jawaharlal Nehru University, India. He has more than 18 years of experience in different roles in both public and private sector enterprises, including the Ministry of Human Resource and Development, Government of India. He has received the prestigious "Dr. Abdul Kalam Life Time Achievement Award" and also received a "Young Faculty" award at the 2nd Academic Brilliance Awards. H. C. Nagaraj obtained his B.E. Degree in Electronics & Communication Engineering securing first class with distinction from the University of Mysore in 1981. He obtained his M.E. in Communication Systems from P.S.G. College of Technology, Bharathiar University in 1984 and secured first rank. He received his doctoral degree in the area of Biomedical Signal Processing and Instrumentation from the Indian Institute of Technology (IIT) Madras in 2000. He assumed charge as Principal of Nitte Meenakshi Institute of Technology, Bangalore, in September 2003, and to date, he is serving as Principal. He has about 38 years of experience in teaching, research and administration. Dr. Nagaraj has published a number of papers in national and international journals, and conferences and delivered invited talks in the field of biomedical signal processing, image processing, mobile communication, etc. He has guided several students in their Ph.D. programs.

Inhaltsangabe

Application of Artificial Neural Network for the Validation of Airfoil Efficiency.- Predicting Holding Days for Equity Gain Using Wavelets.- Intelligent Camera Based Eye Controlled Wheelchair System: Raspberry Pi and Advanced Algorithms.- TinyML based Human and Animal Movement Detection in Agriculture fields in India.- Social Distancing Monitoring for Real time .- Deep Learning Framework.- Designing Energy Routing Protocol with Energy Consumption Optimization in Cognitive Radio Networks.- Implementation of the AES Algorithm on FPGA.- Security System Using Pir Sensor.- A novel design and implementation of Full Adder Circuit using QCA and Qiskit.- GitHub Users Recommendations based on Repositories and User Profile.- Social Network Hashtag Analysis for the 75th Year of India's Independence.- A Survey Analysis on Dental Caries Detection From RVG Images Using Deep Learning.- IOT Based Smart Agriculture Monitoring System Using Web-Application.- An Analysis of the Effects of the COVID-19 Pandemic on Women's Anxiety and Depression Symptoms.- An Exploration of State of Art Approaches on Low-light Image Enhancement Techniques.- Skin Cancer Detection With Metadata Using Deep Learning Stratagies.- Detect and Alleviate DDOS Attacks in Cloud Environment.- Smart Grading System Using BI LSTM With Attention Mechanism.- Analysis and Prediction of Polycystic Ovarian Syndrome using ML Classifiers.- Classification of Breast Cancer using Computational Machine Learning Algorithms.- Credit Card Fraud Analysis using Machine Learning.- Machine Learning Approaches for Stroke Detection and SMOTE for Imbalanced Data.- Prediction of cost for medical care insurance by using Regression models.- Load frequency control using PID and Particle Swarm Optimization-ITAE.- Efficacy of Papworth Method to Improve Quality of Life and Exercise Tolerance in Asthma.- CNN approach for Plant Disease detection - Krishi Snehi.- Lung cancer Classification and Prediction based on Statistical Feature Selection MethodUsing Data Mining Techniques.- Optimal Solution for Distance Detectionusing Deep Learning Techniques on Embedded devices.- Cloud Data Security Using Hybrid Encryption With Blockchain.- Indian Image Dataset for the Image Forgery.- Detection of Pneumonia From Chest X-ray using Deep Learning.- Image Captioning using CNN-LSTM.- Future Sales Prediction Using Regression & Deep Learning Techniques.- Rider Face Mask Detection and Alerting using Machine Learning Techniques.- Methods for Improving User Position Accuracy in IRNSS(NavIC) Receiver .- Specular Reflection Removal Techniques in Cervix Image: A Comprehensive Review.- An Exploration of State of Art Approaches on Substrate Integrated Waveguide Technology based Antennas for Wireless Applications.- Daily Platelet Count Prediction in treating Dengue Patients using Deep Learning Algorithm.- Hybrid Data Science Approaches to Predict the Academic Performance of Students.- GAN-based Image Restoration and Colorization.- Novel Adaptive Learning Rate Back PropagationNeural Network-Based Online Rotor and Stator Resistance Estimator for Sensorless Induction Motor Drives.- An efficient KNN algorithm for the mental health performance assessment using k-means clustering.- Classification of Skin Cancer using Deep Learning.