Titlebook: Innovative Computing and Communications; Proceedings of ICICC Aboul Ella Hassanien,Sameer Anand,Prabhat Kumar Conference proceedings 2024 T

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C. V. Eswar Sai Reddy,M. Dhanushya,Gutta Lavanya,Sahil G. Rao,Geetha Dayalaninterest and conflicts of commitment. All funding sources carry some risk of encouraging “incentive bias,” and no reasonable critics have proposed doing away with pharmaceutical company sponsorship of research and training. Several have urged the pharmaceutical industry to assume a more responsible

Amorous

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podiatrist

Low Voice Speech Conversion Analysis Using Novel Convolutional Neural Network Compared with K-Neare and comparing its effectiveness with the K-Nearest Neighbor algorithm. Utilizing Machine Learning Algorithms to Transform Low Voice Speech into Normal Speech: A Comparative Study between Convolutional Neural Network and K-Nearest Neighbors, Each Employing 20 Samples per Group. In this study, a pret

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,ML Models for?Energy Efficiency in?Office Buildings: A Comprehensive Comparative Analysis, is one of the approaches for efficient management of energy. A data-driven model is used to predict user preferences for electrical appliances. In this work, we compare six different machine learning models to learn user behavior for automating appliances in smart buildings. Pre-processed data sets

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HAIRY

Advancements in Arrhythmia Classification: A Comprehensive Survey of AI Techniques,hes to deep learning models and hybrid methodologies. The survey covers the fundamental importance of accurate arrhythmia diagnosis, highlighting its critical role in cardiovascular disease management. Each techniques advantages, disadvantages, and applications are documented. The focus is on the ev

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Survey on VANET Authentication Scheme Based on Cryptographic Protocols,etween vehicles (V2V communication) as well as between vehicles and infrastructure (V2I communication). As VANETs are advancing toward improving road safety and traffic efficiency, the need for robust authentication mechanisms grows. The cryptographic scheme guarantees that interactions remain anony

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Exploring Machine Learning Models for Age Recognition,ting things, especially human faces. These developments have made a substantial contribution to addressing real-world problems. Numerous studies have been conducted using neural networks, which are commonly referred to as “black boxes” due to their complex decision-making mechanisms and ability to f