Artificial Intelligence for Climate Change Biology: From Data Collection to Predictions

O Levy, S Shahar - Integrative And Comparative Biology, 2024 - academic.oup.com
In the era of big data, ecological research is experiencing a transformative shift, yet
advancements in thermal ecology and the study of animal responses to climate conditions …

Deep Learning Techniques for Enhancing Near-Field Spatially Varying Channels In Wireless Communications

C Srividhya, I Sapthami, A Nagpal… - 2024 International …, 2024 - ieeexplore.ieee.org
In the ever-growing field of radio communications, better ways of modeling and boosting
channels are needed, especially for channels that change location in the near field. Here …

Advancing Distributed Energy Systems through Power Electronic Interfaces Integration and Benefits

VB Sree, R Chandrashekar… - 2024 International …, 2024 - ieeexplore.ieee.org
As distributed energy (DE) systems continue to be used and technology advances have a
growing influence on business, it is becoming more and more important to understand how …

Advancing Power System Evolution with the Energy Internet for Renewable Integration and Grid Optimization

P Anjaiah, U Reddy, KH Babu, A Nagpal… - 2024 International …, 2024 - ieeexplore.ieee.org
The integration of renewable power has emerged as a global issue impeding power system
growth. The emergence of the energy network will provide an innovative approach to …

Advanced Deep Learning Architectures for Real-Time Human Emotion Recognition and Behavioral Prediction

CHV Reddy, NVU Reddy, S Sharma… - 2024 International …, 2024 - ieeexplore.ieee.org
In the expanding domain of affective computing, the quest for real-time human emotion
recognition and behavioral prediction has been significantly invigorated by advancements in …

Advancing Intrusion Detection Systems Innovative Approaches for Prevention and Response

MSS Reddy, BSSM Krishna, V Asha… - 2024 International …, 2024 - ieeexplore.ieee.org
A group intruder detection system built on K-Nearest Neighbors, Decision Trees, Neural
Networks, Support Vector Machines, and Random Forests is shown in this study. A thorough …

Cognitive Solutions: Implementation of AI for Fault Detection and Reduction in High-Voltage DC Transmission Systems

K Dasari, R Gundlapalle, M Gupta… - 2024 International …, 2024 - ieeexplore.ieee.org
The rise of high-voltage direct current (HVDC) transmission systems has heralded a new era
in the field of electrical engineering, offering superior efficiency over long distances …

Federated Learning for Privacy-Preserving Medical Data Analytics in Big Data

JB Madavarapu, A Nainwal, AH Shnain… - 2024 International …, 2024 - ieeexplore.ieee.org
This examination investigates the application of Federated Learning (FedAvg, FedSGD,
FedProx, HEFL) for security safeguarding medical data analytics about big data. Utilizing a …

Application of Swarm Intelligence Techniques for Optimization in Speech-to-Text Translation Systems

S Gupta, RT Hemanth, G Lalitha… - 2024 International …, 2024 - ieeexplore.ieee.org
The rapid advancement of quantum computing has led to a fundamental change in the field
of cryptography, requiring the development of correspondingly sophisticated security …

Behavioral Biometrics Authentication Systems: Leveraging Machine Learning for Enhanced Cybersecurity

JB Madavarapu, M Mittal, S Salagrama… - 2024 International …, 2024 - ieeexplore.ieee.org
This study focuses on behavioral biometrics and machine learning procedure that is
employed vigorous in the verification frameworks to improve cybersecurity. Elaborating …