AI-Optimized Hardware Design for Internet of Things (IoT) Devices

PV Kumar, A Kulkarni, D Mendhe… - … on Recent Trends in …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) has emerged as a transformative paradigm, connecting billions
of devices to the Internet and enabling seamless communication and data exchange. As the …

AI-Based Virtual Screening for Identifying Novel Drug Candidates

S RadhaMahendran, SV Deshmukh… - … on Recent Trends in …, 2024 - ieeexplore.ieee.org
VR screening uses computers to find large databases of chemical compounds and predict
their potential as medications based on factors such as binding affinity, pharmacokinetics …

Production of bio-oil from Tung seed residues in a fluidized-bed reactor

S Suttibak, C Saengmanee, A Chuntanapum - Heliyon, 2024 - cell.com
The current paper presents research on bio-oil production from Tung seed residues fed at
500 g/h via fast pyrolysis in a fluidized-bed. The objective was to investigate the influence of …

AI-Driven Circuit Optimization for Energy-Efficient Electronics Design

PH Solomon, B Pattanaik, O Pattanaik… - … on Recent Trends in …, 2024 - ieeexplore.ieee.org
The process of enhancing electronic circuits in order to improve energy efficiency is currently
being made more efficient with the application of artificial intelligence (AI). In this day and …

Efficient Power Grid Management Using Quantum Computing and Machine Learning

S Aslam, G Tabita, JSVG Krishna… - Real-World Challenges …, 2024 - igi-global.com
This research work aims to explore a new approach to enhance power grid management
efficiency by combining machine learning with quantum computing. This groundbreaking …

Artificial Neural Networks for Weld Joint Strength Prediction in Various Welding Techniques

BS Panigrahi, HR Manjunath, A Chipade… - … on Recent Trends in …, 2024 - ieeexplore.ieee.org
It is very important to be able to guess how strong weld joints will be because it affects the
structural stability and performance of the parts that have been welded. In recent years …

AI-Driven Drug Discovery: Computational Methods and Applications

GN Rao, C Gunasundari, SBGT Babu… - … on Recent Trends in …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) and its revolutionary effects on the medication development
process. The project explores the potential integration of artificial intelligence tools into the …

Quantum Algorithms for Intelligent Optimisation in Battery Manufacturing

A Kumar, RVV Krishna, V Satyanarayana… - Real-World Challenges …, 2024 - igi-global.com
The exploration chapter investigates the operation of amount algorithms for intelligent
optimisation in battery manufacturing processes. Using the principles of amount computing …

AI-Driven Fault Detection in Smart Grids

S Pradeep, CRES Rex, D Kalaiyarasi… - 2024 3rd Odisha …, 2024 - ieeexplore.ieee.org
The use of artificial intelligence (AI) for fault finding in smart grids, with the end goal of
improving the reliability and efficiency of ultramodern power systems. Smart grids, which are …

Machine Learning for Diversity and Inclusion: Addressing Biases in HR Practices

DA Kumari, IAK Shaikh, S Gangadharan… - … on Recent Trends in …, 2024 - ieeexplore.ieee.org
As organizations strive to foster diverse and inclusive workplaces, the role of technology,
particularly machine learning, becomes crucial in addressing biases inherent in Human …