Comprehensive review and future prospects of multi-level fan control strategies in data centers for joint optimization of thermal management systems

K Cao, Z Li, H Luo, Y Jiang, H Liu, L Xu, P Gao… - Journal of Building …, 2024 - Elsevier
With the rapid advancement of information and communication technology, particularly in
artificial intelligence and cloud computing, the deployment of data centers has surged …

Recognition and classification of facial expression using artificial intelligence as a key of early detection in neurological disorders

N Goudarzi, Z Taheri, AM Nezhad Salari… - Reviews in the …, 2025 - degruyter.com
The recognition and classification of facial expressions using artificial intelligence (AI)
presents a promising avenue for early detection and monitoring of neurodegenerative …

Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling

WQ Feng, M Bayat, Z Mousavi, L Bin… - … and Management of …, 2024 - Taylor & Francis
Dynamic properties, such as shear modulus and damping ratio, are critical for civil
engineering applications and essential for accurate dynamic response analysis. This study …

Faster and Stronger: Unleashing Data Processing Potential through Hardware Heterogeneity

C Wang, Y Luo, W Du, K Wang, N Gu… - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
With the rapid advancement of AI technology, there has been a substantial surge in the need
for computational resources. Particularly in deep learning, machine learning, and large …

Deep Reinforcement Learning for QoT-Aware Routing, Modulation, and Spectrum Assignment in Elastic Optical Networks

A Asiri, B Wang - Journal of Lightwave Technology, 2024 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) has been applied to the routing, modulation, and
spectrum assignment (RMSA) in elastic optical networks (EON), enabling the learning of …

Performances of Various Aspect-Oriented Systems with their Significant Quality Attributes

S Patel, K Saini - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Aspect-oriented system gives a system for utilizing the crosscutting concerns. This paper
found a few procedures that break down the reusability of Object-Oriented (OO) …

Understanding Factors Affecting Trust And Satisfaction With Banking In India

A Kumar, IR Singh, C Kumar… - 2023 5th International …, 2023 - ieeexplore.ieee.org
The aim of this paper is to explore the opportunity and possibility to understand the
importance of user experience and satisfaction which is an important factor in effective trust …

E-Commerce for Teak Wood Cabinet Work

V Kumar, S Kumar, RK Ohja… - 2023 5th International …, 2023 - ieeexplore.ieee.org
In diurnal actuality, when individualities buy or construct houses for their families, they
believe the stylish cabinetwork should make their home look lovely, so they search for the …

AI in Data Recovery and Data Analysis

A Singh, A Joshi, MS Sankhla, K Saini… - … in Forensic Science, 2024 - taylorfrancis.com
The use of artificial intelligence (AI) techniques for data collection and analysis is examined
in this chapter. It also looks at the benefits, challenges, and future directions. It provides a …

Prediction of House Pricing Using Machine Learning

K Saini, P Kashyap, P Yadav - 2023 5th International …, 2023 - ieeexplore.ieee.org
Data mining is increasingly frequently used in the housing market. In order to estimate
house prices, important housing qualities, and many other things, data mining is quite …