QoS enhancement in wireless ad hoc networks using resource commutable clustering and scheduling

S Shitharth, H Manoharan, RA Alsowail, A Shankar… - Wireless …, 2023 - Springer
Effective management and control of large-scale networks can be challenging in the
absence of appropriate resource allocation. This paper presents a framework for …

Optimal management of seasonal pumped hydro storage system for peak shaving

AI Abdelfattah, MF Shaaban, AH Osman, A Ali - Sustainability, 2023 - mdpi.com
Power demand varies on a daily and seasonal basis. Responding to changing demands
over time is challenging for energy suppliers as it causes expensive power plants to operate …

Lagging problem in financial time series forecasting

J Li, L Song, D Wu, J Shui, T Wang - Neural Computing and Applications, 2023 - Springer
Accurate financial time series forecasting is important in financial markets. However, for
financial time series with low fluctuation, there is an unusual forecasting phenomenon in the …

Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model

PR Kshirsagar, K Upreti, VS Kushwah… - Signal, Image and Video …, 2024 - Springer
Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is
being developed. Emulating these tangible traits has recently gained popularity. Ceramic …

Mobile sensors based platform for COVID-19 contact tracing leveraging artificial intelligence

J Bacha, J Khan, AW Sardar, F Ullah, JI Khan… - Journal of Ambient …, 2024 - Springer
COVID-19 pandemic is an active epidemic disease and is evolving in various variants of
SAR-COV-2. The most critical point for COVID-19 is to break the transmission chain by early …

Predictive Analysis and Forecasting of Source-Wise Power Generation in Bangladesh with Machine Learning Techniaue

S Hasan, N Hasan, IB Sakib, MA Hasan… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
With an increasing population, the power demand in Bangladesh has increased significantly
over the last few decades. To cope with the increasing power demand in the future, energy …

Implementation of Artificial Intelligence in Industry 4.0, Future and Its Challenges-A Comprehensive Review

A TurandasjiPatil, B Vidhale… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Themanufacturing and industrial sectors in the world are undergoing completely futuristic
transformation due to the fourth industrial revolution, or Industry 4.0. The implementation of …

[PDF][PDF] A Comprehensive Flood Risk Inundation Mapping and Hybrid Model for Flood Forecasting in the Panam River Basin

M Patel, F Parekh - Contemporary Mathematics, 2024 - pdfs.semanticscholar.org
The forecasting of flooding plays a pivotal role in the field of hydrology and serves as an
essential measure for preventing any possible flood damage. This study presents an …

[PDF][PDF] Optimal Management of Seasonal Pumped Hydro Storage System for Peak Shaving. Sustainability 2023, 15, 11973

AI Abdelfattah, MF Shaaban, AH Osman, A Ali - 2023 - pdfs.semanticscholar.org
Power demand varies on a daily and seasonal basis. Responding to changing demands
over time is challenging for energy suppliers as it causes expensive power plants to operate …