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Review Article
Mixture-of-Experts in Remote Sensing: A Survey
Remote sensing data analysis and interpretation present unique challenges due to the diversity in sensor modalities and spatiotemporal dynamics of Earth observation data. Mixture-of-Experts (MoE) model has emerged as a powerful paradigm that addresses these challenges by dynamically routing inputs t...
Research Article
Two-Step Approach for Improving the Distribution Network Voltage Profile Using the Optimal Integration of the PV-BES System
This paper proposes the two-step approach for improving the voltage profile of the distribution network (DN) using the optimal integration of photovoltaic-battery energy storage (PV-BES) system. In the first step of the approach the optimal location of the PV-BES system in the DN and its optimal pow...
Research Article
An Analysis of Time Series Models for Predicting Global Rice Price
Rice plays a crucial role globally, as it is widely consumed across nations. Therefore, studying rice prices is vital, since fluctuations in the price can affect both its consumption and availability. This study analyzes time-series models using an international dataset. After preprocessing, the dat...
Review Article
Revolutionizing Battery Manufacturing: The Role of Dry Electrode Technology in Sustainable Energy Storage Solutions
The growing demand for high-performance energy storage, particularly in electric vehicles and grid applications, has highlighted the limitations of conventional lithium-ion battery manufacturing. Traditional wet-processing electrode fabrication, though widely used, faces challenges such as solvent w...
Research Article
Comparative Study of Lightweight Deep Learning Models for Greenhouse Tomato Leaf Disease Classification Using the Public TLID Dataset
Accurate recognition of greenhouse tomato leaf diseases is crucial for crop monitoring, timely intervention, and yield protection. In greenhouse environments, disease symptoms are often affected by complex illumination, background clutter, overlapping leaves, mixed patterns, and subtle inter-class d...
Research Article
A Decentralised Multi-Agent DRL-based Approach for Pedestrian and Vehicle Traffic Signals Controlling Systems Optimisation
Urban traffic congestion is a major issue that negatively affects mobility efficiency, environmental sustainability and road safety. Many recent methods for controlling traffic signals have used methods based on deep reinforcement learning (DRL) and provided positive results. However, it focused pri...
Research Article
A Data-driven Framework for Modeling Environmental Exposure Mixtures, Biological Aging Acceleration, and Chronic Disease Risk in U.S. Adults
Environmental exposure biomarkers (EEBs) reflect the internal burden of pollutants, yet the joint effects of multiple exposures on biological aging and chronic disease risk remain insufficiently characterized. We analyzed 8,582 adults from the 2013-2016 National Health and Nutrition Examination Surv...
Research Article
China's Bamboo Forest Management Policies in the Era of Artificial Intelligence: Resources, Regulation, and Sustainable Development Prospects
Bamboo forests constitute a strategic resource within China's forest ecosystem, encompassing approximately 6.416 million hectares, which represents nearly 2% of the total forested area. This paper presents a comprehensive review of bamboo forest management policies in China, tracing the evolution of...
Research Article
MHD Hybrid Nanofluid Flow with Heat Radiation over a Stretching Surface: Numerical Approach
This study investigates the three-dimensional magnetohydrodynamic (MHD) radiative flow and heat transfer of a kerosene-based hybrid nanofluid containing Al$_2$O$_3$ and Cu nanoparticles over a stretching sheet. The governing partial differential equations (PDEs) are formulated and transformed into a...
Research Article
TinyML Driven Intrusion Detection for 5G Network Slices with Leakage-Free Validation
The intrusion detection at the 5G network perimeter demands learning frameworks that are practically feasible and computationally efficient. This research proposes a lightweight, slice-sensitive intrusion detection approach designed for edge deployment, with a strong emphasis on minimizing informati...