An Enhanced Fractional Open Circuit Voltage MPPT Method for Rapid and Precise MPP Tracking in Standalone Photovoltaic Systems by Muhannad J. Alshareef

“…The simulation findings reveal that this new method surpasses studied methods by achieving faster convergence within 0.08 s and slightly higher efficiency rates of up to 99.8% under different irradiance conditions. The study demonstrates that integrating MCA with FOCV improves efficiency by nearly 7% while reducing oscillations during steady-state operation. …”
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Enhanced Anti-Lock Braking System Performance: A Comparative Study of Adaptive Terminal Sliding Mode Control Approaches by Salma Khatory, Houcine Chafouk, El Mehdi Mellouli

“…Despite its advantages, SMC faces challenges such as chattering near equilibrium, sensitivity to parameter variations, and delayed convergence. …”
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Hybrid deep learning framework for robust time-series classification: Integrating inception modules with residual networks by Duong Thi Kim Chi, Nguyen Thi Mai Trang, Tran Ba Minh Son, Nguyen Ngoc Thao, Thanh Q. Nguyen

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The Legal Challenges of Implementing AI in Emergency Departments by Shaghayegh Rahmani, Sahar Azamghasemzadeh

“…The challenge lies in determining who is accountable for AI-driven decisions in healthcare emergencies, which needs clear guidelines and protocols to ensure accountability and patient safety. …”
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Optimization of thermal conductivity in coir fibre-reinforced PVC composites using advanced computational techniques by Saksham Anand, Venkatachalam Gopalan, Shenbaga Velu Pitchumani

“…DFO delivers consistent results with slightly higher error rates, while PSO demonstrates rapid convergence but greater variability. …”
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Efficient Path Planning in Multi-Agent Environment of AAVs With Payloads by Annapurna Jonnalagadda, Yuva Sai Verma, M. V. Bharat, E. Z. Ushus

“…The development of Autonomous Aerial Vehicle (AAV) technology is considered promising for applications such as product delivery, surveillance, and search and rescue operations. …”
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The Extension of Auxiliary Problem Principle for Solving Dynamic Economic Dispatch Problem in Power Systems by Yaming Ren

“…Considering the special case where the objective function is composed of two separable convex functions, the auxiliary problem principle (APP) is an effective parallel distributed algorithm for solving the special case. …”
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A mobile cloud computing framework for execution of data as a service using cloudlet by Santosh Kumar Yadav, Rakesh Kumar

“…In mobile cloud computing, cloudlet is used as an intermediate between cloud and mobile devices. These cloudlets are resource rich mobile devices. …”
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Distributed Localization of Non-Cooperative Targets in Non-Coplanar Rendezvous Processes by Zihan Zhen, Feng Yu

“…In order to address the challenges of non-cooperative target localization during non-coplanar rendezvous, this study develops a distributed cooperative localization scheme. …”
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Two-dimensional sparse recovery method for channel estimation in massive MIMO OTFS systems by WANG Han, WEN Fangqing, LI Xingwang, WANG Xianpeng

“…Unlike traditional OMP-based methods, in which delay and Doppler shifts were estimated independently, the proposed algorithm combined these two dimensions into a unified delay-Doppler (DD) domain, effectively leveraging the multi-dimensional sparsity of OTFS channels. …”
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Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. by Sathish Kaveripakam, Ravikumar Chinthaginjala

“…Further, the data is transmitted via the optimal path securely by encrypting the data with the proposed improved blowfish algorithm (IBFA). …”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli, Rani Kumari, Adnan Akhunzada, Korhan Cengiz, Santosh Kumar Sharma, Rakesh Ranjan Kumar, Dinesh Kumar Sah

“…Our employed scheme achieved the best results for both datasets obtaining accuracy of 93.25% (G1020 dataset) and 96.75% (ORIGA dataset), respectively. …”
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An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data by Tanisha Bhardwaj, K. Sumangali

“…Experimental validation was conducted using the Heart Disease dataset from Kaggle and the Wisconsin Breast Cancer dataset. …”
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Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…This coming together involves combining diverse data streams from different sources and transmitting processed data in real-time. …”
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A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases by E. Gangadevi, Ben Othman Soufiane, Balamurugan Balusamy, Firoz Khan, Masresha Getahun

“…Experimental outcomes on the Plant Village dataset show that our method outperforms existing techniques, achieving 98.3% accuracy, 98.04% precision, and 98.11% recall, thus confirming its efficacy for reliable detection of tomato plant leaf diseases.…”
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3D Film Animation Image Acquisition and Feature Processing Based on the Latest Virtual Reconstruction Technology by Siwei Wu, Shan Xiao, Yihua Di, Cheng Di

“…By studying the degradation effect of the reconstruction process of the 3D integrated imaging system, it is proposed to improve the display resolution by increasing the pixel point information of fixed display array units. …”
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SPARQ: Efficient Entanglement Distribution and Routing in Space–Air–Ground Quantum Networks by Mohamed Shaban, Muhammad Ismail, Walid Saad

“…In this article, a space–air–ground quantum (SPARQ) network is developed as a means for providing a seamless on-demand entanglement distribution. …”
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UAV coal-rock recognition and 3D coal seam model dynamic correction technology in open-pit mine by Jie Yuan, Guangwei Liu, Senlin Chai, Weiqiang Guo, Yunlong Huang

“…However, due to limitations like sparse initial data and challenges in obtaining geological realism data, these models are often static with insufficient spatial resolution. …”
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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

“…This study is focused on developing a machine learning (ML) model that is clinically acceptable for accurately detecting vitamin D status and eliminates the need for 25-OH-D determination while addressing overfitting. …”
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Bayesian Optimized GridDehazeNet for Adaptive Haze Removal in Real-World Applications by Sungkwan Youm

“…While models like GridDehazeNet enhance dehazing performance, our research emphasizes that selecting appropriate image data and application methods is even more crucial. …”
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