Various optimization algorithms for efficient placement and sizing of photovoltaic distributed generations in different networks. by Ahmed A Zaki Diab, Fayza S Mahmoud, Hamdy M Sultan, Abou-Hashema M El-Sayed, Mohamed A Ismeil, Omar Makram Kamel

“…Recent research has concentrated on emphasizing the significance of incorporating renewable distributed generations (RDGs), like photovoltaic (PV) and wind turbines (WTs), into the distribution system to address issues related to distributed generation (DG) allocation. …”
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Environmental Sensitivity in AI Tree Bark Detection: Identifying Key Factors for Improving Classification Accuracy by Charles Warner, Fanyou Wu, Rado Gazo, Bedrich Benes, Songlin Fei

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Prioritized Multi‐Step Decision‐Making Gray Wolf Optimization Algorithm for Engineering Applications by Idriss Dagal, Alpaslan Demirci, Ambe Harrison, Wulfran Fendzi Mbasso, Said Mirza Tercan, Burak Akın, Kürşat Tanriöven, Havva Aysun Sezgin Köksal, Ahmet Nayir

“…The multi‐step decision‐making process implemented in PMS‐GWO is critical to achieving these improved convergence and diversity metrics.…”
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Early Prediction Detection of Retail and Corporate Credit Risks Using Machine Learning Algorithms by Mohamed A. Hamada, Karim Farag, Adejor E. Abiche

“…Doi: 10.28991/ESJ-2025-09-02-025 Full Text: PDF…”
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A Novel YOLOv10-Based Algorithm for Accurate Steel Surface Defect Detection by Liefa Liao, Chao Song, Shouluan Wu, Jianglong Fu

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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations by V. Murugesh, M. Priyadharshini, T. R. Mahesh, Esmael Adem Esleman

“…Mesh free nature of TSA enables us to have the advantage of (i) not being grid dependent (iii) diversity preservation using entropy and (iii) Energy driven solution updates. …”
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Detection of Electrical Fires in Residential Buildings Using a Gradient Boosting Machine Algorithm by Sharaban Taha Ahmed, Fadhil Aula

“…The paper discusses a technique for detecting electrical fires in residential buildings using the Gradient Boosting Machine (GBM) algorithm. …”
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A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

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A novel adaptive PID controller with new seesaw algorithms using alternative derivatives by Juan Pablo Manzo Hernández, Julio César Solano Vargas, Juan Manuel Barrera Fernández, Daniel Moreno Orduña, Cristian Hamilton Sánchez Saquín

“…Its main drawbacks include difficulty in achieving proper gains tuning for complex systems and lack of adaptability attributed to its fixed gains when system dynamics change. …”
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Calibrating Microscopic Traffic Simulation Model Using Connected Vehicle Data and Genetic Algorithm by Abolfazl Afshari, Joyoung Lee, Dejan Besenski, Branislav Dimitrijevic, Lazar Spasovic

“…This study introduces a data-driven approach to calibrate microscopic traffic simulation models like VISSIM using high-resolution trajectory data, aiming to improve simulation accuracy and fidelity. …”
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Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis by Prema Nedungadi, Simi Surendran, Kai-Yu Tang, Raghu Raman

“…AI applications notably improve healthcare by advancing disease tracking, tailored treatments, and precision medicine, fostering universal healthcare and reducing noncommunicable disease mortality. …”
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An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm by Luis Fernando Grisales-Noreña, Vanessa Botero-Gómez, Rubén Iván Bolaños, Faustino Moreno-Gamboa, Daniel Sanin-Villa

“…The modeling of these modules is complex due to nonlinear differential equations and the challenge of determining the actual values of thermoelectric properties like electrical resistivity, thermal conductivity, and one of the most relevant parameters, the Seebeck coefficient. …”
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Simultaneous Localization and Mapping Methods for Snake-like Robots Based on Gait Adjustment by Chaoquan Tang, Zhipeng Zhang, Meng Sun, Menggang Li, Hongwei Tang, Deen Bai

“…However, the characteristics of their motion, such as large turning angles and fast rotation speeds, can lead to issues like drift or even failure in positioning and map building. …”
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RSNC-YOLO: A Deep-Learning-Based Method for Automatic Fine-Grained Tuna Recognition in Complex Environments by Wenjie Xu, Hui Fang, Shengchi Yu, Shenglong Yang, Haodong Yang, Yujia Xie, Yang Dai

“…Based on YOLOv8s-seg, RSNC-YOLO integrates Reparameterized C3 (RepC3), Selective Channel Down-sampling (SCDown), a Normalization-based Attention Module (NAM), and C2f-DCNv3-DLKA modules. …”
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Multicenter Evaluation of Machine-Learning Continuous Pulse Rate Algorithm on Wrist-Worn Device by Weixuan Chen, Rafael Cordero, Jessie Lever Taylor, Domenico R. Pangallo, Rosalind W. Picard, Marisa Cruz, Giulia Regalia

“…Methods: Volunteers were enrolled in three independent clinical trials and concurrently monitored with the investigational device and FDA-cleared electrocardiography (ECG) devices during supervised protocols representative of real-life activities. …”
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Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

“…Furthermore, we employed various transfer learning (TL) algorithms, including VGG16, ResNet152, MobileNetV3Small, EfficientNetB6, EfficientNetB7, DenseNet201, Vision Transformer (ViT), Data-efficient Image Transformer (DeiT), ImageIntern, and Swin Transformer (versions v1 and v2). …”
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Evaluating the Efficiency of Gray Wolf Optimization and Colonial Competition Algorithm in Load Balancing of Distributed Systems by Asghar Molaei-Yeznabad, Amirhossein Dehghani

“…The expansion of distributed systems has highlighted the critical importance of efficient distributed processing. …”
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Concept of Artificial Intelligence-oriented Public Health Model in Cancer Care by Ivashchuk Oleksandr, Hovornyan Serhiy

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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

“…Initially, multimodal data like electroencephalogram (EEG)/Electromyography (EMG) signals and sensor measures data are collected from the available data resource. …”
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Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources by Seokwoo Hyun, Geonho Kim, Jungsung Park, Yunhyuk Choi

“…We introduce a novel sensitivity-based control algorithm for Virtual Power Plants (VPPs) that optimizes the deployment of distributed energy resources (DERs). …”
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