Parameter Extraction of Photovoltaic Cells and Panels Using a PID-Based Metaheuristic Algorithm by Aseel Bennagi, Obaida AlHousrya, Daniel T. Cotfas, Petru A. Cotfas

“…A Lévy flight-based zero-output mechanism was integrated, enabling shorter extraction times and requiring a smaller population, while enhancing search diversity and mitigating local optima entrapment. PSA was compared against 26 top-performing algorithms. …”
Get full text

Recent advances in multi-objective whale optimization algorithm, its versions and applications by Sharif Naser Makhadmeh, Sofian Kassaymeh, Gaith Rjoub, Bilal Bataineh, Yousef Sanjalawe, Mohammed Azmi Al-Betar

Get full text

Evaluation of the Performance of Unsupervised Learning Algorithms for Intrusion Detection in Unbalanced Data Environments by Gutierrez-Portela Fernando, Almenares Mendoza Florina, Calderon-Benavides Liliana

Get full text

Highway Traffic Flow Prediction Algorithm Based on Multiscale Transformation and Convolutional Networks by Yuzhu Luo, Jiarong Wang, Ming Wei

“…In order to solve the problem that the traditional long-term high-speed traffic forecasting algorithm is affected by the approximation ability of the function and easy to fall into the local mass value, we wrote a multivariate-based highway traffic forecasting algorithm scaling and convolutional networks. …”
Get full text

A Socially Aware Routing Based on Local Contact Information in Delay-Tolerant Networks by Chan-Myung Kim, Youn-Hee Han, Joo-Sang Youn, Young-Sik Jeong

“…In this paper, we propose an efficient routing scheme by using a node’s local contact history and social network metrics. …”
Get full text

Analyzing Household Vehicle Ownership in the Japanese Local City: Case Study in Toyota City by Jia Yang, Hideki Kato, Ryosuke Ando, Yasuhide Nishihori

“…This study aims to understand the crucial factors affecting vehicle ownership in the local city, Japan. 14,855 household sample data in Toyota City are used as the research sample. …”
Get full text

The sovereignty-internationalism paradox in AI governance: digital federalism and global algorithmic control by Artur Ishkhanyan

“…The EU’s risk-based regulatory model demonstrates a supranational approach balancing innovation with ethical oversight, while China’s centralized AI-driven governance exemplifies state-centric control through algorithmic surveillance. To address these tensions, the study introduces Digital Federalism, a governance model that integrates subsidiarity and multi-tiered sovereignty, enabling regulatory coordination across local, national, and global levels. …”
Get full text

Generalized Type-2 Fuzzy Approach for Parameter Adaptation in the Whale Optimization Algorithm by Leticia Amador-Angulo, Oscar Castillo, Patricia Melin, Zong Woo Geem

Get full text

A novel region based neighbors searching classification algorithm for big data by Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin

“…This research presents a compelling advancement in classification algorithms, with practical implications across domains such as healthcare, agriculture, and environmental intelligence.…”
Get full text

Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Future work will focus on experimental validation of MOMDBA under real-world conditions and its integration with advanced monitoring technologies. Further research may also explore adaptive extensions of the algorithm for real-time structural health monitoring. …”
Get full text

Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

“…As a core component of automated logistics systems, delivery robots hold significant application value in the field of unmanned delivery. This research addresses the robot path planning problem, aiming to enhance delivery efficiency and reduce operational costs through systematic improvements to the RIME optimization algorithm. …”
Get full text

An industrial carbon block instance segmentation algorithm based on improved YOLOv8 by Runjie Shi, Zhengbao Li, Zewei Wu, Wenxin Zhang, Yihang Xu, Gan Luo, Pingchuan Ma, Zheng Zhang

Get full text

Real-time and Cost-efficient Indoor Localization and Mapping Solution for Emergency Response Applications by H. Elsayed, A. Shaker

Get full text

Parameter Optimization of MALDI-TOF MS Based on Improved Whale Optimization Algorithm by Yu-peng ZHANG, Yu-gong DANG, Hui-yuan YANG, Zhi-gang ZHOU, Gao-hang JIANG

“…To address the shortcomings of the Whale optimization algorithm, including slow convergence speed, low precision and susceptibility to local optima, improvements were made on the convergence factor, inertia weight and position update strategy. …”
Get full text

Advanced localization techniques for autonomous road vehicles: Integrating ultrasonic and beacon-based systems by D. N. Nithilam, B. Paulchamy

“…This research addresses the critical need for precise localization of autonomous road vehicles, essential for safe and efficient navigation in complex urban environments. …”
Get full text

A Review on Path Planning and Obstacle Avoidance Algorithms for Autonomous Mobile Robots by Anis Naema Atiyah Rafai, Noraziah Adzhar, Nor Izzati Jaini

“…A mobile robot could autonomously navigate in any environment, both static and dynamic. As a result, researchers in the robotics field have offered a variety of techniques. …”
Get full text

Intraoperative radiotherapy with a photonic radiosurgical system in the treatment of locally advanced rectal cancer by S. N. Potemin, I. B. Uvarov, D. S. Potemin

Get full text

An improved pelican optimization algorithm for function optimization and constrained engineering design problems by Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed

“…These modifications are intended to keep the algorithm from being locked in local optima. The developed algorithm named as IPOA was tested using widely recognized twenty-three benchmark functions with a variety of characteristics, a set of CEC2022 test suites, and five different engineering constrained problems. …”
Get full text

Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

“…Models were developed to classify women according to their vulnerability and risk of suffering various forms of violence, which were integrated into a decision-making tool for local authorities. The algorithms employed include K-means for clustering, artificial neural networks, random forests, decision trees, and multiclass classification algorithms combined with fuzzy classification techniques to handle the incomplete data. …”
Get full text

Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…The values of the weights and biases in ANN are updated according to inputs and outputs. Researchers have proposed algorithms to train Multi-Layer Perceptron (MLP). …”
Get full text