Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Ahmed Gouda Mohamed, Ali Hassan Ali, Ahmed Adel Abdelhady

“…Unlike previous studies that focus solely on single-algorithm applications, this research evaluates two metaheuristic optimization strategies—Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)—within a consistent problem setting. …”
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Optimal fractional order automatic generation control including an excitation system for hybrid interconnected grids by Awadh Ba Wazir, Sultan Alghamdi, Abdullah Ali Alhussainy, Abdulraheem H. Alobaidi, N. Gowtham

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Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation by Gabriel Mendonca, Rosa M. M. Leao, Edmundo De Souza E. Silva, Don Towsley

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Exploration of the Mountainous Urban Rail Transit Resilience Under Extreme Rainfalls: A Case Study in Chongqing, China by Chenhui Liu, Xue Su, Zhichun Wu, Yingjun Zhang, Cuizhu Zhou, Xiangguo Wu, Yong Huang

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Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building by Rina Bitar, Nicolas Youssef, Julien Chamoin, Fadi Hage Chehade, Didier Defer

“…This study examines multi-zone heating control, using a data-driven model for predictive indoor temperature modeling in intelligent buildings taking into account the influence of interconnected adjacent zones. The research methodology uses dynamic thermal simulation, parallel predictive models based on multiple linear regressions, and a multi-objective non-dominated sorting genetic algorithm II (NSGA-II) for the optimization process, which evaluates various generated heating strategies. …”
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Control of the servo motor using feedback linearization and artificial gorilla troops optimizer by Radiša Jovanović, Mitra Vesović

“…In the course of the research, an analysis of the nonlinear feedback linearizing controller and the up to date gorilla troops optimization algorithm are carried out. …”
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Modeling and Control of a 3DOF Robot Manipulator Using Artificial Fuzzy-Immune FOPID Controller by Worod Adris Shutnan, Nora Ahmed Mohammed, Faris Asaad Abdulmunem, Ali Hamzah Najim, Mustafa Yahya Hassan, Naglaa F. Soliman, Abeer D. Algarni

“…Two distinct controllers for a 3-DoF robotic manipulator are developed and evaluated in this research’s context of Industry. During the investigation, two primary control strategies are introduced. …”
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Optimizing the Scheduling of Teaching Activities in a Faculty by Francis Patrick Diallo, Cătălin Tudose

“…The system generates schedules that aim to be conflict-free and efficient, utilizing evolutionary algorithms along with multi-objective optimization. …”
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Approximation Results: Szász–Kantorovich Operators Enhanced by Frobenius–Euler–Type Polynomials by Nadeem Rao, Mohammad Farid, Mohd Raiz

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Spacecraft Pursuit Strategy and Numerical Solution Based on Survival Differential Strategy by WU Qichang, ZHANG Hongbo

“…By comparing the performances of the three optimization algorithms, the ant colony algorithm is a more effective algorithm for solving the initial value of the chasing game problem. …”
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Identification of Sound Power Levels and Surface Absorption Coefficients in Multi-Source Industrial Buildings by Using a Simplified Diffusion Model by Martín E. SEQUEIRA, Víctor H. CORTÍNEZ

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A hybrid slime mold enhanced convergent particle swarm optimizer for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Anil Parmar, Pradeep Jangir, Arpita, Bhargavi Indrajit Trivedi, G. Gulothungan, Ali Fayez Alkoradees, Reena Jangid, Mohammad Khishe

“…In this work, we propose a hybrid optimization algorithm, SCPSO, combining Particle Swarm Optimization with Mixed Mutant Slime Mold to improve precision, consistency, and computational efficiency in PEMFC parameter optimization. …”
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Furniture design based on cultural orientation: a thematic review by Wenhong Huang, Ahmad Rizal Abdul Rahman, Sarjit S. Gill, Raja Ahmad Azmeer Raja Ahmad Effendi

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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Method and results: This research established a pain recognition model based on AI skin potential (SP) signal analysis. …”
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The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks by Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman

“…The methods used in this research included Synthetic Minority Over-sampling Technique (SMOTE), SMOTE-Edited Nearest Neighbor (SMOTE-ENN), Adaptive Synthetic Sampling (ADASYN), and ADASYN-ENN, using five classification algorithms: Decision Tree, K-Nearest Neighbor (KNN), Naïve Bayes, Random Forest, and Support Vector Machine (SVM). …”
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Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method by Ying-Chun CHANG, Min-Chie CHIU, Ji-Lin XIE

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DEVELOPING A CONTROLLER FOR AN ADAPTIVE CRUISE CONTROL (ACC) SYSTEM: UTILIZING DEEP REINFORCEMENT LEARNING (DRL) APPROACH by Ali RIZEHVANDI, Shahram AZADI

“…By adapting speed in different traffic scenarios, the system contributes to averting potential accidents. This research delves into constructing a controller that utilizes the Deep Deterministic Policy Gradient (DDPG) algorithm and compares its outcomes with those from the DQN algorithm. …”
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Numerical thermodynamic-economic study and machine learning-based optimization of an innovative biogas-driven integrated power plant combined with sustainable liquid CO2 and liquid... by Ruijia Yuan, Fan Shi, Azher M. Abed, Mohamed Shaban, Sarminah Samad, Ahmad Almadhor, Barno Abdullaeva, Mouloud Aoudia, Salem Alkhalaf, Samah G. Babiker

“…Hence, a machine learning algorithm is implemented using artificial neural networks combined with the NSGA-II method for multi-criteria optimization, focusing on exergy efficiency, net present value, and products' sum unit cost as objective functions. …”
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Outpatient Testing for HIV in Italy, 2018–2023—Preliminary Data by Claudio Galli, Vincenza Regine, Anna Caraglia, Francesca Centrone, Maria Chironna, Gianluca Cruschelli, Massimo Farinella, Valentina Annachiara Orlando, Chiara Pasqualini, Monia Puglia, Lucia Pugliese, Laura Rancilio, Lara Tavoschi, Fabio Voller, Barbara Suligoi

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Aging Prediction of IGBT Based on Improved Support Vector Regression by Zhengxiong CHEN, Mahemuti PAZILAI, Wei SHEN

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