Optimization of a Heavy-Duty Hydrogen-Fueled Internal Combustion Engine Injector for Optimum Performance and Emission Level by Murat Ozkara, Mehmet Zafer Gul

“…This study presents a high-fidelity optimization framework that couples a validated computational fluid dynamics (CFD) combustion model with a surrogate-assisted multi-objective genetic algorithm (MOGA). …”
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Applications of Machine Learning Algorithms in Geriatrics by Adrian Stancu, Cosmina-Mihaela Rosca, Emilian Marian Iovanovici

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Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection by Amal H. Alharbi, Faris H. Rizk, Khaled Sh. Gaber, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Pushan Kumar Dutta, Doaa Sami Khafaga

“…This study proposes a novel hybrid framework for potato disease classification that integrates copula-based dependency modeling with a Restricted Boltzmann Machine (RBM), further enhanced through hyperparameter tuning using the biologically inspired Puma Optimization (PO) algorithm. The system is trained and evaluated on a real-world dataset derived from structured field experiments, comprising 52 instances and 42 agronomic, microbial, and ecological variables. …”
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Hybrid Metaheuristic Optimization of HVAC Energy Consumption and Thermal Comfort in an Office Building Using EnergyPlus by Reza Akraminejad, Tianyi Zhao, Yacine Rezgui, Ali Ghoroghi, Yousef Shahbazi Razlighi

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Systematic Review on Algorithmic Trading by David Jukl, Jan Lansky

“…Background: Algorithmic trading systems (ATS) are defined by the use of computational algorithms for automating financial transactions. …”
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A Novel Search Algorithm and Scan Time Estimation in Airborne Ground Penetrating Radar Using Cell Footprint Meshing by Morteza Kazerooni, Ehsan Shahroosvand

“…Precise computations of wave penetration and two-way travel time (TWT), factoring in stacking parameters and drone velocity, are integral to optimal cell design and comprehensive area coverage. …”
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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

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Carbon Dioxide Storage Site Location and Transport Assignment Optimization for Sustainable Maritime Transport by Yanmeng Tao, Ying Yang, Yuquan Du, Shuaian Wang

“…To enhance practical applicability, a two-stage planning framework is proposed, where the first stage selects storage sites, and the second employs a genetic algorithm (GA) for transport assignment. The GA-based solution achieves a total cost only 2.4% higher than the exact MIP model while reducing computational time by 57.9%. …”
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Exact Algorithms for the Satellite Image Selection Problem by Swat Sylwester, Antczak Maciej, Zok Tomasz, Blazewicz Jacek, Musial Jedrzej

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Hydrothermal Economic Dispatch Incorporating the Valve Point Effect in Thermal Units Solved by Heuristic Techniques by Katherine Hernández, Carlos Barrera-Singaña, Luis Tipán

“…This document explores short-term hydrothermal economic dispatch (HTED) while explicitly modeling the valve-point effect of thermal units as a factor that adds complexity to power system optimization. Two nature-inspired optimizers, the Bat Algorithm (BAT) and the Artificial Bee Colony (ABC) algorithm, were used on a 24 h horizon for nine unit power plants (five thermal, four hydro). …”
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Bearing Fault Diagnosis Based on IPOA-VMD and SSA-HKELM by Baoxian Chang, Xing Zhao, Dawei Guo, Siyu Zhao, Jiyou Fei, Hua Li, Xiaodong Liu

“…This study presents a novel fault diagnosis approach for rolling bearings that integrates the Improved Pelican Optimization Algorithm (IPOA) for optimizing Variational Mode Decomposition (VMD) and the Sparrow Search Algorithm (SSA) for optimizing the Hybrid Kernel Extreme Learning Machine (HKELM). …”
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ARMC-RL: Adaptive Caching With Reinforcement Learning for Efficient 360° Video Streaming in Edge Networks by Minji Choi, Somin Park, Jin-Hyun Ahn, Dong Ho Kim, Cheolwoo You

“…To address this, we propose an adaptive recency masking caching (ARMC) algorithm for 360° video streaming in MEC environments. …”
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The <i>Search-o-Sort</i> Theory by Anurag Dutta, Sanjeev Kumar, Deepkiran Munjal, Pijush Kanti Kumar

“…The analysis suggests theoretical pathways to reduce the computational complexity of sorting algorithms, thus enabling algorithmic development based on the proposed viewpoint.…”
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Application of High Efficiency and High Precision Network Algorithm in Thermal Capacity Design of Modular Permanent Magnet Fault-Tolerant Motor by Yunlong Yi, Sheng Ma, Bo Zhang, Wei Feng

“…Aiming at the problems of low thermal analysis efficiency and high computational cost of traditional computational fluid dynamics (CFD) methods for modular fault-tolerant permanent magnet synchronous motors (MFT-PMSMs) under complex working conditions, this paper proposes a fast modeling and calculation method of motor temperature field based on a high-efficiency and high-precision network algorithm. …”
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HFSA: hybrid feature selection approach to improve medical diagnostic system by Asmaa H. Rabie, Mohammed Aldawsari, Ahmed I. Saleh, M. S. Saraya, Metwally Rashad

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A Method for Predicting Trajectories of Concealed Targets via a Hybrid Decomposition and State Prediction Framework by Zhengpeng Yang, Jiyan Yu, Miao Liu, Tongxing Peng, Huaiyan Wang

“…The RBMO further refines critical parameters within the ISVMD-ELM pipeline, ensuring adaptability and computational efficiency across diverse scenarios. Experimental validation using real-world data demonstrates that the RBMO-ISVMD-ELM approach surpasses state-of-the-art algorithms in both accuracy and robustness when predicting the trajectories of concealed ground targets, achieving optimal performance metrics under demanding conditions.…”
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Analytical Device and Prediction Method for Urine Component Concentrations by Zhe Wang, Jianbang Huang, Qimeng Chen, Yuanhua Yu, Xuan Yu, Yue Zhao, Yan Wang, Chunxiang Shi, Zizhao Zhao, Dachun Tang

“…To tackle the low-accuracy problem with analyzing urine component concentrations in real time, a fully automated dipstick analysis device of urine dry chemistry was designed, and a prediction method combining an image acquisition system with a whale optimization algorithm (WOA) for BP neural network optimization was proposed. …”
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Construction of an Adaptive Motion Control System Optimal Information Exchange Scheme for a Group of Unmanned Aerial Vehicles by Leonid Nikolaevich Kazakov, Evgeniy Pavlovich Kubyshkin, Dmitry Ezrovich Paley

“…The movement of the UAV group is carried out in accordance with the adaptive algorithm for optimal control. Optimal controls are constructed to provide a minimum of the total energy expended. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

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Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

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