Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems by S. Isaac, C. Kadurumba, H. Ugwu, F. Abam

“…This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. …”
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Design and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problem by Peyman Rabiei, Daniel Arias-Aranda

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Estimation and Assessment of Partial Shading Patterns in Large PV Farms Using ANN Algorithm by Efendi S Wirateruna, Mochamad Ashari, Dedet Candra Riawan

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Application of Improved Whale Algorithm to Optimize Dephosphorization Process Parameters in Converter Steelmaking by Congrui Wu, Yueping Kong

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Multi-Stage Coordinated Planning Method for Transmission Network and Energy Storage Considering Carbon Trading Cost by Qiang LI, Yao WANG, Yingying HU, Xiaoming ZHENG, Linna ZHANG, Yongming JING

“…Then, a multi-stage coordinated distributed robust programming model for transmission and storage is established with comprehensive objectives of transmission line investment cost, energy storage investment cost, operation cost, and carbon trading cost. …”
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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

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A data-driven cost estimation model for agile development based on Kolmogorov-Arnold Networks and AdamW optimization by Xiaoyan Zhao, Xin Xiong, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Liangyu Li

Subjects: “…Cost estimation…”
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Energy-Efficient DC Power Traction Network Systems for Urban Mass Transportation: A Comparative Study of Optimization Algorithms by Dongxian Yu, Zhixin Wu, Lei Wang, Zaihui Cao, Hamdolah Aliev

“…This paper addresses the optimal design and simulation of a direct current (DC) power-pulling network system (PTNS) for metro systems, to minimize costs and energy consumption while ensuring adequate power supply capacity (PSC). …”
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Optimizing Transportation Costs: Enhancing Logistics Efficiency and Resource Utilization in Dynamic Environments by Cao Ngoc Anh, Tran Bich Thao, Tran Ba Hung, Trinh Thu Huong, Nguyen Viet Hung

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Enhancing Railway Earthquake Early Warning Systems with a Low Computational Cost STA/LTA-Based S-Wave Detection Method by Satoshi Katakami, Naoyasu Iwata

“…To enhance real-time S-wave detection in the railway earthquake early warning (EEW) system, we improved the existing short-term average/long-term average (STA/LTA) algorithm. This enhancement focused on developing a more robust and computationally efficient method. …”
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Enhanced FFT–Root<tt>–</tt>MUSIC Algorithm Based on Signal Reconstruction via CEEMD<tt>–</tt>SVD for Joint Range and Velocity Estimation for FMCW Radar by Jiaxin Cao, Huiyue Yi, Wuxiong Zhang, Hui Xu

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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The FATA algorithm is evaluated against recently developed and improved optimization techniques, such as rime-ice formation phenomenon based Improved RIME (IRIME) Algorithm, Newton–Raphson-Based Optimization (NRBO), Resistance Capacitance Algorithm (RCA), Krill Optimization Algorithm (KOA), and Grey Wolf Optimizer (GWO), across multiple optimization objectives: reduction in generation cost, reduction in power loss and combined generation cost plus power loss, termed as Gross cost function. …”
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Cost Optimization of AC Microgrids in Grid-Connected and Isolated Modes Using a Population-Based Genetic Algorithm for Energy Management of Distributed Wind Turbines by Luis Fernando Grisales-Noreña, Héctor Pinto Vega, Oscar Danilo Montoya, Vanessa Botero-Gómez, Daniel Sanin-Villa

“…The study seeks to identify the most efficient algorithm for minimizing operational expenses in distributed generation systems, specifically in terms of energy production and purchasing costs, as well as the maintenance costs of DGs. …”
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CÁLCULO DE APROXIMACIÓN A LA RAIZ CUADRADA CON EL MÉTODO BABILÓNICO USANDO TRES PARADIGMAS DE PROGRAMACIÓN by Omar Iván Trejos Buriticá, Luis Eduardo Muñoz Guerrero

Subjects: “…algorithm…”
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Optimizing Cold Chain Logistics with Artificial Intelligence of Things (AIoT): A Model for Reducing Operational and Transportation Costs by Hamed Nozari, Maryam Rahmaty, Parvaneh Zeraati Foukolaei, Hossien Movahed, Mahmonir Bayanati

“…As a result of using the Internet of Things, total costs have been reduced by 2.78%. Furthermore, the performance of AI algorithms showed that the high speed of these algorithms is guaranteed against the high accuracy of the obtained results. …”
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Reliability and Quality of Complex Systems by V.N. Klyachkin, V.O. Tashnichenko

Subjects: “…hotelling algorithm…”

Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…Finally, experiments validated the TSFBI algorithm, showing its potential for smart manufacturing.…”
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Predictive analysis of root canal morphology in relation to root canal treatment failures: a retrospective study by Mohmed Isaqali Karobari, Vishnu Priya Veeraraghavan, P. J. Nagarathna, Sudhir Rama Varma, Jayaraj Kodangattil Narayanan, Santosh R. Patil

“…BackgroundFailure of root canal treatment (RCT) significantly affects patient outcomes and dental practice. …”
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Soil Moisture Prediction Using Remote Sensing and Machine Learning Algorithms: A Review on Progress, Challenges, and Opportunities by Manoj Lamichhane, Sushant Mehan, Kyle R. Mankin

“…We reviewed the literature to extract and synthesize ML algorithms, reliable input features, and challenges in SM estimation using RS data. …”
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Optimization of Offshore Wind and Wave Energy Co-Generation System Based on Improved Seagull Optimization Algorithm by Xiaoshi Zhuang, Honglue Wan, Dongran Song, Xinyu Fan, Yuchen Wang, Qian Huang, Jian Yang

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