Multi-objective optimization of urban block configuration to enhance outdoor thermal comfort: A case study of district 12, Tehran by Mozhgan Mousaeipour, Haniyeh Sanaieian, Mohsen Faizi, Ainaz Alafchi, S. M. Amin Hosseini

“…Urban block configuration significantly impacts outdoor thermal comfort (OTC). While many studies have examined the effects of individual variables such as building orientation and the height-to-width ratio (H/W) on OTC, there has been limited systematic optimization of multiple configuration variables simultaneously. …”
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Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data by Ali Asghar Zolfaghari, Maryam Raeesi, Giuseppe Longo-Minnolo, Simona Consoli, Miles Dyck

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Comparative assessment of machine learning algorithms for retrieving colored dissolved organic matter (CDOM) from Sentinel-2/MSI images in the coastal waters of the Persian Gulf by Bonyad Ahmadi, Mehdi Gholamalifard, Seyed Mahmoud Ghasempouri, Tiit Kutser

“…Initial CDOM retrieval algorithms yielded suboptimal accuracy (MAE = 1.16, RMSLE = 1.2). …”
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Two-step skeletization of binary images based on the Zhang-Suen model and the producing mask by J., Ma, V. Yu. Tsviatkou, V. K. Kanapelka

“…To ensure resistance to contour noise, skeletonization algorithms are built on the basis of several steps. …”
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Comparison of manual and semi-automated algorithm for measuring architectural features during different isometric knee extension intensities: a reliability and comparative study in... by Micheal J. Luera, Micheal J. Luera, JoCarol E. Shields, Emma Bozarth, Rob J. MacLennan, Rob J. MacLennan, Natalie P. Walker, Jesus A. Hernandez-Sarabia, Jesus A. Hernandez-Sarabia, Carlos A. Estrada, Jason M. DeFreitas, Scott K. Crawford, Scott K. Crawford, Scott K. Crawford

“…Alternatives to manual processing have been proposed that expedite the evaluation of muscle architecture and afford more consistency. While using algorithms has provided dependable results of muscle architecture, it has often focused on variables of passive range of motion and submaximal contractions. …”
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Optimization of strutted beam parameters by A. K. Yusupov, H. M. Musеlеmov, T. O. Ustarhanov

“…An algorithm is constructed that can be used to design single-strut beams. …”
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Green Technology Game and Data-Driven Parameter Identification in the Digital Economy by Xiaofeng Li, Qun Zhao

“…A three-dimensional nonlinear dynamic system is constructed using replicator dynamics, and the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is applied to identify key cost and benefit parameters for firms. …”
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Optimal Placement of Photovoltaic Distributed Generation Units in Radial Unbalanced Distribution Systems Using MATLAB and OpenDSS-Based Cosimulation and a Proposed Metaheuristic Al... by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…In this paper, an improved slime mould algorithm (ISMA) is proposed for finding the optimal location and sizing of photovoltaic distributed generation units (PVDGUs) in unbalanced distribution systems (UDSs). …”
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Reliability Analysis of High-Pressure Tunnel System Under Multiple Failure Modes Based on Improved Sparrow Search Algorithm–Kriging–Monte Carlo Simulation Method by Yingdong Wang, Chen Xing, Leihua Yao

“…It is often difficult for a structural safety design method based on deterministic analysis to fully and reasonably reflect the randomness of mechanical parameters, while the traditional reliability analysis method has a large calculation cost and low accuracy. …”
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Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…Abstract This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. …”
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Enhanced energy-efficient cluster-based routing with spotted hyena optimization in heterogeneous WSNs by Ved Prakash, Suman Pandey, Biswa Mohan Sahoo

“…Abstract Wireless sensor networks (WSNs) are crucial in many applications; hence, it is important to have routing algorithms that are energy-efficient in order to extend the lifespan of the network. …”
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BOOTSTRAP METHODS FOR INVESTIGATING THE ROCK MASS ZONAL FRACTURE AROUND UNDERGROUND WORKINGS by A. S. Losev

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Robust Path Tracking Control with Lateral Dynamics Optimization: A Focus on Sideslip Reduction and Yaw Rate Stability Using Linear Quadratic Regulator and Genetic Algorithms by Karrar Y. A. Al-bayati, Ali Mahmood, Róbert Szabolcsi

“…Currently, one of the most important challenges facing autonomous vehicles’ development due to varying driving conditions is effective path tracking while considering lateral stability. To address this issue, this study proposes the optimization of the linear quadratic regulator (LQR) control system by using the genetic algorithm (GA) to support the vehicle in following the predefined path accurately, minimizing the sideslip, and stabilizing the vehicle’s yaw rate. …”
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An Adaptive Scheduling Method for Standalone Microgrids Based on Deep Q-Network and Particle Swarm Optimization by Borui Zhang, Bo Liu

“…Simulation results demonstrate that, under typical daily, high-volatility, and low-load scenarios, the proposed method improves clean energy utilization by 3.2%, 4.5%, and 10.9%, respectively, compared to conventional PSO algorithms while reducing power supply reliability risks to 0.70%, 1.04%, and 0.30%, respectively. …”
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To Be competitive or not to be competitive: How performance goals shape human-AI and human-human collaboration by Spatola Nicolas

“…While these tools are used in both private and work contexts, less is known about how the motivational context surrounding algorithm use impacts reliance patterns. …”
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An Integrated Capacity Allocation and Dynamic Pricing Model Designed for Air Cargo Transportation by Dilhan İlgün Ayhan, S. Emre Alptekin

“…In this study, CVaR and ANN models are used for capacity allocation, regression, and time series, and ANN models are used for demand forecasting, while the SARSA algorithm, one of the reinforcement learning algorithms, is used for dynamic pricing. …”
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Distributed Task Allocation for UAV Swarms with Limited Communication by Asım Egemen Yılmaz, Mutullah Eşer

“…Task allocation, a crucial aspect of UAV swarm autonomy, involves assigning sequential tasks to each aircraft based on environmental constraints and swarm status. While many task allocation algorithms assume reliable communication among agents, real-world environments often present challenges such as limited bandwidth and message interference. …”
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A Fish Target Identification and Counting Method Based on DIDSON Sonar and YOLOv5 Model by Wei Shen, Mengqi Liu, Quanshui Lu, Zhaowei Yin, Jin Zhang

“…This study is based on YOLOv5, which trains a recognition model by identifying fish targets in each frame of DIDSON images and uses the DeepSort algorithm to track and count fish targets. Field data collection was conducted at Chenhang Reservoir in Shanghai, and this method was used to process and verify the results. …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. …”
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The Bayesian Gaussian mixture model with nearest-neighbor distance (BGMM-NND) algorithm: A new earthquake clustering method and its application to the Sichuan–Yunnan Block by JieYi Hou, Feng Hu, Yang Zang, LingYuan Meng

“…By integrating cumulative probability and BGMM with principal component analysis (PCA), the BGMM-NND algorithm effectively distinguishes between background and triggered earthquakes while maintaining the magnitude component and resolving the issue of excessively large spatial cluster domains. …”
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