Planning and Evaluation of Water-Dropping Strategy for Fixed-Wing Fire Extinguisher Based on Multi-Resolution Modeling by Xiyu Wang, Yuanbo Xue, Yongliang Tian, Hu Liu, Zhiyong Cai

“…The formulation of the planning algorithm and the structure of the effectiveness evaluation index system are explained accordingly. …”
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Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model by Guigeng Li, Zhaoqiang Wei, Yujie Chen, Xiaoxia Meng, Hao Zhang

“…In this paper, the Weather Research and Forecasting (WRF) model is employed to simulate the ocean dynamic parameters within the radar detection area. …”
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A Target Detection Model Based on Improved Tiny-Yolov3 Under the Environment of Mining Truck by Dong Xiao, Feng Shan, Ze Li, Ba Tuan Le, Xiwen Liu, Xuerao Li

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Towards a New Taxonomy of Pattern-Making in the Visuo-Spatial Domain in Early Childhood Based on Zygonic Theory and the Sounds of Intent Framework of Musical Development by Adam Ockelford, Sarah McCarthy, Sue Gifford, Helen Thouless, Sharon Kirk, Michael Thorpe

“…As a future step, exploratory research with children is suggested to test these assumptions and further develop our understanding of the perception of patterns within and between the domains. …”
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Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning by Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy

“…Such accurate forecasting supports policymakers and other industry stakeholders make marketing decisions to reduce environmental impacts and optimize resource utilization. In this research, a novel Greylag Goose Optimization (GGO) algorithm is integrated with a Multi-Layer Perceptron (MLP) model to improve $$\hbox {CO}_2$$ emissions prediction. …”
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Enhanced path planning for robot navigation in Gaussian noise environments with YOLO v10 and depth deterministic strategies by Feng Xiao, Shiwei Chu, Xing Guo, Youhai Zhang, Rubing Huang

“…Recognition accuracy is optimized using cross entropy loss function. The DDPG algorithm is applied to update the path planning strategy, define the state space of robot position, velocity, and Laser Radar (LiDAR) readings, and output possible movement directions and velocities as action outputs. …”
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Diagnosing cystic fibrosis in low- and middle-income countries: challenges and strategies by Michèle Fuhrer, Marco Zampoli, Hugues Abriel

“…It will be important to consider how to implement these options and adjust the diagnostic algorithm to meet the needs of low- and middle-income countries. …”
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Artificial Intelligence in Glioblastoma—Transforming Diagnosis and Treatment by Alen Rončević, Nenad Koruga, Anamarija Soldo Koruga, Robert Rončević

“…Limited data quality and quantity, algorithm interpretability, integration problems, and ethical considerations, remain significant challenges to clinical implementation. …”
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Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials by Ahmed Farid Ibrahim, Mohamed Abdrabou Hussein

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Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks by V. Niranjani, Anandakumar Haldorai

“…The problems addressed in existing research work are high in energy conservation. To overcome this issue, this paper proposed a model of Empirical Mode Decomposition with CNN and optimized with Seagull Optimization Algorithm (EMD-CNN-SOA). …”
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Multi-Factor Modeling Method of the Load Sharing Ratio under Moving Train Loads by Yong Liu, Shiyu Zhang, Yang Jin, Yuxiang Song

“…The LSR can be used in the design and analysis of railway track structures as well as in the research of predicting the dynamic influence of railway tunnels and the environment. …”
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Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

“…Surrogate modeling may mitigate this issue to a certain extent, yet dimensionality and parameter range issues severely impede the construction of accurate metamodels. This research suggests an innovative algorithm for global parameter adjustment of antenna systems. …”
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Intensive therapy of severe complications of influenza by V. I. Kozhokaru, Yu. V. Lobzin, D. I. Kozhokaru

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Precise Pre-Close Wind Volume Calculation for Aluminum Electrolysis Based on Unscented Kalman and Average Filters by Jiawei Zhao, Mengfan Wang, Xue Hu, Lixin Zhang

“…First, the Unscented Kalman Filter (UKF) algorithm was used to estimate the aluminum output speed, and its application in real production was verified through simulation experiments. …”
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Human Action Recognition from Videos Using Motion History Mapping and Orientation Based Three-Dimensional Convolutional Neural Network Approach by Ishita Arora, M. Gangadharappa

“…Human Activity Recognition (HAR) has recently attracted the attention of researchers. Human behavior and human intention are driving the intensification of HAR research rapidly. …”
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Performance evaluation of an optimized simplified nonlinear active disturbance rejection controller for rotor current control of DFIG-based wind energy system by Ahmed Sobhy, Medhat Hegazy Elfar, Ahmed Refaat, Mahmoud Fawzi

“…To address these challenges, an optimized simplified nonlinear active disturbance rejection (SNADR) control strategy, enhanced through the Particle Swarm Optimization (PSO) algorithm for parameter tuning, is proposed. This research fills a critical gap in the selection of parameters for SNADR controllers, which are usually tuned by trial and error. …”
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Analysis and Implementation of the Crowbar Clamping Circuit for Surge Voltage Reduction in the DC Solid-State Circuit Breaker by Phanit Sok, Sung-Geun Song, Feel-Soon Kang

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Volcanic Facies From Probabilistic Multi‐Physics Characterization of an Andesite Island Volcano, Whakaari/White Island, New Zealand by C. A. Miller, F. Caratori Tontini

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Voltage Support Capacity Improvement for Wind Farms with Reactive Power Substitution Control by Yuegong Li, Guorong Zhu, Jianghua Lu, Hua Geng

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Urban Mobility Choices of University Students: Insights into Satisfaction Levels and Preferences in the Thessaloniki Metropolitan Area by Efstathios Bouhouras, Thomas Dimos, Dimitrios Mastoras, Socrates Basbas

“…Through a comparative analysis of the data, we discerned attributes influencing participants’ transportation choices. Our research contributes to the literature by applying a standardized methodology using an algorithm developed by the European Commission; the satisfaction levels among university students for private car and public transport in those years were determined. …”
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