A Method of Spatial Processing for a Railway Crossing Control Radar System by A. A. Kuzin, A. V. Miakinkov, K. S. Fomina, S. A. Shabalin

“…A method for constructing a filled transceiver antenna array and a beamforming algorithm, which provide high angular resolution and unambiguous measurement of the target's angular coordinates in a wide field of view with relatively low computational complexity, was developed. …”
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Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster by Peng Gao, Zhuofu Deng, Xianglong Qi, Guofeng Yao, Xin Wang, Yang Gao

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A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis by Fatima Hasan Al-bakri, Wan Mohd Yaakob Wan Bejuri, Mohamed Nasser Al-Andoli, Raja Rina Raja Ikram, Hui Min Khor, Zulkifli Tahir, The Alzheimer’s Disease Neuroimaging Initiative

“…<b>Conclusions:</b> This research presents a step toward more transparent AI-driven diagnostics, bridging the gap between accuracy and explainability in XAI.…”
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Cloud-edge cooperative optimization scheduling strategy of metro integrated supervision and control system based on edge computing by Yang Wang, Shusong Yang, Wei Zhang, Jiandi Jiang, Zetian Bai, Haojie Yang, Hui Fang

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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…In the course of the research, a mathematical model for forecasting the failure rate of onboard equipment is developed and tested, designed to solve the problems of optimizing decision-making processes for maintenance on the basis of reliability assessment of aviation equipment. …”
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Biomarkers associated with cell-in-cell structure in kidney renal clear cell carcinoma based on transcriptome sequencing by Zehua Wang, Zhongxiao Zhang

“…Conclusion This study provides new biomarkers for KIRC, offering valuable insights into its developmental mechanisms for the research of CIC in this disease.…”
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Technical study on the efficiency and models of weed control methods using unmanned ground vehicles: A review by Evans K. Wiafe, Kelvin Betitame, Billy G. Ram, Xin Sun

“…Also, there is a shift from using traditional machine learning (ML) algorithms to deep learning neural networks, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), for weed detection algorithm development due to their potential to work in complex environments. …”
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Integration of acoustic, optical, and electrical methods in picoliter droplet microfluidics for rare particles enrichment by Huasheng Zhuo, Chunhua He, Canfeng Yang, Xian Jiang, Fan Li, Xiangliang Yang, Hai Yang, Tuying Yong, Zhiyong Liu, Yan Ma, Lei Nie, Guanglan Liao, Tielin Shi

“…The optical fibers with an enhanced detection algorithm greatly boost optical detection sensitivity. …”
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A robust and accurate feature matching method for multi-modal geographic images spatial registration by Kai Ren, Weiwei Sun, Xiangchao Meng, Gang Yang, Jiangtao Peng, Binjie Chen, Jiancheng Li

“…While the current research has achieved satisfactory results for the registration of single mode data, there has always been a significant challenge in the registration of multi-modal images due to the obvious nonlinear radiation differences caused by different imaging mechanisms and imaging time. …”
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Trajectories of change in body mass index during inpatient treatment for severe anorexia nervosa during adolescence: predictive factors and hospitalization outcomes by Anna Potyrcha, Aminata Ali, Benjamin Carrot, France Hirot, Nathalie Godart

“…To analyse the data, we examined trajectories of change in BMI, using a clustering algorithm: k-means for longitudinal data. Results We chose a four-trajectory model. …”
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Cost-Effective Autonomous Drone Navigation Using Reinforcement Learning: Simulation and Real-World Validation by Tomasz Czarnecki, Marek Stawowy, Adam Kadłubowski

“…A vital component of this approach is creating a multi-stage training environment that accurately replicates actual flight conditions and progressively increases the complexity of scenarios, ensuring a robust evaluation of algorithm performance. This research also introduces a new approach to optimizing system cost and accessibility. …”
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AI-Driven Ensemble Classifier for Jamming Attack Detection in VANETs to Enhance Security in Smart Cities by Walid El-Shafai, Ahmad Taher Azar, Saim Ahmed

“…This emerging threat highlights a critical research gap in the development of sophisticated, AI-driven security solutions for VANETs. …”
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Scenario Modelling for Reproducing Investment Potential of Institutional Sectors in the Regions of the Siberian Federal District by I. V. Naumov, A. V. Trynov, A. O. Safonov

“…The authors developed an algorithm of scenario modelling for reproducing investment potential of institutional sectors in regional systems. …”
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Text Analysis of Digital Commentary on Ice and Snow Tourism Based on Artificial Intelligence and Long Short-Term Memory Neural Network by Qi Zhuang, Zhengjie Chu, Jun Li

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Optimizing power generation in a hybrid solar wind energy system using a DFIG-based control approach by Muhammad Salman, Syed Abdul Rahman Kashif, Muhammad Salman Fakhar, Akhtar Rasool, Abdulkerim Sherefa Hussen

“…The hybrid Indirect Speed Controller MPPT algorithms are utilized for step-up and step-down wind speeds. …”
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Bayesian optimization of underground railway tunnels using a surrogate model by Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço, Jelena Ninić

“…The validation and optimization algorithms are evaluated for two problems: underground railway tunnels with circular and rectangular cross-sections, both embedded in a homogenous full-space medium. …”
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Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model by Daisuke Ichimura, Makoto Sawada, Kenji Wada, Ritsuko Hanajima

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Using individual tractor wheel drive through electric traction by А. V. Bizhaev, S. M. Vetrova, A. S. Barchukova, N. S. Krivyh

“…(Materials and methods) A concept for controlling individual wheel drives has been developed, as well as an algorithm specifically for managing electric wheels. …”
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Efficiency and Validity of the AI-Based rGMFM-66 in Assessing Gross Motor Function in Children with Cerebral Palsy by Stefanie Steven, Karoline Spiess, Leonie Schafmeyer, Jonathan Buggisch, Eckhard Schoenau, Kerstin Luedtke, Ibrahim Duran

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Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

“…The second phase employed the same algorithms alongside sequential ensemble methods—XG Boost, AdaBoostM1, and Gradient Boosting—using an average voting algorithm for binary classification. …”
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