Nonlinear Model Predictive Control Energy Management Strategy for Hybrid Power Ships Based on Working Condition Identification by Yucheng Yan, Zhichao Chen, Diju Gao

“…The development of pattern recognition technology provides new research ideas for the rational allocation and utilization of energy in hybrid power ships. …”
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3-D Trajectory Optimization for Fixed-Wing UAV-Enabled Wireless Network by Alessandro Visintini, Tharindu D. Ponnimbaduge Perera, Dushantha Nalin K. Jayakody

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Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea by Cheol-Hwan You, Dong-In Lee, Mi-Young Kang

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Estimation of Vehicle Mass and Road Slope for Commercial Vehicles Utilizing an Interacting Multiple-Model Filter Method Under Complex Road Conditions by Gang Liu

“…Consequently, the weights assigned by the IMM filter enable the algorithm to adaptively select the most suitable vehicle model, leading to more accurate slope estimates under complex conditions compared to single-model-based algorithms. …”
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Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson’s Disease by Noore Zahra

“…Since the last two decades, automated methods for monitoring motor activities, their data analysis, and algorithm techniques have been subjects of research for Parkinson’s disease (PD). …”
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Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System by Chengzhen JIA, Lingmei WANG, Enlong MENG, Derong YANG, Dongjie GUO, Yushan LIU

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A Multi-Source Data-Driven Analysis of Building Functional Classification and Its Relationship with Population Distribution by Dongfeng Ren, Xin Qiu, Zehua An

“…Buildings, as key factors influencing population distribution, have various functional attributes. Existing research mainly focuses on the relationship between land functions and population distribution at the macro scale, while neglecting the finer-grained, micro-scale impact of building functionality on population distribution. …”
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Out-of-step detection for synchronous generators using electrical power analysis and Durbin Watson testing by R. A. Mahmoud, E. S. Elwakil

“…As a consequence, the OOS is rapidly announced before the second pole-slipping occurrence. Furthermore, the algorithm is robust during the stable power swings, and the property of the protection redundancy is provided in this strategy. …”
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Transmission of systemic Risk between the banking systems of Asia-Pacific Countries and Russia by S. A. Dzuba, V. S. Tishkovetz, M. A. Shchepeleva

“…The subject of this research is systemic risk transmission between financial sectors in the international financial market.The purpose of our paper is to determine topology characteristics for the network connecting banking systems in the Asia-Pacific region (APR) and Russia. …”
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TARNet: An Efficient and Lightweight Trajectory-Based Air-Writing Recognition Model Using a CNN and LSTM Network by Md. Shahinur Alam, Ki-Chul Kwon, Shariar Md Imtiaz, Md Biddut Hossain, Bong-Gyun Kang, Nam Kim

“…This research proposes a unified, lightweight, and general-purpose deep learning algorithm for a trajectory-based air-writing recognition network (TARNet). …”
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Comparative Analysis of Reinforcement Learning Approaches for Multi-Objective Optimization in Residential Hybrid Energy Systems by Yang Xu, Yanxue Li, Weijun Gao

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The promise of open survey questions-The validation of text-based job satisfaction measures. by Indy Wijngaards, Martijn Burger, Job van Exel

“…As yet, there is a lack of research into using CATA to analyze responses to open survey questions and constructing text-based measures of psychological constructs. …”
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Rail surface identification and adhesion control based on dynamic adhesion characteristics by Wen Liu, Hongfeng Qi, Jingchun Huang, Yiyuan Chen, Sheng He, Haoxiang Feng

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An IoT and Machine Learning-based Neonatal Sleep Stage Classification by Awais Abbas, Hafiz Sheraz Sheikh, SaadUllah Farooq Abbasi

“…To address this issue, over the past two decades, researchers proposed multiple algorithms for automatic sleep stage classification. …”
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CHARACTERISTICS OF TREATMENT OF PATIENTS WITH ACUTE AND CHRONIC LARYNGITIS DEPENDING ON RESULTS OF BACTERIOLOGICAL EXAMINATION OF LARYNX MICROFLORA by K. I. Chuikova, T. N. Zaripova, V. I. Mukhina

“…This paper describes study of larynx microflora in patients with acute laryngtis and exacerbations of chronic laryngitis. Therapeutic algorithm based on bacteriologic examination data was developed reduce. …”
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Sentiment Analysis using Support Vector Machine and Random Forest by Talha Ahmed Khan, Rehan Sadiq, Zeeshan Shahid, Muhammad Mansoor Alam, Mazliham Bin Mohd Su'ud

“…The Random Forest algorithm achieved an accuracy of 0.78564, while SVM outperformed it slightly with an accuracy of 0.80394. …”
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Deep Learning-Based Signal Constellation for OFDM Underwater Acoustic Communications by Ammar E. Abdelkareem, Majid Dherar Younus, Emad A. Al-Sabawi

“…The most prominent finding from this research is that even with zero cyclic prefix (CP) and a few pilot samples Np, inserted ahead of N subcarriers, the proposed signal constellation algorithm based on supervised DL attains a stable profile. …”
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A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction by Ming Zhang, Qingzhong Gao, Baoliang Liu, Chen Zhang, Guangkai Zhou

“…The simulation modeling was carried out using the MATLAB R2022b software, and the effectiveness of the hybrid model in the single-phase grounding fault location of multi-branch mixed collector lines was studied and verified. The research results show that, compared with the random forest algorithm, decision tree algorithm, CNN, and LSTM neural network, the proposed method significantly improved the location accuracy and is more suitable for the fault distance measurement requirements of collector lines in the complex environments of wind farms. …”
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Deep learning-based detection and evaluation of building changes in rail transit protection zones by Cai Jia, Long Zhao, Chengyang Qian, Yu Zhang, Zini Cao, Xiaoqiang Zhu

“…Rapid urbanization in China exacerbates risks to rail transit protection zones, necessitating high-precision building change detection. Existing research primarily focuses on algorithm optimization and overlooks the construction of scene-specific datasets. …”
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Short-Term Bus Passenger Demand Prediction Based on Time Series Model and Interactive Multiple Model Approach by Rui Xue, Daniel (Jian) Sun, Shukai Chen

“…Although bus passenger demand prediction has attracted increased attention during recent years, limited research has been conducted in the context of short-term passenger demand forecasting. …”
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