The Impacts of Heatwaves on Population Distribution in the Subtropical City: A Case Study of Nanchang, China by Zixun Chen, Zongcai Wei

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Non-invasive blood glucose level monitoring using antennas: a comprehensive review report by Nidhi Upadhyay, Amanpreet Kaur, Arnab Pattanayak, Ashima Singh

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Free Vibration Analysis of Cross-Ply Laminated Conical Shell, Cylindrical Shell, and Annular Plate with Variable Thickness Using the Haar Wavelet Discretization Method by Jangsu Kim, Kwanghun Kim, Kwangil Kim, Kwonryong Hong, Chonghyok Paek

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Efficient Support Vector Regression for Wideband DOA Estimation Using a Genetic Algorithm by Yonghong Zhao, Gang Zheng, Junlong Wang, Jisong Liu, Shuxin Dong, Jing Xin

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An Automated Compliance Framework for Critical Infrastructure Security Through Artificial Intelligence by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Rafi Us Shan

“…Unlike other traditional methods such as rule-based that relay on predefined criteria. …”
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A few-shot learning-based dual-input neural network for complex spectrogram recognition system with millimeter-wave radar by Kaiyu Chen, Shaoxi Wang, Wei Li, Yucheng Wang, Cunqian Feng, Yannian Zhou, Jian Cao, Binfeng Zong, Minming Gu

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Automatic detection for a comprehensive view of Mayotte seismicity by Retailleau, Lise, Saurel, Jean-Marie, Laporte, Marine, Lavayssière, Aude, Ferrazzini, Valérie, Zhu, Weiqiang, Beroza, Gregory C., Satriano, Claudio, Komorowski, Jean-Christophe, OVPF Team

“…In response to this activity, a network of stations was deployed on Mayotte over the past three years. We used the machine learning-based method PhaseNet to re-analyze the seismicity recorded on land since March 2019. …”
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Reduced-Order Modeling and Stability Analysis of Grid-Following and Grid-Forming Hybrid Renewable Energy Plants by Yue Ma, Ning Chen, Luming Ge

“…By contrast, the grid-forming control method exhibits synchronous machine characteristics, providing voltage support to the system, but potentially introducing stability risks under strong grid conditions. …”
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Rotor Eccentricity Affecting the Performance of U-shaped  Singlephase Permanent Magnet Synchronous Motor by FU Min, YU Jing, ZHANG Han, SHEN Lei

“…On the basis of the virtual work method and the Maxwell stress tensor method, the variation of electromagnetic torque, radial and tangential electromagnetic force densities in stator side were calculated when static eccentric and dynamic eccentric occurred in rotor. …”
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A hybrid AI-Blockchain security framework for smart grids by Yazeed Yasin Ghadi, Tehseen Mazhar, Tariq Shahzad, Ines Hilali Jaghdam, Sanwar khan, Muhammad Amir Khan, Habib Hamam

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A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems by Cornelius Rüther, Julia Rieck

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Escalate Prognosis of Parkinson’s Disease Employing Wavelet Features and Artificial Intelligence from Vowel Phonation by Rumana Islam, Mohammed Tarique

“…The extracted audio features include baseline features, intensities, formant frequencies, bandwidths, vocal fold parameters, and Mel-frequency cepstral coefficients (MFCCs) to form a feature vector. …”
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Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients by Shuyun Xiong, Dongxu Si, Meizhu Ding, Cuiying Tang, Jinling Zhu, Danni Li, Ying Lei, Lexian Huang, Xiaohua Chen, Jicai Chen

“…Methods A total of 807 non-psychiatric elderly inpatients aged over 60 were assessed using demographic and clinical data, and SI was measured using the Patient Health Questionnaire-9 (PHQ-9). …”
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Interpolation Theory and Artificial Intelligence: A Roadmap for Satellite Data Augmentation by Isabella Mereu, Mariarosaria Natale, Michele Piconi, Alessio Troiani, Vincenzo Suriani, Domenico Daniele Bloisi, Paolo Burghignoli, Danilo Costarelli, Alessandro Veneri, Davide Comite

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MEMS and IoT in HAR: Effective Monitoring for the Health of Older People by Luigi Bibbò, Giovanni Angiulli, Filippo Laganà, Danilo Pratticò, Francesco Cotroneo, Fabio La Foresta, Mario Versaci

“…The implemented system allows these movements to be detected in real time, and transmitted to a monitoring system server, where healthcare staff can analyze the data. The analysis methods employed include machine learning algorithms to identify movement patterns, statistical analysis to assess the frequency and quality of movements, and data visualization to track changes over time. …”
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Predicting algorithm of attC site based on combination optimization strategy by Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Mengying Qin, Ke Bai, Zhiqiang He, Yurong Yang, Xiaofeng Li, Qionghai Dai

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Optimized Coupling Coil Geometry for High Wireless Power Transfer Efficiency in Mobile Devices by Fahad M. Alotaibi

“…Addressing these challenges involves designing coil geometries that operate at lower resonant frequencies to strengthen magnetic coupling and decrease resistance. …”
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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

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Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

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A Multi-Feature Fusion Approach for Road Surface Recognition Leveraging Millimeter-Wave Radar by Zhimin Qiu, Jinju Shao, Dong Guo, Xuehao Yin, Zhipeng Zhai, Zhibing Duan, Yi Xu

“…The statistical features and wavelet transform features are fused at the feature level, culminating in the formation of a 56-dimensional feature vector. Four machine learning models, namely the Wide Neural Network (WNN), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Kernel methods, are employed as classifiers for both training and testing purposes. …”
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