An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…Abstract This study aims to enhance the accuracy of predicting transposon-derived piRNAs through the development of a novel computational method namely TranspoPred. TranspoPred leverages positional, frequency, and moments-based features extracted from RNA sequences. …”
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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

“…This investigation focused on crafting a machine learning-based prediction model for suicidal ideation (SI) in this population to aid suicide prevention efforts in general hospitals. …”
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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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The fourth order flux observer with in‐loop filter for permanent magnet synchronous motor sensorless control by Ziwen Wang, Ciyong Luo, Xiaoshu Jia, Zihao Xing

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Trustworthiness of Deep Learning Under Adversarial Attacks in Power Systems by Dowens Nicolas, Kevin Orozco, Steve Mathew, Yi Wang, Wafa Elmannai, George C. Giakos

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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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Study on risk assessment of tunnel construction across mined-out region based on combined weight-two-dimensional cloud model by Haibin Liang, Xiong-gang Xie, Xuexi Chen, Qingsong Li, Wenjie He, Zhicheng Yang, Meirong Ren

“…The subjective weights of the indicators are determined by the G1 method, the objective weights are determined by the improved CRITIC method combined with the Random Forest (RF) machine learning method, and the combined weights are calculated using the game-theoretic combination assignment method. …”
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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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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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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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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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Development of Various Stacking Ensemble-Based HIDS Using ADFA Datasets by Hami Satilmis, Sedat Akleylek, Zaliha Yuce Tok

“…Initially, n-grams, standard bag-of-words (BoW), binary BoW, probability BoW, and term frequency-inverse document frequency (TF-IDF) BoW methods are applied to the ADFA-LD and ADFA-WD datasets. …”
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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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An Efficient Methodology for the Categorization of Software Requirements Using Natural Language Processing and Similarity Analysis by Rahat Izhar, Kenneth Cosh, Lachana Ramingwon, Sakgasit Ramingwong, Shahid N. Bhatti

“…The following research study proposes “NLPReqClassifier,” a lightweight automated classification model that integrates Term Frequency-Inverse Document Frequency (TF-IDF) and Cosine Similarity. …”
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Contactless radar-based heart rate estimation in palliative care – a feasibility study and possible use in symptom management by Stefan G. Grießhammer, Anke Malessa, Hui Lu, Julia Yip, Julie Leuschner, Florian Christgau, Nils C. Albrecht, Marie Oesten, Thanh Truc Tran, Robert Richer, Maria Heckel, Bjoern M. Eskofier, Alexander Koelpin, Tobias Steigleder, Christoph Ostgathe

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Stability Analysis and Simulation of Dynamic Behavior of Virtual Synchronous Generator in Microgrid System Using Small Signal Model by Ghazanfar Shahgholian, Ehsan Hosseini, Fatemeh Mohammadzamani

“…Virtual synchronous machines are among the efficient methods to comply with the scarcity of inertia in the power network. …”
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LGLoc as a new language model-driven graph neural network for mRNA localization by Saeedeh Akbari Rokn Abadi, Aref Shahbakhsh, Somayyeh Koohi

“…., cancer, Alzheimer’s) and drug development. While numerous methods have been developed for this purpose, existing approaches face challenges: experimental methods are often costly and time-consuming, while computational methods may lack accuracy and efficiency. …”
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