Water vapor density field estimation using commercial microwave link attenuation combined with temperature measurements by Itay Bragin, Yoav Rubin, Pinhas Alpert, Jonatan Ostrometzky

“…A number of machine-learning based algorithms (e.g. support vector machine) for estimating water vapor density at a reference weather station using the received signal level values measured at a commercial microwave link has been proposed in the past, and also was expanded to include a combination of three commercial microwave links with temperature measurements to achieve a higher estimation accuracy (with respect to the root mean square error at a given location). …”
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InvarNet: Molecular property prediction via rotation invariant graph neural networks by Danyan Chen, Gaoxiang Duan, Dengbao Miao, Xiaoying Zheng, Yongxin Zhu

“…However, current GNN methods require complex data processing, increasing algorithmic complexity. This high complexity leads to several challenges, including increased computation time, higher computational resource demands, increased memory consumption. …”
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The Choice of Training Data and the Generalizability of Machine Learning Models for Network Intrusion Detection Systems by Marcin Iwanowski, Dominik Olszewski, Waldemar Graniszewski, Jacek Krupski, Franciszek Pelc

“…Network Intrusion Detection Systems (NIDS) driven by Machine Learning (ML) algorithms are usually trained using publicly available datasets consisting of labeled traffic samples, where labels refer to traffic classes, usually one benign and multiple harmful. …”
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The Technical Development of a Prototype Lower-Limb Therapy Device for Bed-Resting Users by Juan Fang, Adrien Cerrito, Simón Gamero Schertenleib, Patrick von Raumer, Kai-Uwe Schmitt

“…Using automatic position and force control algorithms, the device produced leg flexion/extension with synchronised ankle plantarflexion/dorsiflexion as well as leg pressing with adjustable resistive loading. …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…Deep learning algorithms have demonstrated exceptional performance on various computer vision and natural language processing tasks. …”
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Continuous Speech for Improved Learning Pathological Voice Disorders by Syu-Siang Wang, Chi-Te Wang, Chih-Chung Lai, Yu Tsao, Shih-Hau Fang

“…<italic>Conclusions:</italic> The results are consistent with other machine learning algorithms, including gated recurrent units, random forest, deep neural networks, and LSTM.The sensitivities for each disorder were also analyzed, and the model capabilities were visualized via principal component analysis. …”
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IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 by Ahmad Saeed Mohammad, Thoalfeqar G. Jarullah, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani, Somdip Dey

“…The investigation proposes a framework called IoT-MFaceNet (Internet-of-Things-based face recognition using MobileNetV2 and FaceNet deep-learning) utilizing pre-existing deep-learning methods, employing the MobileNetV2 and FaceNet algorithms on both ImageNet and FaceNet databases. Additionally, an in-house database is compiled, capturing data from 50 individuals via a web camera and 10 subjects through a smartphone camera. …”
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Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach by Hassan S. Ahmed, Ahmed J. Abid, Adel A. Obed, Ameer L. Saleh, Reheel J. Hassoon

“…Based on these results, a hybrid mode of merging algorithms based on weather radiation conditions is proposed. …”
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Environmental thresholds triggering changes in above and belowground biomass carbon in China by Xin Zhang, Shihang Zhang, Jun Zhou, Jianrong Fan

“…Using machine learning algorithms, we modeled AGBC and BGBC distributions for the years 2010 and 2100 (SSP5–8.5 scenario) and identified regions with the most significant expected changes. …”
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Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

“…The information society is part of modern life, and algorithmic thinking and programming are relevant to everybody, regardless of educational background. …”
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Association between cardiopulmonary bypass duration and early major adverse cardiovascular events after surgical repair of supravalvular aortic stenosis by Simeng Zhang, Caiyi Wei, Bo Peng, Lizhi Lv, Fengbo Pei, Jianming Xia, Jun Yan, Jie Liu, Qiang Wang, Yi Shi

“…Consistent results were obtained in the Inverse probability of treatment-weighted, standardized mortality ratio-weighted, pairwise algorithmic-weighted, and overlap-weighted models.ConclusionPatients with CPB duration &gt;2 h were at a higher risk of early postoperative MACE compared to those with CPB duration ≤2 h. …”
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Serological proteomic characterization for monitoring liver fibrosis regression in chronic hepatitis B patients on treatment by Mengyang Zhang, Shuyan Chen, Xiaoning Wu, Jialing Zhou, Bingqiong Wang, Tongtong Meng, Rongxuan Hua, Yameng Sun, Hong You, Wei Chen

“…Using machine learning algorithms trained on the 4D-DIA-MS discovery cohort, we develop a logistic regression model incorporating a seven-protein panel for short-term AVT and a three-protein panel for long-term AVT, respectively, both of which demonstrate moderate discriminatory capabilities for fibrosis regression. …”
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Precision Analysis of Multi-Parameter Multi-Epoch Emitter Localization Radar in Three-Satellite Formation by Yiming Lian, Yuxuan Wu, Yaowen Chen, Xian Liu, Liming Jiang

“…To address the issues of requiring numerous cooperative platforms and the poor accuracy of single-epoch solutions with single-parameter closed-form algorithms, this paper proposes a multi-parameter multi-epoch positioning method based on a three-satellite formation. …”
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Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning by Shengwei Jin, Xizheng Zhang, Ying Hu, Ruoyuan Liu, Qing Wang, Haihua He, Junyu Liao, Lijing Zeng

“…For mobile agent path planning, traditional path planning algorithms frequently induce abrupt variations in path curvature and steering angles, increasing the risk of lateral tire slippage and undermining operational safety. …”
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Li-Ion Battery Active–Passive Hybrid Equalization Topology for Low-Earth Orbit Power Systems by Lin Zhu, Zihua Liu, Yong Lin, Zhe Li, Jian Qin, Xiaoguang Jin, Shujie Yan

“…Nevertheless, active equalization often requires a large number of switches and energy storage components, involves complex control algorithms, and faces challenges such as large size and reduced reliability. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…Experiments conducted on four standard HSI datasets (Houston-2013, Samson, KSC, and Botswana) demonstrate that CSTFNet outperforms traditional and state-of-the-art algorithms, achieving overall classification accuracy exceeding 99% . …”
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing by Krzysztof Pastuszak, Michał Sieczczyński, Marta Dzięgielewska, Rafał Wolniak, Agata Drewnowska, Marcel Korpal, Laura Zembrzuska, Anna Supernat, Anna J. Żaczek

“…Sequencing data typically comprises thousands of gene expression reads per cell, which artificial intelligence algorithms can accurately analyze. This work presents machine-learning-based classifiers that differentiate CTCs from peripheral blood mononuclear cells (PBMCs) based on single cell RNA sequencing data. …”
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In Vivo Insights: Near-Infrared Photon Sampling of Reflectance Spectra from Cranial and Extracranial Sites in Healthy Individuals and Patients with Essential Tremor by Antonio Currà, Riccardo Gasbarrone, Davide Gattabria, Giuseppe Bonifazi, Silvia Serranti, Daniela Greco, Paolo Missori, Francesco Fattapposta, Alessandra Picciano, Andrea Maffucci, Carlo Trompetto

“…Our results suggest that NIR spectroscopy, combined with machine learning algorithms, offers a promising non-invasive method for the in vivo characterization and differentiation of tissues in ET patients.…”
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The Hajj legacy and Saudi Arabia’s exemplary response to COVID-19 by Ghadah Alsaleh, Bander Balkhi, Bander Balkhi, Ahmed Alahmari, Anas Khan

“…The Hajj legacy strengthened laboratory diagnostics and surge staffing, informed border screening algorithms, and guided large-event risk assessments. …”
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The molecular characteristics of DNA damage and repair related to P53 mutation for predicting the recurrence and immunotherapy response in hepatocellular carcinoma by Jiayao Ma, Diya Tang, Guangzu Cui, Xiangyang Zhang, Xinwen Wang, Yin Li, Erya Hu, Xin Zhou, Haicong Liu, Qingping Peng, Changjing Cai, Xiangying Deng, Shan Zeng, Yihong Chen, Zemin Xiao

“…Next, among the 173 combinations of algorithms and parameters, CoxBoost + RSF, Lasso [fold = 10] + RSF, and Lasso [fold = 50] + RSF demonstrated the best performance. …”
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