Urban Public Space Safety Perception and the Influence of the Built Environment from a Female Perspective: Combining Street View Data and Deep Learning by Shudi Chen, Sainan Lin, Yao Yao, Xingang Zhou

“…Despite advancements in machine learning (ML) techniques, efficiently and accurately quantifying safety perceptions remains a challenge. …”
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A Robust Framework for Bamboo Forest AGB Estimation by Integrating Geostatistical Prediction and Ensemble Learning by Lianjin Fu, Qingtai Shu, Cuifen Xia, Zeyu Li, Hailing He, Zhengying Li, Shaoyang Ma, Chaoguan Qin, Rong Wei, Qin Xiang, Xiao Zhang, Yiran Zhang, Huashi Cai

“…Subsequently, a stacked ensemble model, integrating four machine learning algorithms, predicted AGB from the full suite of continuous variables. …”
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Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study by Zilei Tian, Ziyang Ma, Beihong Dou, Xiaopeng Huang, Guangsen Li, Degui Chang, Tao Yin, Peihai Zhang

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Search Guidance Network Assisted Dynamic Particle Swarm Optimization Algorithm by LIU Zhi, SONG Wei

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Abnormal heart sound recognition using SVM and LSTM models in real-time mode by Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf K. Bsoul, Ahmad A. Saifan

“…Normal heart sounds have a special rhythmic pattern as an indicator of heart integrity. Many experts concentrate on diagnosing the heart by automatic digital auscultation systems which find various distinguishable characteristics for heart sound classifications. …”
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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Background and Objective: In recent years, DNA methylation-tumor classification based on artificial intelligence algorithms has led to a notable improvement in diagnostic accuracy compared to traditional machine learning methods. In cancer, the methylation pattern likely reflects both the cell of origin and somatically acquired DNA methylation changes, making this epigenetic modification an ideal tool for tumor classification. …”
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The relationship between mixed exposure to blood metal and serum neurofilament light chain levels in the general U.S. population: an unsupervised clustering approach by Jiyu Nie, Jiyu Nie, Lin Wen, Zhentian Lai, Zhentian Lai, Chuhang Lin, Chuhang Lin, Haiyin Li, Haiyin Li, Jing Zhang, Jing Zhang, Shen Xie, Shen Xie, Xiaosong Ben, Chunxia Jing, Chunxia Jing

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Multi-scenario Dynamic Simulation and Optimization of Urban Ventilation Environment: A Case Study of Taiyuan Metropolitan Area by Junda HUANG, Yuncai WANG

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MNEMOSINE: A Modular Framework to Monitor Interaction in Multimodal Interactive Spaces by Fabio Barros, Bernardo Marques, Antonio Teixeira, Samuel Silva

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Improving the traction calculation of dump conveyor belts for mobile construction and road vehicles by Grishin A.V.

“…Using the example of a dump conveyor of a mobile washing plant, patterns of operation of short conveyors have been identified, which make it possible to increase the efficiency of their design process, as well as to obtain a positive economic result from the use of the proposed modification.…”
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Quantifying Lenition as a Diagnostic Marker for Parkinson’s Disease and Atypical Parkinsonism by Ratree Wayland, Rachel Meyer, Ruhi Reddy, Kevin Tang, Karen W. Hegland

“…Lenition was quantified based on deviations from expected values, and linear mixed-effects models were applied to compare phonological patterns between the two groups. <b>Results:</b> PD patients exhibited more stable articulatory patterns, particularly in preserving the contrast between voiced and voiceless stops. …”
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Identification of Torsional Fatigue Properties of Titanium Alloy Turned Surfaces and Their Distribution Characteristics by Bin Jiang, Dengyun Wang, Peiyi Zhao, Hongchao Sang

“…Through finite element simulation, the plastic deformation, residual stress, and work hardening rate of the machined surface and subsurface of a titanium alloy are quantitatively examined. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…ML-based approaches to mineral prospectivity mapping using geochemical data can more effectively identify statistical correlations between geochemical patterns than other non-ML methods. Recent research shows that machine-learning approaches enable the integration of geochemical data and the successful identification and separation of geochemical anomalies associated with mineralization that may be overlooked using non-machine learning methods (Tukey, 1977; Cheng, 2006; Cheng et al., 2010). …”
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Evaluation of Confusion Behaviors in SEI Models by Brennan Olds, Ethan Maas, Alan J. Michaels

“…Radio Frequency Machine Learning (RFML) has in recent years become a popular method for performing a variety of classification tasks on received signals. …”
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Identification of Anomalous Behavior Through the Observation of an Individual&#x2019;s Emotional Variation: A Systematic Review by Monique S. L. S. Tomaz, Bruno J. T. Fernandes, Alessandra Sciutti

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A comprehensive review of flood damage in mountainous regions: challenges, solutions, and advanced management technologies by Mohammad Roohi, Jila Dehghani, Maryam Irani, Paramiss Mina

“…This work employs techniques such as LiDAR for precise topographic models, integrating remote sensing with hydrological/hydraulic models, and analyzing satellite imagery to study flood patterns and land cover changes. Furthermore, a precise and useful understanding of the effects of floods in these areas has been made possible by the use of machine learning algorithms to forecast flood episodes and evaluate damage, in conjunction with field research and community participation, such as citizen science initiatives for data collection and local knowledge integration. …”
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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

“…., active energy, exercise minutes, heart rate, heart rate variability, resting energy, resting heart rate, sleep patterns, steps, walking pace) data and Ecological Momentary Assessment (EMA) through smartphone and wearable-device for two weeks. …”
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Urban vitality transfer: Analysis of 50 factors based on 24-h weekday activity in Nanjing by Zhenyu Wang, Weixing Xu, Yida Liu, Beibei Liu, Ling Zhu

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Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath by Yael Hershkovitz‐Pollak, Manhal Habib, Yoav Y. Broza, Olga Katz, Harry Rakowski, Hossam Haick

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Convolutional neural network approach for fault detection and characterization in medium voltage distribution networks by Atefeh Pour Shafei, J.Fernando A. Silva, J. Monteiro

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