Study on GPR Image Restoration for Urban Complex Road Surfaces Using an Improved CycleGAN by Xinxin Huang, Jialin Liu, Feng Yang, Xu Qiao, Liang Gao, Tingyang Fu, Jianshe Zhao

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Sensorless Design and Analysis of a Brushed DC Motor Speed Regulation System for Branches Sawing by Shangshang Cheng, Huijun Zeng, Zhen Li, Qingting Jin, Shilei Lv, Jingyuan Zeng, Zhou Yang

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Research on Long-Distance Snow Depth Measurement Method Based on Improved YOLOv8 by Jia-Wen Wang, Yu Cao, Zong-Kai Guo, Cheng Xu

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Dynamic analysis of malicious behavior propagation based on feature selection in software network by Huajian Xue, Huajian Xue, Yali Wang, Qiguang Tang

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Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions by Mikal Laursen, Van-Van Huynh, Duy-Hung Ha, Mahmoud S. Mahmoud, van Khang Huynh

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Structural Magnetic Resonance Imaging Brain Age Investigation in Athletes with Persistent Postconcussion Syndrome by Samuel Guay, Camille Charlebois-Plante, Sophie-Andrée Vinet, Marie-Eve Bourassa, Louis De Beaumont

“…This study demonstrated the potential of using brain age and explainable artificial intelligence frameworks to study athletes with PCS. Further research is needed to explore the underlying mechanisms driving brain aging in this population and to identify potential biomarkers for early detection and intervention.…”
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EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

Visualization of Breast Cancer and Safety: Review by Lina Zaripova, Elmira Chuvakova, Aigul Segizbayeva, Abai Baigenzhin, Assel Yegembay, Dana Idrissova

“…The review concludes that the progress in the screening techniques results in a much higher survival rate, in particular due to detections of earlier stages of tumors. In recent years, artificial intelligence has emerged as a powerful tool in the field of breast cancer management, revolutionizing detection, diagnosis, and treatment planning. …”
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Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion Models by Jay Shah, Yiming Che, Javad Sohankar, Ji Luo, Baoxin Li, Yi Su, Teresa Wu, for the Alzheimer’s Disease Neuroimaging Initiative

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Integrated rapid risk assessment for dengue fever in settings with limited diagnostic capacity and uncertain exposure: Development of a methodological framework for Tanzania. by Matthias Hans Belau, Juliane Boenecke, Jonathan Ströbele, Mirko Himmel, Daria Dretvić, Ummul-Khair Mustafa, Katharina Sophia Kreppel, Elingarami Sauli, Johanna Brinkel, Ulfia Annette Clemen, Thomas Clemen, Wolfgang Streit, Jürgen May, Amena Almes Ahmad, Ralf Reintjes, Heiko Becher

“…Regression between confirmed dengue fever cases in 2019 as the dependent variable and a site-specific public health risk score as the independent variable showed strong evidence of an increase in dengue fever cases with higher site-specific risk (rate ratio = 2.51 (95% CI = [1.76, 3.58])).…”
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Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study by Jinzhao Cui, Ting Zhang, Yifeng Shen, Xiaoli Wang, Liuyang Yang, Xuefeng Huang, Qiang Huang, Yu Yang, Weizhong Yang, Zhongjie Li

“…Relative to traditional models, probability-based warning signals improved early detection, reduced false alarms, and facilitated tiered public health responses. …”
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A Review of Environmental Sensing Technologies for Targeted Spraying in Orchards by Yunfei Wang, Zhengji Zhang, Weidong Jia, Mingxiong Ou, Xiang Dong, Shiqun Dai

“…Additionally, this paper reviews the practical paths of environmental sensing-driven targeted spraying technologies, including variable spraying strategies based on canopy structure perception, precise pesticide application methods combined with intelligent pest and disease recognition, and targeted weed control technologies relying on weed and non-target area detection. …”
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Multi-Pathway 3D CNN With Conditional Random Field for Automated Segmentation of Multiple Sclerosis Lesions in MRI by Reeda Saeed, Shahab U. Ansari, Muhammad Hanif, Kamran Javed, Usman Haider, Iffat Maab, Saeed Mian Qaisar, Pawel Plawiak

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Magnetic resonance imaging for noninvasive assessment of renal fat deposition and hypoxia in diabetic kidney disease by Jian Liu, Daoyu Yang, Chong Tian, Rui Lv, Rongpin Wang, Xianchun Zeng

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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…The key technologies in production mainly include rice dry direct seeding, automated transplanting, precise variable fertilization, intelligent irrigation, field weed management, and disease diagnosis. …”
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Neurotechnological Approaches to Cognitive Rehabilitation in Mild Cognitive Impairment: A Systematic Review of Neuromodulation, EEG, Virtual Reality, and Emerging AI Applications by Evgenia Gkintoni, Stephanos P. Vassilopoulos, Georgios Nikolaou, Apostolos Vantarakis

“…EEG analyses identified characteristic neurophysiological markers of MCI with potential for early detection and monitoring. Virtual reality enhanced assessment sensitivity and rehabilitation engagement through ecologically valid environments. …”
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AI-enhanced rapid diagnostic testing platform for mass opisthorchiasis screening by Prem Junsawang, Anchalee Techasen, Kannika Wiratchawa, Yupaporn Wanna, Phattharaphon Wongphutorn, Chanika Worasith, Paiboon Sithithaworn, Sahan Bulathwela, Thanapong Intharah

“…The EfficientNet-B5-based deep learning model used in the platform exhibited impressive performance in both image quality assessment (98% accuracy) and infection grading classification (95% accuracy in detecting OV infection status). The platform’s user-friendly interface has achieved high satisfaction rates (4.41/5.00) among healthcare workers, while its intelligent dashboard offers real-time analytics and geospatial visualization capabilities. …”
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AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis by Esther Ugo Alum

“…Demographic changes, socio-economic variables, and lifestyle choices are responsible for the rise in cancer cases. …”
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Research on real time measurement model and measurement system for gas concentration in extraction drilling by Dayang Yu, Junhao Zhu, Xing Li, An He, Huaiqian Liu, Changjiang Chen, Yong Liu

“…Abstract Accurate and real-time monitoring of methane concentration at extraction boreholes is critical for intelligent gas management in coal seams. Although tunable diode laser absorption spectroscopy (TDLAS) offers high sensitivity and rapid response, its performance is limited under complex underground conditions due to low signal-to-noise ratios and lack of effective environmental compensation, leading to reduced detection accuracy at low concentrations. …”
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Development of a deep learning model to predict smoking status in patients with chronic obstructive pulmonary disease: A secondary analysis of cross-sectional national survey by Sudarshan Pant, Hyung Jeong Yang, Sehyun Cho, EuiJeong Ryu, Ja Yun Choi

“…The dependent variable, smoking status, was categorized as smoker or nonsmoker. …”
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