Embedded implementation of phase imbalance faults in three-phase inverters: The impact of MOSFET conduction resistance variations by Oussama Idbouhouch, Mourad Zegrari, Nabila Rabbah, Ibtihal Ait Abdelmoula, Hicham Oufettoul, Saad Motahhir

“…Three fault scenarios were evaluated: an increase in Ron's value in a single MOSFET, a pair of MOSFETs in the same inverter leg, and two MOSFETs in separate legs. …”
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Deep Learning-Based Flap Detection System Using Thermographic Images in Plastic Surgery by Răzvan Danciu, Bogdan Andrei Danciu, Luiz-Sorin Vasiu, Adelaida Avino, Claudiu Ioan Filip, Cristian-Sorin Hariga, Laura Răducu, Radu-Cristian Jecan

“…Among the imagistic techniques for monitoring flaps, the thermal camera has demonstrated its value as an efficient indirect method that is easy to use and easy to integrate into clinical practice. …”
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Smart Nutrient Solution Temperature Control System for Oversummering Lettuce Cultivation Based on Adaptive Dung Beetle Optimizer-Fuzzy PID by Yuliang Cai, Zelan Zhao, Wenzhong Guo, Hailing Xu, Yunfei Teng, Xiaobei Han, Qian Zhao, Lichun Wang

“…Firstly, the system integrates high-precision sensor networks and air-source heat pump units, forming the hardware foundation. …”
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A Method for Identifying Landslide-Prone Areas Using Multiple Factors and Adaptive Probability Thresholds: A Case Study in Northern Tongren, Longwu River Basin, Qinghai Province by Jiawen Bao, Xiaojun Luo, Yueling Shi, Mingyue Hou, Jichao Lv, Guoxiang Liu

“…To address these limitations, this study proposes a novel method for identifying landslide-prone areas by integrating multi-factor analysis with adaptive probability thresholds. …”
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A Novel Open Circuit Fault Diagnosis for a Modular Multilevel Converter with Modal Time-Frequency Diagram and FFT-CNN-BIGRU Attention by Ziyuan Zhai, Ning Wang, Siran Lu, Bo Zhou, Lei Guo

“…To solve this problem, an intelligent diagnosis method is proposed to integrate the modal time–frequency diagram and FFT-CNN-BiGRU-Attention. …”
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Neural network backstepping control of OWC wave energy system by Priyanka Nath, Sunil Kumar Mishra, Amitkumar Vidyakant Jha, Bhargav Appasani, Akshaya Kumar Pati, Vijay Kumar Verma, Philibert Nsengiyumva, Avireni Srinivasulu

“…The parameters for PI, BSC, and NN-BSC are optimized using a Particle Swarm Optimization (PSO) algorithm, which minimizes a fitness function defined by the Integral Squared Error (ISE). …”
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Computed Tomography‐Based Habitat Analysis for Prognostic Stratification in Colorectal Liver Metastases by Chaoqun Zhou, Hao Xin, Lihua Qian, Yong Zhang, Jing Wang, Junpeng Luo

“…An unsupervised K‐means clustering algorithm classified the tumors into two clusters based on their habitat characteristics. …”
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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

“…Based on the principles of unit consistency and hydrological processes, this study integrates computer graphics algorithms with hydrological process simulation techniques to propose an automated slope unit division method coupled with computer graphics and hydrological principles (SUD-CGHP). …”
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Assessing SWOT's Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope‐Based Flood Wave Propagation Signatures by T. Ledauphin, P.‐A. Garambois, K. Larnier, M. Azzoni, C. Emery, N. Picot, S. Amzil, R. Fjørtoft, J. Maxant, H. Yésou

“…The 1‐day Cal/Val data analysis successfully observed flood wave propagation, intumescence, and a rarely observed submersion wave positive slope, underscoring SWOT's value for river hydrology. Limitations in Reach and Node products from SWORD (Surface Water and Ocean Topography River Database), versions 14–16 were addressed by developing an improved SWORD model aligned with the Rhine's morphology, now integrated into SWORD v17. …”
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Improving pediatric care in Uganda with a digital platform and quality improvement initiative: A retrospective review of Smart Triage + QI. by Rebecca Goertzen, Yashodani Pillay, James Karugaba, Ivan Aine Aye Ishebukara, Ahmad Asdo, Dustin Dunsmuir, Justine Behan, Charly Huxford, Stefanie K Novakowski, Fredson Tusingwire, Ronald Kasyaba, Gloria Kakuru, John Khisa, Stephen Businge, Mike Kyewalyanga, Niranjan Kissoon, J Mark Ansermino

“…<h4>Methods</h4>Smart Triage is a risk prediction algorithm and digital platform that enables healthcare workers to triage patients and track treatments effectively. …”
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Research and application of a novel grey multivariable model in port scale prediction under the impact of Free Trade Zone by Yuyu Sun, Yuchen Zhang, Zhiguo Zhao

“…First, fractional-order accumulative generation operation (AGO) is introduced, which integrates the policy impact effect. Second, the heuristic grey wolf optimization (GWO) algorithm is used to determine the optimal nonlinear parameters. …”
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Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

“…Each algorithm has its strengths and limitations depending on the specific legal risk assessment task. …”
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Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis by Xiao Chen, Zhiyun Shen, Tingyu Guan, Yuchen Tao, Yichen Kang, Yuxia Zhang

“…ConclusionsHospital administrators and clinicians should consider the value of social media and pay attention to what patients and their family members are communicating on social media. …”
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Global Assessment of Mesoscale Eddies with TOEddies: Comparison Between Multiple Datasets and Colocation with In Situ Measurements by Artemis Ioannou, Lionel Guez, Rémi Laxenaire, Sabrina Speich

“…The present study introduces a comprehensive, open-access atlas of mesoscale eddies in the global ocean, as identified and tracked by the TOEddies algorithm implemented on a global scale. Unlike existing atlases, TOEddies detects eddies directly from absolute dynamic topography (ADT) without spatial filtering, preserving the natural spatial variability and enabling precise, high-resolution tracking of eddy dynamics. …”
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Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models by Wentao Zhou, Meng Huang, Shuai Liu, Qiao You, Fanxin Meng

“…The path confidence constraint algorithm (PCCA) is used to achieve deep semantic associations of earthquake disaster elements. …”
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Evaluating soil erosion zones in the Kangsabati River basin using a stacking framework and SHAP model: a comparative study of machine learning approaches by Javed Mallick, Saeed Alqadhi, Swapan Talukdar, Md Nawaj Sarif, Tania Nasrin, Hazem Ghassan Abdo

“…This study aimed to predict soil erosion susceptibility zones in the basin using integrated soil erosion and deep learning (DL) based stacking framework. …”
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Sentiment analysis and topic modeling of social media data to explore public discourse on irritable bowel syndrome by Ravi Shankar, Alexander Wenjun Yip

“…This study demonstrates the value of social media analysis in understanding IBS patient experiences and highlights the need for integrated care models addressing both physical and psychosocial aspects of the condition. …”
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The nutriRECIPE-Index – development and validation of a nutrient-weighted index for the evaluation of recipes by Frank Forner, Ina Volkhardt, Toni Meier, Olaf Christen, Gabriele I. Stangl

“…Furthermore, a unique database was created to integrate bioactive plant compounds in the assessment. …”
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The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study by Yao Li, Siyuan Zhou, Bichen Ren, Shuai Ju, Xiaoyan Li, Wenqiang Li, Bingzhe Li, Yunmin Cai, Chunlei Chang, Lihong Huang, Zhihui Dong

“…Future work will focus on algorithm optimization, expanded datasets, and real-time monitoring integration to enable more precise, dynamic risk evaluation for improved DF prevention and early intervention.…”
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An Effective Quantification of Methane Point-Source Emissions with the Multi-Level Matched Filter from Hyperspectral Imagery by Menglei Liang, Ying Zhang, Liangfu Chen, Jinhua Tao, Meng Fan, Chao Yu

“…The traditional matched filter (MF) algorithm, commonly used to derive methane enhancement from hyperspectral satellite data, is limited by its tendency to underestimate methane plumes, especially at higher concentrations. …”
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