Realtime Monitoring of Animal Behavior Using Deep Learning Models by Romesa Rao, Salman Qadri, Rao Kashif

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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

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Porosity prediction of tight reservoir rock using well logging data and machine learning by Yawen He, Hongjun Zhang, Zhiyu Wu, Hongbo Zhang, Xin Zhang, Xiaojing Zhuo, Xiaoli Song, Sha Dai, Wei Dang

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Methods of Developing Strategies for Municipalities by Yu. N. Lapygin, D. V. Tulinova

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Distributionally robust microgrid formation for service restoration in distribution systems against extended extreme events by Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Jin Zhao

“…Furthermore, to enhance the computational efficiency, a parallel solving strategy is developed, based on the column-and-constraint generation algorithm, the alternating optimization procedure, and the progressive hedging algorithm. …”
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Optimization of management of patients with critical lower limb ischemia, allowing for risk of gangrene by A. V. Bykov, N. A. Korenevsky, S. A. Parkhomenko, I. I. Khripina

“…For each identified class, confidence in the development of gangrene was determined by an individual treatment strategy, implemented in accordance with the intelligent decision support system by a decision-making algorithm.Results. …”
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SiCRNN: A Siamese Approach for Sleep Apnea Identification via Tracheal Microphone Signals by Davide Lillini, Carlo Aironi, Lucia Migliorelli, Leonardo Gabrielli, Stefano Squartini

“…Sleep apnea syndrome (SAS) affects about 3–7% of the global population, but is often undiagnosed. …”
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Ranking data privacy techniques in cloud computing based on Tamir’s complex fuzzy Schweizer-Sklar aggregation approach by Jabbar Ahmmad, Hamiden Abd El-Wahed Khalifa, Hafiz Muhammad Waqas, Alhanouf Alburaikan, Taha Radwan

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Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“…The machine learning algorithms used to build the model are Decision Tree, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). …”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…In this interdisciplinary study, two main contributions are proposed for the automated clinical decision-making state-of-the-art: (1) using the real-life data collected from thousands of ICU patients by healthcare professionals, three possibilities (recovery, mortality, and returning to the intensive care unit within 30 days) are predicted for patients in intensive care instead of just one possibility. (2) A novel feature extraction approach is proposed by the biomedical expert in our team. …”
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Bridge Digital Twin for Practical Bridge Operation and Maintenance by Integrating GIS and BIM by Yan Gao, Guanyu Xiong, Ziyu Hu, Chengzhang Chai, Haijiang Li

“…This study addresses these limitations by developing an integrated DT system that combines WebGIS, WebBIM, and graph algorithms within a three-layer architecture. The system design includes a common data environment (CDE) to address cross-platform compatibility, enabling real-time monitoring, drone-enabled inspection, maintenance planning, traffic diversion, and logistics optimization. …”
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Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility by Jemar R. Bather, Melody S. Goodman, Adrian Harris, Guilherme Del Fiol, Rachel Hess, David W. Wetter, Daniel Chavez-Yenter, Lingzi Zhong, Lauren Kaiser-Jackson, Rachelle Chambers, Richard Bradshaw, Wendy Kohlmann, Sarah Colonna, Whitney Espinel, Rachel Monahan, Saundra S. Buys, Ophira Ginsburg, Kensaku Kawamoto, Kimberly A. Kaphingst, on behalf of the BRIDGE research team

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Development and validation of a probability-assessment nomogram for non-suicidal self-injury in hospitalized adolescents and young adults with mental disorders by Qi Liu, Yanjuan Ren, Yalin Huang, Ruyi Xie, Yinyuan Li, Zaiquan Dong, Xiaoxia Zhang

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Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

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Deciphering the complex links between inflammatory bowel diseases and NAFLD through advanced statistical and machine learning analysis by Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés

“…Results:: The inflammatory profile, mixed disease profile, and healthy profile were the three distinct clusters were identified with LSA. …”
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Intra-articular Glenoid Fracture Managed by Arthroscopic Fixation and Open Reduction and Internal Fixation Techniques: An Analytical Study by Prahalad K Singhi, Sivakumar Raju, Chidambaram Muthu, Gopi Kumarasamy, Vinoth Thangamani, Muthukishore Marichamy

“…Due to complex anatomy and neurovascular structures in vicinity, operative treatment is relatively uncommon. With the advent of three-dimensional (3D) computed tomography (CT), appropriate analysis of fracture pattern and management protocols can be developed. …”
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Machine learning algorithms to predict khat chewing practice and its predictors among men aged 15 to 59 in Ethiopia: further analysis of the 2011 and 2016 Ethiopian Demographic and... by Mequannent Sharew Melaku, Lamrot Yohannes, Eliyas Addisu Taye, Nebebe Demis Baykemagn

“…Therefore, this study aimed to predict khat chewing practices and their determinant factors among men aged 15 to 59 years in Ethiopia using a machine learning algorithm.MethodsThis study used data from the 2011 and 2016 Ethiopian Demographic and Health Surveys (EDHS). …”
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Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…Method We conducted a retrospective analysis of 33 stage III peripheral SCLC cases and 99 stage III peripheral NSCLC cases treated at our hospital between January 2016 and July 2024. …”
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LASSO-derived nomogram prediction model for lymph node metastasis in colorectal cancer: a retrospective analysis by Xiyun Quan, Yi Deng, Zhimin Liu, Zhenqin Gao, Huimei Yi, Ming Li

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Construction and validation of a nomogram for predicting 3-month outcome in elderly patients with nonvalvular atrial fibrillation-induced acute ischemic stroke by Yang Yang, Xiaohong Zhang

“…The assessment tools included receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Ultimately, a nomogram was constructed to forecast the 3-month outcomes for this demographic.ResultsA total of 178 patients were included, of whom 95 (53.3%) had a poor outcome (mRS > 2). …”
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