An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning by Huimin Li, Yuhu Tao, Dan Chen, Yi Tang, Jianxiao Wang, Lulu Xue

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Cost-effectiveness of using sodium-glucose cotransporter type 2 inhibitors as a part of therapy for cardiovascular death prevention and achieving the Reduction of Cardiovascular Mo... by M. V. Zhuravleva, Yu. V. Gagarina, T. V. Marin

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Integrated Machine Learning Framework Combining Electrical Cycling and Material Features for Supercapacitor Health Forecasting by Mojtaba Khakpour Komarsofla, Kavian Khosravinia, Amirkianoosh Kiani

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Accurate multi-category student performance forecasting at early stages of online education using neural networks by Naveed Ur Rehman Junejo, Muhammad Wasim Nawaz, Qingsheng Huang, Xiaoqing Dong, Chang Wang, Gengzhong Zheng

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Individual forecasting of reliability of bipolar transistors by using electrical voltage as a simulation factor by S. M. Borovikov, E. N. Shneiderov, A. I. Berasnevich, V. O. Kaziuchyts

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Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers by Yashu Feng, Shuoting Wang, Jingwen Zhang, Chengcheng Liu, Ling Zhang, Jiajun Liu

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Historical reconstruction dataset of hourly expected wind generation based on dynamically downscaled atmospheric reanalysis for assessing spatio-temporal impact of on-shore wind in... by Yu Fujimoto, Masamichi Ohba, Yujiro Tanno, Daisuke Nohara, Yuki Kanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama

“…To assess this impact, the use of long-term reanalysis results of wind data based on a numerical weather prediction (NWP) model is considered valid. However, in Japan, the behavior of on-shore wind power generation is influenced by diverse topographical and meteorological features (TMFs) of the installation site, making it challenging to assess possible operational impacts based solely on power curve-based estimates using a popular conversion equation. …”
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Evaluation and analysis of risk factors for fractured vertebral recompression post-percutaneous kyphoplasty: a retrospective cohort study based on logistic regression analysis by YingLun Zhao, Bo Li, Lu Qian, XueMing Chen, YanHui Wang, LiBin Cui, Yuan Xin, Liang Liu

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Molecule subtypes play important roles for second primary malignancies development based on 324,661 breast cancer survivors by Jin Shi, Jian Liu, Guo Tian, Daojuan Li, Di Liang, Yutong He

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Predicting Survival Rates in Brain Metastases Patients from Non‐Small Cell Lung Cancer Using Radiomic Signatures Associated with Tumor Immune Heterogeneity by Fuxing Deng, Gang Xiao, Guilong Tanzhu, Xianjing Chu, Jiaoyang Ning, Ruoyu Lu, Liu Chen, Zijian Zhang, Rongrong Zhou

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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

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A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks by Mariam Labib Francies, Abeer Twakol Khalil, Hanan M. Amer, Mohamed Maher Ata

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Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges by Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu

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SUSTAINABILITY IN SERVICE´S SECTOR: NEW TRENDS OF SUSTAINABILITY TOOLS AND POSITIONING OF SERVICES IN ECONOMY by Johana Paluchová, Renata Prokeinová

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Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce by Hayder Zghair, Rushi Ganesh Konathala

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Data-Driven Energy Consumption Analysis and Prediction of Real-World Electric Vehicles at Low Temperatures: A Case Study Under Dynamic Driving Cycles by Yifei Zhao, Hang Liu, Jinsong Li, Hongli Liu, Bin Li

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Research on a Rapid Three-Dimensional Compressor Flow Field Prediction Method Integrating U-Net and Physics-Informed Neural Networks by Chen Wang, Hongbing Ma

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Predictive factors for failure of nonsurgical management of intussusception and its in-hospital recurrence in pediatric patients: a large retrospective single-center study by Maria Klimeczek Chrapusta, Maciej Preinl, Zofia Łubniewska, Filip Procháska, Maria Gruba, Wojciech Górecki

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Data-Driven and Machine-Learning-Based Real-Time Viscosity Measurement Using a Compliant Mechanism by Nitin V. Satpute, Pratibha Mahajan, Abhishek M. Bhagawati, Keyur G. Kulkarni, Kaustubh M. Utpat, Ganesh D. Korwar, Jagadish V. Tawade, Joanna Iwaniec, Krzysztof Kołodziejczyk

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Research on Storage Grain Temperature Prediction Method Based on FTA-CNN-SE-LSTM with Dual-Domain Data Augmentation and Deep Learning by Hailong Peng, Yuhua Zhu, Zhihui Li

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