Laparoscopic Suture Gestures Recognition via Machine Learning: A Method for Validation of Kinematic Features Selection by Juan M. Herrera-Lopez, Alvaro Galan-Cuenca, Antonio J. Reina, Isabel Garcia-Morales, Victor F. Munoz

“…To validate this study, three classification models based on the multilayer perceptron and on Hidden Markov Models have been trained using both the complete set of variables and a reduced selection including only the most significant. …”
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Data-Driven Loan Default Prediction: A Machine Learning Approach for Enhancing Business Process Management by Xinyu Zhang, Tianhui Zhang, Lingmin Hou, Xianchen Liu, Zhen Guo, Yuanhao Tian, Yang Liu

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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

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Assessing heavy metal contamination in agricultural soils: a new GIS-based Probabilistic Pollution Index (PPI) – case study: Guarda Region, Portugal by Silvia Aparisi-Navarro, Maria Moncho-Santonja, Beatriz Defez, Carla Candeias, Fernando Rocha, Guillermo Peris-Fajarnés

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Opportunities for a New Content and Methodological Line “Big Data Analysis” to Modernize the Training System of the Future Economist by D. A. Vlasov, P. A. Karasev, A. V. Sinchukov

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Typology of Russian agribusiness ecosystems by D. A. Korobeynikov, I. S. Korabelnikov, V. K. Telekabel

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Strategic approaches for the integrated development and utilization of abandoned mines in China in the new era by Furui XI, Jusong SHI, Jinde ZHANG, Deqiang ZHANG, Ruiwen YAN, Wanqiu ZHANG, Gang LIN

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Smart plant disease diagnosis using multiple deep learning and web application integration by Ahmed M.S. Kheir, Anis Koubaa, Vinothkumar Kolluru, Sudeep Mungara, Til Feike

“…MobileViTv2 emerged as the superior model, achieving the highest classification accuracy (94 %) and F1 score (0.94). …”
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Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach by Vakeel A. Khan, Asheesh Kumar Yadav, Mohammad Arshad, Nadeem Akhtar

“…The proposed ENS model enhances decision-making by optimizing feature selection and minimizing ambiguity in patient data representation. …”
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Treatment Recommendation using BERT Personalization by J Jayapradha, Yukta Kulkarni, Lakshmi Vadhanie G, Palanichamy Naveen, Elham Abdulwahab Anaam

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Concrete Crack Detection, Orientation and Measurement Using a Wall Climbing Robot by Devi Willieam Anggara, Mohd Shafry Mohd Rahim, Riyadh Zulkifli, Abdul Rashid Husain, Riyanto, Mazleenda Mazni, Izni Syahrizal Ibrahim, Suhono Harso Supangkat

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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

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Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, E... by Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle

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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

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A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling by Fan Liu, De-bao Zhang, Shi-huan Cheng, Gui-shan Gu

“…The DLRC model demonstrated superior predictive performance with a higher C-index of 0.78 (95% CI: 0.73–0.84) and area under the curve (AUC) values of 0.83 for 3-year survival and 0.87 for 5-year survival, outperforming other models. …”
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Research on Ground Subsidence Risk Assessment in the Start-up Area of Jinan by Yin Xiuzhen, Ye Lin, Liu Shuoshuo, Qu Yuanhui, Jia Chao

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Target informed client recruitment for efficient federated learning in healthcare by Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor

“…The proposed approach requires a mere fraction of the data for training and reduces the training time by a factor of 3-4. In addition, we show that excluded clients can still significantly benefit from the resulting federated model through local fine-tuning. …”
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Using the phantom 4 RTK drone for photogrammetry to create topographic plan of road by El Atiq Jaouad, El Harti Abderrazak

“…Image processing and classification helped to build a Digital Terrain Model with an altimetric RMSE of 5 cm - just 3 cm for planimetric error. …”
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A Novel Method for Diagnosing Heart Diseases Based on Internet of Things by Samir Paul

“…Using a dataset with 300 records from the Hungarian Heart Disease database, the model achieved a notable classification accuracy of 93.62%. …”
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Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation paramet... by Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang

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