Enhanced slope stability prediction using ensemble machine learning techniques by Devendra Kumar Yadav, Swarup Chattopadhyay, Debi Prasad Tripathy, Pragyan Mishra, Pritiranjan Singh

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Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets by Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Monica Gracia Villar, Imran Ashraf, Adnan Akhtar

“…For sentiment classification, we propose a novel transfer feature where embedding features are fed to a long short-term memory (LSTM), and decision tree (DT) models and outputs are combined into a single feature set. …”
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The regrouping of Luminal B (HER2 negative), a better discriminator of outcome and recurrence score by Zheng‐Jun Yang, Yu‐Xiao Liu, Yue Huang, Zu‐Jin Chen, Hao‐Zhi Zhang, Yue Yu, Xin Wang, Xu‐Chen Cao

“…Considering the heterogeneity of Luminal B BC, a more accurate classification model is urgently needed. Methods In this study, we retrospectively reviewed the data of 1603 patients who were diagnosed with HER2‐negative breast invasive ductal carcinoma. …”
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Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method by Zi-Bin Li, Zi-Bin Li, Deng-Pan Qiao, Deng-Pan Qiao, Tian-Yu Yang, Tian-Yu Yang

“…This finding highlights the pre-final blasting state as the critical node for stability evaluation. An ensemble model integrating Stacking, Bagging, Boosting, and Voting strategies demonstrated significant improvements in prediction accuracy and classification performance over traditional logistic regression.DiscussionFinally, validation in high-stress stopes at 600–1000 m depths confirmed the model’s generalization capability, offering a data-mechanism dual-driven decision framework for structural parameter design in deep open stopes.…”
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Techno-economic and life-cycle analysis of strategies for improving operability and biomass quality in catalytic fast pyrolysis of forest residues by David N. Thompson, Damon S. Hartley, Matthew R. Wiatrowski, Jordan Klinger, Rajiv Paudel, Longwen Ou, Hao Cai

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Multiclassification of Colorectal Polyps from Colonoscopy Images Using AI for Early Diagnosis by Jothiraj Selvaraj, Kishwar Sadaf, Shabnam Mohamed Aslam, Snekhalatha Umapathy

“…To facilitate real-time interaction and clinical applicability, a user-friendly interface was developed using Gradio, allowing healthcare professionals to upload colonoscopy images and receive instant classification results. <b>Conclusions:</b> The CRP-ViT model effectively predicts and categorizes colonoscopy images into clinically relevant classes, aiding gastroenterologists in decision-making. …”
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Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit by Mengke Ma, Jiatong Liu, Caiyun Li, Yingxue Chen, Huishu Jia, Aijie Hou, Hongzeng Xu

“…The decision curve analysis showed that the model offers a beneficial net benefit. …”
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An upscaling framework for estimating regional-scale fractional cover of Chinese fir (FCCF) by integrating UAV and satellite images by Houxi Zhang, Jianwei Cai, Minghui Cai, Xunlong Chen, Yiming Sun, Kun Chen, Shijiang Cao, Jianling Ren

“…The resulting binary classification maps were then aggregated to different spatial resolutions and linked with Sentinel-2A (10 m and 20 m) and Landsat 8 OLI (30 m) data to develop FCCF estimation models. …”
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Early Detection of Fetal Health Conditions Using Machine Learning for Classifying Imbalanced Cardiotocographic Data by Irem Nazli, Ertugrul Korbeko, Seyma Dogru, Emin Kugu, Ozgur Koray Sahingoz

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Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

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A Multi-Scale Adaptive Fusion Network: End-to-End Interpretable Small-Sample Classifier for Motor Imagery EEG by Qiulei Han, Yan Sun, Ze Song, Hongbiao Ye, Tingwei Chen, Jian Zhao

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Biocomposite’s Multiple Uses for a New Approach in the Diagnosis of Parkinson’s Disease Using a Machine Learning Algorithm by Abdallah Al-Husban, Mustafa Mahdi Abdulridha, A. A. Hamad Mohamad, Abdelrahman Mohamed Ibrahim

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Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma by Hussein Naji, Paul Hahn, Juan I. Pisula, Stefano Ugliano, Adrian Simon, Reinhard Büttner, Katarzyna Bozek

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A novel blockchain technology-based supply chain coordination considering classified after-sales services of electronic products by Xiaoqing Huang, Rui Chen, Yanhong Wan, Haiping Ren

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Target Threat Assessment Method for UUVs Based on EBM by Shuwei LIU, Jianqing CHENG, Kai LIU

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Sensor-Based Automatic Recognition of Construction Worker Activities Using Deep Learning Network by Ömür Tezcan, Cemil Akcay, Mahmut Sari, Muhammed Cavus

“…To this end, sensor data were collected from eleven different body locations across five construction workers, encompassing six distinct construction-related activities. Three separate recognition experiments were conducted using (i) acceleration sensor data, (ii) position sensor data, and (iii) a combined dataset comprising both acceleration and position data. …”
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Detecting and localizing cervical lesions in colposcopic images with deep semantic feature mining by Li Wang, Ruiyun Chen, Jingjing Weng, Huiping Li, Shi Ying, Jinghui Zhang, Zehao Yu, Chengbin Peng, Siming Zheng

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HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment by Young-Tak Kim, Beom-Su Han, Jung Bin Kim, Jason K. Sa, Je Hyeong Hong, Yunsik Son, Jae-Ho Han, Synho Do, Ji Seon Chae, Jung-Kwon Bae

“…Additionally, the classification of varus deformity stages was conducted to evaluate the model's ability to provide clinically relevant categorizations. …”
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Intratumoral and peritumoral multiparametric MRI-based radiomics nomogram for preoperative risk stratification in patients with endometrial cancer by Bin Yan, Tingting Zhao, Ying Deng, Jianrong Lu, Guoqing Wang

“…As per the guidelines of the European Society of Medical Oncology, patients were categorized into four risk groups: low, intermediate, high-intermediate, and high. Binary classification models were subsequently constructed to distinguish between low- and non-low-risk individuals. …”
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Exploring the influence of endometritis diagnostic criteria on uterine involution, milk yield and fertility in dairy cows by Dawid Tobolski, M. Krupa, Z. Polak, O. B. Pascottini, G. Opsomer, W. Barański

“…The health status of the cows was classified using two diagnostics models. Model 1 categorized cows as healthy (H; <5% PMN and absence of purulent vaginal discharge [PVD0]), subclinical endometritis (SE; ≥5% PMN and PVD0), and further subdivided PVD into three categories: flecks of pus in vaginal discharge (PVD1), mucopurulent discharge (PVD2), or purulent discharge including red-brownish watery fetid discharge (PVD3), irrespective of endometrial PMN%. …”
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