Improving SVM performance through data reduction and misclassification analysis with linear programming by Carlos Aníbal Suárez, Mauricio Castro, Mariuxi Leon, Carlos Martin-Barreiro, Michael Liut

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Enhancing Thyroid Nodule Assessment With UTV-ST Swin Kansformer: A Multimodal Approach to Predict Invasiveness by Yufang Zhao, Yue Li, Yanjing Zhang, Xiaohui Yan, Guolin Yin, Liping Liu

“…The model classifies nodules into three categories: non-invasive, central lymph node metastasis (CLNM), and central plus lateral lymph node metastasis (CLNM+LLNM). …”
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Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction by Lingyao Wang, Chenyue Pan, Haitao Zhao, Mingyi Ji, Xinren Wang, Junchen Yuan, Miao Liu, Donglai Jiao

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A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection by Siyuan Chen, Zhen Wang, Hao Wang, Shuai Wang, Yang Li, Yang Li, Bing Wang

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Evaluating groundwater potential with the synergistic use of geospatial methods and advanced machine learning approaches by Vicky Anand, Vishnu D. Rajput, Tatiana Minkina, Saglara Mandzhieva, Aastha Sharma, Deepak Kumar, Sunil Kumar

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Integration of Remote Sensing and GIS for Urban Sprawl Monitoring in European Cities by Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Dimitrios Kalfas, Fotios Chatzitheodoridis, Fani Tziampazi

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A study on improved random forest-based anomaly detection of regional tariff data under distributed photovoltaic access by Shujun Ji, Kai Liu, Bo Ling, Jiadong Li, Jinteng Wang, Xun Ma

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Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review by Matheus Lima Diniz Araujo, Trevor Winger, Samer Ghosn, Carl Saab, Jaideep Srivastava, Louis Kazaglis, Piyush Mathur, Reena Mehra

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Hybrid AI-Powered Real-Time Distributed Denial of Service Detection and Traffic Monitoring for Software-Defined-Based Vehicular Ad Hoc Networks: A New Paradigm for Securing Intelli... by Onur Polat, Saadin Oyucu, Muammer Türkoğlu, Hüseyin Polat, Ahmet Aksoz, Fahri Yardımcı

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Learning from low precision samples by Ji In Choi, Madeleine Georges, Jung Ah Shin, Olivia Wang, Tiffany Zhu, Tapan Shah

“…The key contributions of the paper are as follows: • For 3 standard machine learning models, Support Vector Machines, Decision Trees and Linear (Logistic) Regression, we compare the performance loss for a standard static quantization and stochastic quantization for 55 classification and 30 regression datasets with 1-8 bits quantization…”
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Machine learning study on magnetic structure of rare earth based magnetic materials by Dan Liu, Jiahe Song, Zhixin Liu, Jine Zhang, Weiqiang Chen, Yinong Yin, Jianfeng Xi, Xinqi Zheng, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Jirong Sun, Baogen Shen

“…The prediction accuracy of all models is above 0.73. Compared with non-decision tree models, optimized decision tree algorithms such as Gradient Boosting have greater advantages in binary classification. …”
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Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

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A Comprehensive Review of Digital Twins Technology in Agriculture by Ruixue Zhang, Huate Zhu, Qinglin Chang, Qirong Mao

“…Despite its promising potential, the adoption of DTs in agriculture faces several technical challenges, including data acquisition issues, integration difficulties, and the standardization of 3D crop models. Finally, we discuss future direction of DT technology, emphasizing the importance of overcoming existing barriers for wider application and sustainability.…”
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Analyzing the Influence of Accounting Information Quality on Debt Concentration: Moderating Effects of Financial Constraints and Managerial Risk Aversion by Mohsen Rashidi

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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

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Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia by Tewodros Getu Engida, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, John Barnabas

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Prioritizing disability support systems by using Tamir’s complex fuzzy Dombi aggregation operators by Jabbar Ahmmad, Meraj Ali Khan, Ibrahim Al-Dayel, Tahir Mahmood

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Incident duration prediction through integration of uncertainty and risk factor evaluation: A San Francisco incidents case study. by Amirreza Salehi, Ardavan Babaei, Majid Khedmati

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Enhancing head and neck cancer detection accuracy in digitized whole-slide histology with the HNSC-classifier: a deep learning approach by Haiyang Yu, Haiyang Yu, Wang Yu, Wang Yu, Yuan Enwu, Yuan Enwu, Yuan Enwu, Jun Ma, Jun Ma, Xin Zhao, Xin Zhao, Linlin Zhang, Linlin Zhang, Linlin Zhang, Fang Yang, Fang Yang, Fang Yang

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