Machine Learning-Based Classification and Statistical Analysis of Liver Cancer: A Comprehensive Study of Model Performance and Clinical Significance by Pratyush Kumar MAHARANA, Tapan Kumar BEHERA, Pradeep Kumar NAIK

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Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis by Huan-Zhong Su, Dao-Hui Yang, Long-Cheng Hong, Yu-Hui Wu, Kun Yu, Zuo-Bing Zhang, Xiao-Dong Zhang

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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…However, applying deep learning models to LiDAR-based tree classification remains challenging due to the computational complexity of existing 3D architectures, which often struggle with scalability and practical large-scale implementation. …”
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Model Klasifikasi Machine Learning untuk Prediksi Ketepatan Penempatan Karir by Hendri Mahmud Nawawi, Agung Baitul Hikmah, Ali Mustopa, Ganda Wijaya

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Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model by S. M. Mahim, Md. Shahin Ali, Md. Olid Hasan, Abdullah Al Nomaan Nafi, Arefin Sadat, Shakib Al Hasan, Bryar Shareef, Md. Manjurul Ahsan, Md. Khairul Islam, Md. Sipon Miah, Ming-Bo Niu

“…The model was trained on the Alzheimer’s MRI Preprocessed Dataset obtained from Kaggle, achieving notable accuracies of 99.53% for 4-class and 99.69% for binary classification. …”
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Implementation of Several Data Mining Strategies on Electronic Nose Data for Identifying Gluten in Cheese by Mohammad Nasiri-Galeh, Mahdi Ghasemi-Varnamkhasti

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Predicting Online Learners’ Performance Through Ontologies: A Systematic Literature Review by Safa Ridha Albo Abdullah, Ahmed Al-Azawei

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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery by Kai Chen, Xiao Zhai, Ziqiang Chen, Haojue Wang, Mingyuan Yang, Changwei Yang, Yushu Bai, Ming Li

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Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics by Krutika Patidar, Nikhil Pillai, Saroj Dhakal, Lindsay B. Avery, Panteleimon D. Mavroudis

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Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays by Chelsea E. Harris, Lingling Liu, Luiz Almeida, Carolina Kassick, Sokratis Makrogiannis

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A novel model based on clinical and computed tomography (CT) indices to predict the risk factors of postoperative major complications in patients undergoing pancreaticoduodenectomy by Jiaqi Wang, Kangjing Xu, Changsheng Zhou, Xinbo Wang, Junbo Zuo, Chenghao Zeng, Pinwen Zhou, Xuejin Gao, Li Zhang, Xinying Wang

“…Visceral adipose volume (VAV) and subcutaneous adipose volume (SAV) were measured using three-dimensional (3D) computed tomography (CT) reconstruction. …”
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Towards transparency in AI: Explainable bird species image classification for ecological research by Samparthi V.S. Kumar, Hari Kishan Kondaveeti

“…This study addresses these issues by employing Explainable Artificial Intelligence (XAI) to enhance the transparency of deep learning models for bird species image classification. In this paper, a three-stage XAI-based approach is proposed, involving transfer learning, Local Interpretable Model-Agnostic Explanations (LIME), and Intersection over Union (IoU) scores to assess model performance. …”
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TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines by Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

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Unveiling postpartum PTSD: predicting risk factors using decision trees and logistic regression in Chinese women by Xiao Fei Nie, Lan Lan Xu, Wen Ping Guo, Jin Hui Li, Li Cheng, Tao Tao Zhang, Jun-Yan Li

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Analisis Loyalitas Pelanggan Berbasis Model Recency, Frequency, dan Monetary (RFM) dan Decision Tree pada PT. Solo by Basri Basri, Windu Gata, Risnandar Risnandar

“…RFM clustering model and Decision Tree classification have produced outlet attributes that affect the accuracy value of 67.54%. …”
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Comparative Analysis of Classification Algorithms for Predicting Membership Churn in Fitness Centers: Case Study and Predictive Modeling at EightGym Indonesia by Dewi Lestari Mu'ti, Putri Taqwa Prasetyaningrum

“…Additionally, the model was implemented in a web-based prototype application to support gym management decision-making. …”
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DeB3RTa: A Transformer-Based Model for the Portuguese Financial Domain by Higo Pires, Leonardo Paucar, Joao Paulo Carvalho

“…These findings underscore the efficacy of mixed-domain pretraining in building high-performance language models for specialized applications. With its robust performance in complex analytical and classification tasks, DeB3RTa offers a powerful tool for advancing NLP in the financial sector and supporting nuanced language processing needs in Portuguese-speaking contexts.…”
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Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC by Muhammad Ricky Perdana Putra, Ema Utami

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Poisonous Plant Prediction Using Explainable Deep Inherent Learning Model by Ahmed S. Maklad, Ashraf Alyanbaawi, Mohammed Farsi, Hani M. Ibrahim, Mahmoud Elmezain

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Deep Learning-Based Spatial Prediction of Landslide Risk in Coastal Areas Using GIS and Multicriteria Decision Making: A DeepLabV3+ Approach by Huyong Yan, Asad Khan, Ahsan Jamil, Belkendil Abdeldjalil, Taoufik Saidani, Nazih Y. Rebouh

“…Our results show an overall accuracy of 91.3%, a mean intersection over union of 82.5%, and an F1-score of 88.4%, demonstrating strong classification performance throughout a range of land cover types. …”
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