Blackboard@ LMS for blended learning: Students’ views versus staff views on challenges and improvement by Mohammed O. A. Mohammed, Muhanad El Hag, Mohamed A. E. M. Ibrahim, Javed Khan

“…SAS JMP was used to perform Linear Discriminant Analysis (LDA) to show the relationships between academic staff perceptions and their recommendations from one side and the students’ perceptions and satisfactions distributed by colleges from another side, while SPSS was used to visualize the data. …”
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Data-driven seismic mechanical performance evaluation of RC columns based on adaptive optimization ensemble learning method integrating random forest and back propagation neural ne... by Ayong Jiao, Ziqing Jiao, Bin Gao

“…Current methods for analysis lack sufficient accuracy and efficiency in calculations. …”
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FloodGenome: interpretable machine learning for decoding features shaping property flood risk predisposition in cities by Chenyue Liu, Ali Mostafavi

“…The study introduces FloodGenome, an interpretable machine learning model, to assess flood risk disposition in urban areas by analyzing hydrological, topographic, and built-environment features and their interactions. …”
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Review of applications of deep learning in veterinary diagnostics and animal health by Sam Xiao, Navneet K. Dhand, Zhiyong Wang, Kun Hu, Kun Hu, Peter C. Thomson, John K. House, Mehar S. Khatkar, Mehar S. Khatkar

“…Key findings from the current body of research highlight an increase in the utilisation of DL models across various diagnostic areas from 2013 to 2024, including radiography (33% of the studies), cytology (33%), health record analysis (8%), MRI (8%), environmental data analysis (5%), photo/video imaging (5%), and ultrasound (5%). …”
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Non-Invasive Painting Pigment Classification Through Supervised Machine Learning by Michal Piotr Markowski, Solongo Gansukh, Mateusz Madry, Robert Borowiec, Jaroslaw Rogoz, Boguslaw Szczupak

“…This study presents a non-invasive approach based on supervised machine learning for classifying pigments using image data acquired under three distinct spectral illumination conditions: visible-light reflectography (VIS), ultraviolet false-color imaging (UVFC), and infrared false-color imaging (IRFC). …”
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OPTIMIZING ROAD SAFETY: THE ROLE OF GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN TRAFFIC ACCIDENT ANALYSIS AND PREDICTION by Mohammed Shukur Alfaras, Oğuz Karan, Sefer Kurnaz

Subjects: “…traffic accident analysis…”
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Exploring the Intersection of Big Data and AI With CRM Through Descriptive, Network, and Contextual Methods by Dervis Ozay, Mohammad Jahanbakth, Shouyi Wang

“…The findings highlight a significant shift toward AI-powered hyper-personalization, explainable AI, federated learning, and IoT-enhanced CRM. This study contributes by mapping the research landscape, uncovering emerging trends, and providing future research directions on the adoption and effectiveness of AI in CRM, AI ethics, the integration of IoT with AI in predictive CRM and AI-driven sentiment analysis, offering valuable insights for scholars and practitioners.…”
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Big Data Meets Social Networks: A Survey of Analytical Strategies and Research Challenges by Shashank Sheshar Singh, Shashank Singh, Kuldeep Singh, Vishal Srivastava, Harish Kumar Shakya

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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Permeability measurements are obtained from core and well test analysis, which are too expensive and not available for many wells. …”
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Enhancing Real-Time Emotion Recognition in Classroom Environments Using Convolutional Neural Networks: A Step Towards Optical Neural Networks for Advanced Data Processing by Nuphar Avital, Idan Egel, Ido Weinstock, Dror Malka

“…Recognizing and engaging with emotionally positive students has been shown to foster better learning outcomes, as their enthusiasm actively stimulates cognitive engagement and information analysis. …”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Significant variables were identified through logistic regression, and 12 machine learning algorithms were used to construct diagnostic models, which were evaluated using Receiver Operating Characteristic (ROC) analysis, calibration, and Decision Curve Analysis (DCA). …”
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Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

“…Traditional auditing methods have difficulties in detecting various financial issues hidden in massive amounts of data. With the continuous advancement of deep learning and digital technology, new audit methods have been provided for computer auditing. …”
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A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events by Muhammad Salman Pathan, Pardhu Nadella, Yasin Ul Haq, Soumini Chaudhury, Jiantao Wu, Avishek Nag, Soumyabrata Dev

“…By analyzing five years of weather data from three weather stations in the United States, Canada, and Ireland, the study delves into the interactions between meteorological features and rainfall occurrences. …”
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Multi-fusion strategy network-guided cancer subtypes discovering based on multi-omics data by Jian Liu, Xinzheng Xue, Pengbo Wen, Qian Song, Jun Yao, Shuguang Ge

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Synthetic Sentiment Cue Enhanced Graph Relation-Attention Network for Aspect-Level Sentiment Analysis by Hongwei Tang, Haining Yan, Ran Song

“…Aspect-level Sentiment Analysis (ASA) constitutes a critical task in natural language processing, aimed at detecting and classifying sentiment polarities associated with specific aspects in textual data. …”
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A Catalog of 12,766 Carbon-enhanced Metal-poor Stars from LAMOST Data Release 8 by Ziyu Fang, Xiangru Li, Haining Li

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The integration of explainable AI in Educational Data Mining for student academic performance prediction and support system by Md. Mahmudul Islam, Farhad Hossain Sojib, Md. Fazle Hasan Mihad, Mahmudul Hasan, Mahfujur Rahman

“…To provide proper direction to students, we also developed a support system that uses the trained model from our analysis and provides recommendations and suggestions based on the input data. …”
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A Smart Housing Recommender for Students in Timișoara: Reinforcement Learning and Geospatial Analytics in a Modern Application by Andrei-Sebastian Nicula, Andrei Ternauciuc, Radu-Adrian Vasiu

“…This paper proposes a solution that overcomes these issues by integrating real-time open listing ingestion, zone-level geospatial enrichment, and a reinforcement-learning recommender into one streamlined analysis pipeline. …”
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The effect of problem-based learning on improving problem-solving, self-directed learning, and critical thinking ability for the pharmacy students: A randomized controlled trial an... by Tu Chen, Yi-Jing Zhao, Feng-Qing Huang, Qun Liu, Ying Li, Raphael N Alolga, Lei Zhang, Gaoxiang Ma

“…Eligible studies with effective data were included and the valuable data were extracted for analysis. …”
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FINE-TUNING RESNET50V2 WITH ADAMW AND ADAPTIVE TRANSFER LEARNING FOR SONGKET CLASSIFICATION IN LOMBOK by Erfan Wahyudi, Bahtiar Imran, Zaeniah, Surni Erniwati, Muh Nasirudin Karim, Zumratul Muahidin

“…During the training process, fine-tuning was applied to the last layer of ResNet50V2, and optimization was performed using AdamW with a learning rate of 0.0001. The model was evaluated using a confusion matrix, classification report, and analysis of accuracy and loss. …”
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