Jack Mezirow Transformative Learning in Islam: A Case Study of Micro-Credential Perceptions and Students' Lifelong Learning by Rahmat Lutfi Guefara, Robingun Suyud El Syam, Mohammad Ardin Suwadi

“…This type of research is field research using qualitative methods that focus on a case study approach to investigate how transformative learning can be implemented effectively in Islamic education and how micro-credentials influence perceptions of learning. Data collection techniques used interviews, observation and documentation with sampling using purposive techniques with 10 teachers and 50 students as respondents. …”
Get full text

Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

“…The study is crucial for enhancing the server's security, preventing hacker attacks, and safeguarding sensitive data. Through preprocessing techniques such as opcode extraction and feature selection, useful pattern recognition for web shell detection is achieved. …”
Get full text

THE ROLE OF INTANGIBLE RESOURCES IN DRIVING VALUE CREATION AND SUSTAINED COMPETITIVE ADVANTAGE FOR BUSINESSES by STAN Sebastian-Emanuel, ȚÎȚU Mihai Aurel, PARASCHIV Cristian

“…The study surveyed 284 managers and CEOs from a diverse array of companies, collecting data via a structured questionnaire. The collected data were then analyzed using multiple linear regression techniques implemented through SPSS software. …”
Get full text

Exploring University Teachers’ Perceptions of Metaverse Integration in Higher Education: A Quantitative Study from China by Hasan Tınmaz, Wu Xiaolan

“…The data were analyzed using SPSS 26, applying statistical techniques such as independent sample t-tests, Analysis of Variance (ANOVA), and factor analysis to examine the influence of demographic variables on teachers’ perceptions. …”
Get full text

Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…It underscores the need for improved interpretability, real-time processing, and the integration of multi-modal data. This review serves as a valuable resource for researchers and practitioners aiming to apply or advance DL techniques in traffic scene understanding.…”
Get full text

Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events by E. Acuña Espinoza, R. Loritz, F. Kratzert, D. Klotz, D. Klotz, M. Gauch, M. Álvarez Chaves, U. Ehret

“…<p>Data-driven techniques have shown the potential to outperform process-based models in rainfall–runoff simulation. …”
Get full text

A Machine Learning Approach to Explore and Predict Student Motivation Types by Hafsa Al Ansari, Rasha Shakir Abdulwahhab Al Jassim, Rupert Ward

“…The proposed framework employs multi-source data and evaluates three machine learning techniques: Multinomial Regression, Support Vector Machine, and XGBoost. …”
Get full text

Bibliometric analysis of research trends in rigid pavement over the last decade by Sri Wiwoho Mudjanarko, Paikun Paikun, Basil David Daniel

“…However, this study has limitations in data coverage and is susceptible to biases inherent in bibliometric analysis. …”
Get full text

Comprehensive Evaluation Method of Privacy-Preserving Record Linkage Technology Based on the Modified Criteria Importance Through Intercriteria Correlation Method by Shumin Han, Yue Li, Derong Shen, Chuang Wang

“…The era of big data has brought rapid growth and widespread application of data, but the imperfections in the existing data integration system have become obstacles to its high-quality development. …”
Get full text

Brain CT image classification based on mask RCNN and attention mechanism by Shoulin Yin, Hang Li, Lin Teng, Asif Ali Laghari, Ahmad Almadhor, Michal Gregus, Gabriel Avelino Sampedro

“…Abstract Along with the computer application technology progress, machine learning, and block-chain techniques have been applied comprehensively in various fields. …”
Get full text

Machine learning-based fatigue lifetime prediction of structural steels by Konstantinos Arvanitis, Pantelis Nikolakopoulos, Dimitrios Pavlou, Mina Farmanbar

“…In this study, a dataset containing experimental data from various structural steels is used. Through preprocessing and feature selection, four techniques are explored: Polynomial Regression, Support Vector Regression (SVR), XGB Regression and Artificial Neural Network (ANN), aiming to identify the most effective algorithm. …”
Get full text

Confirmation bias in law enforcement and how debiasing interventions and mitigation strategies might help rebuild public trust: A thematic review by Segovia Richard Odin

Get full text

COMPARATIVE STUDY BETWEEN LUMBAR FACETARY BLOCKADE PERFORMED BY USG X FLUOROSCOPY IN PATIENTS WITH LUMBAR FACETARY SYNDROME by HUDSON RODRIGUES LEAL DA COSTA, MARÍLIA GABRIELA PALÁCIO GALBIATTI, MATHEUS FRANCISCO DE OLIVEIRA, RAFAEL CARBONI DE SOUZA, WILKER HERKSON DE ALMEIDA OLIVEIRA, BRUNO VIEIRA MOTTER, GUILHERME FOIZER, ANDRÉ EVARISTO MARCONDES CESAR, GABRIELLE DO AMARAL VIRGINIO PEREIRA, LUCIANO MILLER REIS RODRIGUES

“…This study compared the efficacy of both techniques. Methods: A retrospective observational study evaluated data from 30 patients with lumbar facet syndrome and divided them into two groups: USG (n = 15) and FS (n = 15). …”
Get full text

Enhancing fairness in disease prediction by optimizing multiple domain adversarial networks. by Bin Li, Xiaoqian Jiang, Kai Zhang, Arif O Harmanci, Bradley Malin, Hongchang Gao, Xinghua Shi, Alzheimer’s Disease Neuroimaging Initiative

“…Moreover, we utilize pre-trained convolutional autoencoders (CAEs) to extract deep representations of data, aiming to enhance prediction accuracy and fairness. …”
Get full text

Usage of Machine Learning for Policy Projection of Bio Solar Consumption in Indonesia by Atiq Mujtaba, Komarudin

“…This paper explores the application of machine learning (ML) techniques to project the future consumption of bio solar energy in Indonesia, aiming to inform and guide policy decisions in the energy sector. …”
Get full text

A scoping review of artificial intelligence applications in clinical trial risk assessment by Douglas Teodoro, Nona Naderi, Anthony Yazdani, Boya Zhang, Alban Bornet

“…These methods utilize diverse data sources, from molecular structures and clinical trial protocols to patient data and scientific publications. …”
Get full text

Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…Due to factors such as limited battery capacity and device heterogeneity, UE may fail to efficiently complete the local training task, and some of them may become stragglers with high-quality data. Aiming at alleviating the energy consumption challenge in a multi-task FL environment, we design an automatic Multi-Task FL Deployment (MFLD) algorithm to reach the local balancing and energy consumption goals. …”
Get full text

Wheels turning: CHO cell modeling moves into a digital biomanufacturing era by Sandeep Ranpura, Vishwanathgouda Maralingannavar, Alexandra-Gabriela Gheorghe, Edward Ma, James Morrissey, Michael J. Betenbaugh, Deniz Demirhan

“…Advances in technologies such as data-driven analysis, self-learning systems, and digital twins are reinforcing progress toward smart manufacturing, enabling the real-time control of production processes. …”
Get full text

Human Operator Mental Fatigue Assessment Based on Video: ML-Driven Approach and Its Application to HFAVD Dataset by Walaa Othman, Batol Hamoud, Nikolay Shilov, Alexey Kashevnik

“…This paper introduces an approach to human mental fatigue assessment based on the application of machine learning techniques to the video of a working operator. For validation purposes, the approach was applied to a dataset, “Human Fatigue Assessment Based on Video Data” (HFAVD) integrating video data with features computed by using our computer vision deep learning models. …”
Get full text

Predicting Value at Risk in Investment Portfolio Using Monte Carlo Simulation: The Case of The Syrian Internasional Islamic Bank by Rima Shaar, Hassan Kato, Ryan Fahmi Hikmat

“…Furthermore, the study advocates for the integration of advanced modeling techniques and real-time data to strengthen the Bank's analytical capabilities. …”
Get full text