BACAD: AI-based framework for detecting vertical broken access control attacks by Ahmed Anas, Ayman A. Alhelbawy, Salwa El Gamal, Basheer Youssef

“…The detection process consists of two steps. The first step is user role classification using an advanced artificial intelligence (AI) model created in a learning phase. …”
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A pragmatic macroeconomic default risk adjustment in developing countries by Suben Moodley, Tanja Verster, Helgard Raubenheimer

“…Additionally, we provide practical guidelines and step-by-step recommendations for practitioners seeking to implement macroeconomic adjustments in PD estimation.…”
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Using Physics-Informed Neural Networks for Modeling Biological and Epidemiological Dynamical Systems by Amer Farea, Olli Yli-Harja, Frank Emmert-Streib

“…Physics-Informed Neural Networks (PINNs) have emerged as a powerful approach for integrating physical laws into a deep learning framework, offering enhanced capabilities for solving complex problems. …”
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Exploring quantum control landscape and solution space complexity through optimization algorithms and dimensionality reduction by Haftu W. Fentaw, Steve Campbell, Simon Caton

“…Evaluations of traditional control techniques and machine learning algorithms reveal that Genetic Algorithms (GA) outperform Stochastic Gradient Descent (SGD), while Q-learning (QL) shows great promise compared to Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO). …”
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Developing Entrustable Professional Activities for Chemical Pathology registrars in South Africa by Rivak Punchoo, Tahir S. Pillay

“…Contribution: Charting the early steps in developing EPAs for training Chemical Pathology registrars in South Africa identifies the application of the educational tenet of constructive alignment, utilising a standardised template for EPA design, validating draft EPAs and creating equitable learning opportunities for all trainees.…”
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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Future work could focus on addressing the computational complexity of hybrid models, which arises from sequential training steps that combine physical and ML models.…”
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A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories by Ahmed M. Abd El-Haleem, Mohab Mohammed Eid, Mahmoud M. Elmesalawy, Hadeer A. Hassan Hosny

“…Using mouse dynamics fetching, the system extracts features and evaluates them to determine if the student has built the experiment steps in the right way or not. A comparison study has been developed between different Machine Learning (ML) models and a number of performance metrics are calculated. …”
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A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance by Guifu Ma, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The proposed hybrid method includes three main steps: (1) preprocessing of hyperspectral image cubes, (2) deep feature extraction using the EfficientNet model, and (3) classification using Manhattan distance within a few-shot learning framework. …”
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Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine by Hamid Sabbaghi, Seyed Hassan Tabatabaei, Nader Fathianpour

“…Therefore, detecting metal resources under barren cover is a significant step for industrial progress. The application of optimized machine learning algorithms is critical for detecting undiscovered deposits under barren cover. …”
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Control-Oriented Real-Time Trajectory Planning for Heterogeneous UAV Formations by Weichen Qian, Wenjun Yi, Shusen Yuan, Jun Guan

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Large language models for ingredient substitution in food recipes using supervised fine-tuning and direct preference optimization by Thevin Senath, Kumuthu Athukorala, Ransika Costa, Surangika Ranathunga, Rishemjit Kaur

“…We further experiment with methods such as multi-task learning, two-stage fine-tuning, and Direct Preference Optimization (DPO). …”
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A Multimodal Fatigue Detection System Using sEMG and IMU Signals with a Hybrid CNN-LSTM-Attention Model by Soree Hwang, Nayeon Kwon, Dongwon Lee, Jongman Kim, Sumin Yang, Inchan Youn, Hyuk-June Moon, Joon-Kyung Sung, Sungmin Han

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Synergizing neural networks with multi-objective thermal exchange optimization and PROMETHEE decision-making to improve PCM-based photovoltaic thermal systems by Yongxin Li, Ali Basem, As'ad Alizadeh, Pradeep Kumar Singh, Saurav Dixit, Hanaa Kadhim Abdulaali, Rifaqat Ali, Pancham Cajla, Husam Rajab, Kaouther Ghachem

“…This study addresses the integration of machine learning (ML) and artificial intelligence (AI) for optimizing photovoltaic-thermal (PVT) systems. …”
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A novel approach for downscaling land surface temperature from 30 m to 10 m using land features multi-interaction by Alfred Homère Ngandam Mfondoum, Sofia Hakdaoui, Ali Mihi, Ibrahima Diba, Mesmin Tchindjang, Luc Beni Moutila, Frederic Chamberlain Lounang Tchatchouang

“…Finally, the machine learning algorithm of random forest based on different seeds achieved overall accuracy between [0.92–1]. …”
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A robust adaptive meta-sample generation method for few-shot time series prediction by Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao

“…Researchers can achieve effective TSP based on the deep learning model and a large amount of data. However, when sufficient high-quality data are not available, the performance of prediction models based on deep learning techniques may degrade. …”
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Resilience in the Internet of Medical Things: A Review and Case Study by Vikas Tomer, Sachin Sharma, Mark Davis

“…., can cause IoMT networks to become unavailable and fail to transmit the data. The first step in these situations is to recover from failure as quickly as possible, resume the data transfer, and detect the cause of faults, failures, and errors. …”
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Under the shadows of business as usual: Nationally Determined Contribution (NDC) for climate action by Netty S. R. Naiborhu, Josua Hari Mulya, Nicken Sarwo Rini, Nanda Vico

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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

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Non-Subsampled Contourlet Transform-Based Domain Feedback Information Distillation Network for Suppressing Noise in Seismic Data by Kang Chen, Guangzhi Zhang, Cong Tang, Qi Ran, Long Wen, Song Han, Han Liang, Haiyong Yi

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A Novel Optimization Approach for Revolutionizing Architectural Design in Chinese Cultural Heritage by Xueyong Li, Xiaoqing Yang

“…Using this approach, machine learning models may be taught to see patterns, fix errors, and make wise predictions under different conditions.   …”
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