Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention by Fawaz Khaled Alarfaj, Shabnam Shahzadi

“…Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results. …”
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Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment by An Zichen, Li Fan

“…Deep learning (DL), as one of the most powerful machine learning techniques in the field of artificial intelligence (AI), has the ability to automatically select features from raw data, achieving remarkable advancements in breast US imaging. …”
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Proposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance by Leonel Patrício, Leonilde Varela, Zilda Silveira

“…Future research could explore integrating big data and AI to further improve prediction accuracy. This model demonstrates that integrating RPA and ML leads to operational improvements, cost reductions, and environmental benefits, contributing to the sustainability of industrial operations.…”
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Toward cultural interpretability: A linguistic anthropological framework for describing and evaluating large language models by Graham M Jones, Shai Satran, Arvind Satyanarayan

“…By focusing attention on the communicative competence involved in the way human users and AI chatbots coproduce meaning in the articulatory interface of human-computer interaction, CI emphasizes how the dynamic relationship between language and culture makes contextually sensitive, open-ended conversation possible. …”
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50 Years of scientific thought on Machine Diagnostics in PolanD anD its influence on MaritiMe aPPlications by Klekot Grzegorz, Dąbrowski Zbigniew, Dziurdź Jacek

“…This formulation of the task opens up avenues for AI methods. Attention is paid to the fact that maritime shipping is one of the main fields of application for modern diagnostic methods, and it is shown that the increase in the accuracy of vibroacoustic diagnostics techniques and the correctness of the diagnosis allows for the use of this methodology in marine applications.…”
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Green buildings: Requirements, features, life cycle, and relevant intelligent technologies by Siyi Yin, Jinsong Wu, Junhui Zhao, Michele Nogueira, Jaime Lloret

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A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms by Saad Alghamdi, Ben Soh, Alice Li

“…Moreover, incorporating feature selection methods and explainable AI techniques can enhance the interpretability of these models, making them more actionable for educators and course designers. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…With the widespread application of Artificial Intelligence (AI) and Machine Learning (ML) in medical field, early diagnosis of brain tumors has become increasingly significant. …”
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Analysis on the Particularity of Higher Education Subject Development under the Background of Artificial Intelligence by Yancai Wang

“…The subject development quality is evaluated using machine learning (ML) and artificial intelligence (AI) techniques. The existing researchers use intelligent techniques to identify student academic performance. …”
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Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review by Mohamad Hazwan Mohd Ghazali, Wan Rahiman

“…It involves data acquisition (instrument applied such as analyzer and sensors), feature extraction, and fault recognition techniques using artificial intelligence (AI). Several research questions (RQs) are aimed to be answered in this manuscript. …”
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Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions by Kamilya Smagulova, Mohammed E. Fouda, Ahmed Eltawil

“…The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases <inline-formula> <tex-math notation="LaTeX">$\text{R}_{ON}/\text{R}_{OFF}$ </tex-math></inline-formula> ratio and negatively affects the achieved accuracy and reliability of the hardware. …”
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A guide for active learning in synergistic drug discovery by Shuhui Wang, Alexandre Allauzen, Philippe Nghe, Vaitea Opuu

“…Abstract Synergistic drug combination screening is a promising strategy in drug discovery, but it involves navigating a costly and complex search space. While AI, particularly deep learning, has advanced synergy predictions, its effectiveness is limited by the low occurrence of synergistic drug pairs. …”
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Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). …”
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Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks by Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu

“…Artificial neural networks (ANN), an Artificial Intelligence (AI) technique, are both bio-inspired and nature-inspired models that mimic the operations of the human brain and the central nervous system that is capable of learning. …”
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Evolution of the Web: from Web 1.0 to 4.0 by Asaad Khaleel Ibrahim

“…Big data, augmented reality, machine-to-machine communication (M2M), cloud computing, and artificial intelligence (AI) technologies, as well as smart agents, will be able to integrate in the future years. …”
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Corrections to &#x201C;Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing&#x201D; by Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

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Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review by Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta

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Deep Learning in Music Generation: A Comprehensive Investigation of Models, Challenges and Future Directions by Kong Xiangchen

“…Reinforcement Learning models, such as MusicRL, combine human feedback to fine-tune AI-generated compositions based on the individual's preferences. …”
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Problems and Tasks of Higher Pedagogical Education at the Present Stage of Country’s Development by G. A. Bordovsky

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La langue comme clé mais d’autres clefs que la langue : douze ans de recompositions mistraliennes en Provence‑Alpes‑Côte‑d’Azur by Danièle Dossetto

“…Volontairement depuis, j'ai poursuivi l'observation, équilibrant autant que faire se peut les observations entre les divers protagonistes. …”
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