Review of Data-driven Decision Support Systems and Methodologies for the Diagnosis of Casting Defects by A. Burzyńska

“…The digital transformation of traditional companies into innovative smart factories is made possible by the potential of Artificial Intelligence (AI), which is able to perform predictive analytics inspired by the development of Industrial Internet of Things (IoT) technologies or to support highly complex decision-making, in the era of zero-defect manufacturing. …”
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A quality assessment algorithm for no-reference images based on transfer learning by Yang Yang, Chang Liu, Hui Wu, Dingguo Yu

“…Experimental results on authentically distorted datasets (KonIQ-10k, BIQ2021), synthetically distorted datasets (LIVE, TID2013), and an artificial intelligence (AI)-generated content dataset (AGIQA-1K) show that the proposed IQA-NRTL algorithm significantly improves performance compared to mainstream no-reference IQA algorithms, depending on variations in image content and complexity.…”
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Impact of Weather Factors on Unmanned Aerial Vehicles’ Wireless Communications by Lalan Mishra, Naima Kaabouch

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Environmental Applications of Mass Spectrometry for Emerging Contaminants by Anil Kumar Meher, Akli Zarouri

“…However, recent advancements, including hybrid MS systems and the integration of artificial intelligence (AI), are paving the way for more efficient environmental monitoring and predictive modeling of contaminant behavior. …”
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Remote Facial Expression and Heart Rate Measurements to Assess Human Reactions in Glass Structures by Chiara Bedon, Silvana Mattei

“…This study takes advantage of static/dynamic Virtual Reality (VR) environments and facial expression analyses, with Artificial Intelligence tools that are used to measure both Action Units (AUs) of facial microexpressions and optical heart rate (HR) acquisitions of volunteers exposed to VR scenarios. …”
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A Novel Approach to Discriminate Between Structural and Non-Structural Post-Earthquake Damage in RC Structures by Beyza Gultekin, Gamze Dogan

“…In this study, an artificial intelligence-based damage assessment algorithm has been developed to accurately and quickly differentiate between structural and non-structural damage. …”
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Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey by Deepak Bhaskar Acharya, Karthigeyan Kuppan, B. Divya

“…Agentic AI, an emerging paradigm in artificial intelligence, refers to autonomous systems designed to pursue complex goals with minimal human intervention. …”
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Analytical, Dynamic, and Interactive Platform for Generation and Managing Predictive Models Focused on Energy Sector by Inés Romero, Alberto Ochoa-Zezzati

“…Mexico has great potential for wind energy in the Eastern region and, to meet this challenge, a platform capable of generating forecast models automatically through mathematical techniques and artificial intelligence and managing them is proposed aimed at providing support based on knowledge and presenting the information graphically through a flexible dashboard, which is customizable and accessible when and where required. …”
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Analysis of Emotional Deconstruction and the Role of Emotional Value for Learners in Animation Works Based on Digital Multimedia Technology by Shilei Liang

“…With the rapid development of artificial intelligence and digital media technology, modern animation technology has greatly improved the creative efficiency of creators through computer-generated graphics, electronic manual painting, and other means, and its number has also experienced explosive growth. …”
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Recursive Neural Network-Based Market Demand Forecasting Algorithm for Calligraphy Practice Products by Yi Xue

“…However, with the development of the Internet culture industry and influenced by objective factors such as school holidays and seasons, the current market demand for calligraphy practice products is rapidly and dynamically changing, making market changes difficult to grasp and leading to poor sales, which directly affects the profits of calligraphy practice product-related companies. The artificial intelligence neural network method realizes the nonlinear relationship between the input and output of sample data through the self-learning ability of each neuron and has a certain nonlinear mapping ability in prediction, which plays a great role in the market demand prediction of many commercial products. …”
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Deep Learning for Plastic Waste Classification System by Janusz Bobulski, Mariusz Kubanek

“…The plastic waste may be automatically chosen on a transmission belt for waste removal by using methods of image processing and artificial intelligence, especially deep learning, to improve the recycling process. …”
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Comparative Analysis of Deep Learning Techniques for Load Forecasting in Power Systems Using Single-Layer and Hybrid Models by Jiyeon Jang, Beopsoo Kim, Insu Kim

“…To overcome these difficulties, the authors proposed a simpler way to predict load by using artificial intelligence. This study investigated the performance of forecasting techniques, including three single-layer and seven hybrid multilayer deep learning models that combine them. …”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…Classification models were applied using the KNIME platform and the WEKA tool to analyze students' performance in three courses: database technology, artificial intelligence, and image processing in the ICT degree program. …”
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Vehicle Detection in Different Environments by Mohsen Valizadehasl, Mohammad Badpeima, Sahar Khosraviyan Zahedani

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Secure UAV-Based System to Detect Small Boats Using Neural Networks by Moisés Lodeiro-Santiago, Pino Caballero-Gil, Ricardo Aguasca-Colomo, Cándido Caballero-Gil

“…The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles (UAV) combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. …”
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Causal Relationships Between the Use of AI, Therapeutic Alliance, and Job Engagement Among Psychological Service Practitioners by Boshra A. Arnout, Sami M. Alshehri

“…The sample consisted of (382) mental health service providers in Saudi Arabia, including 178 men and 204 women between 25 and 50 (36.32 ± 6.43) years old. The Artificial Intelligence Questionnaire, the Therapeutic Alliance Scale, and the Job Engagement Scale were applied in this study. …”
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Safeguards-related event detection in surveillance video using semi-supervised learning approach by Se-Hwan Park, Byung-Hee Won, Seong-Kyu Ahn

“…Our model is designed after a comprehensive analysis of the trends in artificial intelligence-based models to identify abnormal events in video. …”
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Improving Diabetic Patients Monitoring System Using (NCA-CNN) Algorithm based on loT by Ayas Talib Mohammad, Jaber Parchami

“… The Internet of Things (IoT) and Artificial Intelligence (AI), particularly Machine Learning (ML), have both seen significant advancements in recent years, which has resulted in significant leaps forward in the development of health monitoring systems. …”
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Trends and collaborations in case-based learning for online health education: a bibliometric analysis (2014-2024) by Agung Budiawan, Murti Kusuma Wirasti, Dwi Kusumawardani

“…In addition, integrating educational technologies such as digital simulation platforms and artificial intelligence (AI) has strengthened the adoption of CBL in online environments. …”
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Retraksi: Penerapan Data Mining Menggunakan Algoritma Apriori untuk Menentukan Pola Penyebab Gelandangan dan Pengemis by Wirta Agustin, Yulya Muharmi

“…Alasan pembatalan penerbitan adalah artikel tersebut juga telah terbit di Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) pada Volume 1 No. 2, September 2018 dengan judul "Apriori Algorithm through RapidMiner for Age Patterns of Homeless and Beggars" dan link http://ejournal.uin-suska.ac.id/index.php/IJAIDM/article/view/5670. …”
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