Data-driven analysis of climate impact on tomato and apple prices using machine learning by Sunghyun Yoon, Tae-Hwa Kim, Dong Sub Kim

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GTA-Net: An IoT-integrated 3D human pose estimation system for real-time adolescent sports posture correction by Shizhe Yuan, Li Zhou

“…With the advancement of artificial intelligence, 3D human pose estimation-based systems for sports training and posture correction have gained significant attention in adolescent sports. …”
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The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network by A.V. Medvedev, B. Lehmann

“…Power-to-power coupling (PPC) is one form of coupling with significant research attesting to its neurobiological significance as well as its computational efficiency, yet has been hitherto unexplored within seizure classification literature. New artificial intelligence methods such as deep learning neural networks can provide powerful tools for automated analysis of EEG. …”
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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

“…Decentralized Autonomous Organizations (DAOs) are incorporated to decentralize control and reinforce security, while artificial intelligence and metaverse integration facilitate user engagement and streamline operations. …”
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A geometric neural solving method based on a diagram text information fusion analysis by Bin Ma, Pengpeng Jian, Cong Pan, Yanli Wang, Wei Ma

“…Abstract The long-standing problem of geometric problem solving in artificial intelligence education has attracted widespread attention. …”
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τJOWL: A Systematic Approach to Build and Evolve a Temporal OWL 2 Ontology Based on Temporal JSON Big Data by Zouhaier Brahmia, Fabio Grandi, Rafik Bouaziz

“…Nowadays, ontologies, which are defined under the OWL 2 Web Ontology Language (OWL 2), are being used in several fields like artificial intelligence, knowledge engineering, and Semantic Web environments to access data, answer queries, or infer new knowledge. …”
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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

“…Abstract Achieving accurate and generalized autonomous navigation in unknown environments poses a significant challenge in robotics and artificial intelligence. Animals exhibits superlative navigation capabilities by combining the representation of internal neurals and sensory cues of self-motion and external information. …”
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Exploring the Links Between Employee Resilience and Career Satisfaction: The Roles of Job Crafting and STARA Awareness by Dilek Yılmaz Börekçi, Cem Güney Özveren, Merve Gerçek

“…Also, this study examines whether smart technology, artificial intelligence, robotics, and algorithms (STARA) awareness moderates the relationship between those variables. …”
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Adaptive Recognition of Motion Posture in Sports Video Based on Evolution Equation by Rui Yuan, Zhendong Zhang, Yanyan Le, Enqing Chen

“…The application of artificial intelligence technology to the training of athletes to recognize athletes’ posture can help coaches assist in decision-making and greatly enhance athletes’ competitive ability. …”
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Computer Vision System for Facial Palsy Detection by Ali Saber Amsalam, Ali Al-Naji, Ammar Yahya Daeef, Javaan Chahl

“…Therefore, it is important to develop a new method for detecting FP through artificial intelligence and use a more accurate computerized system to reduce the effort and cost of patients and increase the accuracy of diagnosis. …”
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Informed consent in dementia research: how Public Involvement can contribute to addressing “old” and “new” challenges by Ana Diaz, Cindy Birck, Angela Bradshaw, Jean Georges, Daphne Lamirel, Soraya Moradi-Bachiller, Dianne Gove

“…., new types of research such as artificial intelligence and data sharing/re-use) in dementia research.…”
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Entropic imprints on bioinformatics by Ismail Mageed

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Decolonising AI: A critical approach to education and social justice by Dean Collin Langeveldt, Doniwen Pietersen

“…Artificial intelligence (AI) technologies present significant opportunities for education, enabling personalised learning, data-driven decision-making, and innovative pedagogy, particularly in higher education environments. …”
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A systematic review of AI-enhanced techniques in credit card fraud detection by Ibrahim Y. Hafez, Ahmed Y. Hafez, Ahmed Saleh, Amr A. Abd El-Mageed, Amr A. Abohany

“…This paper provides a systematic review of enhanced techniques using Artificial Intelligence (AI), machine learning (ML), deep learning (DL), and meta-heuristic optimization (MHO) algorithms for credit card fraud detection (CCFD). …”
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Bridging theory and practice in peer-to-peer energy trading: market mechanisms and technological innovations by Pravesh Raghoo, Kalim Shah

“…Enabling technologies discussed are Energy Internet, Internet of Things, Artificial intelligence, Blockchain, Communication networks, and battery flexibility. …”
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Development of Nursing Education in Line with Technological Developments in Health Care by Leila Valizadeh, Hossein Nemati

“…Some new technologies include virtual reality stimulation (VR), augmented reality (AR), Metaverse, blockchain technology, the Internet of Things (IoT), and artificial intelligence, which are used to provide opportunities to transfer information, improve learning, and reduce learning problems. …”
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AI-based quality assessment methods for protein structure models from cryo-EM by Han Zhu, Genki Terashi, Farhanaz Farheen, Tsukasa Nakamura, Daisuke Kihara

“…Recent advancements have introduced artificial intelligence (AI) into this field. These emerging AI-driven tools offer unique capabilities in the validation and refinement of cryo-EM-derived protein atomic models, potentially leading to more accurate protein structures and deeper insights into complex biological systems.…”
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Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models by Rolando Antonio Gilbert Zequera, Anton Rassolkin, Toomas Vaimann, Ants Kallaste

“…With the continuous development of Artificial Intelligence (AI), designing accurate algorithms that provide diagnostics and maintenance of energy technologies is a challenging task in the energy transition domain. …”
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A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…This paper proposes employing ensemble learning methods and explainable artificial intelligence tools to build an accurate data-driven model. …”
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Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…With the high-speed development of artificial intelligence, machine learning methods have become key technologies for intelligent exploration, development, and production in oil and gas fields. …”
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