Designing an Efficient System for Emotion Recognition Using CNN by Donia Ammous, Achraf Chabbouh, Awatef Edhib, Ahmed Chaari, Fahmi Kammoun, Nouri Masmoudi

“…Facial emotion recognition (FER) is an important subject matter in the fields of artificial intelligence (AI) since it exhibits a greater commercial potential. …”
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Prediction of earthquake by machine learning models and neural network by Xu Bohong

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GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

“…The continuous development of the field of artificial intelligence, not only makes people's lives more convenient but also plays a role in the supervision and protection of people's lives and property safety. …”
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Co-Designing Future-Based Partnership for a University-Affiliated Organization Using a Futuristic Approach by Anne Namatsi Lutomia

“…The discussion integrates futuristic elements including artificial intelligence (AI) and digital platforms, emphasizing their potential to change partnerships by bridging digital divides and fostering inclusive knowledge-sharing. …”
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The Impact of GPT Models on Education: Enhancing Learning Outcomes and Addressing Challenges by Yang Nuoya

“…This paper investigates the impact of Generative Pre-Trained Transformer (GPT) models in the field of education, a rapidly evolving area as artificial intelligence (AI) technologies become more integrated into learning environments. …”
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A Systematic Review of Deep Learning Methods Applied to Ocular Images by Oscar Julian Perdomo Charry, Fabio Augusto González Osorio

“… Artificial intelligence is having an important effect on different areas of medicine, and ophthalmology has not been the exception. …”
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Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder by Hyun Kwon

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Error-Mask-Adaptive Dynamic Filtering for Image Inpainting by Keunsoo Ko, Seunggyun Woo, Chang-Su Kim

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A policy framework for leveraging generative AI to address enduring challenges in clinical trials by Johnathon Edward Liddicoat, Gabriela Lenarczyk, Mateo Aboy, Timo Minssen, Sebastian Porsdam Mann

“…Can artificial intelligence improve clinical trial design? Despite their importance in medicine, over 40% of trials involve flawed protocols. …”
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Response to letter to the editor: Expanding perspectives on the relationship between statin potency and lipophilicity in Alzheimer’s disease management by Mar Garcia–Zamora, Gemma García–Lluch, Lucrecia Moreno, Consuelo Cháfer–Pericas, Juan Pardo

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Dual-Targeted adversarial example in evasion attack on graph neural networks by Hyun Kwon, Dae-Jin Kim

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POSITIVE HUMAN RIGHTS OBLIGATION OF STATES AND THE USE OF AUTONOMOUS WEAPON SYSTEMS DURING LAW ENFORCEMENT OPERATIONS by Berkant Akkuş

“…Autonomous weapon systems are artificial intelligence-based, modern weapon systems that can identify and destroy targets without meaningful human intervention. …”
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Warpage in wafer-level packaging: a review of causes, modelling, and mitigation strategies by Pallavi Praful, Chris Bailey

“…Warpage characterization techniques and modeling approaches, including theoretical, numerical, and emerging artificial intelligence and machine learning (AI/ML) methods, have been analyzed. …”
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UAV swarms: research, challenges, and future directions by Yunes Alqudsi, Murat Makaraci

“…Key areas such as coordinated path planning, task assignment, formation control, and security considerations are examined, highlighting how Artificial Intelligence (AI) and Machine Learning (ML) are integrated to improve decision-making and adaptability. …”
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Prospects for the development of rural labor resources under the impact of changes in the rural areas economy in the 2020s by E. A. Yugov

“…The author identifies as the main directions of changes that may occur in the 2020s in the economy of rural areas and will affect the labor resources of rural areas: the active introduction of digital technologies and artificial intelligence in agricultural production; the emergence of new rural professions and specialties and associated modernization of the personnel training system; transformation of employment of rural labor resources in connection with technological transformations in the economy; the new approach on the part of employers to social and labor relations with labor resources associated with the changes in the technological structure in rural areas; development of a modern organizational and technological paradigm for the development of the rural economy. …”
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Incorporating Multimodal Directional Interpersonal Synchrony into Empathetic Response Generation by Jingyu Quan, Yoshihiro Miyake, Takayuki Nozawa

“…These findings shed light on the connections between multimodal directional interpersonal synchrony and empathy’s emotional and cognitive aspects in artificial intelligence applications.…”
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Model pruning techniques in the Internet of things: state of the art, methods and perspectives by ZHAO Junhui, LI Huaicheng, WANG Dongming, LI Jiamin, ZHOU Yiqing, SHU Feng

“…In the context of the rapid development of Internet of things (IoT) technology, IoT devices faced challenges in running complex artificial intelligence (AI) algorithms, especially deep learning models, due to the limitations of computing power, storage space, communication bandwidth, and battery life. …”
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Cognitive Mimetics for Designing Intelligent Technologies by Tuomo Kujala, Pertti Saariluoma

“…We conclude by a practical example showing how cognitive mimetics can be a highly valuable complimentary approach for pattern matching and machine learning based design of artificial intelligence (AI) for solving specific human-AI interaction design problems.…”
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A Non-Anthropocentric Approach to The Digital Writing : Some Remarks on The Agency of Digital Writing by Sung do Kim

“…In particular in the context of artificial intelligence, it’s time to rethink the nature of writing regarding the question of agency of writing. …”
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Addressing 6 challenges in generative AI for digital health: A scoping review. by Tara Templin, Monika W Perez, Sean Sylvia, Jeff Leek, Nasa Sinnott-Armstrong

“…Generative artificial intelligence (AI) can exhibit biases, compromise data privacy, misinterpret prompts that are adversarial attacks, and produce hallucinations. …”
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