THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

“…The paper emphasizes that successful integration of AI into economic systems requires a balanced approach that promotes innovation while safeguarding social cohesion. …”
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Enhancing Real-time Herbal Plant Detection in Agricultural Environments with YOLOv8 by Ranty Deviana Siahaan, Herimanto Pardede, Iustisia Natalia Simbolon, Ivanston Simbolon, Dian Jorgy Gultom

“…This study indicates that the YOLOv8 algorithm is effective for herbal plant recognition applications in a mobile context, opening up opportunities for further development in the integration of AI technology into everyday applications.…”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…These results demonstrate the effectiveness of the integrated AI and optimization techniques in enhancing forest fire detection and prevention. …”
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The doctor and patient of tomorrow: exploring the intersection of artificial intelligence, preventive medicine, and ethical challenges in future healthcare by Paulo Santos, Paulo Santos, Isabel Nazaré, Isabel Nazaré

“…Artificial intelligence (AI) 's rapid integration into healthcare transforms medical decision-making, preventive strategies, and patient engagement. …”
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Real-World Application of Digital Morphology Analyzers: Practical Issues and Challenges in Clinical Laboratories by Hanah Kim, Mina Hur, Giuseppe d’Onofrio, Gina Zini

“…The performance variation across platforms in BM aspirates and rare-cell analysis highlights the need for AI algorithm advancements and DM analysis standardization. …”
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The role of artificial intelligence in enhancing personalized learning pathways and clinical training in dental education by Chengchen Hu, Fang Li, Shengguo Wang, Zhi Gao, Shan Pan, Maofeng Qing

“…The review also addresses the expanding integration of AI into educational settings, highlighting both the benefits and the ethical challenges, including issues related to data privacy, algorithmic bias, and the evolving role of human educators. …”
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TinyML and IoT-enabled system for automated chicken egg quality analysis and monitoring by Omoy Kombe Hélène, Martin Kuradusenge, Louis Sibomana, Ipyana Issah Mwaisekwa

“…The success of this research not only revolutionizes egg quality monitoring in the poultry industry but also sets a precedent for the integration of AI and IoT in addressing complex challenges in agricultural practices, including power management.…”
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Advancements in artificial intelligence transforming medical education: a comprehensive overview by Aliasghar Khakpaki

“…Objective: This narrative review explores the current trends, challenges, and innovations associated with the integration of AI in medical education. It aims to critically examine how AI transforms teaching and learning processes while addressing ethical concerns and practical barriers. …”
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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…However, integration requires addressing ethical dilemmas, improving multimodal data processing, and ensuring human-AI collaboration. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…Abstract This research presents a novel data-driven framework for predicting the mechanical properties of waste glass aggregate concrete using six advanced metaheuristic optimization algorithms: Bat Algorithm (Bat), Cuckoo Search Algorithm (Cuckoo), Elephant Herding Optimization (Elephant), Firefly Algorithm (Firefly), Rhinoceros Optimization Algorithm (Rhino), and Gray Wolf Optimizer (Wolf). …”
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A Personalized Energy Expenditure Estimation Method Using Modified MET and Heart Rate-Based DQN by Min-Seo Kim, Ju-Hyeon Seong

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UCSwin‐UNet model for medical image segmentation based on cardiac haemangioma by Jian‐Ting Shi, Gui‐Xu Qu, Zhi‐Jun Li

“…The Binary Cross Entropy Loss (BCE Loss) algorithm was added, and the learning rate decay algorithm was modified to select the appropriate one by comparing loss values. …”
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Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China by Zhixin Xu, Xin Zheng, Xiangfeng Li

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Artificial intelligence in the food industry: innovations and applications by Hang Yang, Wenxuan Jiao, Lingyun Zouyi, Hongli Diao, Shibin Xia

“…Abstract The integration of artificial intelligence (AI) in the food industry has driven significant advancements in efficiency, safety, and sustainability. …”
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Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence by David B. Olawade, Kusal Weerasinghe, Mathugamage Don Dasun Eranga Mathugamage, Aderonke Odetayo, Nicholas Aderinto, Jennifer Teke, Stergios Boussios

“…Despite these advancements, challenges remain, particularly concerning data privacy, security, and algorithmic bias. Ensuring robust data governance and ethical practices is crucial for the continued success of AI integration in ophthalmology. …”
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Investigation of the dielectric characteristics of materials manufactured using additive technologies by S. V. Kharalgin, M. I. Voytovich

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Using an Explainable Machine Learning Approach to Produce High‐Resolution Hourly Precipitation Estimates for a Typical Data‐Deficiency Basin by Yi Lyu, Bin Yong

“…The integration of both causal and resultant variables (i.e., atmospheric and surface conditions), as demonstrated by the explainable AI model, effectively compensated for the limitations of infrared satellite precipitation products in retrieving extreme precipitation. …”
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Advancing Agricultural Machinery Maintenance: Deep Learning-Enabled Motor Fault Diagnosis by Xusong Bai, Qian Chen, Xiangjin Song, Weihang Hong

“…Recent advancements in artificial intelligence (AI), particularly deep learning (DL)-based techniques, have demonstrated significant potential in machinery condition monitoring and fault diagnosis. …”
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The Philosophy of Semar as an Ethical Framework for the Use of Artificial Intelligence by Mohamad Khusnial Muhtar, Naufal Robbiqis Dwi

“…The Waspada principle highlights the&nbsp;</span><span style="font-size: 1rem;">importance of risk mitigation, addressing challenges such as algorithmic bias, privacy concerns, and&nbsp;</span><span style="font-size: 1rem;">unequal access to technology. 2) The integration of these ethical values presents an opportunity for&nbsp;</span><span style="font-size: 1rem;">strategic collaboration among developers, users, and policymakers to craft regulations that harmonize&nbsp;</span><span style="font-size: 1rem;">global standards with local wisdom, reinforcing the importance of culture-based ethics education. 3) Key&nbsp;</span><span style="font-size: 1rem;">challenges in implementation include limited cultural awareness in AI ethics discourse, resource&nbsp;</span><span style="font-size: 1rem;">constraints, and difficulties in aligning local ethical values with global regulatory frameworks. …”
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Artificial intelligence in food system: Innovative approach to minimizing food spoilage and food waste by Helen Onyeaka, Adenike Akinsemolu, Taghi Miri, Nnabueze Darlington Nnaji, Keru Duan, Gu Pang, Phemelo Tamasiga, Samran Khalid, Zainab T. Al-Sharify, Chinenye Ugwa

“…This paper examines the deployment of AI technologies such as machine learning models, predictive analytics, and advanced algorithm in predicting food spoilage with high accuracy, thereby reducing food waste substantially. …”
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