AI-enhanced fire detection and suppression system for autonomous ships by Hyuk Lee, Jung Hoon Chung, Hyun Chung, Jong-Hwan Kim, Yongho Yoo, Gil Hyuk Lim, Won-Sun Ruy

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The Impact Prediction of Income Tax Standards on Company Performance: A Hybrid Spatial Artificial Intelligence Approach by Sawsan Kareem Abdullah

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Enhancing mechanical and bioinspired materials through generative AI approaches by Silvia Badini, Stefano Regondi, Raffaele Pugliese

“…As generative AI continues to evolve, its integration promises to revolutionize engineering design and drive the field towards unprecedented levels of efficiency, thus turns information into knowledge.…”
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AI-Powered Innovations in Food Safety from Farm to Fork by Binfeng Yin, Gang Tan, Rashid Muhammad, Jun Liu, Junjie Bi

“…This article systematically reviews the core applications of AI in the orbit of food safety. First, in the production and quality control of primary food sources, the integration of spectral data with AI efficiently identifies pest and disease, food spoilage, and pesticide and veterinary drug residues. …”
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Ground-truth is law: The invisible conceptual work behind AI by Camille Girard-Chanudet

“…These datasets, shaped by a range of actors across the AI production chain, subtly guide algorithmic operations under the guise of neutrality. …”
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AI-assisted ophthalmic imaging for early detection of neurodegenerative diseases by Hajar Nasir Tukur, Olivier Uwishema, Hatice Akbay, Dalal Sheikhah, Inês Filipa Silva Correia

“…However, challenges such as model interpretability, dataset biases, and ethical considerations must be addressed to ensure the responsible integration of AI into clinical practice. Future research should focus on refining AI algorithms, integrating multimodal imaging techniques, and developing predictive biomarkers to optimize early intervention strategies for neurodegenerative diseases. …”
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From Code to Life: The AI‐Driven Revolution in Genome Editing by Zhidong Li, Wasi Ullah Khan, Genxiang Bai, Chao Dong, Jungang Wang, Youpeng Zhang, Chong Wang, Hongbin Zhang, Wenyi Wang, Ming Luo, Fei Chen

“…Additionally, AI‐powered tools facilitate large‐scale data integration, accelerating functional genomics and therapeutic genome editing. …”
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Leveraging AI for Enhanced Operational Risk Management in Sports Events by Jibraili Malak, Rharib Abderrahim, Jibraili Zineb

“…This article explores the integration of artificial intelligence (AI) into operational risk management at sporting events. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…Integrating AI tools into clinical workflows is critical to maximizing their utility and effectiveness. …”
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AI-Driven Robotics: Innovations in Design, Perception, and Decision-Making by Lei Li, Li Li, Mantian Li, Ke Liang

“…Artificial intelligence (AI), driven by large datasets and advanced algorithms, plays a pivotal role in addressing these challenges and advancing robotics. …”
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The dual-edged potential of AI autonomously defining loss functions by Abbas Ghori

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AI in biomedical research: unleashing the potential of a transformative partnership by Zeba Haque, Farina Hanif, Muhammad Owais

“…The integration of AI into Biomedical Sciences is yet not free from its set of challenges. …”
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Opportunities and challenges of AI-systems in political decision-making contexts by Max Tretter

“…However, using such technologies for certainty purposes in political decision-making contexts also presents several challenges—and if these challenges are not addressed, the integration of AI in political decision-making could lead to adverse consequences. …”
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Privacy, ethics, transparency, and accountability in AI systems for wearable devices by Petar Radanliev, Petar Radanliev

“…The integration of artificial intelligence (AI) and machine learning (ML) into wearable sensor technologies has substantially advanced health data science, enabling continuous monitoring, personalised interventions, and predictive analytics. …”
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AI-driven model for optimized pulse programming of memristive devices by Benjamin Spetzler, Markus Fritscher, Seongae Park, Nayoun Kim, Christian Wenger, Martin Ziegler

“…However, programming memristive AI hardware to achieve a desired synaptic weight configuration remains challenging because it requires accurate and energy-efficient algorithms for selecting the optimal weight-update pulses. …”
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The Evolving Role of Copyright Law in the Age of AI-Generated Works by J. Hutson

“…It is argued that taking into account the creative potential of generative artificial intelligence will facilitate the evolution of copyright law towards hybrid approaches, with artificial intelligence as an integral, albeit secondary, tool. It seems promising to create flexible intellectual property standards that give artists the opportunity to restrict or authorize the use of their works as training data for artificial intelligence, as well as ensure that authors retain control over their works included in datasets for training artificial intelligence, in case copyright metadata is integrated into digital works, etc.Scientific novelty: based on the analysis of the latest judicial precedents, modern international regulations and evolving institutional practices, the author proposes a balanced adaptive approach to copyright reform to ensure the ethical integration of generative artificial intelligence into the creative ecosystem and to develop flexible copyright protection measures that correspond to the rapid technological progress.Practical significance: the proposed combined approach will allow generative AI tools to become part of the human creative process in the same way that previous generations used digital tools. …”
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AI Applications for Chronic Condition Self-Management: Scoping Review by Misun Hwang, Yaguang Zheng, Youmin Cho, Yun Jiang

“…However, most AI technologies remained in the algorithm development (25/66, 38%) or early feasibility testing stages (25/66, 38%). …”
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BRIDGING THE GAP: OPPORTUNITIES, CHALLENGES AND STRATEGIES FOR AI DEPLOYMENT IN PUBLIC SERVICE DELIVERY by Richard Douglas Kamara

“…At the same time, it emphasises significant challenges, such as algorithmic bias, data privacy risks, public trust deficits, and resource disparities that may impede the equitable adoption of AI. …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…The study also examined specific AI considerations, such as algorithmic bias, model explainability, and the application of advanced cryptographic techniques. …”
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Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study by Juan DAlotto DAlotto, Claudia Pons, Leandro Antonelli

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