AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications by Shohreh Abdollahi, Ramin Safa

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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

Subjects: “…AI…”
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Estimation of the Ultimate Bearing Capacity of the Rocks via Utilization of the AI-Based Frameworks by Bianca Damico, Matteo Conti

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AI-driven self-service for enhanced customer experience outcomes in the banking sector by Nkululeko PraiseGod Zungu, Hayford Amegbe, Charles Hanu, Emmanuel Selase Asamoah

Subjects: “…Artificial intelligence (AI)…”
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Convergence of Blockchain, IoT, and AI for Enhanced Traceability Systems: A Comprehensive Review by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Dahiru Adamu Aliyu, Izzatdin Abdul Aziz, Shamsuddeen Adamu

“…The convergence of Blockchain (BC), Internet of Things (IoT), and Artificial Intelligence (AI) technologies offers promising solutions to enhance traceability systems across various sectors, particularly supply chain management (SCM). …”
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Accelerated and Highly Correlated ASIC Synthesis of AI Hardware Subsystems Using CGP by H. C. Prashanth, Madhav Rao

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The Shifting Influence: Comparing AI Tools and Human Influencers in Consumer Decision-Making by Michael Gerlich

Subjects: “…AI…”
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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

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Empirical insights into traditional and AI-enhanced interactive narratives based on children’s fables by Świerczyńska-Kaczor Urszula

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Title: Bridging the gaps in TBI care: AI, telemedicine, and emerging care strategies by Zahra Ali Haque, Hanzala Ahmed Farooqi, Sarah Shaheen

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ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration by Yuhan Yan, Bowen Chai, Jiapeng Li

“…Conventional methodologies for protection and restoration exhibit limitations and do not adequately address multifaceted damage conditions, thus necessitating the integration of advanced technological interventions to enhance restoration effectiveness.This paper delineates a framework for the preservation and restoration of cultural heritage buildings that uses Internet of Things (IoT) technology and Artificial Intelligence (AI). Using real-time environmental and structural health surveillance, in conjunction with security mechanisms, this framework markedly improves precision and efficiency in forecasting and identifying potential risks.Furthermore, in the context of mural restoration, this paper introduces the ArtDiff model. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

Subjects: “…AI…”
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Medical students’ attitudes toward AI in education: perception, effectiveness, and its credibility by Abdul Sami, Fateema Tanveer, Khadeejah Sajwani, Nafeesa Kiran, Muhammad Ahsan Javed, Dilber Uzun Ozsahin, Khalid Muhammad, Yasir Waheed

“…The survey assessed demographics of participants, basic understanding of AI, AI as a learning tool in medical education and socio-ethical impacts of the use of AI. …”
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AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development by Ryan Wen Liu, Shiqi Zhou, Shangkun Yin, Yaqing Shu, Maohan Liang

Subjects: “…Automatic identification system (AIS)…”
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First, Do No Harm: Addressing AI's Challenges With Out‐of‐Distribution Data in Medicine by Chu Weng, Wesley Lin, Sherry Dong, Qi Liu, Hanrui Zhang

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Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI) by Arnick Abdollahi, Biswajeet Pradhan

“…These methods are promising in this domain, yet unreliable for various reasons, such as the use of irrelevant descriptor features in the building of the models and lack of quality in the labeled image. Explainable AI (XAI) can help us gain insight into these limits and, as a result, adjust the training dataset and model as needed. …”
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MANAGEMENT OF THE QUALITY OF AGRICULTURAL PRODUCTS IN THE AGRARIAN AI ECONOMY IN SUPPORT OF FOOD SECURITY by Tatiana N. Litvinova, Davit N. Hakhverdyan, Elena G. Popkova, Angelina I. Litvinova

Subjects: “…agrarian ai economy…”
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Severe deviation in protein fold prediction by advanced AI: a case study by Jacinto López-Sagaseta, Alejandro Urdiciain

“…Abstract Artificial intelligence (AI) and deep learning are making groundbreaking strides in protein structure prediction. …”
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Organoid intelligence: training lab-grown mini-brains to learn and compute with AI by L. R. Jaidev Chakka, Mohammed Maniruzzaman

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