A novel AI-based CNN model to predict the structural performance of monopile used for offshore wind energy systems by Sajid Ali, Muhammad Waleed, Daeyong Lee

“…The AI-CNN model forecasted a 50-year extreme wind speed (EWS) of 21.61 m/s, 5.3 % higher than the Gumbel algorithm, guaranteeing conventional load calculations. …”
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Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems by Dinesh Kumar Nishad, Vandna Rani Verma, Pushkar Rajput, Sandeep Gupta, Anurag Dwivedi, Dharti Raj Shah

“…This paper introduces a novel Adaptive AI-enhanced offloading (AAEO) framework that uniquely integrates three complementary AI approaches: deep reinforcement learning for real-time decision-making, evolutionary algorithms for global optimization, and federated learning for distributed knowledge sharing. …”
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The Author's Reply by Mohamad Reza Golzar Feshalami, Mehraban Shahi, Nasrin Davari Dolatabadi

“…By integrating advanced imaging modalities and machine learning algorithms, researchers can indeed enhance diagnostic accuracy and efficiency, thereby improving patient outcomes.Additionally, we agree with the commenter’s recommendation regarding the necessity for healthcare professionals to receive adequate training in AI technology. …”
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Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance. by Jaroslaw Kornowicz, Kirsten Thommes

“…Similarly, human-computer interaction research extensively explores the factors that influence the acceptance of AI as a decision support system. In this experimental study, we investigate users' preferences regarding the integration of experts in the development of such systems and how this affects their reliance on these systems. …”
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Performance of ChatGPT-3.5 and ChatGPT-4 in the field of specialist medical knowledge on National Specialization Exam in neurosurgery by Maciej Laskowski, Marcin Ciekalski, Marcin Laskowski, Bartłomiej Błaszczyk, Marcin Setlak, Piotr Paździora, Adam Rudnik

“…Studies integrating AI into neurosurgical practice suggest an ongoing shift towards a greater dependence on AI-assisted tools for diagnostics, image analysis, and decision-making. …”
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Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches by Zijuan Ding, Ke Liu, Sabine Grunwald Ph.D., Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison

“…Although DL often outperforms classical ML, there is no single best AI algorithm. By incorporating simulated outputs from biogeochemical model as additional training data for AI, causal relationships in SOC turnover can be incorporated into empirical modelling, while maintaining predictive accuracy. …”
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Developing an Integrative Data Intelligence Model for Construction Cost Estimation by Zainab Hasan Ali, Abbas M. Burhan, Murizah Kassim, Zainab Al-Khafaji

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Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

“…Additionally, this paper presents a tool for storing, visualizing, monitoring, and integrating anomaly detection algorithms and makes it available to the community. …”
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Artificial Intelligence With Neural Network Algorithms in Pediatric Astrocytoma Diagnosis: A Systematic Review by Floresya K. Farmawati, Della W.A. Nurwakhid, Tifani A. Pradhea, Rayyan Fitriasa, Hutami H. Arrahmi, Muhana F. Ilyas, Fadhilah T. Nur

“…Recent advancements in artificial intelligence (AI), particularly neural network algorithms, have been studied for their precision and efficiency in medical diagnostics via effectively analyzing imaging data to identify patterns and anomalies.Objective: To systematically review AI-based diagnostic tools with neural network algorithms’ methodologies, sensitivities, specificities, and potential clinical integration for pediatric astrocytoma, providing a consolidated perspective on their overall performance and impact on clinical decision-making.Methods: As per PRISMA 2020 guidelines, we conducted a comprehensive search in PubMed, Scopus, and ScienceDirect on February 5, 2024. …”
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Deep Learning Approach for Arm Fracture Detection Based on an Improved YOLOv8 Algorithm by Gerardo Meza, Deepak Ganta, Sergio Gonzalez Torres

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A Radiologist's Perspective of Medical Annotations for AI Programs: The Entire Journey from Its Planning to Execution, Challenges Faced by Anuradha Rao

“…The quality check of both the internally and externally annotated data, creating a team of good annotators, training them, and periodically reviewing the quality of data become an integral part of their work. Documentation related to the annotation work is another important area where the clinician plays an integral role to comply with the Food and Drug Administration requirements, focused on a clinically explainable and validated AI algorithms. …”
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The Impact of Artificial Intelligence on Financial Management by Mihai ANDRONIE, Irina DIJMARESCU

“…The discussion ends with anticipatory pronouncements about an integrative future of human and AI cooperation that enables ethical, scalable, and data-driven financial systems.…”
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Transforming nano grids to smart grid 3.0: AI, digital twins, blockchain, and the metaverse revolutionizing the energy ecosystem by Herman Zahid, Adil Zulfiqar, Muhammad Adnan, Muhammad Sajid Iqbal, Anwar Shah, Usman Abbasi, Salah Eldeen Gasim Mohamed

“…This review also explores the role of AI in power grid which is to optimize energy scheduling, fault detection, and energy management. …”
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Security and Privacy in the Internet of Everything (IoE): A Review on Blockchain, Edge Computing, AI, and Quantum-Resilient Solutions by Haluk Eren, Özgür Karaduman, Muharrem Tuncay Gençoğlu

“…Furthermore, a future vision is presented regarding federated learning-based privacy-preserving AI solutions, post-quantum digital signatures, and lightweight consensus algorithms. …”
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THE FACTS AND MIRAGE OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF NIGERIA by DR ENYINNAYA N. OBOH

“…Despite these benefits, the mirage of AI technology manifests in surmountable set-backs, such as lack of technological infrastructure, inadequate regulatory framework, societal and cultural acceptance, fear of job displacement, vulnerability to cyber-attacks and AI algorithms biases among others. …”
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Experimentally validated inverse design of FeNiCrCoCu MPEAs and unlocking key insights with explainable AI by Fangxi Wang, Allana G. Iwanicki, Abhishek T. Sose, Lucas A. Pressley, Tyrel M. McQueen, Sanket A. Deshmukh

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Integrating artificial intelligence in nanomembrane systems for advanced water desalination by Anbarasu Krishnan, Thanigaivel Sundaram, Beemkumar Nagappan, Yuvarajan Devarajan, Bhumika

“…AI algorithms embedded in these nanomembrane systems enable real-time monitoring, adaptive responses to changing conditions, and proactive maintenance strategies. …”
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Artificial intelligence in nursing: an integrative review of clinical and operational impacts by Salwa Hassanein, Salwa Hassanein, Rabie Adel El Arab, Rabie Adel El Arab, Amany Abdrbo, Mohammad S. Abu-Mahfouz, Mastoura Khames Farag Gaballah, Mohamed Mahmoud Seweid, Mohamed Mahmoud Seweid, Mohammed Almari, Husam Alzghoul

“…BackgroundAdvances in digital technologies and artificial intelligence (AI) are reshaping healthcare delivery, with AI increasingly integrated into nursing practice. …”
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From motion to meaning: understanding students’ seating preferences in libraries through PIR-enabled machine learning and explainable AI by Gizem Izmir Tunahan, Goksu Tuysuzoglu, Hector Altamirano

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DAMPAK PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM PERILAKU PENGAMBILAN KEPUTUSAN TERHADAP ETIKA BISNIS DAN KEBERLANJUTAN ORGANISASI by Putu Ayu Diah Widari Putri, Nyoman Yudha Astriayu Widyari, Ida Ayu Komang Tiara Pratistha Sari

“…Dalam era bisnis yang semakin kompleks dan kompetitif, Artificial Intelligence (AI) menjadi alat strategis yang mampu meningkatkan kecepatan, akurasi, dan objektivitas dalam pengambilan keputusan berbasis data. …”
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