Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems by Rakesh Salakapuri, Naveen Kumar Navuri, Thrimurthulu Vobbilineni, G. Ravi, Karthik Karmakonda, K. Asish vardhan

“…This system has (1) distraction detection and (2) output (or scenario) recognition, which combine other systems and codes to evaluate driving scenarios. A decision-making module evaluates the combined data to assess danger levels and prompt either timely warnings or corrective actions. …”
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The Role of Ultrasonography in Diagnosing and Managing Sialolithiasis: A Case Report and Literature Review by Yen-Chun Chen, Hann-Ziong Yueh, Shih-Chun Lu, Che-Hsuan Lin

“…This initial ultrasound evaluation streamlines the decision-making process by facilitating the timely scheduling of confirmatory computed tomography scans and guiding subsequent surgical interventions. …”
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Associations Between the Atherogenic Index of Plasma and Triglyceride-Glucose Index With Coronary Microvascular Dysfunction in Hypertensive Patients by Cui X, Li M, Jing A, Zhang Y, Zheng L, Li T, Hao T, Lang J, Guo Z, Cong H, Zhang Y

“…Their combined use can improve clinical decision-making and patient outcomes.Keywords: triglyceride-glucose index, atherogenic index of plasma, coronary microvascular dysfunction, hypertension…”
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Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Seyedeh Zeinab Shogrkhodaei, Biswajeet Pradhan, Soo-Mi Choi

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Validating Flow-Based Arrival Management for En Route Airspace: Human-In-The-Loop Simulation Experiment with ESCAPE Light Simulator by Katsuhiro Sekine, Daiki Iwata, Philippe Bouchaudon, Tomoaki Tatsukawa, Kozo Fujii, Koji Tominaga, Eri Itoh

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A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images by Sudhakar Sengan, Praveen Gugulothu, Roobaea Alroobaea, Julian L. Webber, Abolfazl Mehbodniya, Amr Yousef

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Transforming Brain Tumor Detection Empowering Multi-Class Classification With Vision Transformers and EfficientNetV2 by Anees Tariq, Muhammad Munwar Iqbal, Muhammad Javed Iqbal, and Iftikhar Ahmad

“…This research contributes to the advancement of AI-driven medical diagnostics and has the potential to improve clinical decision-making in brain tumor assessment.…”
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Total Lesion Glycolysis (TLG) on 18F-FDG PET/CT as a Potential Predictor of Pathological Complete Response in Locally Advanced Rectal Cancer After Total Neoadjuvant Therapy: A Retr... by Handan Tokmak, Nurhan Demir, Hazal Cansu Çulpan

“…Its inclusion in clinical decision-making could improve patient selection for organ preservation strategies, thereby reducing the need for unnecessary surgeries in the future. …”
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Foundational AI in Insurance and Real Estate: A Survey of Applications, Challenges, and Future Directions by Karthigeyan Kuppan, Deepak Bhaskar Acharya, Divya B

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Examining Digital Government Maturity Models: Evaluating the Inclusion of Citizens by Åsa Waara

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An Interface Evaluation Model for Usability and Perceived Security by Mehmet Gokturk

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The Current Role of Carotid Duplex Ultrasonography in the Management of Carotid Atherosclerosis: Foundations and Advances by Kelly R. Byrnes, Charles B. Ross

“…However, correlative axial imaging modalities (computer tomographic angiography (CTA) and contrast-enhanced magnetic resonance angiography (CE-MRA)) increasingly aid in the assessment of individual stroke risk and are important in treatment decisions. …”
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Medical image enhancement through Klein–Gordon model with advanced differential operators by A. Priya, S. Kalaivani

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Simulation-based analysis of lean practices implementation on the supply chain of a public hospital by Gabriela Aline Borges, Guilherme Luz Tortorella, Felipe Martínez, Matthias Thurer

“…Research method The implementation of a set of LP practices in the hospital`s supply chain was assessed by computational simulation modelling, focusing on one of the most financially important product families. …”
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Artificial Intelligence for Predicting Delivery Modes: A Systematic Review of Applications, Challenges, and Future Directions by Yu Zhou, Jing Li, Xiaomei Hou, Zhen Li, Yanan Xu, Yan Wang, Mingze Sun, Fumin Zheng, Enhui Guo, Jun Zhou

“…Background: The application of artificial intelligence (AI) in medicine has advanced significantly, particularly in obstetrics, where it plays an increasingly prominent role in predicting modes of delivery and assessment of maternal risks. AI-assisted prediction of delivery modes, a cutting-edge field at the intersection of medicine and computer science, aims to support clinicians in making more accurate and safer delivery decisions by utilizing advanced AI technologies and big data analytics. …”
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Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening by Sofiya Vyshnya, Rachel Epperson, Felipe Giuste, Wenqi Shi, Andrew Hornback, May D. Wang

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Fairness in artificial intelligence‐driven multi‐organ image segmentation by Qing Li, Yizhe Zhang, Longyu Sun, Mengting Sun, Meng Liu, Zian Wang, Qi Wang, Shuo Wang, Chengyan Wang

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Scalable Discrete Event Simulation Tool for Large-Scale Cyber-Physical Energy Systems: Advancing System Efficiency and Scalability by Khandaker Akramul Haque, Shining Sun, Xiang Huo, Ana E. Goulart, Katherine R. Davis

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Automated Aneurysm Boundary Detection and Volume Estimation Using Deep Learning by Alireza Bagheri Rajeoni, Breanna Pederson, Susan M. Lessner, Homayoun Valafar

“…<b>Conclusions:</b> This technique has the potential to facilitate large-scale aneurysm analysis and improve clinical decision-making by reducing dependence on annotated datasets.…”
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Intelligent Virtual Assistant for Calculating Technology Readiness Levels Using Large Language Models (LLM) by Juan Betancourt, Andres Coral, Anabel Fraga, Cristhian Figueroa, Gustavo Ramirez-Gonzalez

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