Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management by Felicia Lim Xin Ying, Suliadi Firdaus Sufahani

“…The transition from manual methods to advanced computational approaches, such as metaheuristic algorithms, enhances decision-making and consolidates operations within SCM. …”
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Research on the Evaluation of Urban Green Transportation Development Level in Guangzhou Under the Promotion of New Energy Vehicles by Yanlong Dong, Fanlong Zeng, Huaping Sun

“…Finally, the extended Combined Compromise Solution (CoCoSo) method is used to calculate the UGTDL, avoiding the compensatory issues in the traditional decision-making methods. The proposed approach is applied to assess the UGTDL in Guangzhou from 2020 to 2023. …”
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A Novel MetaSoft Tree-Cognitive Set Model for Evaluating Criminal Litigation Efficiency under Artificial Intelligence Ecosystems by Yuanyuan Meng, Jing Cai

“…Artificial Intelligence (AI) is transforming judicial systems by offering tools that enhance legal decision-making, yet measuring the efficiency of criminal litigation processes within these evolving digital ecosystems remains a complex task. …”
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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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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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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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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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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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Evaluation of SURUS: a named entity recognition NLP system to extract knowledge from interventional study records by Casper Peeters, Koen Vijverberg, Marianne Pouwer, Bart Westerman, Maikel Boot, Suzan Verberne

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Advancing general ecosystem models (GEMs): Towards a mechanistic understanding of the biosphere in the light of the Anthropocene by Joachim Paul Töpper, Selwyn Hoeks, Florian Hartig, Anders Kolstad, Marlee A. Tucker, Jesamine Bartlett, Kim Magnus Bærum, Joseph Chipperfield, Michael Harfoot, Mark Antonius Jan Huijbregts, Jens‐Christian Svenning

“…As managers and policymakers urgently need good information on nature values and human impacts on them for policy design and decision‐making, they have much to gain from GEMs, which allow understanding current and predicting future outcomes of human actions on biodiversity and ecosystem functioning. …”
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Metaverse and Digital Twins in the Age of AI and Extended Reality by Ming Tang, Mikhail Nikolaenko, Ahmad Alrefai, Aayush Kumar

“…While DTs function as mirrored models of real-world systems—integrating IoT, BIM, and real-time analytics to support decision-making—Metaverses are typically fictional, immersive, multi-user environments shaped by social, cultural, and speculative narratives. …”
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Type-2 Neutrosophic Numbers for Impact Evaluation of Sports on the Psychological and Emotional Regulation of Rural Children by Ming Yuan, Jing Huang, Xinhuan Duan, Xin Hu

“…The study employs a comprehensive evaluation framework based on multi-criteria decision-making (MCDM) methods to assess the effectiveness of different sports programs. …”
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Development of Geographic Information Systems in Mapping Village-Owned Enterprises in Sleman Regency by Imam Ramadhan, Ika Arfiani

“…This application enhances data management and decision-making for BUM Desa development, simplifies government data management, and improves public access to BUM Desa locations. …”
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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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Predictive Modelling of nephrotoxicity from vancomycin and piperacillin-tazobactam (VPT) combination and vancomycin as monotherapy: an artificial intelligence (AI) Approach by Dr Winnie Lee, Mr William J Bolton, Mr Richard C Wilson, Professor Pantelis Georgiou, Professor Alison H Holmes, Dr Nina Zhu, Dr Timothy M Rawson

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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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