Democratising complex system modelling by Anabele-Linda Pardi, Elizaveta Burina

“…Abstract In the contemporary context of an acute need for sustainability and swift response to imminent crises such as global warming, pandemics and economic system disruptions, the focus on responsible decision making, ethical risk assessment and mitigation at all organizational levels is an overarching goal. …”
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YOLOv8 vs RetinaNet vs EfficientDet: A Comparative Analysis for Modern Object Detection by Sana Fatima, Najmi Ghani Haider, Rizwan Riaz

“…Object detection plays a vital role in computer vision. It facilitates machines to comprehend and interpret images and videos and make decisions based on visual statistics. …”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…Deep learning (DL), with its superior capabilities in data analysis, pattern recognition, and autonomous decision-making, offers transformative potential across the cotton value chain. …”
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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

“…This literature review investigates the application of AI in LT, focusing on its role in pre-implantation biopsy evaluation, development of recipient prognosis algorithms, imaging analysis, and decision-making support systems, with the findings revealing that AI can be applied across a variety of fields within LT, including diagnosis, organ allocation, and surgery planning. …”
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Application of Perfusion Imaging in the Telehealth Setting for Acute Ischemic Stroke by Michael Valente, Thanh Phan, Mark Parsons, Henry Ma

“…In the remote telehealth setting, computed tomography perfusion (CTP) provides important information in assessing the suitability of reperfusion therapy for patients with stroke syndromes. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

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An Effective and Practical Probabilistic Simplified Neutrosophic Approach for Accurate and Reliable Innovative Design Evaluation for Digital Media Arts by Yang Zhang, Yuzhuo Zhang

“…The quantitative results prove that our approach not only accentuates the applicability but also can improve decision-making through evaluating and refining the quality of elderly care services. …”
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Development and validation of a scoring system to evaluate and clinically manage postoperative acute infarction complications in moyamoya disease by Ziqi Liu, Xiaokuan Hao, Shihao He, Cunxin Tan, Yeru Wang, Kaiyu Shan, Xilong Wang, Zhenyu Zhou, Ming Lv, Ding Ma, Tao Yu, Qinglin Liu, Yunqi Jiao, Yu Wang, Haogeng Sun, Dongxu Yang, Jun Liu, Hao Chen, Jinxi Zhao, Xin Lou, Qiang Guo, Hua Guo, Yongbo Yang, Jun Pu, Bing Li, Yi Liu, Yujie Fan, Dong Zhang, Ning Ma, Li Li, Ran Duan, Rong Wang

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An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation by Shiva Arjmandmazidi, Hamid Reza Heidari, Tohid Ghasemnejad, Zeinab Mori, Leila Molavi, Amir Meraji, Shadi Kaghazchi, Elnaz Mehdizadeh Aghdam, Soheila Montazersaheb

“…Abstract Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine through the use of advanced computational tools. …”
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DETERMINATION OF COMPETITIVE POSITIONS IN MARKETING ACTIVITIES OF RESTAURANT BUSINESS ENTERPRISES BY MEANS OF MATHEMATICAL MODELLING by Nataliia Volosova, Nataliia Stebliuk, Andriy Pylypenko, Vladyslav Riabovolenko, Natalia Nebaba, Maxim Korneyev

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From Business Modelling to the Leadership and Innovation in Business: Bibliometric Analysis (Banking as a Case) by Tetiana Goncharenko

“…The first (largest) cluster consists of studies that examine banks’ business models through decision-making and information management technologies, risk assessment and minimization mechanisms, the relationship between banking sales dynamics and the information databases etc. …”
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Enhancing Predictive Urban Planning in European Smart Cities Through AI-Driven Digital Twin Technology: A Case Study of Greece by Dimitrios Kalfas, Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Fotios Chatzitheodoridis, Evangelia Ziouziou

“…Some of the respondents noted these features as very useful for the prediction of urban conditions and decision-making purposes. Nevertheless, some drawbacks related to the computational load and data flow were also revealed. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…They determine the number of potential variants of the system architecture to which it will switch at the next step when making a decision on restructuring the architecture. …”
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A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs) by Kholidiyah Masykuroh, Hendrawan, Eueung Mulyana, Farhan Krishna

“…Video analytics is essential in smart city management, traffic monitoring, and security surveillance, where real-time decision-making is critical. However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. …”
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Real-Time Telemedical Oversight Improves Prehospital Stroke Metrics: A Five-Year Cohort Study by Ponlawat Kanchayawong, Kasamon Aramvanitch, Chaiyaporn Yuksen, Satariya Trakulsrichai, Pungkava Sricharoen, Sureerat Suwatcharangkoon, Patcharaporn Sirintaranont, Jesada Keandoungchun, Promphet Nuanprom, Chetsadakon Jenpanitpong, Suthap Jaiboon

“… Introduction: By enabling direct consultation with neurologists, Real-Time Telemedical Oversight (ReTMO) can facilitate rapid stroke assessment and decision-making. This study aimed to assess the efficacy of prehospital stroke management before and after ReTMO implementation. …”
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Prediction of Neoadjuvant Chemoradiotherapy Sensitivity in Patients With Esophageal Squamous Cell Carcinoma Using CT-Based Radiomics Combined With Clinical Features by Xindi Li, Jigang Dong, Baosheng Li, Ouyang Aimei, Yahong Sun, Xia Wu, Wenjuan Liu, Ruobing Li, Zhongyuan Li, Yu Yang

“…The goal was to provide risk stratification and decision-making recommendations for clinical treatments and offer more valuable information for developing personalized therapies. …”
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Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery by Hsing-Hao Ho, Huai-Che Yang, Wen-Xiang Yang, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng

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WEFE nexus management plan for sustainable development and gender equity in the Matmata region, SE Tunisia by Houda Besser, Afef Mahjoubi, Xenia Theodotou Schneider, Fethi Abdelli, Enrica Caporali, Bianca Maria Rizzo, Fernando Nardi, Fernando Nardi, Mohamed Ouessar

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Evolution and trend of landslide research in India based on a decade long publication record by Ashutosh Kainthola, Vishnu Himanshu Ratnam Pandey, Gaurav Kushwaha, Kumari Priya, P. K. Singh, T. N. Singh

“…Among the 31 computer-based programs used, ArcGIS, DIPS, and RS2 were the top tools for assessing mass-movement issues. …”
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Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1 by Birger Moëll, Fredrik Sand Aronsson, Fredrik Sand Aronsson, Sanian Akbar

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