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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Artificial intelligence-driven classification method of grapevine major phenological stages using conventional RGB imaging by Ruben Íñiguez, Fikile Wolela, María Ignacia Gonzalez Pavez, Ignacio Barrio, Javier Tardáguila, Talitha Venter, Carlos Poblete-Echeverria

“…Despite these challenges, the study confirms that AI models can effectively automate vineyard phenology classification, reducing manual assessment efforts, and contributing to more efficient viticultural decision-making. …”
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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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Geospatial analysis of landslide susceptibility and safe relocation zones: Insights from recent disasters in Gofa Zone, Southern Ethiopia by Natnael Agegnehu Ayele, Esubalew Mulugeta Engda, Taye Teshome Terefe, Eyasu Leta, Talema Moged Reda, Muralitharan Jothimani

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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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Geo-Intelligence for Resilient Land-use Planning by John Kiema

“… Geo-Intelligence integrates geospatial technologies such as satellite imagery, remote sensing, Geographic Information Systems (GIS), and Artificial Intelligence (AI) to gather, process, and analyze spatial data for decision-making. This study explores the application of Geo-Intelligence in resilient land use planning in Kenya’s Lower Eastern Region, aiming to optimize land potential amidst climate change challenges. …”
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Prognostic Implications of Initial Radiological Findings of Pulmonary Fibrosis in Patients with Acute SARS-CoV-2 Infection: A Prospective Multicentric Study by Roxana-Elena Cîrjaliu, Sri Vidhya Gurrala, Balaji Nallapati, Vamsi Krishna, Cristian Oancea, Emanuela Tudorache, Monica Marc, Felix Bratosin, Iulia Bogdan, Ovidiu Rosca, Paula Irina Barata, Laurentiu Tony Hangan, Sergiu Ioachim Chirilă, Ariadna-Petronela Fildan

“…These compound scores facilitate the early identification of high-risk patients, guiding clinical decision-making and optimizing patient management to improve outcomes.…”
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Variation in Mesopic Retinal Sensitivity Relative to Distance from Geographic Atrophy in Age-Related Macular Degeneration by Souvick Mukherjee, PhD, Emily Vance, MPH, Leon von der Emde, MD, Thilaka Arunachalam, BS, Tharindu De Silva, PhD, Alisa T. Thavikulwat, MD, Christine Orndahl, PhD, Caroline Nyaiburi, MS, Maria Abraham, ScM, Keri Hammel, MS, SriniVas R. Sadda, MD, Emily Y. Chew, MD, Maximilian Pfau, MD, PhD, Wai T. Wong, MD, PhD, Brett G. Jeffrey, PhD, Tiarnán D.L. Keenan, BM BCh, PhD

“…Overall, the degree and extent of decreased visual function beyond GA borders have important implications for the design of clinical trials, decision-making in clinical practice, and insights into AMD pathophysiology. …”
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Probabilistic optimal power flow in wind energy integrated power system based on the K‐medoids data clustering method considering correlated uncertain variables by Saeed Badoozadeh, Nazila Nikdel, Sadjad Galvani, Mohammad Farhadi‐Kangarlu

“…Probabilistic assessment of power systems is essential to evaluate uncertainties’ effects and make reasonable decisions. …”
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Abstract 015: Pioneering NaF‐PET/CT Imaging for Early Detection of Atherosclerosis: Potential Implications for Neurointerventional Surgery by Eric M Teichner, Robert C Subtirelu, Arjun B Ashok, Yvonne Su, Victoria A Anderson, Milo Writer, Omar Al‐Daoud, Miraziz Ismoilov, Chitra Parikh, William Y Raynor, Sahithi Talasila, Poul F Høilund‐Carlsen, Abass Alavi, Mona‐Elisabeth Revheim

“…Early recognition of these alterations facilitates clinical decision‐making, including determining the necessity and timing of surgical intervention. …”
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Femoral strength after cephalomedullary nail removal can be predicted preoperatively using CT based FE models by Alexander Synek, Gilbert M. Schwarz, Andreas G. Reisinger, Stephanie Huber, Sylvia Nürnberger, Lena Hirtler, Jochen G. Hofstaetter, Dieter H. Pahr

“…This could help patients and clinicians to make an informed decision on implant removal and permissible post-operative weight-bearing.…”
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The holistic enterprise management approach: including labor migration into modeling the dynamics of the influence factors on functioning by Yaroslav Kotlyarevskyy, Vsevolod Senkivskyy, Iryna Pikh, Taras Shyra, Alona Kudriashova, Ihor Berest, Andriy Shtangret

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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

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YED-Net: Yoga Exercise Dynamics Monitoring with YOLOv11-ECA-Enhanced Detection and DeepSORT Tracking by Youyu Zhou, Shu Dong, Hao Sheng, Wei Ke

“…Future work aims to integrate 3D pose estimation to develop a closed-loop biomechanical analysis system, thereby advancing sports science toward intelligent decision-making paradigms.…”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

“…These findings provide valuable insights for policymakers, supporting data-driven decision-making processes for urban development and resource allocation. …”
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Sweet pepper foliar diseases quantification and identification using an image analysis tool by Vijayanandh Rajamanickam, Adesh Ramsubhag, Jayaraj Jayaraman

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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…The incorporation of explainability techniques, including Shapley Additive Explanations (SHAP), enhances model transparency, which is beneficial for clinical decision-making. These findings suggest that the proposed attention-enhanced CNN framework serves as a reliable and interpretable tool for the early detection of epilepsy and patient monitoring.…”
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Artificial intelligence in imaging for liver disease diagnosis by Chenglong Yin, Chenglong Yin, Huafeng Zhang, Jin Du, Jin Du, Yingling Zhu, Yingling Zhu, Hua Zhu, Hua Zhu, Hongqin Yue, Hongqin Yue

“…The growing integration of AI into liver imaging is reshaping diagnostic workflows and has the potential to improve accuracy, efficiency, and clinical decision-making. This review provides an overview of AI applications in liver imaging, focusing on their clinical utility and implications for the future of liver disease diagnosis.…”
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Advancing public health through Spatial Data Infrastructures: a review of global practices, governance and policy recommendations by Victor Mayowa Adeleye, Patrick Ashinze, Teslim Okeoyo, Veronica El Nabbout, Emmanuel Chileshe Phiri, Gargi Gautam, Collins Chukwunonso Ezea, Alhazan Amir Adebayo, Halima Ali, Ekemode Oluwadamilola Monsurat

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Numerical Evaluation of Abdominal Aortic Aneurysms Utilizing Finite Element Method by Konstantinos Kyparissis, Nikolaos Kladovasilakis, Maria-Styliani Daraki, Anastasios Raptis, Polyzois Tsantrizos, Konstantinos Moulakakis, John Kakisis, Christos Manopoulos, Georgios E. Stavroulakis

“…<b>Background:</b> In recent years, more and more numerical tools have been utilized in medicine in or-der to assist the evaluation and decision-making processes for complex clinical cases. …”
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