Edge AI-Based Smart Intersection and Its Application for Traffic Signal Coordination: A Case Study in Pyeongtaek City, South Korea by Seongjin Lee, Seungeon Baek, Wang-Hee Woo, Chiwon Ahn, Jinwon Yoon

“…First, there are inevitable delays in transmitting and processing the video data. Second, there is still a need to develop a real-time signal control method leveraging the acquired data from smart intersections. …”
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EDHD-FG-XGBoost: Entropy-driven high-dimensional feature gain XGBoost model for short-term wind power prediction and application by Xing Liu, Xingyu Mou, Ying Zhang, Hui Chen, Xin Wang, Xihao Sun, Chengcheng Wang, Ruixiang Shong, Yunfeng Li

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Opportunities for Laboratory Testing to Inform Antimicrobial Use for Bovine Respiratory Disease: Application of Information Quality Value Stream Maps in Commercial Feedlots by Simon J. G. Otto, Colleen M. Pollock, Jo-Anne Relf-Eckstein, Lianne McLeod, Cheryl L. Waldner

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E-Bayesian Estimation Using Spacing Function for Inverse Lindley Adaptive Type-I Progressively Censored Samples: Comparative Study with Applications by Mazen Nassar, Refah Alotaibi, Ahmed Elshahhat

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Long-term comparative analysis of machine learning models: A deep dive into applications of artificial intelligence for enhancing photovoltaic performance prediction by Ali Akbar Yaghoubi, Mahdi Gandomzadeh, Aslan Gholami, Roghayeh Gavagsaz-Ghoachani, Majid Zandi

“…The predictive models developed herein can support enhanced PV system design, the prediction of soiling effects using environmental data, optimized dust removal methods and cleaning schedules, and data-driven energy policy planning.…”
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ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System by Markus Schwarz, Ludwig Christian Hinske, Ulrich Mansmann, Fady Albashiti

“…In the perturbation experiment, the model showed an AUC of 0.799 (95% CI, 0.756-0.843) with modified input data in contrast to an AUC of 0.788 (95% CI, 0.743-0.833) with original input data, when trained on the AUMC dataset and validated externally. …”
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Algorithmic emergence? Epistemic in/justice in AI-directed transformations of healthcare by Imo Emah, SJ Bennett

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Applications of T-spherical fuzzy aczel-alsina power muirhead mean operators in identifying the most effective water purification process for commercial purpose by Rashid Ali, Qaisar Khan, Hidayat ULLAH. Khan

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Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review protocol by Suzana Shahar, Nurul Asilah Ahmad, Arimi Fitri Mat Ludin, Shahrul Azman Mohd Noah, Noorlaili Mohd Tohit

“…Engagement with relevant stakeholders will be carried out to gain more insights into our data from different perspectives.Ethics and dissemination Since the data used are from publicly available sources, this study does not require ethical approval. …”
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Application of iso-frequency extractions and spectral frequency blending in hydrocarbon delineation of thin-pay and thick-pay reservoirs, Niger Delta Basin by David O. Anomneze, Vivian O. Oguadinma, Irewole J. Ayodele, Norbert E. Ajaegwu

“…Delineation of hydrocarbon-bearing sands and the extent of accumulation using seismic data is a reoccurring challenge for many fields. …”
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Managing IoT and Mass Communication in 6G: Strategies for Low Latency Real-Time Applications through Proximity-Based Request Handling by Fariborz Rasouli

“…Within the IoT domain, particularly under the 6G framework, certain applications necessitate real-time operation and thus warrant prioritization over others in terms of communication and data transmission. …”
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Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials by Ali Ezzati, Christos Davatzikos, David A. Wolk, Charles B. Hall, Christian Habeck, Richard B. Lipton

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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

“…AI-assisted tools can be user-friendly and provide accurate dietary data. Hence, this review aimed to explore the applications of AI-assisted dietary assessment tools in real-world settings that could potentially enhance Next-Gen nutrition care delivery.Materials and methodsA total of 17,613 original, full-text articles using keywords such as “artificial intelligence OR food image analysis OR wearable devices AND dietary OR nutritional assessment,” published in English between January 2014 and September 2024 were extracted from Scopus, Web of Science, and PubMed databases. …”
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A New Time Series of Gas Outburst Prediction Model and Application in Coal Mine and Through-Coal-Seam Tunnel Mining Face by Xv Li, Wanbo Zheng, Gen Lu, Yueming Kang, Yunni Xia, Zhou Zhou

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Serum aluminum in 176 feline patients with application to the diagnostic approach to a tremoring patient with kidney disease receiving aluminum hydroxide therapy by Rachel Sheffler, Stephanie Karpf, Sarah Rebolloso, Vicki Miksicek, John P. Buchweitz, Birgit Puschner

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Application of an Electronic Nose to the Prediction of Odorant Series in Wines Obtained with <i>Saccharomyces</i> or Non-<i>Saccharomyces</i> Yeast Strains by Raquel Muñoz-Castells, Margherita Modesti, Jaime Moreno-García, Alexandro Catini, Rosamaria Capuano, Corrado Di Natale, Andrea Bellincontro, Juan Moreno

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Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin by Yanjiao Dong, Yi Shen, Kai Guo, Qiang Mao, Xiaoqin Wu, Lintao Li, Wenyue Sun

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Characterizing How Meteorological Forcing Selection and Parameter Uncertainty Influence Community Land Model Version 5 Hydrological Applications in the United States by Hisham Eldardiry, Ning Sun, Hongxiang Yan, Patrick Reed, Travis Thurber, Jennie Rice

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Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study by Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

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Application of an Ensemble Stationary-Based Category-Based Scoring Support Vector Regression to Improve Drought Prediction in the Upper Colorado River Basin by Mohammad Hadi Bazrkar, Heechan Han, Tadesse Abitew, Seonggyu Park, Negin Zamani, Jaehak Jeong

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