Directional microwave ablation in spine: experimental assessment of computational modeling by Austin Pfannenstiel, Haileigh Avellar, Clay Hallman, Brandon L. Plattner, Margaret A. Highland, Francois H. Cornelis, Warren L. Beard, Punit Prakash

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Risk assessment in sociotechnical systems based on functional resonance analysis method and hierarchical fuzzy inference tree by Ashish Kumar, Sudhir Kumar Singh, Biswajit Samanta, Ashis Bhattcherjee

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Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness by Yanyang Gao, Chi Zhang, Maojie Ye, Bo Wang

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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

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Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

“…The construction industry significantly contributes to environmental degradation,with many structures exhibiting high carbon footprints throughout their construction processes and lifespans.Activities such as cement hydration and other commoncon-struction practices substantially influence environmental conditions overtime,necessitating a critical evaluation of material and design choices.This study reported the environmental impact of fly ash(FA),which is largely used to enhance concrete strength.A prediction of two end point indicators,that is,global warming potential(GWP)and CO2 emission using soft computing methods are presented,which are particularly effective for handling complex,non linear relationships in environmental data.To achieve this, two machine learning approaches,the random forest(RF)and decision tree(DT)models,are employed to assess the environ- mental impact of structural materials and designs.Two data sets were obtained from reputable databases,including ResearchGate, Science Direct, Semantic Scholar,and Mendeley Data.The models are trained to explore the potential for optimizing structural designs and material selection stominimize environmental impacts.Feature importance is analyzed using Shapley values,providing insights into the most influential factors affecting GWP and CO2 emission Model performance is evaluated using R2 and root mean square error(RMSE) metrics. …”
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The Assessment of Spinal Alignment Based on a Computer-Assisted Electromechanical Device by Israa Khalifa, Aseel Ghazwan, Luay Asaad Mahmood

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Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning by Hang Wei, Pei-Li Qiao

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Research on Pork Cut and Freshness Determination Method Based on Computer Vision by Shihao Song, Qiqi Guo, Xiaosa Duan, Xiaojing Shi, Zhenyu Liu

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Assessment and Validation of a Computer Vision Algorithm for Wildfire Rate of Spread Estimation by Ehsan Ameri, Kyle Awayan, Jeanette Cobian-Iñiguez

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Navigating the Complex ESG Accounting Landscape: Engineering a Method Selection Framework by Vijanti Ramautar, Sergio España, Siamak Farshidi

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A systematic review of computational simulation methods for predicting the toxicity of chemical compounds by Akram Tabrizi, Fatemeh Paridokht, Yaser Khorshidi Behzadi, Rezvan Zendehdel

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Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

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Innovative CDR grafting and computational methods for PD-1 specific nanobody design by Jagadeeswara Reddy Devasani, Girijasankar Guntuku, Nalini Panatula, Murali Krishna Kumar Muthyala, Mary Sulakshana Palla, Teruna J. Siahaan

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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

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Assessment of Erosion Wear on a Reducing Pipe in a Propulsion System Using the Eulerian-Lagrangian Method by A. Chen, Y. Yu, S. Xiao

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Advances in the detection methods for assessing the viability of cryopreserved samples by Hao Yan, Liu Zhicheng, Sun Heming, Zhai Wang, Sun Wenyu, Mu Long

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Research on safety risk assessment model of construction engineering based on attention mechanism and graph neural network by Lanfei He, Ran Chen, Jia Hu, Zhenxi Huang, Li Zhou, Hong Zhang

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Digital assessments for children and adolescents with ADHD: a scoping review by Franceli L. Cibrian, Elissa M. Monteiro, Elissa M. Monteiro, Kimberley D. Lakes

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Improving Internal Combustion Engine Performance through Inlet Valve Geometry and Spray Angle Optimization: Computational Fluid Dynamics Study by Muhammad Ahsan, Mian Noman

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Investigating pedagogical opportunities of educational technologies in developing countries: Physics Education Technology workshops for Bangladeshi science, technology, engineering... by Mohosina Jabin Toma, Gerald Tembrevilla, Marina Milner‐Bolotin

“…Abstract Recently, an unprecedented number of people worldwide gained access to science, technology, engineering, and mathematics (STEM) education technologies. …”
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