COMPUTER SCIENCE, COMPUTER ENGINEERING AND MANAGEMENT METHODICAL APPROACH TO EVALUATING THE PROBABILISTIC TIME PERFORMANCE INDICATOR OF AUTOMATED ADMINISTRATOR OPERATIONS IN INFORM... by A. M. Kadnova

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Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

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A Methodical Review of Iridology-Based Computer-Aided Organ Status Assessment Techniques by Suja Alphonse, Ramachandran Venkatesan, Theena Jemima Jebaseeli

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Method to Assess Computerised Systems Supporting Maintenance Services by Michał Pająk, Bogdan Landowski, Łukasz Muślewski, Dragutin Lisjak

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A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue by Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni

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Information Processing and Assessment for Improved Computational Energy Modelling by Zuhair A Nasar

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Assessment of slurry chamber clogging alleviation during ultra-large-diameter slurry tunnel boring machine tunneling in hard-rock using computational fluid dynamics-discrete elemen... by Yidong Guo, Xinggao Li, Dalong Jin, Hongzhi Liu, Yingran Fang

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

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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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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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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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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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A Method of Online Shopping Risk Assessment Based on RNN-DBN by QU Yuan-yuan, GONG Li-ying, HE Wei

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Editorial: Cardio-respiratory-brain integrative physiology: interactions, mechanisms, and methods for assessment by Tijana Bojić, Luca Faes, Luca Faes, Steffen Schulz, Tomislav Stankovski, Tomislav Stankovski

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A Feature Engineering Framework for Smart Meter Group Failure Rate Prediction by Yihong Li, Xia Xiao, Zhengbo Zhang, Wenao Liu

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Early acetabular cup migration may be a source of error in the assessment of intra-operative placement accuracy by Shahnaz Taleb, Jennifer S. Polus, Brent Lanting, Matthew G. Teeter

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A functional selection model explains evolutionary robustness despite plasticity in regulatory networks by Naomi Habib, Ilan Wapinski, Hanah Margalit, Aviv Regev, Nir Friedman

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