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. …”
Get full text

Stub Signature-Based Efficient Public Data Auditing System Using Dynamic Procedures in Cloud Computing by Paromita Goswami, Neetu Faujdar, Ghanshyam Singh, Kanta Prasad Sharma, Ajoy Kumar Khan, Somen Debnath

“…To address these issues, we suggest proposing a partial signature-based data auditing system so that both privacy and accuracy can be fortified while reducing the computational cost associated with auditing processes significantly. …”
Get full text

Conditional Random Field-Based Incremental Auto Scaling Algorithm to Enhance Workflow Scheduling in Cloud Computing by George Fernandez, Arunkumar Gopu, S. P. Abirami, B. Misha Chandar, T. Poongodi, B. Arunkumar

“…Thus, according to the values obtained in the experiment, it is proved that the proposed auto-scaling algorithm is effective with the identified evaluation criteria: This is the total time needed to complete all activities, the energy used in the computing process, the costs incurred, and the rate at which the activities are completed in a schedule. …”
Get full text

MPJ-SPARK Integration-Based Technique to Enhance Big Data Analytics in High Performance Computing Environments by Sakhr A. Saleh, Maher A. Khemakhem, Fathy E. Eassa

“…Each worker operates with an isolated Spark driver, processes tasks independently, and returns results to the root process for aggregation. …”
Get full text

Machine Learning-Based Classification of Sulfide Mineral Spectral Emission in High Temperature Processes by Carlos Toro, Walter Díaz, Gonzalo Reyes, Miguel Peña, Nicolás Caselli, Carla Taramasco, Pablo Ormeño-Arriagada, Eduardo Balladares

Get full text

Hardware Implementation of Block Floating-Point FFT Based on Approximate Computation and Conflict-Free Access by Xiaohui Zhang, Zenghui Yu, Shushan Qiao, Yi Zhan

“…This paper proposes a novel Fast Fourier Transform hardware architecture for natural-order multi-input multi-output processing, which is based on approximate computing and the block floating-point data format. …”
Get full text

Model for Prediction of Testing Time of a Computer Program for Automated Reliability Evaluation of Semiconductor Devices by V. O. Kaziuchyts, S. M. Borovikov, E. N. Shneiderov

“…The model was used for the computer program KLASS planned for development and takes into account the programming language, the amount of program code, the speed of the computer processor, and the scope of the program. …”
Get full text

Elementary integrate-and-fire process underlies pulse amplitudes in Electrodermal activity. by Sandya Subramanian, Patrick L Purdon, Riccardo Barbieri, Emery N Brown

Get full text

When less is more: non-monotonic spike sequence processing in neurons. by Hinrich Arnoldt, Shuwen Chang, Sven Jahnke, Birk Urmersbach, Holger Taschenberger, Marc Timme

“…Fundamental response properties of neurons centrally underly the computational capabilities of both individual nerve cells and neural networks. …”
Get full text

Understanding pitch perception as a hierarchical process with top-down modulation. by Emili Balaguer-Ballester, Nicholas R Clark, Martin Coath, Katrin Krumbholz, Susan L Denham

Get full text

An integrated calcium imaging processing toolbox for the analysis of neuronal population dynamics. by Sebastián A Romano, Verónica Pérez-Schuster, Adrien Jouary, Jonathan Boulanger-Weill, Alessia Candeo, Thomas Pietri, Germán Sumbre

“…We present a comprehensive computational workflow for the analysis of neuronal population calcium dynamics. …”
Get full text

Marked point process variational autoencoder with applications to unsorted spiking activities. by Ryohei Shibue, Tomoharu Iwata

Get full text

Applications of natural language processing and large language models in materials discovery by Xue Jiang, Weiren Wang, Shaohan Tian, Hao Wang, Turab Lookman, Yanjing Su

Get full text

HTML5-based graphic image processing and collaborative drawing technology by Yinghua Liang

“…This discovery provides important evidence for its practical application in many fields such as computer vision, medical imaging, and remote sensing image analysis, and helps to promote the development and innovation of image processing technology in these fields to meet the increasing practical needs.…”
Get full text

Understanding dual process cognition via the minimum description length principle. by Ted Moskovitz, Kevin J Miller, Maneesh Sahani, Matthew M Botvinick

“…We apply a single model based on this observation to findings from research on executive control, reward-based learning, and judgment and decision making, showing that seemingly diverse dual-process phenomena can be understood as domain-specific consequences of a single underlying set of computational principles.…”
Get full text

Statistical dynamics of flowing red blood cells by morphological image processing. by John M Higgins, David T Eddington, Sangeeta N Bhatia, L Mahadevan

Get full text

RMPJ: An ImageJ plugin for morphological information processing in biomedical images. by Yoshitaka Kimori

Get full text

An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling. by Sanmitra Ghosh, Paul J Birrell, Daniela De Angelis

“…An elegant approach to capturing environmental stochasticity is to model the force of infection as a stochastic process. However, inference in this context requires solving a computationally expensive "missing data" problem, using data-augmentation techniques. …”
Get full text

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum by J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate

Subjects: Get full text

Enhancing IoT Scalability and Interoperability Through Ontology Alignment and FedProx by Chaimae Kanzouai, Soukaina Bouarourou, Abderrahim Zannou, Abdelhak Boulaalam, El Habib Nfaoui

Subjects: “…IoT-edge computing…”
Get full text