Investigation of the Structural Characteristics of the Gas Diffusion Layer Using Micro-X-Ray Computed Tomography by Qitong Shi, Cong Feng, Bing Li, Pingwen Ming

“…The microstructure of the GDLs was obtained using micro-X-ray computed tomography in this study, and their structural properties were analyzed comprehensively and quantitatively. …”
Get full text

A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities by Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal

“…With the rise of urbanization and the increasing challenges of waste management, innovative technologies play a pivotal role in optimizing waste collection, sorting, recycling, and disposal processes. Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. …”
Get full text

Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model by Tianfeng Li

“…ANN is an abstract model of the human brain neuronal network based on the information-processing perspective and composed of different networks to achieve a specific representation of logical strategies. …”
Get full text

Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…Humor generation presents significant challenges in the field of natural language processing, primarily due to its reliance on cultural backgrounds and subjective interpretations. …”
Get full text

Learner Use of Holistic Language Units in Multimodal, Task-Based Synchronous Computer-Mediated Communication by Karina Collentine

“…Implications explain how tasks might mitigate the potential processing overload that multimodal materials could incur.…”
Get full text

Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures by Edwin Salcedo

“…Alternatively, the emerging paradigm of edge computing, which involves moving computational processes to local devices, offers the potential to reduce latency, enable real-time surveillance, and eliminate reliance on internet connectivity. …”
Get full text

Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach by Przemysław Sekuła, Narjes Shayesteh, Qinglian He, Sara Zahedian, Rodrigo Moscoso, Michał Cholewa

Get full text

Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging by Roberto Limongi, Alexandra B. Skelton, Lydia H. Tzianas, Angelica M. Silva

“…However, the emergence of computational psychiatry has paved a new path not only for understanding the psychopathology of mental illness but also to provide practical tools for clinical practice in terms of computational metrics, specifically computational phenotypes. …”
Get full text

Fluidisation of spherocylindrical particles: computational fluid dynamics–Discrete element method simulation and experimental investigation by Ling Zhou, Bo Wang, Yupeng Cao, Zhenjiang Zhao, Ramesh Agarwal

Get full text

Computational fluid dynamics investigation of heat-exchangers for various air-cooling systems in poultry houses by В.И. Троханяк, И.Л. Роговский, Л.Л. Титова, П.Г. Лузан, П.С. Попык, О.О. Банный

“…The paper presents the improved environment control system in a poultry house. The processes of heat- and mass-exchange in the developed heat-exchangers for various ventilation systems have been investigated. …”
Get full text

A 13.44-Bit Low-Power SAR ADC for Brain–Computer Interface Applications by Hongyuan Yang, Jiahao Cheong, Cheng Liu

“…Experimental results validate the design’s superior performance in terms of low-power operation, high resolution, and moderate sampling rate, positioning it as a competitive solution for high-density integration and precision neural signal processing in next-generation BCI systems.…”
Get full text

Implicit neural representation for fast 4D computed tomography of multiphase flow in porous media by Henrik Friis, Håkon Nese, Giacomo Luani, Colin Pryme, Lars Rennan, Basab Chattopadhyay, Anders Kristoffersen, Ole Jakob Mengshoel, Dag Werner Breiby

“…Abstract Time-resolved X-ray computed tomography (4D-CT) enables dynamic processes within objects to be tracked over time. …”
Get full text

Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review by Hui Chen, Mohammed A.H. Ali, Yusoff Nukman, Bushroa Abd Razak, Sherzod Turaev, YiHan Chen, Shikai Zhang, Zhiwei Huang, Zhenya Wang, Rawad Abdulghafor

Get full text

Gamification and its challenges in e-learning: a case study of computer science learners in KKHSOU by Antara Mahanta Barua, Sruti Sruba Bharali

“…Purpose – The purpose of the case study is to investigate the perception of computer science learners at Krishna Kanta Handiqui State Open University (KKHSOU) regarding the use of gamification and to identify the challenges in implementing gamified teaching-learning processes in open and distance learning (ODL) institutions. …”
Get full text

Modelling the mitigation of anti-vaccine opinion propagation to suppress epidemic spread: A computational approach. by Sarah Alahmadi, Rebecca Hoyle, Michael Head, Markus Brede

Get full text

Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. by Mads L Pedersen, Maria Ironside, Ken-Ichi Amemori, Callie L McGrath, Min S Kang, Ann M Graybiel, Diego A Pizzagalli, Michael J Frank

“…Cross-validation revealed that the combination of these computational biomarkers were diagnostic of patient status, with accumbens influences being particularly diagnostic. …”
Get full text

Memory Constraints in Uncertainty Misestimation: A Computational Model of Working Memory and Environmental Change Detection by Li Xin Lim, Rei Akaishi, Sébastien Hélie

“…This study investigated how limited memory capacity influence uncertainty estimation, potentially leading to misestimations of outcomes and environmental statistics. We developed a computational model incorporating active working memory processes and lateral inhibition to demonstrate how relevant information is selected, stored, and used to estimate uncertainty. …”
Get full text

Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning. by Bo Han, Sudan Bai, Yang Liu, Jiezhang Wu, Xin Feng, Ruihao Xin

“…Pseudouridine is an important modification site, which is widely present in a variety of non-coding RNAs and is involved in a variety of important biological processes. Studies have shown that pseudouridine is important in many biological functions such as gene expression, RNA structural stability, and various diseases. …”
Get full text

Computational Study on the Reaction Mechanism of 5‐Enolpyruvylshikimate‐3‐phosphate Synthase from Nicotiana Tabacum by Qingfang Han, Beibei Lin, Ziwei Liu, Mengsha Li, Zhaopeng Luo, Xixian Xie, Lijuan Ma, Hao Su, Xiang Sheng

Get full text

Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations by Jingpeng Xie, Miaomiao Yu, Guangliang Liu

“…Key innovations include the application of VAEs to create diverse and complex art forms, coupled with PSO to fine-tune these generative processes. The research demonstrates that VAEs significantly improve the aesthetic quality and variety of generated artworks, achieving an average aesthetic score of 8.3 out of 10. …”
Get full text