Work-based learning as a shift towards improved labour market skills in VET in Latvia by Biruta Sloka, Ilze Buligina

Get full text

Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…The paper synthesizes insights from a broad range of studies, tracing the evolution from traditional image processing methods to sophisticated DL techniques, such as Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). …”
Get full text

An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

Get full text

Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables by Haihua Jing, Jianwei Liu, Qin Zhang, Zhenshan Wang, XiaoTeng Pang, Xinghan Xu

Get full text

AI-enabled driver assistance: monitoring head and gaze movements for enhanced safety by Sayyed Mudassar Shah, Gan Zengkang, Zhaoyun Sun, Tariq Hussain, Khalid Zaman, Abdullah Alwabli, Amar Y. Jaffar, Farman Ali

Get full text

Development of ANPR Framework for Pakistani Vehicle Number Plates Using Object Detection and OCR by Salma, Maham Saeed, Rauf ur Rahim, Muhammad Gufran Khan, Adil Zulfiqar, Muhammad Tahir Bhatti

“…For comparison and validation, we implemented a LeNet Convolutional Neural Network (CNN) architecture which uses the segmented image as an input. …”
Get full text

Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood by Daniel Feldman, Molly Prigge, Andrew Alexander, Brandon Zielinski, Janet Lainhart, Jace King

Get full text

A Phenomenological Study of the Role of Store Mannequins on the Experienced Responses of Generation-Y Female Customers by Kobra Najafi, Kambiz Heidarzadeh Hanzaee, Mohsen Khounsiavash

“…Methodology A qualitative methodology was employed in this research, involving the selection of participants to explore the role of mannequins. Subsequently, data analysis was conducted using the "MAXQDA" software. …”
Get full text

Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records by Mamadou Dia, Ghazaleh Khodabandelou, Syed Muhammad Anwar, Alice Othmani

Get full text

Deep learning-based occlusion-aware face mask detection for airborne disease control by Teshome Ayechiluhem Yalew, Sosina M. Gashaw, Aleka Melese Ayalew, Mourad Oussalah

Get full text

Representation of Iran among Iraqi social media users (A case study of Facebook users after the defeat of ISIS until the martyrdom of Hajj Qassem Soleimani) by mohsen finizadeh bidgoli

“…In this context, the representation of Iran’s image among Iraqi users on social media—particularly on Facebook, which remains the dominant platform in Iraq—can serve as a meaningful indicator of the success of Iran’s soft power and public diplomacy efforts.Method: This research focuses on the representation of Iran among Iraqi social media users, with Facebook as the primary source of data due to its widespread use in Iraq. …”
Get full text

Evolving Strategies in Machine Learning: A Systematic Review of Concept Drift Detection by Gurgen Hovakimyan, Jorge Miguel Bravo

“…Key findings highlight the effectiveness of diverse methodologies such as drift detection methods, window-based methods, unsupervised statistical methods, and neural network techniques. However, challenges remain, particularly with imbalanced data, computational efficiency, and the application of concept drift detection to non-tabular data like images. …”
Get full text

Mysterious seismoacoustic signals of eastern Helwan quarry blasts 2022 by Islam Hamama, Shimaa H. Elkhouly, Hanan Gaber, Mona Hamada, Hany S. Elbehiri, Adel S. Othman, Mohamed Maklad, Mona Abdelazim, Mohamed N. ElGabry, Ahmed Lethy, Hesham Hussein, Masa-yuki Yamamoto

“…Infrasound propagation models, coupled with F-K analysis, further confirmed the locations and directions of the recorded events, providing robust data that could be correlated with planet satellite images of the azimuth directions detected via the infrasound array analyses. …”
Get full text

Health Monitoring of Carbon Fiber Reinforced Building Materials Based on Phase Unwrapping Algorithm by Min Yan, Jianjun Zhou, Shuai Guo, Yanlong Li

“…When constructing the model, deep convolutional neural network is used to effectively extract the features of carbon fiber reinforced building materials, and improve the analysis ability of the building materials monitoring model. …”
Get full text

Pre- and post-COVID-19 pandemic identification of dengue hotspots and exploration of population and environmental determinants of dengue in Quezon City, Philippines by John Robert Carabeo Medina, Shin’ya Kawamura, Rie Takeuchi, Rolando V. Cruz, Johnedel Mendoza, Paul Michael R. Hernandez, Fernando B. Garcia, Ernesto R. Gregorio, Jun Kobayashi

“…The influence of selected environmental and demographic factors on the persistence of dengue was also explored. Surveillance data from the Quezon City Epidemiology and Surveillance Division, Normalized Difference Vegetation Index (NDVI), and satellite images of built environments, such as buildings, facilities, and transportation network hubs were processed and analyzed. …”
Get full text

CoroYOLO: a novel colorectal cancer detection method based on the Mamba framework by Wenfei Chen, Fengrui Hou, Yika Shen

“…In recent years, object detection methods based on convolutional neural networks (CNNs) and transformers have made significant progress in medical image analysis. …”
Get full text

A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease by Giles Dixon, Hannah Thould, Matthew Wells, Krasimira Tsaneva-Atanasova, Chris J. Scotton, Michael A. Gibbons, Shaney L. Barratt, Jonathan C.L. Rodrigues

Get full text

Non-linear relationship between built environment and non-motorized travel efficiency under the traffic micro-circulation model. by Xiaoyuan Dong, Lining Wang, Sen Du, Bicheng Qian, Jiaxin Wang

“…This paper focuses on the core area of Chengguan District in Lanzhou City, utilizing multi-source big data including POI, OpenStreetMap, street view images, and built environment data. …”
Get full text

Galaxy Cluster Characterization with Machine Learning Techniques by M. Sadikov, J. Hlavacek-Larrondo, L. Perreault-Levasseur, C. L. Rhea, M. McDonald, M. Ntampaka, J. ZuHone

“…Finally, we use simulation-based inference to extract posterior distributions for the network predictions. Our neural network simultaneously predicts all five classification metrics using only mock Chandra X-ray images. …”
Get full text

Division, Naming, and Spatial Distribution Characteristics of Small Watersheds in Mixed Terrains:A Case Study of Yingwen River Basin by CHEN Fei-yong, CHEN Qian-xun, JIANG Qian-qian, MA Shu-juan, XU Jing-tao, REN Guang-xin, CHENG Xiao-xiang, WANG Jin

“…[Objective] Focusing on the Yingwen River Basin in Shandong Province, this study aims to explore the extraction, division, naming methods for small watersheds in mixed terrains, and to analyze spatial distribution characteristics of small watershed areas and river network densities. [Methods] This study utilized high-precision SRTM-DEM data, combined with hydrological analysis modules, to extract micro-watersheds, river networks, and watershed boundaries. …”
Get full text