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Showing 20 of 234 academic articles

Deep Learning for Understanding Satellite Imagery: An Experimental Survey

Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence (2020)

Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2020.534696

A Survey of Deep Learning Techniques and Computer Vision in Robotic and Drone with Applications

Khazaal Abbas Maaroof Maysoon, Bouhlel Med Salim • BIO Web of Conferences (2024)

The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the re...

DOAJ Open Access (DOAJ) DOI: 10.1051/bioconf/20249700008

A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification

Samy Bakheet, Ayoub Al-Hamadi • Brain Sciences (2021)

Due to their high distinctiveness, robustness to illumination and simple computation, Histogram of Oriented Gradient (HOG) features have attracted much attention and achieved remarkable success in many computer vision tasks. In this paper, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/brainsci11020240

Hybrid Deep Learning Algorithms for Dog Breed Identification—A Comparative Analysis

B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy et al. • IEEE Access (2023)

Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3297440

Face hallucination based on cluster consistent dictionary learning

Minqi Li, Xiangjian He, Kin‐Man Lam, Kaibing Zhang et al. • IET Image Processing (2021)

Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to better...

DOAJ Open Access (DOAJ) DOI: 10.1049/ipr2.12269

Evaluation of Indoor Thermal Environments Using a Novel Predicted Mean Vote Model Based on Artificial Neural Networks

Xiaosai Duan, Suihuai Yu, Jianjie Chu, Dengkai Chen et al. • Buildings (2022)

The assessment of indoor thermal environments is crucial to achieving thermal comfort and energy efficiency. However, the inaccurate evaluation and strong nonlinear variations of thermal comfort parameters limit engineering designs. Therefo...

DOAJ Open Access (DOAJ) DOI: 10.3390/buildings12111880

Logical Reasoning Based on Residual Attention Multi-scale Relation Network

XIONG Zhongmin, ZENG Qi, LU Peng, WANG Zhenhua, ZHENG Zongsheng • Jisuanji gongcheng (2023)

Logical reasoning is the ability to perceive patterns and connections between visual elements. Endowing computers with human-like reasoning ability is a critical area of research;state-of-the-art deep neural networks have achieved superhuma...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0064591

Identifying urban villages using graph neural network and transfer learning in Southern Jiangsu, China

Zhenkang Wang, Nan Xia, Jiale Liang, Jiechen Wang • Geo-spatial Information Science (2026)

China’s rapid urbanization has led to the emergence of urban villages (UVs), whose governance is crucial for urban quality and built environment management. However, conventional identification methods rely on high-resolution remote sensing...

DOAJ Open Access (DOAJ) DOI: 10.1080/10095020.2026.2711549

A Novel Methodology for Human Kinematics Motion Detection Based on Smartphones Sensor Data Using Artificial Intelligence

Ali Raza, Mohammad Rustom Al Nasar, Essam Said Hanandeh, Raed Abu Zitar et al. • Technologies (2023)

Kinematic motion detection aims to determine a person’s actions based on activity data. Human kinematic motion detection has many valuable applications in health care, such as health monitoring, preventing obesity, virtual reality, daily li...

DOAJ Open Access (DOAJ) DOI: 10.3390/technologies11020055

Condensing AI-Based Attitude Control Using Kolmogorov–Arnold Networks for Memory Efficiency

Kirill Djebko, Patrick Schurk, Tom Baumann, Frank Puppe et al. • Aerospace (2025)

Artificial Intelligence (AI) is rapidly transforming engineering fields, from robotics to aerospace, with applications in control systems for UAVs and satellites. This work builds on a previously developed AI attitude controller for the Inn...

DOAJ Open Access (DOAJ) DOI: 10.3390/aerospace12121039

Credit card fraud detection in the era of disruptive technologies: A systematic review

Asma Cherif, Arwa Badhib, Heyfa Ammar, Suhair Alshehri et al. • Journal of King Saud University: Computer and Information Sciences (2023)

Credit card fraud is becoming a serious and growing problem as a result of the emergence of innovative technologies and communication methods, such as contactless payment. In this article, we present an in-depth review of cutting-edge resea...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jksuci.2022.11.008

DVNDTA: a dual virtual node based heterogeneous interaction model for accurate prediction of drug-target affinity

Guoqiang Zhou, Ben Li, Weifeng Zhang, Shudi Bao et al. • BMC Bioinformatics (2026)

Abstract Efficient prediction of drug-target affinity (DTA) is crucial for accelerating drug discovery. Recently, deep learning approaches leveraging 3D complexes have shown strong potential for drug-target affinity prediction. However, mos...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-026-06481-5

A deep-reinforcement learning approach for optimizing homogeneous droplet routing in digital microfluidic biochips

Basudev Saha, Bidyut Das, Mukta Majumder • Nanotechnology and Precision Engineering (2023)

Over the past two decades, digital microfluidic biochips have been in much demand for safety-critical and biomedical applications and increasingly important in point-of-care analysis, drug discovery, and immunoassays, among other areas. How...

DOAJ Open Access (DOAJ) DOI: 10.1063/10.0017350

Relationship between perceived teacher support and learning engagement among adolescents: Mediation role of technology acceptance and learning motivation

Fuhai An, Jingyi Yu, Linjin Xi • Frontiers in Psychology (2022)

This study is aimed at investigating the relationship between perceived teacher support and learning engagement and exploring the mediation role played by technology acceptance and learning motivation. It adopted a structural equation model...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2022.992464

Rider Optimization With Deep Learning Based Image Encryption for Secure Drone Communication

N. Kannaiya Raja, E. Laxmi Lydia, Thumpala Archana Acharya, K. Radhika et al. • IEEE Access (2023)

In recent years, drones or Unmanned Aerial Vehicles (UAVs) got significant attention among researchers because of their extensive application in commercial applications, border surveillance, etc. As the conventional terrestrial communicatio...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3324068

Availability-Aware Multitask Learning for Robust Clinical Prediction from Incomplete Electronic Health Records

Zhainagul Khamitova, Gulmira Omarova, Akerke Akanova, Aliya Abdukarimova et al. • Computers (2026)

This study presents NORIA, an availability-aware multitask learning framework for clinical prediction from incomplete electronic health records (EHRs). We analyzed a public dataset of 77,724 patients and 107 numerical features. To prevent t...

DOAJ Open Access (DOAJ) DOI: 10.3390/computers15100723