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Showing 20 of 278 academic articles

Deep learning based identification and tracking of railway bogie parts

Muhammad Zakir Shaikh, Zeeshan Ahmed, Enrique Nava Baro, Samreen Hussain et al. • Alexandria Engineering Journal (2024)

The Train Rolling-Stock Examination (TRSE) is a safety examination process that physically examines the bogie parts of a moving train, typically at speeds over 30 km/h. Currently, this inspection process is done manually by railway personne...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2024.07.064

Applied research note: Predicting carcass portion weights for purebred turkey (Meleagris gallopavo) lines using a 2D imaging system

Shai Barbut, Emily M. Leishman, Ryley J. Vanderhout, Benjamin J. Wood et al. • Journal of Applied Poultry Research (2025)

Summary: Improving carcass portion yields (e.g., breast meat) is a major goal of modern turkey breeding and traditionally requires manual collection of portion weights. This can be a labor-intensive process considering the large amount of d...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.japr.2024.100506

Visual servoing for robot control: Learning activities using RoboDKde robots: actividades de aprendizaje con RoboDK

Raidell Avello-Martínez, Abraham Prieto García • Edutec (2025)

Visual servo control is a key robotic control technique that uses visual feedback to dynamically adjust movements. This study, conducted within the AIM@VET project, evaluates the effectiveness of a RoboDK-based lesson with 25 vocational stu...

DOAJ Open Access (DOAJ) DOI: 10.21556/edutec.2025.94.3955

Robot Comedy Lab: Experimenting with the Social Dynamics of Live Performance

Kleomenis eKatevas, Patrick G.T. Healey, Matthew Tobias Harris • Frontiers in Psychology (2015)

The success of live comedy depends on a performer's ability to 'work' an audience. Ethnographic studies suggest that this involves the co-ordinated use of subtle social signals such as body orientation, gesture, gaze by both performers and ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2015.01253

Multimodal Phase-Space Dynamics Fusion for Robust Ischemia Screening: An Edge-AI Paradigm with SERF Magnetocardiography

Keyi Li, Xiangyang Zhou, Yifan Jia, Ruizhe Wang et al. • Biosensors (2026)

Background: Myocardial ischemia (MI) is a major cause of morbidity and mortality worldwide and requires timely and reliable detection. Although Spin-Exchange Relaxation-Free (SERF) magnetocardiography (MCG) provides femtotesla-level sensiti...

DOAJ Open Access (DOAJ) DOI: 10.3390/bios16040228

DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access (2023)

LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3298706

MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning researchMendeley Data

Sabit Ahamed Preanto, Tapon Paul, Abid Khan, Md Hasan Imam Bijoy • Data in Brief (2025)

Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight infl...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2025.112174

Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration

Alireza Haji Fathaliyan, Xiaoyu Wang, Veronica J. Santos • Frontiers in Robotics and AI (2018)

Human–robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze trac...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2018.00025

Resource-Aware Scene Text Recognition Using Learned Features, Quantization, and Contour-Based Character Extraction

Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access (2023)

Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3283931

Edge-intelligent lightweight vision system for perspective-corrected egg-cage matching in cage-reared ducks

Dakang Guo, Jiatao Wang, Zeyuan Lin, Youfu Liu et al. • Poultry Science (2026)

In the stereoscopic cage-rearing system, monitoring the individual egg production of laying ducks is essential for identifying low-yield individuals and optimizing breeding management. To overcome the high deployment cost of multi-sensor mo...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.psj.2026.106479

Open real-time, non-invasive fish detection and size estimation utilizing binocular camera system in a Portuguese river affected by hydropeaking

Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa et al. • Ecological Informatics (2025)

The need for efficient approaches to track and assess fish behavior in rivers impacted by hydropeaking is increasing. Nonetheless, employing an automated camera system for underwater monitoring requires that the algorithms function under hi...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ecoinf.2025.103196

Low illumination image enhancement algorithm of CycleGAN coal mine based on attention mechanism and Dilated convolution

Yuanbin WANG, Yaru GUO, Jia LIU, Xu WANG et al. • Meitan kexue jishu (2024)

The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by under...

DOAJ Open Access (DOAJ) DOI: 10.12438/cst.2023-1597

Addressing practical challenge of using autopilot drone for asphalt surface monitoring: Road detection, segmentation, and following

Hormazd Ranjbar, Perry Forsythe, Alireza Ahmadian Fard Fini, Mojtaba Maghrebi et al. • Results in Engineering (2023)

According to the recent world bank report, around 80% of a life-cycle cost of a road is devoted to maintenance which includes monitoring and repair processes. To more effectively keep road serviceability, knowing the current status of road ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2023.101130

Real-Time Weapon Detection and Suspect Face Capturing System Using YOLOv8

Chairina Ulfa, Muhammad Fikry, Hafizh Al Kautsar AIdilof • Journal of Applied Informatics and Computing (2026)

The rise of violent crimes involving sharp weapons and firearms in public spaces, including educational campuses, demands an automated real-time surveillance system to assist security personnel. This study proposes a web-based weapon detect...

DOAJ Open Access (DOAJ) DOI: 10.30871/jaic.v10i4.13454

Neural Networks and Natural Intelligence

• The MIT Press eBooks (1988)

Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations ...

OPENALEX DOI: https://doi.org/10.7551/mitpress/4934.001.0001

Evaluation of noise reduction methods in digital images: Classical filtering vs adaptive learning-based models

Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances (2026)

Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0332993

Tailoring Mission Effectiveness and Efficiency of a Ground Vehicle Using Exergy-Based Model Predictive Control (MPC)

Robert Jane, Tae Young Kim, Emily Glass, Emilee Mossman et al. • Energies (2021)

To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a m...

DOAJ Open Access (DOAJ) DOI: 10.3390/en14196049