MainReads

Discover Books. Explore Knowledge.

Home » Academic Articles & Research Papers

Academic Articles & Research Papers

Search and discover peer-reviewed scholarly literature, open-access articles, and research citations across DOAJ, PubMed Central, and OpenAlex.

Reset
Showing 20 of 1,156 academic articles

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

Enhanced Skin Condition Prediction Through Machine Learning Using Dynamic Training and Testing Augmentation

Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access (2020)

In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2976045

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

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

Computer Vision for Autonomous Vehicles

Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger • Foundations and Trends® in Computer Graphics and Vision (2020)

Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the fiel...

OPENALEX Open Access DOI: https://doi.org/10.1561/0600000079

Evaluating the ergonomic deficiencies in computer workstations and investigating their correlation with reported musculoskeletal disorders and visual symptoms among computer users in Bangladeshi university

Md Golam Kibria, Md Shohel Parvez, Palash Saha, Subrata Talapatra • Heliyon (2023)

Background: Nowadays, computer users are facing musculoskeletal disorders (MSDs) and visual symptoms. Prolonged sitting in inappropriate, awkward, and static postures on the computer workstation may cause musculoskeletal disorders (MSDs). S...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2023.e22179

Neural Networks for Pattern Recognition

Albert Nigrin • The MIT Press eBooks (1993)

In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural network...

OPENALEX DOI: https://doi.org/10.7551/mitpress/4923.001.0001

Binarized Neural Networks

Itay Hubara, Daniel Soudry, Yaniv, Ran El • arXiv (Cornell University) (2016)

We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time and when computing the parameters' gradient at train-time. We conduct two sets of experiments, each based on a...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1602.02505

Modeling of Self-Aligned Selector Based on Ultra-Thin Metal Oxide for Resistive Random-Access Memory (RRAM) Crossbar Arrays

Mikhail Fedotov, Viktor Korotitsky, Sergei Koveshnikov • Nanomaterials (2024)

Resistive random-access memory (RRAM) is a crucial element for next-generation large-scale memory arrays, analogue neuromorphic computing and energy-efficient System-on-Chip applications. For these applications, RRAM elements are arranged i...

DOAJ Open Access (DOAJ) DOI: 10.3390/nano14080668

Digital Local Return Services and Purchase Intention in Cross-Border E-Commerce: A Risk–Trust Perspective

Xianfa Shi, Miao Su, Keun-sik Park • Journal of Theoretical and Applied Electronic Commerce Research (2026)

Cross-border e-commerce offers consumers broader product access, yet uncertainty surrounding returns continues to suppress online purchase decisions. This study conceptualizes digital local return services as a digital assurance mechanism i...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer21060165

An Introduction to Neural Networks

Kevin Robert Gurney • CRC Press eBooks (2018)

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counte...

OPENALEX DOI: https://doi.org/10.1201/9781315273570

Dynamic Elliptical Shaping Control for Swarm Robots

Shae T. Hart, Jake Kamenetsky, Christopher A. Kitts • IEEE Access (2023)

Solving the robotic swarm coverage problem for an elliptical area has various applications for exploring novel environments. Solutions for this problem should cover a specified ellipse and seamlessly adapt to changing numbers of robots. Pre...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3244911