Results 11 to 20 of about 17,494 (194)
Hybrid Deep Learning Algorithms for Dog Breed Identification—A Comparative Analysis
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 determine the dog ...
B. Valarmathi +5 more
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MirBot: A collaborative object recognition system for smartphones using convolutional neural networks [PDF]
, 2018 MirBot is a collaborative application for smartphones that allows users to perform object recognition. This app can be used to take a photograph of an object, select the region of interest and obtain the most likely class (dog, chair, etc.) by means of ...
Bernabeu, Marisa +2 more
core +3 more sources
MALWARE DETECTION SYSTEM BASED ON DEEP LEARNING TECHNIQUE
Iraqi Journal of Information & Communication Technology, 2021 In this paper, we propose a malware classification and detection framework using transfer learning based on existing Deep Learning models that have been pre-trained on massive image datasets, we applied a deep Convolutional Neural Network (CNN) based on
Zahraa Z. Edie, Ammar D. jasim
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Laboratory Animal Research, 2022 Background Now that it is possible to efficiently classify and save tissue images of laboratory animals using whole-slide imaging, many diagnostic models are being developed through transfer learning with Convolutional Neural Network (CNN). In this study,
Jong Su Byun +3 more
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EXFI: a low cost Fault Injection System for embedded Microprocessor-based Boards [PDF]
, 1998 Evaluating the faulty behavior of low-cost embedded microprocessor-based boards is an increasingly important issue, due to their adoption in many safety critical systems. The architecture of a complete Fault Injection environment is proposed, integrating
A. Benso +7 more
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Frontiers in Oncology, 2023 Lung cancer is a fatal disease caused by an abnormal proliferation of cells in the lungs. Similarly, chronic kidney disorders affect people worldwide and can lead to renal failure and impaired kidney function.
Ananya Bhattacharjee +9 more
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, 2020 Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation systems. However, most of them require expensive and/or heavy hardware.
Breve, Fabricio +1 more
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Fractal and Fractional, 2023 In response to challenges associated with feature extraction and diagnostic models’ complexity in the early diagnosis of bearings’ faults, this paper presents an innovative approach for the early fault diagnosis of rolling bearings.
Fengyun Xie +3 more
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Betel nut classification algorithm based on improved Xception
Shipin yu jixie, 2023 Objective: In order to reduce the manual demand of betel nut classification improve the accuracy of betel nut classification and reduce the size of classification model.
LIU Chang-jun +2 more
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A Survey of the Recent Architectures of Deep Convolutional Neural Networks
, 2020 Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several competitions related to Computer Vision and Image Processing.
Khan, Asifullah +3 more
core +1 more source