Results 11 to 20 of about 22,365 (196)

Thin MobileNet: An Enhanced MobileNet Architecture [PDF]

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019
In the field of computer, mobile and embedded vision Convolutional Neural Networks (CNNs) are deep learning models which play a significant role in object detection and recognition. MobileNet is one such efficient, light-weighted model for this purpose, but there are many constraints or challenges for the hardware deployment of such architectures into ...
Debjyoti Sinha, Mohamed El-Sharkawy
openaire   +1 more source

A new model to detect COVID-19 patients based on Convolution Neural Network via l1 regularization

Applied Mathematics in Science and Engineering, 2023
The 2019 new coronavirus illness (COVID-19) is an international public health emergency. Our social and healthcare systems are under a great deal of strain as a result of the daily increase in infection rates and fatalities.
Chrispin Jiji, Annie Bessant, K. Martin Sagayam, A. Amir Anton Jone, Hatıra Günerhan, Alphonse Houwe   +5 more
doaj   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

Binarizing MobileNet via Evolution-Based Searching [PDF]

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Binary Neural Networks (BNNs), known to be one among the effectively compact network architectures, have achieved great outcomes in the visual tasks. Designing efficient binary architectures is not trivial due to the binary nature of the network. In this paper, we propose a use of evolutionary search to facilitate the construction and training scheme ...
Phan, Hai, Liu, Zechun, Huynh, Dang, Savvides, Marios, Cheng, Kwang-Ting, Shen, Zhiqiang   +5 more
openaire   +2 more sources

GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, Nouf Abdullah Almujally, Muhammad Aslam, Syeda Fizzah Jilani   +5 more
wiley   +1 more source

Mobilenet-based Transfer Learning for Detection of Eucalyptus Pellita Diseases

Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2023
Currently, the pulp industry in Indonesia is ranked eighth in the world and the paper industry is ranked sixth in the world. One of the advantages in supporting the industry is that Indonesia has a large Industrial Plantation Forest (HTI) where the ...
Deviana Sely Wita, Agus Subekti
doaj   +1 more source

Applied AI with PLC and IRB1200

Applied Sciences, 2022
This paper presents the application of artificial intelligence applied to image classification according to CNN (Convolutional neutral network) algorithm. Two AI (artificial intelligence) models were submitted for verification.
Monika Rybczak, Natalia Popowniak, Krystian Kozakiewicz   +2 more
doaj   +1 more source

Automatic generation of structured radiology reports for volumetric computed tomography images using question-Specific deep feature extraction and learning

Journal of Medical Signals and Sensors, 2021
Background: In today's modern medicine, the use of radiological imaging devices has spread at medical centers. Therefore, the need for accurate, reliable, and portable medical image analysis and understanding systems has been increasing constantly ...
Samira Loveymi, Mir Hossein Dezfoulian, Muharram Mansoorizadeh   +2 more
doaj   +1 more source

Subtensor Quantization for Mobilenets [PDF]

, 2020
Embedded Vision Workshop, 16th European Conference on Computer Vision (ECCV), Aug ...
Dinh, Thu, Melnikov, Andrey, Daskalopoulos, Vasilios, Chai, Sek   +3 more
openaire   +2 more sources

Lightweight FaceNet Based on MobileNet

International Journal of Intelligence Science, 2021
Face recognition is a kind of biometric technology that recognizes identities through human faces. At first, the speed of machine recognition of human faces was slow and the accuracy was lower than manual recognition. With the rapid development of deep learning and the application of Convolutional Neural Network (CNN) in the field of face ...
Xinzheng Xu, Meng Du, Huanxiu Guo, Jianying Chang, Xiaoyang Zhao   +4 more
openaire   +2 more sources