Results 31 to 40 of about 5,255 (193)
Date Palm Identification using DenseNet-201 Transfer Learning Method
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2023 There are more than 400 types of dates in the world that are similar in size, shape, colour, fruit texture, taste and maturity, making it difficult for people to memorise them. Identification with artificial intelligence can make labelling dates easier.
Kusnadi Bin Raman, Agus Subekti
doaj +1 more source
, 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
core +1 more source
Crowd Counting with Decomposed Uncertainty
, 2020 Research in neural networks in the field of computer vision has achieved remarkable accuracy for point estimation. However, the uncertainty in the estimation is rarely addressed.
Oh, Min-hwan +2 more
core +1 more source
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning [PDF]
Journal of Biomolecular Structure and Dynamics, 2020 Deep learning models are widely used in the automatic analysis of radiological images. These techniques can train the weights of networks on large datasets as well as fine tuning the weights of pre-trained networks on small datasets. Due to the small COVID-19 dataset available, the pre-trained neural networks can be used for diagnosis of coronavirus ...
Jaiswal, Aayush +4 more
openaire +2 more sources
COVID-19 Diagnosis on Chest Radiographs with Enhanced Deep Neural Networks
Diagnostics, 2022 The COVID-19 pandemic has caused a devastating impact on the social activity, economy and politics worldwide. Techniques to diagnose COVID-19 cases by examining anomalies in chest X-ray images are urgently needed. Inspired by the success of deep learning
Chin Poo Lee, Kian Ming Lim
doaj +1 more source
Turkish Lira Banknote Classification using Transfer Learning and Deep Learning
Acta InfologicaWith the increasing exchange of foreign currencies due to globalization, there is a need for systems that can recognize and validate multiple currencies in real time.
Mirsat Yeşiltepe +2 more
doaj +1 more source
Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet
Diagnostics, 2023 Artificial intelligence models do not provide information about exactly how the predictions are reached. This lack of transparency is a major drawback.
Burak Taşcı
doaj +1 more source
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
, 2019 In recent years, advances in deep learning have resulted in unprecedented leaps in diverse tasks spanning from speech and object recognition to context awareness and health monitoring.
Almeida, Mario +4 more
core +1 more source
Atrous Convolutional Self-Attention-Based Capsule Network for Lung Disease Classification
International Journal of Emerging Research in Engineering, Science, and ManagementLung diseases remain a major global health concern, affecting the supply of oxygen to other parts of the body. There are several types of lung diseases, including asthma, COPD, and pneumonia.
Praveena Kakarla, Vimala C
doaj +1 more source
Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion
Diagnostics, 2021 Breast cancer is becoming more dangerous by the day. The death rate in developing countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading to a lower death rate.
Rizwana Irfan +5 more
doaj +1 more source