Results 31 to 40 of about 14,783 (197)
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
, 2017 The exquisite sensitivity of the advanced LIGO detectors has enabled the detection of multiple gravitational wave signals. The sophisticated design of these detectors mitigates the effect of most types of noise.
George, Daniel +2 more
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Performance Comparison of VGG16 and VGG19 Architectures for Corn Leaf Disease Classification
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Corn (Zea Mays L.) faces challenges from leaf diseases, which become severe when farmers lack the expertise to recognize and manage them. This study presents a comparative analysis of VGG16 and VGG19 architectures for detecting corn leaf diseases ...
Nofitasari Dwi Rezeki +2 more
doaj +1 more source
Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data [PDF]
ITM Web of ConferencesDeep learning models have become essential for automated medical image analysis in brain tumor detection. Existing Convolutional Neural Network (CNN) models like Visual Geometry Group 19 (VGG19), Residual Network 18 (ResNet18), and Residual Network 34 ...
Zhu Zhimeng
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Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer
Diagnostics, 2023 Cervical cancer is one of the most common types of malignant tumors in women. In addition, it causes death in the latter stages. Squamous cell carcinoma is the most common and aggressive form of cervical cancer and must be diagnosed early before it ...
Mohammed Hamdi +5 more
doaj +1 more source
Improving Accuracy of Cloud Images using DenseNet-VGG19
International Journal on Advanced Science, Engineering and Information Technology, 2023 Weather classification has become a significant challenge due to the unpredictable nature of climate conditions. For farmers, predicting the start of the rainy season is very important. This is because it is related to the cost factor that must be incurred, and also, the waiting time for the harvest will have an effect if the weather is not supportive.
Gita Fadila Fitriana +4 more
openaire +1 more source
Building a Framework for Visual Question Answering Systems
Syrian Journal for Science and InnovationVQA (Visual Question Answering) systems are among the latest advancements in the fields of artificial intelligence and deep learning. They integrate image processing with natural language understanding to enable intelligent systems to answer questions ...
Maya Abu Hamoud, Wasim Safi
doaj +1 more source
Sensors, 2023 Induction machines (IMs) play a critical role in various industrial processes but are susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic techniques are essential in addressing these issues. In this study, we propose the
Kevin Barrera-Llanga +3 more
doaj +1 more source
Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation
, 2018 Semantic Segmentation using deep convolutional neural network pose more complex challenge for any GPU intensive task. As it has to compute million of parameters, it results to huge memory consumption.
Kamran, Sharif Amit, Sabbir, Ali Shihab
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Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
, 2016 We propose Impatient Deep Neural Networks (DNNs) which deal with dynamic time budgets during application. They allow for individual budgets given a priori for each test example and for anytime prediction, i.e., a possible interruption at multiple stages ...
Amthor, Manuel +2 more
core +1 more source
Classification of Animal Behaviour Using Deep Learning Models
Advances in Distributed Computing and Artificial Intelligence JournalDamage to crops by animal intrusion is one of the biggest threats to crop yield. People who stay near forest areas face a major issue with animals. The most significant task in deep learning is animal behaviour classification. This article focuses on the
M. Sowmya +2 more
doaj +1 more source