Results 91 to 100 of about 14,783 (197)

Integrating CNN and RANSAC for improved object recognition in industrial robotics

Systems and Soft Computing
This research introduces a robotic grasping system that merges ORB (Oriented FAST and Rotated BRIEF) feature detection, VGG19 convolutional neural networks, and RANSAC (Random Sample Consensus) geometric verification to achieve high-precision object ...
Yingding Xiao
doaj   +1 more source

Classification Of Brain Tumors Using The VGG19 Method

Jurnal Komputer Indonesia
Brain tumor is one of the diseases that has a high mortality rate and requires early detection to increase the chance of cure. In recent years, artificial intelligence-based methods, especially Deep Learning, have shown promising performance in brain tumor classification using Magnetic Resonance Imaging (MRI) images.
Maulidya Prastita Syah, Mirechelin Kristanaya, Naura Ulayya Nariswari, Melinda Putri Azzahra, Alfan Rizaldy Pratama, Wahyu S.J. Saputra   +5 more
openaire   +1 more source

Excitation Dropout: Encouraging Plasticity in Deep Neural Networks

, 2019
We propose a guided dropout regularizer for deep networks based on the evidence of a network prediction defined as the firing of neurons in specific paths.
Bargal, Sarah Adel, Morerio, Pietro, Murino, Vittorio, Sclaroff, Stan, Zhang, Jianming, Zunino, Andrea   +5 more
core  

Prediction of Lung Cancer Using VGG19 Training Learning

International Research Journal on Advanced Engineering and Management (IRJAEM)
The critical need for accurate prediction of lung cancer, employing artificial intelligence on CT scan images to mitigate the high mortality rate associated with this disease. Deep learning, particularly CNNs, emerges as a powerful tool for achieving superior prediction accuracy compared to traditional machine learning methods.
null Dr. V. Sesha Bhargavi, null Rida Fatima Khan   +1 more
openaire   +1 more source

Recognizing Daily Activities of Children with Autism Spectrum Disorder Using Convolutional Neural Network Based on Image Enhancement

Cybernetics and Information Technologies
Independence for individuals with disabilities, Children with Autism Spectrum Disorder (ASD), need skills to perform daily activities. This study focuses on recognizing the daily activities of children with ASD using a Convolutional Neural Network (CNN ...
Werdiningsih Indah, Puspitasari Ira, Hendradi Rimuljo   +2 more
doaj   +1 more source

Under Water Image Enhancement using Custom VGG19

International Journal of Intelligent Systems and Applications in Engineering
This research introduces an innovative approach to underwater image processing through the use of a modified VGG-19 architecture, renowned for its exceptional image processing capabilities using Variational Bayesian-based Robust Adaptive Filtering (VBRAF).
openaire   +1 more source

Syncretic Grad-CAM Integrated ViT-CNN Hybrids with Inherent Explainability for Early Thyroid Cancer Diagnosis from Ultrasound. [PDF]

Diagnostics (Basel)
Alhafdhi AY, Abosamra G, Alshareef AM.
europepmc   +1 more source

Enhancing age and gender verification in OTT accounts using deep learning techniques. [PDF]

Front Artif Intell
Sanjay M, Manoj P, Graceline Jasmine S, Sriganth R, Febin Daya JL, Russel B.   +5 more
europepmc   +1 more source

Deep learning-based approach for differential diagnosis of odontogenic cysts from histopathological images. [PDF]

Med Oral Patol Oral Cir Bucal
Torul D, Bayrakdar IS, Bozkurt MH, Erdem H, Akcay-Celik M, Ersan-Erdem B, Salman FG.   +6 more
europepmc   +1 more source

Using transfer learning approaches to predict RNA-Seq gene expression data for cancer classification. [PDF]

Front Artif Intell
Bangyal WH, Ashraf A, Ul-Qayyum Z, Alazmi M, Alfayez AA.   +4 more
europepmc   +1 more source