research
∙
09/06/2023
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review
Vision transformer-based methods are advancing the field of medical arti...
share
research
∙
07/10/2023
Galerkin-Bernstein Approximations of the System of Time Dependent Nonlinear Parabolic PDEs
The purpose of the research is to find the numerical solutions to the sy...
research
∙
04/07/2023
Leveraging GANs for data scarcity of COVID-19: Beyond the hype
Artificial Intelligence (AI)-based models can help in diagnosing COVID-1...
research
∙
12/04/2022
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
Generative models have been very successful over the years and have rece...
research
∙
11/02/2022
Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models
Generative models are becoming popular for the synthesis of medical imag...
research
∙
10/23/2022
Artificial Intelligence-Based Methods for Fusion of Electronic Health Records and Imaging Data
Healthcare data are inherently multimodal, including electronic health r...
research
∙
09/28/2022
Leveraging machine learning for less developed languages: Progress on Urdu text detection
Text detection in natural scene images has applications for autonomous d...
research
∙
08/19/2022
Feature Selection Enhancement and Feature Space Visualization for Speech-Based Emotion Recognition
Robust speech emotion recognition relies on the quality of the speech fe...
research
∙
06/06/2022
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
Deep learning techniques, particularly convolutional neural networks, ha...
research
∙
06/03/2022
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation
U-Net is a widely adopted neural network in the domain of medical image ...
research
∙
05/15/2022
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review
This review presents a comprehensive study on the role of GANs in addres...
research
∙
09/16/2021
Urdu text in natural scene images: a new dataset and preliminary text detection
Text detection in natural scene images for content analysis is an intere...
research
∙
05/10/2021
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
Food resources face severe damages under extraordinary situations of cat...
research
∙
09/12/2020
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks
Chest X-ray (CXR) is a low-cost medical imaging technique. It is a commo...
research
∙
12/17/2019
Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network
Automatic recognition of Urdu handwritten digits and characters, is a ch...
research
∙
12/13/2019
Seizure Prediction Using Bidirectional LSTM
Approximately, 50 million people in the world are affected by epilepsy. ...
research
∙
07/30/2019
Understanding and Partitioning Mobile Traffic using Internet Activity Records Data -- A Spatiotemporal Approach
The internet activity records (IARs) of a mobile cellular network posses...
research
∙
05/27/2019
An Intelligent Monitoring System of Vehicles on Highway Traffic
Vehicle speed monitoring and management of highways is the critical prob...
research
∙
04/06/2019
Higher Accurate Recognition of Handwritten Pashto Letters through Zoning Feature by using K-Nearest Neighbour and Artificial Neural Network
This paper presents a recognition system for handwritten Pashto letters....
research
∙
10/01/2018
Generative Adversarial Network for Medical Images (MI-GAN)
Deep learning algorithms produces state-of-the-art results for different...
research
∙
08/02/2018
Supervised classification for object identification in urban areas using satellite imagery
This paper presents a useful method to achieve classification in satelli...
research
∙
07/30/2018
