Asifullah Khan | DeepAI

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Featured Co-authors

Saddam Hussain Khan
14 publications
Muhammad Ali
11 publications
Tauseef Jamal
9 publications
Anabia Sohail
9 publications
Aqsa Saeed Qureshi
7 publications
Abdul Basit
7 publications
Abdul Rehman
6 publications
Muhammad Abbas
6 publications
Omair Shafiq
4 publications
Muhammad Asam
4 publications
Maryam Qamar
4 publications

∙ 05/17/2023

A survey of the Vision Transformers and its CNN-Transformer based Variants

Vision transformers have recently become popular as a possible alternati...

0 Asifullah Khan, et al. ∙

∙ 05/16/2023

CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images

Transformers, due to their ability to learn long range dependencies, hav...

0 Momina Liaqat Ali, et al. ∙

∙ 05/15/2023

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation

Convolutional neural networks have made significant strides in medical i...

0 Abdul Rehman, et al. ∙

∙ 02/18/2023

Deep Neural Networks based Meta-Learning for Network Intrusion Detection

Designing an intrusion detection system is difficult as network traffic ...

0 Anabia Sohail, et al. ∙

∙ 06/28/2022

Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing

Deep Reinforcement Learning (DRL) uses diverse, unstructured data and ma...

0 Anum Mushtaq, et al. ∙

∙ 02/13/2022

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoi...

14 Asifullah Khan, et al. ∙

∙ 02/13/2022

Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles

Autonomous modeling of artificial swarms is necessary because manual cre...

6 Suleman Qamar, et al. ∙

∙ 02/08/2022

IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN

Interaction between devices, people, and the Internet has given birth to...

0 Muhammad Asam, et al. ∙

∙ 01/14/2022

A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI

Brain tumors analysis is important in timely diagnosis and effective tre...

10 Mirza Mumtaz Zahoor, et al. ∙

∙ 08/26/2021

Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder

Automatic segmentation of shoulder muscle MRI is challenging due to the ...

26 Saddam Hussain Khan, et al. ∙

∙ 07/08/2021

Malware Classification Using Deep Boosted Learning

Malicious activities in cyberspace have gone further than simply hacking...

69 Muhammad Asam, et al. ∙

∙ 12/08/2020

COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN

COVID-19 is a highly contagious respiratory infection that has affected ...

18 Saddam Hussain Khan, et al. ∙

∙ 10/16/2020

Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks

Higgs boson is a fundamental particle, and the classification of Higgs s...

0 Muhammad Abbas, et al. ∙

∙ 09/16/2020

Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks

COVID-19 is a global health problem. Consequently, early detection and a...

1 Saddam Hussain Khan, et al. ∙

∙ 03/17/2020

Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images

Empirical evaluation of breast tissue biopsies for mitotic nuclei detect...

0 Anabia Sohail, et al. ∙

∙ 02/28/2020

Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture

Accurate and reliable prediction of wind speed is a challenging task, be...

0 Aqsa Saeed Qureshi, et al. ∙

∙ 10/24/2019

Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique

In case of behavior analysis of a malware, categorization of malicious f...

1 Muhammad Furqan Rafique, et al. ∙

∙ 10/01/2019

Ransomware Analysis using Feature Engineering and Deep Neural Networks

Detection and Analysis of a potential malware specifically, used for ran...

0 Arslan Ashraf, et al. ∙

∙ 01/18/2019

A Recent Survey on the Applications of Genetic Programming in Image Processing

During the last two decades, Genetic Programming (GP) has been largely u...

0 Asifullah Khan, et al. ∙

∙ 01/18/2019

Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry

A churn prediction system guides telecom service providers to reduce rev...

4 Uzair Ahmed, et al. ∙

∙ 01/17/2019

A Survey of the Recent Architectures of Deep Convolutional Neural Networks

Deep Convolutional Neural Networks (CNNs) are a special type of Neural N...

1 Asifullah Khan, et al. ∙

∙ 10/30/2018

Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains

Transfer Learning (TL) in Deep Neural Networks is gaining importance bec...

22 Aqsa Saeed Qureshi, et al. ∙

∙ 07/31/2018

Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power

Wind energy forecasting helps to manage power production, and hence, red...

6 Asifullah Khan, et al. ∙

∙ 04/23/2018

A New Channel Boosted Convolution Neural Network using Transfer Learning

We present a novel architectural enhancement of Channel Boosting in deep...

0 Asifullah Khan, et al. ∙

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