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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...
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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...
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05/15/2023
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Convolutional neural networks have made significant strides in medical i...
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02/18/2023
Deep Neural Networks based Meta-Learning for Network Intrusion Detection
Designing an intrusion detection system is difficult as network traffic ...
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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...
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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...
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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...
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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...
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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...
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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 ...
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07/08/2021
Malware Classification Using Deep Boosted Learning
Malicious activities in cyberspace have gone further than simply hacking...
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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 ...
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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...
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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...
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03/17/2020
Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images
Empirical evaluation of breast tissue biopsies for mitotic nuclei detect...
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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...
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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...
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10/01/2019
Ransomware Analysis using Feature Engineering and Deep Neural Networks
Detection and Analysis of a potential malware specifically, used for ran...
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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...
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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...
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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...
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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...
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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...
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04/23/2018
