411 citations · 675 across the 10 of their papers we have counts for
10 papers
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things
Abhishek Verma, Virender Ranga
IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is the standard network layer protocol for achieving efficient routing in IPv6 over Low-Power Wireless Personal Area Ne…
Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review
Abhishek Verma, Virender Ranga
Internet of Things (IoT) is one of the fastest emerging networking paradigms enabling a large number of applications for the benefit of mankind. Advancements in embedded system tec…
Machine Learning Based Intrusion Detection Systems for IoT Applications
Abhishek Verma, Virender Ranga
Internet of Things (IoT) and its applications are the most popular research areas at present. The characteristics of IoT on one side make it easily applicable to real-life applicat…
CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis
Abhishek Verma, Virender Ranga
The IPv6 routing protocol for low-power and lossy networks (RPL) is the standard routing protocol for IPv6 based low-power wireless personal area networks (6LoWPANs). In RPL protoc…
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications
Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara +2
As much as data science is playing a pivotal role everywhere, healthcare also finds it prominent application. Breast Cancer is the top rated type of cancer amongst women; which too…
Learning to Clean: A GAN Perspective
Monika Sharma, Abhishek Verma, Lovekesh Vig
In the big data era, the impetus to digitize the vast reservoirs of data trapped in unstructured scanned documents such as invoices, bank documents and courier receipts has gained…
Residual-CNDS for Grand Challenge Scene Dataset
Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer +1
Increasing depth of convolutional neural networks (CNNs) is a highly promising method of increasing the accuracy of the (CNNs). Increased CNN depth will also result in increased la…
The Compressed Model of Residual CNDS
Hussam Qassim, David Feinzimer, Abhishek Verma
Convolutional neural networks have achieved a great success in the recent years. Although, the way to maximize the performance of the convolutional neural networks still in the beg…
Residual Squeeze VGG16
Hussam Qassim, David Feinzimer, Abhishek Verma
Deep learning has given way to a new era of machine learning, apart from computer vision. Convolutional neural networks have been implemented in image classification, segmentation…
Residual CNDS
Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma
Convolutional Neural networks nowadays are of tremendous importance for any image classification system. One of the most investigated methods to increase the accuracy of CNN is by…