activity
20182020
most citedSemi-Supervised Learning for Cancer Detection of Lymph Node Metastases

22 citations · 22 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CR2020

Network Traffic Analysis based IoT Device Identification

Rajarshi Roy Chowdhury, Sandhya Aneja, Nagender Aneja +1

Device identification is the process of identifying a device on Internet without using its assigned network or other credentials. The sharp rise of usage in Internet of Things (IoT…

cs.CL2020

Neural Machine Translation model for University Email Application

Sandhya Aneja, Siti Nur Afikah Bte Abdul Mazid, Nagender Aneja

Machine translation has many applications such as news translation, email translation, official letter translation etc. Commercial translators, e.g. Google Translation lags in regi…

cs.CV2019

Transfer Learning using CNN for Handwritten Devanagari Character Recognition

Nagender Aneja, Sandhya Aneja

This paper presents an analysis of pre-trained models to recognize handwritten Devanagari alphabets using transfer learning for Deep Convolution Neural Network (DCNN). This researc…

cs.CV201922 cited

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases

Amit Kumar Jaiswal, Ivan Panshin, Dimitrij Shulkin +2

Pathologists find tedious to examine the status of the sentinel lymph node on a large number of pathological scans. The examination process of such lymph node which encompasses met…

cs.NI2019

IoT Device Fingerprint using Deep Learning

Sandhya Aneja, Nagender Aneja, Md Shohidul Islam

Device Fingerprinting (DFP) is the identification of a device without using its network or other assigned identities including IP address, Medium Access Control (MAC) address, or I…

cs.SI2018

Profile-Based Ad Hoc Social Networking Using Wi-Fi Direct on the Top of Android

Nagender Aneja, Sapna Gambhir

Ad-hoc Social Networks have become popular to support novel applications related to location-based mobile services that are of great importance to users and businesses. Unlike trad…