255 citations · 1.2k across the 18 of their papers we have counts for
18 papers
Impact of the composition of feature extraction and class sampling in medicare fraud detection
Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
With healthcare being critical aspect, health insurance has become an important scheme in minimizing medical expenses. Following this, the healthcare industry has seen a significan…
Anomaly detection in surveillance videos using transformer based attention model
Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Surveillance footage can catch a wide range of realistic anomalies. This research suggests using a weakly supervised strategy to avoid annotating anomalous segments in training vid…
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn, Sonali Agarwal
Deep learning has brought the most profound contribution towards biomedical image segmentation to automate the process of delineation in medical imaging. To accomplish such task, t…
Impact of Attention on Adversarial Robustness of Image Classification Models
Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Adversarial attacks against deep learning models have gained significant attention and recent works have proposed explanations for the existence of adversarial examples and techniq…
White blood cell subtype detection and classification
Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra +3
Machine learning has endless applications in the health care industry. White blood cell classification is one of the interesting and promising area of research. The classification…
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
Narinder Singh Punn, Sonali Agarwal
The advancements in deep learning technologies have produced immense contributions to biomedical image analysis applications. With breast cancer being the common deadliest disease…
Machine learning equipped web based disease prediction and recommender system
Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Worldwide, several cases go undiagnosed due to poor healthcare support in remote areas. In this context, a centralized system is needed for effective monitoring and analysis of the…
BERT-Based Sentiment Analysis: A Software Engineering Perspective
Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Sentiment analysis can provide a suitable lead for the tools used in software engineering along with the API recommendation systems and relevant libraries to be used. In this conte…
MAG-Net: Multi-task attention guided network for brain tumor segmentation and classification
Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Brain tumor is the most common and deadliest disease that can be found in all age groups. Generally, MRI modality is adopted for identifying and diagnosing tumors by the radiologis…
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn, Sonali Agarwal
With the advent of advancements in deep learning approaches, such as deep convolution neural network, residual neural network, adversarial network; U-Net architectures are most wid…
Hate speech detection using static BERT embeddings
Gaurav Rajput, Narinder Singh punn, Sanjay Kumar Sonbhadra +1
With increasing popularity of social media platforms hate speech is emerging as a major concern, where it expresses abusive speech that targets specific group characteristics, such…
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
Narinder Singh Punn, Sonali Agarwal
The pandemic of novel SARS-CoV-2 also known as COVID-19 has been spreading worldwide, causing rampant loss of lives. Medical imaging such as CT, X-ray, etc., plays a significant ro…
Face Mask Detection using Transfer Learning of InceptionV3
G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
The world is facing a huge health crisis due to the rapid transmission of coronavirus (COVID-19). Several guidelines were issued by the World Health Organization (WHO) for protecti…
Fruit classification using deep feature maps in the presence of deceptive similar classes
Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Autonomous detection and classification of objects are admired area of research in many industrial applications. Though, humans can distinguish objects with high multi-granular sim…
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning
Uppala Sumanth, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
With the growing phase of artificial intelligence and autonomous learning, the self-driving car is one of the promising area of research and emerging as a center of focus for autom…
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra +4
The unprecedented outbreak of the novel coronavirus (COVID-19), during early December 2019 in Wuhan, China, has quickly evolved into a global pandemic, became a matter of grave con…
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal +1
The rampant coronavirus disease 2019 (COVID-19) has brought global crisis with its deadly spread to more than 180 countries, and about 3,519,901 confirmed cases along with 247,630…
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn, Sonali Agarwal
The novel coronavirus 2019 (COVID-19) is a respiratory syndrome that resembles pneumonia. The current diagnostic procedure of COVID-19 follows reverse-transcriptase polymerase chai…