Rimjhim Padam Singh
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View article: A Residual Network and Bi-directional LSTM based Hybrid Approach to Remote Sensing Image Captioning
A Residual Network and Bi-directional LSTM based Hybrid Approach to Remote Sensing Image Captioning Open
View article: Small Waste Detection on Land Using fine-tuned YOLOv9 in Unmanned Aerial Vehicle Images
Small Waste Detection on Land Using fine-tuned YOLOv9 in Unmanned Aerial Vehicle Images Open
View article: UNet-VT: Integrating U-Net and Vision Transformers for Enhancing Brain Tumor Segmentation in MRI scans
UNet-VT: Integrating U-Net and Vision Transformers for Enhancing Brain Tumor Segmentation in MRI scans Open
View article: Enhanced Small Object Detection in Remotely Sensed Images using Hybrid ResNet50 and Feature Pyramid Network
Enhanced Small Object Detection in Remotely Sensed Images using Hybrid ResNet50 and Feature Pyramid Network Open
View article: Landslide Detection in Satellite Images using InceptionU-Net and Convolutional Block Attention Module
Landslide Detection in Satellite Images using InceptionU-Net and Convolutional Block Attention Module Open
View article: Time Series Forecasting for COVID-19 Confirmed Cases Using Transformer Based Stacked LSTM Model
Time Series Forecasting for COVID-19 Confirmed Cases Using Transformer Based Stacked LSTM Model Open
View article: An Ensemble Approach using Self-attention based MobileNetV2 for SAR classification
An Ensemble Approach using Self-attention based MobileNetV2 for SAR classification Open
The Synthetic Aperture Radar (SAR) image classification has become an essential task in numerous applications. Despite its significance, SAR image classification remains challenging due to the inherent complexity and speckle noise characte…
View article: Gradient Boosting classifier performance evaluation using Generative Adversarial Networks
Gradient Boosting classifier performance evaluation using Generative Adversarial Networks Open
Increasing amount of cyber-attacks in past few years have necessitated the development of automatic threat detection systems for ensuring network and data security. Such automated threat detection models for handling cyber threats are subj…
View article: Fine-Tuned T5 For Auto-Grading Of Quadratic Equation Problems
Fine-Tuned T5 For Auto-Grading Of Quadratic Equation Problems Open
Assessments constitute a fundamental and inevitable component of any educational journey. Manual effort required for the evaluation of these assessments is very high. Automation of the evaluation process and grading helps in making the rev…
View article: Evaluating the Impact of Text Data Augmentation on Text Classification Tasks using DistilBERT
Evaluating the Impact of Text Data Augmentation on Text Classification Tasks using DistilBERT Open
Data augmentation entails artificially expanding the dataset's size by applying various transformations to the existing raw data. Enhancing the quality and quantity of the datasets with varying sizes by employing varieddata augmentation te…
View article: Automated Cervical Cytology Image Cell Segmentation Using Enhanced MultiResUNet With DCT and Spectral Domain Attention Mechanisms
Automated Cervical Cytology Image Cell Segmentation Using Enhanced MultiResUNet With DCT and Spectral Domain Attention Mechanisms Open
Cervical cancer, the most pervasive malignancy among women world-wide has a prolonged latent period necessitating early diagnosis with appropriate treatment for significantly increasing the survival rate and life expectancy. Screening cyto…
View article: Sparse representation for face recognition: A review paper
Sparse representation for face recognition: A review paper Open
With the increasing use of surveillance cameras, face recognition is being studied by many researchers for security purposes. Although high accuracy has been achieved for frontal faces, the existing methods have shown poor performance for …
View article: Compute-Extensive Background Subtraction for Efficient Ghost Suppression
Compute-Extensive Background Subtraction for Efficient Ghost Suppression Open
Efficient background modelling has always been an active area of research due to its immense importance as a preliminary step in various machine-vision applications. Several techniques have been proposed to date that strive to achieve high…
View article: Classification and Novel Class Detection in Data Streams Using Strings
Classification and Novel Class Detection in Data Streams Using Strings Open
Data streams are continuous and always keep evolving in nature.Because of these reasons it becomes difficult to handle such data with simple and static strategies.Data stream poses four main challenges to researchers.These are infinite len…