Rimjhim Padam Singh

Orcid: 0000-0002-5632-7980

According to our database1, Rimjhim Padam Singh authored at least 36 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Leveraging EfficientNetB4 Model with Multi-head Attentions for Maize Leaf Disease Detection.
Proceedings of the Applied Algorithms - Second International Conference, 2025

DeepUIR-Net: Underwater Image Restoration Using Residual-UNet with Optimized Efficient Channel Attention Network Integration.
Proceedings of the Applied Algorithms - Second International Conference, 2025

Deepfake Image Detection Using Light-Weight Attention Integrated MobileNetV3 Model.
Proceedings of the Applied Algorithms - Second International Conference, 2025

2024
Convergence of Deep Learning and Forensic Methodologies Using Self-attention Integrated EfficientNet Model for Deep Fake Detection.
SN Comput. Sci., December, 2024

Enhancing Secure Data Transmission Through Deep Learning-Based Image Steganography and Super-Resolution Generative Adversarial Networks.
SN Comput. Sci., December, 2024

Automated Cervical Cytology Image Cell Segmentation Using Enhanced MultiResUNet With DCT and Spectral Domain Attention Mechanisms.
IEEE Access, 2024

Time Series Forecasting for COVID-19 Confirmed Cases Using Transformer Based Stacked LSTM Model.
Proceedings of the Computer, Communication, and Signal Processing. Smart Solutions Towards SDG, 2024

An Ensemble Approach to Tuberculosis Prediction using Shenzhen and Montgomery Datasets.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Paddy Leaf Disease Detection Using Fine-tuned EfficientNetB4 Convolutional Neural Network.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

An Investigation into YOLO-v8 Model Optimization for Small Object Detection in UAVs using Attention Mechanism.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Preserving Data Integrity in Image Encryption: Comparing Deep Learning Models and integrating Gaussian Noise and Chaotic Baker Map.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Vehicle Detection in Unmanned Aerial Imagery Through Advance You Only Look Once Architectures.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Application of Generative Adversarial Network for Data Augmentation in Diabetic Retinopathy.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Visual Defect Identification and Prediction of Remaining Useful Lifefor Automobile Components.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Automated Math Equation Recognition and Problem Solving using Texify and LLMs.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Yolo-based Deep Learning Techniques for Identifying Floating Bottles in Inland Water: A Comprehensive Analysis.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Unleashing power of Vision Transformers for disease prediction in Chest X ray images.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhanced Ship Classification in SAR Imagery using Fine-tuned DenseNet and Self-attention.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics.
Proceedings of the Computing, Communication and Learning - Third International Conference, 2024

Biotic Stress Classification of Pear Leaves Diseases Using Stacking Ensemble Approaches.
Proceedings of the Computing, Communication and Learning - Third International Conference, 2024

Decentralized Health: Federated Deep Learning for Cervical Cytology Image Segmentation.
Proceedings of the Computing, Communication and Learning - Third International Conference, 2024

Efficient Detection of Acute Lymphoblastic Leukemia in Microscopic Blood Cell Images.
Proceedings of the Big Data and Artificial Intelligence - 12th International Conference, 2024

2023
An Ensemble Approach using Self-attention based MobileNetV2 for SAR classification.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Automatic Skull Shape Completion of Defective Skulls Using Transformers for Cranial Implant Design.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Evaluating the Impact of Text Data Augmentation on Text Classification Tasks using DistilBERT.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Gradient Boosting classifier performance evaluation using Generative Adversarial Networks.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Fine-Tuned T5 For Auto-Grading Of Quadratic Equation Problems.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Advancing Healthcare: Unleashing the Potential of Cryptography, Blockchain, and Machine Learning.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Skull Stripping in Magnetic Resonance Imaging of Brain Using Semantic Segmentation.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2021
Instance-vote-based motion detection using spatially extended hybrid feature space.
Vis. Comput., 2021

Sparse representation for face recognition: A review paper.
IET Image Process., 2021

2020
A Light-Weight Change Detection Method Using YCbCr-Based Texture Consensus Model.
Int. J. Pattern Recognit. Artif. Intell., 2020

2019
Compute-Extensive Background Subtraction for Efficient Ghost Suppression.
IEEE Access, 2019

Improving Change Detection Using Centre-Symmetric Local Binary Patterns.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018
Motion Detection Using a Hybrid Texture-Based Approach.
Proceedings of the Soft Computing for Problem Solving, 2018

Improved Performance and Execution Time of Face Recognition Using MRSRC.
Proceedings of the Soft Computing for Problem Solving, 2018


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