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Rimjhim Padam Singh

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2020 – today

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2026
[c30]
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Likhit Yammanuru, Nikhil Tom Jose, Rimjhim Padam Singh:
Leveraging Small-Object Detection in Satellite Imagery Using Dual Attention-Augmented Single-Stage CNN Model. ICAA 2026: 326-337
2025
[c29]
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N. Rayvanth, S. Jaya Amruth, E. Suryaa, Resmi S, Rimjhim Padam Singh:
DeepUIR-Net: Underwater Image Restoration Using Residual-UNet with Optimized Efficient Channel Attention Network Integration. ICAA 2025: 117-129
[c28]
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Talluri Harshitha, Tanya Simhadri, Thadakuluru Jaswanthi, N. Rayvanth, Rimjhim Padam Singh:
Deepfake Image Detection Using Light-Weight Attention Integrated MobileNetV3 Model. ICAA 2025: 130-142
[c27]
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Nallamilli Eswar Venkata Reddiar, Pilla Veera Satya Sai Vikranth, Teerdhala Kumar, Thota Siddartha, N. Rayvanth, Rimjhim Padam Singh:
Leveraging EfficientNetB4 Model with Multi-head Attentions for Maize Leaf Disease Detection. ICAA 2025: 277-288
2024
[j7]
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Resmi S, Rimjhim Padam Singh, Kannappan Palaniappan:
Automated Cervical Cytology Image Cell Segmentation Using Enhanced MultiResUNet With DCT and Spectral Domain Attention Mechanisms. IEEE Access 12: 189387-189408 (2024)
[j6]
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Sreyas Ramesh, B. N. Sukanth, Sathyavarapu Sri Jaswanth, Rimjhim Padam Singh:
Enhancing Secure Data Transmission Through Deep Learning-Based Image Steganography and Super-Resolution Generative Adversarial Networks. SN Comput. Sci. 5(8): 1138 (2024)
[j5]
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Rimjhim Padam Singh, Nichenametla Hima Sree, Koti Leela Sai Praneeth Reddy, Kandukuri Jashwanth:
Convergence of Deep Learning and Forensic Methodologies Using Self-attention Integrated EfficientNet Model for Deep Fake Detection. SN Comput. Sci. 5(8): 1139 (2024)
[c26]
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Bhupathi Vishva Pavani, Gaddam Thanmai, Rimjhim Padam Singh:
Efficient Detection of Acute Lymphoblastic Leukemia in Microscopic Blood Cell Images. BDA 2024: 3-17
[c25]
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C. Sugunadevi, Rimjhim Padam Singh, B. Uma Maheswari:
Biotic Stress Classification of Pear Leaves Diseases Using Stacking Ensemble Approaches. CoCoLe 2024: 232-245
[c24]
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M. Vasuki, Rimjhim Padam Singh, Susmitha Vekkot, Vivek Venugopal:
Audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics. CoCoLe 2024: 275-289
[c23]
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N. Rayvanth, S. Shreya Shree, Venkata Hemant Kumar Reddy Challa, Vishwash Sharma, Rimjhim Padam Singh:
Decentralized Health: Federated Deep Learning for Cervical Cytology Image Segmentation. CoCoLe 2024: 326-338
[c22]
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Kosaraju Sai Chethan, Vadlamudi Lokesh, Kunta Vignaj Reddy, Rimjhim Padam Singh, Smita Srivastava:
Enhanced Ship Classification in SAR Imagery using Fine-tuned DenseNet and Self-attention. ICCCNT 2024: 1-7
[c21]
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Chava Sriya Chowdary, Dovala Ruthwik, Kancharla Nititsh Sai, Rimjhim Padam Singh:
Unleashing power of Vision Transformers for disease prediction in Chest X ray images. ICCCNT 2024: 1-7
[c20]
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B. Saranya Devi, Deepa Gupta, Rimjhim Padam Singh:
Yolo-based Deep Learning Techniques for Identifying Floating Bottles in Inland Water: A Comprehensive Analysis. ICCCNT 2024: 1-6
[c19]
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M. Kalyan, P. Rama Krishna Raju, N. Ravi Kiran, L. Kullayi Swamy Reddy, Rimjhim Padam Singh:
Automated Math Equation Recognition and Problem Solving using Texify and LLMs. ICCCNT 2024: 1-7
[c18]
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Anuj Kumar, Deepa Gupta, Rimjhim Padam Singh:
Visual Defect Identification and Prediction of Remaining Useful Lifefor Automobile Components. ICCCNT 2024: 1-7
[c17]
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Anuj Kumar, Rimjhim Padam Singh:
Application of Generative Adversarial Network for Data Augmentation in Diabetic Retinopathy. ICCCNT 2024: 1-7
[c16]
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Nishitha U, V. Lokesh, Tata Kaushik, Rimjhim Padam Singh:
Vehicle Detection in Unmanned Aerial Imagery Through Advance You Only Look Once Architectures. ICCCNT 2024: 1-6
[c15]
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Sreyas Ramesh, B. N. Sukanth, Sathyavarapu Sri Jaswanth, Rimjhim Padam Singh:
Preserving Data Integrity in Image Encryption: Comparing Deep Learning Models and integrating Gaussian Noise and Chaotic Baker Map. ICCCNT 2024: 1-7
[c14]
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N. S. Rupak, N. Rayvanth, Pulipati Kushank, Rimjhim Padam Singh:
An Investigation into YOLO-v8 Model Optimization for Small Object Detection in UAVs using Attention Mechanism. ICCCNT 2024: 1-7
[c13]
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Thota Siddartha, Nallamilli Eswar Venkata Reddiar, Pilla Veera Satya Sai Vikranth, Teerdhala Kumar, Rimjhim Padam Singh, Priyanka Kumar:
Paddy Leaf Disease Detection Using Fine-tuned EfficientNetB4 Convolutional Neural Network. ICCCNT 2024: 1-6
[c12]
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Tummala Varshith, Thanush S. Koneri, Tetali Syam Kumar Reddy, Rimjhim Padam Singh:
An Ensemble Approach to Tuberculosis Prediction using Shenzhen and Montgomery Datasets. ICCCNT 2024: 1-7
[c11]
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Sri Naga Jathin Penumadi, Vaishakh Nambiar, G. S. Vignesh, Rimjhim Padam Singh, Sneha Kanchan:
Time Series Forecasting for COVID-19 Confirmed Cases Using Transformer Based Stacked LSTM Model. ICCCSP 2024: 29-41
2023
[c10]
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Resmi S, Tripty Singh, Rimjhim Padam Singh, Priyanka Kumar:
Skull Stripping in Magnetic Resonance Imaging of Brain Using Semantic Segmentation. ICCCNT 2023: 1-7
[c9]
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T. Sai Vasista, Rimjhim Padam Singh, Priyanka Kumar:
Advancing Healthcare: Unleashing the Potential of Cryptography, Blockchain, and Machine Learning. ICCCNT 2023: 1-6
[c8]
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Aarathi Rajagopalan Nair, Rimjhim Padam Singh, Deepa Gupta, Priyanka Kumar:
Evaluating the Impact of Text Data Augmentation on Text Classification Tasks using DistilBERT. ICMLDE 2023: 102-111
[c7]
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Roshni M. Balakrishnan, Peeta Basa Pati, Rimjhim Padam Singh, Santhanalakshmi S, Priyanka Kumar:
Fine-Tuned T5 For Auto-Grading Of Quadratic Equation Problems. ICMLDE 2023: 2178-2186
[c6]
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P. Lavanya, Rimjhim Padam Singh, U. Kumaran, Priyanka Kumar:
Gradient Boosting classifier performance evaluation using Generative Adversarial Networks. ICMLDE 2023: 3016-3024
[c5]
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Anjali K. S., Rimjhim Padam Singh, Manoj Kumar Panda, Kannappan Palaniappan:
An Ensemble Approach using Self-attention based MobileNetV2 for SAR classification. ICMLDE 2023: 3207-3216
[c4]
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Resmi S, Rimjhim Padam Singh, Kannappan Palaniappan:
Automatic Skull Shape Completion of Defective Skulls Using Transformers for Cranial Implant Design. ICMLDE 2023: 3305-3314
2021
[j4]
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  - journals/iet-ipr/MadarkarSS21
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Jitendra Madarkar, Poonam Sharma, Rimjhim Padam Singh:
Sparse representation for face recognition: A review paper. IET Image Process. 15(9): 1825-1844 (2021)
[j3]
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Rimjhim Padam Singh, Poonam Sharma:
Instance-vote-based motion detection using spatially extended hybrid feature space. Vis. Comput. 37(6): 1527-1543 (2021)
2020
[j2]
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Rimjhim Padam Singh, Poonam Sharma:
A Light-Weight Change Detection Method Using YCbCr-Based Texture Consensus Model. Int. J. Pattern Recognit. Artif. Intell. 34(9): 2050023:1-2050023:32 (2020)

2010 – 2019

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2019
[j1]
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Rimjhim Padam Singh, Poonam Sharma, Jitendra Madarkar:
Compute-Extensive Background Subtraction for Efficient Ghost Suppression. IEEE Access 7: 130180-130196 (2019)
[c3]
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Rimjhim Padam Singh, Poonam Sharma:
Improving Change Detection Using Centre-Symmetric Local Binary Patterns. PReMI (2) 2019: 507-514
2018
[c2]
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  - conf/socpros/MadarkarSS18
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Jitendra Madarkar, Poonam Sharma, Rimjhim Padam Singh:
Improved Performance and Execution Time of Face Recognition Using MRSRC. SocProS (1) 2018: 597-607
[c1]
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Rimjhim Padam Singh, Poonam Sharma, Jitendra Madarkar:
Motion Detection Using a Hybrid Texture-Based Approach. SocProS (1) 2018: 609-620

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