Items where Author is "Kumar, Dinesh"

Chand, Harshad and Kumar, Dinesh and Bali, Kavitesh (2024) Enhancing Interpretability of Skin Lesion Classification Using Grad-CAM and Weighted Grad-CAM. [Conference Proceedings]

Swamy, Abhishek and Kumar, Dinesh (2024) Phishing Detection Using a Convolutional Neural Network Model on Website URLs. [Conference Proceedings]

Wang, Xiaomeng and Sharma, Dharmendra P. and Kumar, Dinesh (2024) Cognitive Reframing via Large Language Models for Enhanced Linguistic Attributes. [Conference Proceedings]

Wang, Xiaomeng and Sharma, Dharmendra and Kumar, Dinesh (2024) A Review on AI-based Modeling of Empathetic Conversational Response Generation. [Conference Proceedings]

Kumar, Krishan and Chaudhary, Kaylash C. and Kumar, Dinesh (2024) Ensemble Learning Applications in Software Fault Prediction. In: Proceedings of International Joint Conference on Advances in Computational Intelligence. Algorithms for Intelligent Systems . Springer Nature, Singapore, pp. 533-543. ISBN 978-981-97-0179-7

Kumar, Dinesh and Sharma, Dharmendra P. (2023) Feature map argumentation to improve scale invariance in convolutional neural networks. Journal of Artificial Intelligence and Soft Computing Research, 13 (1). pp. 51-74. ISSN 2449-6499

Pipite, Atanas and Lockhart, Peter J. and McLenachan, Patricia A. and Christi, Ketan S. and Kumar, Dinesh and Prasad, Surendra and Subramani, Ramesh (2022) Isolation, antibacterial screening, and identification of bioactive cave dwelling bacteria in Fiji. Frontiers in Microbiology, 13 . NA. ISSN 1664-302X

Sharma, Anuraganand and Kumar, Dinesh (2022) Classification with 2-D Convolutional Neural Networks for breast cancer diagnosi. Scientific Reports, 12 (21857). pp. 1-11. ISSN 2045-2322

Sharma, Anuraganand and Kumar, Dinesh (2022) Classification with 2-D convolutional neural networks for breast cancer diagnosis. Scientific Reports, 12 (21857). NA. ISSN 2045-2322

Kumar, Dinesh and Sharma, Dharmendra P. (2022) Global-first training strategy with Convolutional Neural Networks to Improve Scale Invariance. In: Communications in Computer and Information Science. Springer Nature, Switzerland. ISBN TBC

Sharma, Patrick and Sharma, Adarsh Karan and Kumar, Dinesh and Sharma, Anuraganand (2021) A Strategic Weight Refinement Maneuver for Convolutional Neural Networks. [Conference Proceedings]

Sharma, Patrick and Sharma, Adarsh K. and Kumar, Dinesh and Sharma, Anuraganand (2021) A strategic weight refinement maneuver for convolutional neural networks. [Conference Proceedings]

Kumar, Dinesh and Sharma., Dharmendra (2021) Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks. [Conference Proceedings]

Kumar, Dinesh and Sharma, Dharmendra P. (2020) Deep Learning for Drawing Insights from Patient Data for Diagnosis and Treatment. In: Artificial Intelligence Applications in Healthcare Delivery. Routledge, United Kingdom. ISBN 9780367321512

Alzyadat, Tariq and Praet, Stephan and Chetty, Girija and Goecke, Roland and Kumar, Dinesh and Welvaert, Marijke and Vlahovich, Nicole and Waddington, Gordon (2020) Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network. [Conference Proceedings]

Kumar, Dinesh and Sharma, Dharmendra P. (2020) Multi-modal Information Extraction and Fusion with Convolutional Neural Networks. [Conference Proceedings]

Kumar, Dinesh (2020) Multi-modal information extraction and fusion with convolutional neural networks for classification of scaled images. [Conference Proceedings]

Sharma, Anuraganand and Kumar, Dinesh (2020) Non - image data classification with convolutional neural networks. Nature Portfolio, London.

Kumar, Dinesh and Sharma, Dharmendra P. (2020) Distributed Information Integration in Convolutional Neural Networks. [Conference Proceedings]

Kumar, Dinesh and Sharma, Dharmendra P. and Goecke, Roland (2020) Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks. [Conference Proceedings]

Kumar, Dinesh and Sharma, Dharmendra P. (2019) Enhanced waters 2D muscle model for facial expression generation. [Conference Proceedings]

Kumar, Dinesh and Sharma, Dharmendra P. (2019) Deep Learning in Gene Expression Modeling. In: Handbook of Deep Learning Applications. Smart Innovation, Systems and Technologies, 136 . Springer Nature, Cham, Switzerland, pp. 363-383. ISBN 9783030114794

Dhillon, Ankita and Prasad, Surendra and Kumar, Dinesh (2017) Recent advances and spectroscopic perspectives in fluoride removal. Applied Spectroscopy Reviews, 52 (3). pp. 175-230. ISSN 0570-4928

Kumar, Dinesh and Vanualailai, Jito (2016) Low bandwidth video streaming using FACS, facial expression and animation techniques. [Conference Proceedings]

Khurana, Parul and Thatai, Sheenam and Prasad, Surendra and Soni, Sarvesh K. and Kumar, Dinesh (2016) Ag core–Au shell bimetallic nanocomposites: Gold shell thickness dependent study for SERS enhancement. Microchemical Journal, 124 . pp. 819-823. ISSN 0026-265X

Thatai, Sheenam and Kurana, Parul and Prasad, Surendra and Soni, Sarvesh K. and Kumar, Dinesh (2016) Trace colorimetric detection of Pb2 + using plasmonic gold nanoparticles and silica–gold nanocomposites. Microchemical Journal, 124 . pp. 104-110. ISSN 0026-265X

Kumar, Dinesh (2010) Animating facial expressions with facial action coding system. The University of the South Pacific, Suva, Fiji.

Kumar, Dinesh and Hussein, Imtiyaz (2006) Mathematical Modeling for Facial Expressions using FACS. UNSPECIFIED. (Unpublished)

Kumar, Dinesh and Zhenquan, Li (2006) Implementation of an Adaptive Two-Dimensional Mesh Refinement Method Based on the Law of Mass Conservation. UNSPECIFIED. (Unpublished)