Naresh Kumar Garg

16 papers C 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Environmental sound classification using convolutional recurrent neural network and data augmentation. Multim. Tools Appl. Anam Bansal, Naresh Kumar Garg
2024	J	`jnl`	Adaptive highly secure and imperceptible video steganography for medical images via deep convolutional neural network. Int. J. Inf. Comput. Secur. Sahil Gupta, Naresh Kumar Garg
2024	J	`jnl`	Robust technique for environmental sound classification using convolutional recurrent neural network. Multim. Tools Appl. Anam Bansal, Naresh Kumar Garg
2024	J	`jnl`	VGG16: Offline handwritten devanagari word recognition using transfer learning. Multim. Tools Appl. Sukhjinder Singh, Naresh Kumar Garg, Munish Kumar
2023	J	`jnl`	Data hiding in the optimal keyframes using circular shifting and mutation operations for improvement in imperceptibility. Int. J. Inf. Comput. Secur. Sahil Gupta, Naresh Kumar Garg
2023	J	`jnl`	Feature extraction and classification techniques for handwritten Devanagari text recognition: a survey. Multim. Tools Appl. Sukhjinder Singh, Naresh Kumar Garg, Munish Kumar
2023	J	`jnl`	Hybrid grasshopper and ant lion algorithms to improve imperceptibility, robustness, and convergence rate for the video steganography. Int. J. Comput. Sci. Eng. Sahil Gupta, Naresh Kumar Garg
2023	J	`jnl`	On the performance analysis of various features and classifiers for handwritten devanagari word recognition. Neural Comput. Appl. Sukhjinder Singh, Naresh Kumar Garg, Munish Kumar
2023	J	`jnl`	Revolutionize AI Trading Bots with AutoML-Based Multi-timeframe Bitcoin Price Prediction. SN Comput. Sci. Surinder Singh Khurana, Parvinder Singh, Naresh Kumar Garg
2022	J	`jnl`	Environmental Sound Classification: A descriptive review of the literature. Intell. Syst. Appl. Anam Bansal, Naresh Kumar Garg
2020	J	`jnl`	Content-based image retrieval system using ORB and SIFT features. Neural Comput. Appl. Payal Chhabra, Naresh Kumar Garg, Munish Kumar
2018	J	`jnl`	An efficient content based image retrieval system using BayesNet and K-NN. Multim. Tools Appl. Munish Kumar, Payal Chhabra, Naresh Kumar Garg
2018	J	`jnl`	Underwater image enhancement using blending of CLAHE and percentile methodologies. Multim. Tools Appl. Diksha Garg, Naresh Kumar Garg, Munish Kumar
2015	J	`jnl`	Recognition of Handwritten Hindi Text Using Middle Region of the Words. Int. J. Softw. Innov. Naresh Kumar Garg, Lakhwinder Kaur, Manish Kumar Jindal
2015	C	`conf`	Recognition of Offline Handwritten Hindi text using middle zone of the words. ICIS Naresh Kumar Garg, Lakhwinder Kaur, Manish Jndal
2010	—	`conf`	A New Method for Line Segmentation of Handwritten Hindi Text. ITNG Naresh Kumar Garg, Lakhwinder Kaur, Manish Kumar Jindal

2025 Best paper conf

Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski