Mohit Agarwal - researchr alias

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Viewing Publication 1 - 47 from 47

2024

An encryption approach to improve the security and performance of data by integrating AES with a modified OTP techniqueShikha Gupta, Satbir Jain, Mohit Agarwal, Nalin Nanda. ijaip, 27(2):129-149, 2024. [doi]

2023

Development of a compressed FCN architecture for semantic segmentation using Particle Swarm OptimizationMohit Agarwal, Suneet K. Gupta 0001, K. K. Biswas. nca, 35(16):11833-11846, June 2023. [doi]

Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network modelMohit Agarwal, Suneet K. Gupta 0001, K. K. Biswas. mlc, 14(7):2367-2383, July 2023. [doi]

MEMER - Multimodal Encoder for Multi-signal Early-stage RecommendationsMohit Agarwal, Srijan Saket, Rishabh Mehrotra. WWW 2023: 773-777 [doi]

CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things EnvironmentsJoseph Bamidele Awotunde, Ranjit Panigrahi, Mohit Agarwal, Biswajit Brahma, Akash Kumar Bhoi. scctt 2023: 74-83 [doi]

Smart Cities Development using Blockchain Technology in India: A Critical AnalysisNitesh Rohilla, Sanjay Singh, Mohit Agarwal. scctt 2023: 36-53 [doi]

2022

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri. cbm, 146:105571, 2022. [doi]

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer dataSiva Skandha Sanagala, Mohit Agarwal, Kumar Utkarsh, Suneet K. Gupta 0001, Vijaya Kumar Koppula, Jasjit S. Suri. nca, 34(23):20915-20937, 2022. [doi]

Optimized Dual Fire Attention Network and Medium-Scale Fire Classification BenchmarkHikmat Yar, Tanveer Hussain, Mohit Agarwal, Zulfiqar Ahmad Khan, Suneet K. Gupta 0001, Sung Wook Baik. TIP, 31:6331-6343, 2022. [doi]

2021

Manifestation of Flexible p-i-n Solar Cells Fabricated Using HWCVD in WSN ApplicationMohit Agarwal, Amit Munjal, Nilesh Wadibhasme, Rajiv Dusane. wpc, 120(4):3057-3069, 2021. [doi]

Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer applicationMohit Agarwal, Luca Saba, Suneet Kr. Gupta, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Aditya M. Sharma, Vijay Viswanathan, George D. Kitas, Andrew Nicolaides, Jasjit S. Suri. mbec, 59(3):511-533, 2021. [doi]

A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plantMohit Agarwal, Suneet Kr. Gupta, K. K. Biswas. suscom, 30:100473, 2021. [doi]

A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based ApproachMohit Agarwal, Suneet Kr. Gupta, K. K. Biswas. pakdd 2021: 272-284 [doi]

Plant Leaf Disease Segmentation Using Compressed UNet ArchitectureMohit Agarwal, Suneet Kr. Gupta, K. K. Biswas. pakdd 2021: 9-14 [doi]

A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian CohortMohit Agarwal, Luca Saba, Suneet Kr. Gupta, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Pietro Danna, Ayman El-Baz, Subbaram Naidu, Jasjit S. Suri. jms, 45(3):28, 2021. [doi]

2020

Development of Efficient CNN model for Tomato crop disease identificationMohit Agarwal, Suneet Kr. Gupta, K. K. Biswas. suscom, 28:100407, 2020. [doi]

Human-in-the-loop RL with an EEG wearable headset: on effective use of brainwaves to accelerate learningMohit Agarwal, Shyam Krishnan Venkateswaran, Raghupathy Sivakumar. mobisys 2020: 25-30 [doi]

Charge for a whole day: Extending Battery Life for BCI Wearables using a Lightweight Wake-Up CommandMohit Agarwal, Raghupathy Sivakumar. CHI 2020: 1-14 [doi]

Blink to Get In: Biometric Authentication for Mobile Devices using EEG SignalsEkansh Gupta, Mohit Agarwal, Raghupathy Sivakumar. icc 2020: 1-6 [doi]

WiMove: Toward Infrastructure Mobility in mmWave WiFiYubing Jian, Mohit Agarwal, Shyam Krishnan Venkateswaran, Yuchen Liu, Douglas M. Blough, Raghupathy Sivakumar. mobiwac 2020: 11-20 [doi]

A YouTube Dataset with User-level Usage Data: Baseline Characteristics and Key InsightsShruti Lall, Mohit Agarwal, Raghupathy Sivakumar. icc 2020: 1-7 [doi]

2019

A PSO Algorithm Based Task Scheduling in Cloud ComputingMohit Agarwal, Gur Mauj Saran Srivastava. ijamc-igi, 10(4):1-17, 2019. [doi]

Cerebro: A Wearable Solution to Detect and Track User Preferences using BrainwavesMohit Agarwal, Raghupathy Sivakumar. mobisys 2019: 47-52 [doi]

Blink: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG SignalsMohit Agarwal, Raghupathy Sivakumar. allerton 2019: 1113-1121 [doi]

Triplet Transform Learning for Automated Primate Face RecognitionMohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh 0001, Mayank Vatsa. icip 2019: 3462-3466 [doi]

Bag-Of-Lies: A Multimodal Dataset for Deception DetectionViresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty 0002, Richa Singh 0001, Mayank Vatsa. cvpr 2019: 83-90 [doi]

Poster: Hawkeye - Predictive Positioning of a Ceiling-Mounted Mobile AP in mmWave WLANs for Maximizing Line-of-sightYubing Jian, Mohit Agarwal, Yuchen Liu, Douglas M. Blough, Raghupathy Sivakumar. mobicom 2019: [doi]

Video Summarization using Global Attention with Memory Network and LSTMDhruva Sahrawat, Mohit Agarwal, Sanchit Sinha, Aditya Adhikary, Mansi Agarwal, Rajiv Ratn Shah, Roger Zimmermann. bigmm 2019: 231-236 [doi]

A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s)Siva Skandha Sanagala, Suneet Kr. Gupta, Vijaya Kumar Koppula, Mohit Agarwal. icmla 2019: 1382-1387 [doi]

2018

2017

2015

THINK: Toward Practical General-Purpose Brain-Computer CommunicationMohit Agarwal, Raghupathy Sivakumar. mobicom 2015: 41-45 [doi]

2011

The subspace Gaussian mixture model - A structured model for speech recognitionDaniel Povey, Lukas Burget, Mohit Agarwal, Pinar Akyazi, Kai-Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas. csl, 25(2):404-439, 2011. [doi]

2010

Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture ModelsLukas Burget, Petr Schwarz, Mohit Agarwal, Pinar Akyazi, Kai-Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Samuel Thomas. icassp 2010: 4334-4337 [doi]

A novel estimation of feature-space MLLR for full-covariance modelsArnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar Akyazi, Lukas Burget, Kai-Feng, Ondrej Glembek, Nagendra Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas. icassp 2010: 4310-4313 [doi]

Approaches to automatic lexicon learning with limited training examplesNagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar Akyazi, Lukas Burget, Kai-Feng, Arnab Ghoshal, Ondrej Glembek, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Petr Schwarz. icassp 2010: 5094-5097 [doi]

Subspace Gaussian Mixture Models for speech recognitionDaniel Povey, Lukas Burget, Mohit Agarwal, Pinar Akyazi, Kai-Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas. icassp 2010: 4330-4333 [doi]

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