Mohit Agarwal

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 27

Top Topics

Kernel Principal Component Analysis

Artificial Intelligence

Computer Tomography

Top Venues

Comput. Biol. Medicine

Sustain. Comput. Informatics Syst.

Neural Comput. Appl.

Publications

Shikha Gupta, Satbir Jain, Mohit Agarwal, Nalin Nanda
An encryption approach to improve the security and performance of data by integrating AES with a modified OTP technique. Int. J. Adv. Intell. Paradigms 27 (2) (2024)
Joseph Bamidele Awotunde, Ranjit Panigrahi, Mohit Agarwal, Biswajit Brahma, Akash Kumar Bhoi
CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things Environments. SCCTT (2023)
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model. Int. J. Mach. Learn. Cybern. 14 (7) (2023)
Nitesh Rohilla, Sanjay Singh, Mohit Agarwal
Smart Cities Development using Blockchain Technology in India: A Critical Analysis. SCCTT (2023)
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization. Neural Comput. Appl. 35 (16) (2023)
Mohit Agarwal, Srijan Saket, Rishabh Mehrotra
MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations. WWW (Companion Volume) (2023)
Siva Skandha Sanagala, Mohit Agarwal, Kumar Utkarsh, Suneet K. Gupta, Vijaya Kumar Koppula, Jasjit S. Suri
A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. Neural Comput. Appl. 34 (23) (2022)
Hikmat Yar, Tanveer Hussain, Mohit Agarwal, Zulfiqar Ahmad Khan, Suneet K. Gupta, Sung Wook Baik
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark. IEEE Trans. Image Process. 31 (2022)
Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. 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
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 2.0. Comput. Biol. Medicine 146 (2022)
Mohit Agarwal, Amit Munjal, Nilesh Wadibhasme, Rajiv Dusane
Manifestation of Flexible p-i-n Solar Cells Fabricated Using HWCVD in WSN Application. Wirel. Pers. Commun. 120 (4) (2021)
Luca Saba, Mohit Agarwal, Anubhav Patrick, Anudeep Puvvula, Suneet Kr. Gupta, Alessandro Carriero, John R. Laird, George D. Kitas, Amer M. Johri, Antonella Balestrieri, Zeno Falaschi, Alessio Pasche, Vijay Viswanathan, Ayman El-Baz, Iqbal Alam, Abhinav Jain, D. Subbaram Naidu, Ronald Oberleitner, Narendra N. Khanna, Arindam Bit, Mostafa Fatemi, Azra Alizad, Jasjit S. Suri
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. Int. J. Comput. Assist. Radiol. Surg. 16 (3) (2021)
Mohit 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
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 application. Medical Biol. Eng. Comput. 59 (3) (2021)
Jasjit S. Suri, Sushant Agarwal, Suneet Kr. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput. Biol. Medicine 130 (2021)
Mohit Agarwal, Luca Saba, Suneet Kr. Gupta, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Pietro Danna, Ayman El-Baz, D. Subbaram Naidu, Jasjit S. Suri
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 Cohort. J. Medical Syst. 45 (3) (2021)
Mohit Agarwal, Suneet Kr. Gupta, K. K. Biswas
A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach. PAKDD (3) (2021)
Mohit Agarwal, Suneet Kr. Gupta, K. K. Biswas
A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant. Sustain. Comput. Informatics Syst. 30 (2021)
Mohit Agarwal, Suneet Kr. Gupta, K. K. Biswas
Plant Leaf Disease Segmentation Using Compressed UNet Architecture. PAKDD (Workshops) (2021)
Bidisha Samanta, Mohit Agarwal, Niloy Ganguly
Fine-grained Sentiment Controlled Text Generation. CoRR (2020)
Mohit Agarwal, Suneet Kr. Gupta, K. K. Biswas
Development of Efficient CNN model for Tomato crop disease identification. Sustain. Comput. Informatics Syst. 28 (2020)
Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa
Bag-Of-Lies: A Multimodal Dataset for Deception Detection. CVPR Workshops (2019)
Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
Triplet Transform Learning for Automated Primate Face Recognition. ICIP (2019)
Siva Skandha Sanagala, Suneet Kr. Gupta, Vijaya Kumar Koppula, Mohit Agarwal
A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s). ICMLA (2019)
Dhruva Sahrawat, Mohit Agarwal, Sanchit Sinha, Aditya Adhikary, Mansi Agarwal, Rajiv Ratn Shah, Roger Zimmermann
Video Summarization using Global Attention with Memory Network and LSTM. BigMM (2019)
Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand
Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) (2018)
Marco Karrer, Mohit Agarwal, Mina Kamel, Roland Siegwart, Margarita Chli
Collaborative 6DoF Relative Pose Estimation for Two UAVs with Overlapping Fields of View. ICRA (2018)
Onur Ozdemir, Lakshmi Narasimhan Theagarajan, Mohit Agarwal, Thakshila Wimalajeewa, Pramod K. Varshney
An MCMC Approach to Multisensor Linear Modulation Classification. WCNC (2017)
Ashish Mishra, Mohit Agarwal, Abhijit Rameshwar Asati, Kota Solomon Raju
Using graph isomorphism for mapping of data flow applications on reconfigurable computing systems. Microprocess. Microsystems 51 (2017)
Daniel Povey, Lukás 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
The subspace Gaussian mixture model - A structured model for speech recognition. Comput. Speech Lang. 25 (2) (2011)
Lukás 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
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models. ICASSP (2010)
Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar Akyazi, Lukás Burget, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Petr Schwarz
Approaches to automatic lexicon learning with limited training examples. ICASSP (2010)
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar Akyazi, Lukás Burget, Kai Feng, Ondrej Glembek, Nagendra Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas
A novel estimation of feature-space MLLR for full-covariance models. ICASSP (2010)
Daniel Povey, Lukás 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
Subspace Gaussian Mixture Models for speech recognition. ICASSP (2010)
Mohit Agarwal, Abhik Majumdar
Design of a Minimal Signaling Based Bandwidth Brokering Protocol. SMARTNET (2002)
Mohit Agarwal, Anuj Puri
Base station scheduling of requests with fixed deadlines. INFOCOM (2002)
Mohit Agarwal, Gaurav Jain, Santanu Chaudhury
Indexing for local appearance-based recognition of planar objects. Pattern Recognit. Lett. 23 (1-3) (2002)
Mohit Agarwal, Anuj Puri
Optimal buffering policy for downloading music in heterogeneous wireless networks. WCNC (2002)