D. Vishwakarma

发表

Convolutional neural networks for crowd behaviour analysis: a survey

Kuldeep Singh, Dinesh Kumar Vishwakarma, Gaurav Tripathi, 2019, The Visual Computer.

Miniaturisation of microstrip patch antenna using an artificial planar magneto-dielectric meta-substrate

D. Vishwakarma, Saurabh Kumar, 2016 .

Unified framework for human activity recognition: An approach using spatial edge distribution and ℜ-transform

Rajiv Kapoor, Dinesh Kumar Vishwakarma, Ashish Dhiman, 2016 .

Gain enhancement of microstrip patch antenna using Sierpinski fractal-shaped EBG

D. Vishwakarma, N. Rao, 2015, International Journal of Microwave and Wireless Technologies.

Beam steered linear array of Cylindrical Dielectric Resonator Antenna

D. Vishwakarma, Soma Das, N. Mishra, 2019, AEU - International Journal of Electronics and Communications.

Miniaturized bent slotted patch antenna over a reactive impedance surface substrate

D. Vishwakarma, Saurabh Kumar, 2015, International Journal of Microwave and Wireless Technologies.

Circularly polarized cylindrical dielectric resonator antenna for the X-band frequency

D. Vishwakarma, Soma Das, N. Mishra, 2017, 2017 IEEE International Conference on Antenna Innovations & Modern Technologies for Ground, Aircraft and Satellite Applications (iAIM).

A compact broadband printed monopole antenna with U-shaped slit and rectangular parasitic patches for multiple applications

D. Vishwakarma, S. Baudha, 2015, International Journal of Microwave and Wireless Technologies.

Miniaturized curved slotted patch antenna over a fractalized EBG ground plane

D. Vishwakarma, Saurabh Kumar, 2016, International Journal of Microwave and Wireless Technologies.

Compact circularly polarized slits-loaded microstrip patch antenna with symmetric-fractal boundary

D. Vishwakarma, Saurabh Kumar, 2016, 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC).

Miniaturization of logarithmic spiral antenna with modified Koch curve

D. Vishwakarma, Chetna Sharma, 2018, Microwave and Optical Technology Letters.

Anti-Diabetic Effect of Aqueous and Ethanolic Extract of Dried Leaves of Phoenix Dactylifera in Alloxan Induced Hyperglycaemia Albino Rat

D. Vishwakarma, D. Patel, Roohi Kesharwani, 2018 .

A literature review and perspectives in deepfakes: generation, detection, and applications

D. Vishwakarma, Deepak Dagar, 2022, International Journal of Multimedia Information Retrieval.

Assessment of Climate Change Impact on Snowmelt Runoff in Himalayan Region

D. Vishwakarma, Alban Kuriqi, A. Elbeltagi, 2021, Sustainability.

COVID-19 outbreaks: Global pandemic disaster (an overview)

S. Mishra, D. Vishwakarma, A. Singh, 2020 .

Application of Finite Difference Time Domain to Calculate the Transmission Coefficient of an Electromagnetic Wave Impinging Perpendicularly on a Dielectric Interface with Modified MURI ABC

D. Vishwakarma, Biswajeet Mukherjee, 2012 .

HISNet: a Human Image Segmentation Network aiding bokeh effect generation

D. Vishwakarma, Shaurya Gupta, 2022, Multimedia Tools and Applications.

Inhibition of Urease from Seeds of Water-melon (Citrullus vulgaris) by Heavy Metal Ions

D. Vishwakarma, O. Prakash, 2001, Journal of Plant Biochemistry and Biotechnology.

Local people strategies in biodiversity conservation and sustainable development

D. Vishwakarma, M. Husain, Jagdeesh Prasad Rathore, 2018 .

Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy

D. Vishwakarma, Arjun Choudhry, Inder Khatri, 2022, ArXiv.

Face Anti-Spoofing by Spatial Fusion of Colour Texture Features and Deep Features

D. Vishwakarma, Arnav Anand, 2020, 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS).

An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning

D. Vishwakarma, Arjun Choudhry, Inder Khatri, 2022, 2211.17108.

Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation

D. Vishwakarma, Arjun Choudhry, Inder Khatri, 2022, ICON.

A comparative study on bio-inspired algorithms for sentiment analysis

D. Vishwakarma, Ashima Yadav, 2020, Cluster Computing.

A deeply coupled ConvNet for human activity recognition using dynamic and RGB images

D. Vishwakarma, Tej Singh, 2020, Neural Computing and Applications.

Depression and Impaired Mental Health Analysis from Social Media Platforms using Predictive Modelling Techniques

D. Vishwakarma, Vaibhav Jain, P. Garg, 2020, 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques

D. Vishwakarma, Pravendra Kumar, Rohitash Kumar, 2021, Theoretical and Applied Climatology.

Modeling of Stage-Discharge Using Back Propagation ANN, ANFIS, and WANN-based Computing Technique

Dinesh Kumar Vishwakarma, Alban Kuriqi, Rawshan Ali, 2021 .

Blind image deblurring via gradient orientation-based clustered coupled sparse dictionaries

Kuldeep Singh, Gurjit Singh Walia, Dinesh Kumar Vishwakarma, 2019, Pattern Analysis and Applications.

Seabuckthorn: A multipurpose shrubs species in Ladakh cold desert

D. Vishwakarma, M. Husain, Jagdeesh Prasad Rathore, 2018 .

COVID-19 and its impact on education, social life and mental health of students: A survey

D. Vishwakarma, Nidhi Singh, Kunal Chaturvedi, 2020, Children and Youth Services Review.

A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles

Dinesh Kumar Vishwakarma, Priyanka Meel, D. Vishwakarma, 2021, Expert Syst. Appl..

Video benchmarks of human action datasets: a review

Tej Singh, Dinesh Kumar Vishwakarma, D. Vishwakarma, 2018, Artificial Intelligence Review.

A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel

Dinesh Kumar Vishwakarma, Chhavi Dhiman, D. Vishwakarma, 2018, The Visual Computer.

A proposed unified framework for the recognition of human activity by exploiting the characteristics of action dynamics

Rajiv Kapoor, Dinesh Kumar Vishwakarma, Ashish Dhiman, 2016, Robotics Auton. Syst..

Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak

D. Vishwakarma, Deepika Varshney, 2022, Neural Computing and Applications.

An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method pdf

Dinesh Kumar Vishwakarma, Deepika Varshney, D. Vishwakarma, 2021, Data & Knowledge Engineering.

A State-of-the-Arts and Prospective in Neural Style Transfer

Dinesh Kumar Vishwakarma, Sagar, D. Vishwakarma, 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

Sentiment analysis using deep learning architectures: a review

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2019, Artificial Intelligence Review.

Applied convolutional neural network framework for tagging healthcare systems in crowd protest environment.

Dinesh Kumar Vishwakarma, Gaurav Tripathi, Kuldeep Singh, 2021, Mathematical biosciences and engineering : MBE.

Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper)

Dinesh Kumar Vishwakarma, Ankit Yadav, D. Vishwakarma, 2020, 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM).

Deep NeuralNet For Violence Detection Using Motion Features From Dynamic Images

Aayush Jain, Dinesh Kumar Vishwakarma, D. Vishwakarma, 2020, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT).

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

Dinesh Kumar Vishwakarma, Priyanka Meel, D. Vishwakarma, 2020, Expert Syst. Appl..

Clickbait in YouTube Prevention, Detection and Analysis of the Bait using Ensemble Learning pdf

Mini Jain, Dinesh Kumar Vishwakarma, Peya Mowar, 2021, ArXiv.

A unified approach for detection of Clickbait videos on YouTube using cognitive evidences

D. Vishwakarma, Deepika Varshney, 2021, Applied Intelligence.

A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis pdf

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2020, ArXiv.

State-of-the-arts Violence Detection using ConvNets

Aayush Jain, Dinesh Kumar Vishwakarma, D. Vishwakarma, 2020, 2020 International Conference on Communication and Signal Processing (ICCSP).

Convolutional neural networks for crowd behaviour analysis: a survey

Gaurav Tripathi, Kuldeep Singh, D. Vishwakarma, 2019, The Visual Computer.

Deception Detection using a Multimodal Stacked Bi-LSTM Model

D. Vishwakarma, Puneet Kumar Sehrawat, Rajat Kumar, 2023, 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA).

A deeply coupled ConvNet for human activity recognition using dynamic and RGB images

Dinesh Kumar Vishwakarma, Tej Singh, D. Vishwakarma, 2020, Neural Computing and Applications.

Deep Learning Framework for Single and Dyadic Human Activity Recognition

Dinesh Kumar Vishwakarma, Tej Singh, Shivam Rustagi, 2019, 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM).

Hoax news-inspector: a real-time prediction of fake news using content resemblance over web search results for authenticating the credibility of news articles

Dinesh Kumar Vishwakarma, Deepika Varshney, D. Vishwakarma, 2020, Journal of Ambient Intelligence and Humanized Computing.

A Language-Independent Speech Sentiment Analysis Using Prosodic Features

D. Vishwakarma, Monil Bansal, Sampriti Yadav, 2021, 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).

Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants

Dinesh Kumar Vishwakarma, Himanshu Aggarwal, D. Vishwakarma, 2016, IEEE Transactions on Cognitive and Developmental Systems.

A review on rumour prediction and veracity assessment in online social network

Dinesh Kumar Vishwakarma, Deepika Varshney, D. Vishwakarma, 2020, Expert Syst. Appl..

Hand gesture recognition using shape and texture evidences in complex background

Dinesh Kumar Vishwakarma, D. Vishwakarma, 2017, 2017 International Conference on Inventive Computing and Informatics (ICICI).

Toxic Speech Detection using Traditional Machine Learning Models and BERT and fastText Embedding with Deep Neural Networks

D. Vishwakarma, Pranav Malik, Aditi Aggrawal, 2021, 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).

A review of state-of-the-art techniques for abnormal human activity recognition

Dinesh Kumar Vishwakarma, Chhavi Dhiman, D. Vishwakarma, 2019, Eng. Appl. Artif. Intell..

A sparse coded composite descriptor for human activity recognition

Gurjit Singh Walia, Dinesh Kumar Vishwakarma, Chhavi Dhiman, 2021, Expert Syst. J. Knowl. Eng..

A deep multimodal network based on bottleneck layer features fusion for action recognition

Dinesh Kumar Vishwakarma, Tej Singh, D. Vishwakarma, 2021, Multimedia Tools and Applications.

View-Invariant Deep Architecture for Human Action Recognition Using Two-Stream Motion and Shape Temporal Dynamics

Dinesh Kumar Vishwakarma, Chhavi Dhiman, D. Vishwakarma, 2020, IEEE Transactions on Image Processing.

A visual cognizance based multi-resolution descriptor for human action recognition using key pose

Tej Singh, Dinesh Kumar Vishwakarma, D. Vishwakarma, 2019, AEU - International Journal of Electronics and Communications.

Video benchmarks of human action datasets: a review

D. Vishwakarma, Tej Singh, 2018, Artificial Intelligence Review.

A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2020, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

Crowd anomaly detection with LSTMs using optical features and domain knowledge for improved inferring

Dinesh Kumar Vishwakarma, Mohammad Sabih, D. Vishwakarma, 2021, The Visual Computer.

VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing

D. Vishwakarma, Ananya Pandey, 2023, Knowl. Based Syst..

Human Activity Recognition in Video Benchmarks: A Survey

Tej Singh, Dinesh Kumar Vishwakarma, D. Vishwakarma, 2018, Lecture Notes in Electrical Engineering.

Human Activity Recognition Based on Spatial Distribution of Gradients at Sublevels of Average Energy Silhouette Images

Kuldeep Singh, Dinesh Kumar Vishwakarma, Kuldeep Singh, 2017, IEEE Transactions on Cognitive and Developmental Systems.

Hybrid classifier based human activity recognition using the silhouette and cells

Rajiv Kapoor, Dinesh Kumar Vishwakarma, Rajiv Kapoor, 2015, Expert Syst. Appl..

Person Re-Identification using Deep Learning Networks: A Systematic Review pdf

Dinesh Kumar Vishwakarma, Ankit Yadav, D. Vishwakarma, 2020, ArXiv.

State-of-the-Arts Person Re-Identification Using Deep Learning

Dinesh Kumar Vishwakarma, Shradha Jaiswal, D. Vishwakarma, 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

A Deep Structure of Person Re-Identification Using Multi-Level Gaussian Models

Dinesh Kumar Vishwakarma, Sakshi Upadhyay, D. Vishwakarma, 2018, IEEE Transactions on Multi-Scale Computing Systems.

Detection and veracity analysis of fake news via scrapping and authenticating the web search

Dinesh Kumar Vishwakarma, Ashima Yadav, Deepika Varshney, 2019, Cognitive Systems Research.

Robust and Generalized DeepFake Detection

D. Vishwakarma, Siddharth Yadav, Sahithi Bommareddy, 2022, 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT).

An efficient interpretation of hand gestures to control smart interactive television

Rajiv Kapoor, Dinesh Kumar Vishwakarma, Rajiv Kapoor, 2017, Int. J. Comput. Vis. Robotics.

Abnormal human action recognition using average energy images

Dinesh Kumar Vishwakarma, Chhavi Dhiman, Dishani Lahiri, 2017, 2017 Conference on Information and Communication Technology (CICT).

A deep learning architecture of RA-DLNet for visual sentiment analysis

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2020, Multimedia Systems.

Three‐dimensional human activity recognition by forming a movement polygon using posture skeletal data from depth sensor

D. Vishwakarma, Konark Jain, 2022, ETRI Journal.

A unified framework of deep networks for genre classification using movie trailer

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2020, Appl. Soft Comput..

A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis pdf

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2020, ACM Trans. Multim. Comput. Commun. Appl..

Face Recognition in an Unconstrained Environment using ConvNet

Dinesh Kumar Vishwakarma, Kunal Chaturvedi, D. Vishwakarma, 2020, BDET.

Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition pdf

Nadir Farah, Dinesh Kumar Vishwakarma, Walid Hariri, 2021, ArXiv.

A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2020, 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM).

A comparative study on bio-inspired algorithms for sentiment analysis

Dinesh Kumar Vishwakarma, Ashima Yadav, D. Vishwakarma, 2020, Cluster Computing.

XRA-Net Framework for Visual Sentiments Analysis

Dinesh Kumar Vishwakarma, Ayush Agarwal, Ashima Yadav, 2019, 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM).

Multimodal Sentiment Analysis via RNN variants

Dinesh Kumar Vishwakarma, Ayush Agarwal, Ashima Yadav, 2019, 2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD).

Wideband High Gain Cylindrical Dielectric Resonator Antenna for X-Band Applications

D. Vishwakarma, Soma Das, N. Mishra, 2019, Frequenz.

Bandwidth Enhancement of Cylindrical Dielectric Resonator Antenna Using Thin Dielectric Layer Fed by Resonating Slot

D. Vishwakarma, Soma Das, N. Mishra, 2016 .

A framework of fake news detection on web platform using ConvNet

D. Vishwakarma, P. Meel, Ashima Yadav, 2023, Social Network Analysis and Mining.

Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information pdf

Dinesh Kumar Vishwakarma, Priyanka Meel, D. Vishwakarma, 2021, Expert Syst. Appl..

Deep Neural Architecture for Veracity Analysis of Multimodal Online Information

D. Vishwakarma, P. Meel, 2021, 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

Demystifying deepfakes using deep learning

S. Aggarwal, D. Vishwakarma, R. Singh, 2021, 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).

A deep neural network-based hybrid recommender system with user-user networks

D. Vishwakarma, Ayush Tanwar, 2022, Multimedia Tools and Applications.

Human Activity Recognition Using Gabor Wavelet Transform and Ridgelet Transform

Rajiv Kapoor, Dinesh Kumar Vishwakarma, Prachi Rawat, 2015 .

Application of Finite Difference Time Domain to Calculate the Transmission Coefficient of an Electromagnetic Wave Impinging Perpendicularly on a Dielectric Interface with Modified MUR-I ABC

D. Vishwakarma, Biswajeet Mukherjee, 2012 .

Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection

Domingo Mery, Dinesh Kumar Vishwakarma, Mukesh Prasad, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Violence recognition using convolutional neural network: A survey

Dinesh Kumar Vishwakarma, Gaurav Tripathi, Kuldeep Singh, 2020, J. Intell. Fuzzy Syst..

A two-fold transformation model for human action recognition using decisive pose

Dinesh Kumar Vishwakarma, D. Vishwakarma, 2020, Cognitive Systems Research.

Hand gesture recognition in low-intensity environment using depth images

Varun Grover, Dinesh Kumar Vishwakarma, D. Vishwakarma, 2017, 2017 International Conference on Intelligent Sustainable Systems (ICISS).

Crowd Emotion Analysis Using 2D ConvNets

Kuldeep Singh, Dinesh Kumar Vishwakarma, Gaurav Tripathi, 2020, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT).

HAN, image captioning, and forensics ensemble multimodal fake news detection

Dinesh Kumar Vishwakarma, Priyanka Meel, D. Vishwakarma, 2021, Information Sciences.

Part-wise Spatio-temporal Attention Driven CNN-based 3D Human Action Recognition

Dinesh Kumar Vishwakarma, Chhavi Dhiman, Paras Agarwal, 2021, ACM Trans. Multim. Comput. Commun. Appl..

Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets

Gurjit Singh Walia, Dinesh Kumar Vishwakarma, Kuldeep Singh, 2020, Neurocomputing.

Fast Deformable Model for Pedestrian Detection with Haar-like features

Chin-Teng Lin, Deepak Puthal, Dinesh Kumar Vishwakarma, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Obscenity Detection in Videos Through a Sequential ConvNet Pipeline Classifier

D. Vishwakarma, Neil Gautam, 2023, IEEE Transactions on Cognitive and Developmental Systems.

Blind image deblurring via gradient orientation-based clustered coupled sparse dictionaries

G. S. Walia, Kuldeep Singh, D. Vishwakarma, 2019, Pattern Analysis and Applications.

Recent State-of-the-art of Fake News Detection: A Review

Chhavi Jain, Dinesh Kumar Vishwakarma, D. Vishwakarma, 2020, 2020 International Conference for Emerging Technology (INCET).

View-invariant Deep Architecture for Human Action Recognition using late fusion

D. Vishwakarma, Chhavi Dhiman, 2019, ArXiv.

Deep learning algorithms for person re-identification: sate-of-the-art and research challenges

D. Vishwakarma, Ankit Yadav, 2023, Multimedia Tools and Applications.

DLVS: Time Series Architecture for Image-Based Visual Servoing

D. Vishwakarma, Tushar Singh, Nilesh Aggarwal, 2023, 2023 8th International Conference on Control and Robotics Engineering (ICCRE).

A novel framework for detection of motion and appearance-based Anomaly using ensemble learning and LSTMs

D. Vishwakarma, Mohammad Sabih, 2021, Expert Syst. Appl..

A literature survey on multimodal and multilingual automatic hate speech identification

D. Vishwakarma, Anusha Chhabra, 2023, Multimedia Systems.

Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture

D. Vishwakarma, Anusha Chhabra, 2023, Engineering Applications of Artificial Intelligence.

Classifying Heart Sounds for Disease Detection Using Deep Learning Methods

D. Vishwakarma, Dhiren Kinha, Garvit Gulati, 2023, 2023 4th International Conference for Emerging Technology (INCET).

Exposing the Vulnerabilities of Deep Learning Models in News Classification

D. Vishwakarma, Ashish Bajaj, 2023, 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT).

Bypassing Deep Learning based Sentiment Analysis from Business Reviews

D. Vishwakarma, Ashish Bajaj, 2023, 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN).

Attention-based Model for Multi-modal sentiment recognition using Text-Image Pairs

D. Vishwakarma, Ananya Pandey, 2023, 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT).

Multimodal Sarcasm Detection (MSD) in Videos using Deep Learning Models

D. Vishwakarma, Ananya Pandey, 2023, 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT).

CNN based Covid-aid: Covid 19 Detection using Chest X-ray

D. Vishwakarma, Aman Garg, Shrinjal Singh, 2021, 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).

Exploring Novel Optical Properties with Attention Mechanism for Gait Recognition

Narendra Kumar, D. Vishwakarma, Mohammad Sabih, 2022, International Conference Computing Methodologies and Communication.

Integrated approach for human action recognition using edge spatial distribution, direction pixel and -transform

Rajiv Kapoor, D. K. Vishwakarma, Rajiv Kapoor, 2015, Adv. Robotics.

A Hybrid Neuro-Wavelet Based Pre-Processing Technique for Data Representation

Tej Singh, D.K Vishwakarma, D. Vishwakarma, 2017, 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).

On general Gamma-Taylor operators on weighted spaces

D. Vishwakarma, Alok Kumar, Rajat Kaushik, 2016 .

FLEX: A Content Based Movie Recommender

Dinesh Kumar Vishwakarma, Anirudh Gupta, Rujhan Singla, 2020, 2020 International Conference for Emerging Technology (INCET).

Investigating the Impact of Visual Attention Models in Face Forgery Detection

D. Vishwakarma, Ankit Yadav, 2023, 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC).

View-Invariant Deep Architecture for Human Action Recognition Using Two-Stream Motion and Shape Temporal Dynamics

D. Vishwakarma, Chhavi Dhiman, 2019, IEEE Transactions on Image Processing.

Detection of Cyberbullying on Social Media Using Machine learning

D. Vishwakarma, V. Jain, V. Pal, 2021, 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).

Ensemble Learning using Vision Transformer and Convolutional Networks for Person Re-ID

D. Vishwakarma, A. Gupta, Neil Gautam, 2022, 2022 6th International Conference on Computing Methodologies and Communication (ICCMC).

COVID-19 Severity Assessment from Chest X-rays using Attention-based Weakly-Supervised Learning

D. Vishwakarma, N. Deo, Kunal Chaturvedi, 2021, 2021 2nd International Conference for Emerging Technology (INCET).

MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection

D. Vishwakarma, Ankit Yadav, 2023, Expert Syst. Appl..

A Robust Framework for the Recognition of Human Action and Activity Using Spatial Distribution Gradients and Gabor Wavelet

Kuldeep Singh, Dinesh Kumar Vishwakarma, Jaya Gautam, 2018 .

Hybrid XGBoost and Extreme Machine Learning Algorithm on Diabetes Disease Prediction

D. Vishwakarma, Amaan Bilal, Abrar Zahoor, 2023, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT).

Comparative Analysis of Time Series Models on COVID-19 Predictions

D. Vishwakarma, Puneet Kumar Sehrawat, 2022, 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS).

Blockchain-Enabled Healthcare Records Management: A Survey of Implementation Strategies

D. Vishwakarma, Divya Kuntal, 2023, 2023 3rd International Conference on Intelligent Technologies (CONIT).

A Robust Framework for Abnormal Human Action Recognition Using $\boldsymbol{\mathcal{R}}$ -Transform and Zernike Moments in Depth Videos

Dinesh Kumar Vishwakarma, Chhavi Dhiman, D. Vishwakarma, 2019, IEEE Sensors Journal.

Offensive Hinglish Text Classification Using Longformer, Bigbird & HingMBert

D. Vishwakarma, Sushant Kumar, Yakshit Bansal, 2023, 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT).

Automatic Image Colorization using U-Net

D. Vishwakarma, Aryan Bansal, Divyansh Goel, 2021, 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT).

An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning

D. Vishwakarma, Arjun Choudhry, Inder Khatri, 2024, IEEE Transactions on Computational Social Systems.

An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning

D. Vishwakarma, Minni Jain, Arjun Choudhry, 2022, ArXiv.

Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey

D. Vishwakarma, Ananya Pandey, 2023, Appl. Soft Comput..

Modeling of Rainfall and Ground Water Fluctuation of Gonda District Uttar Pradesh, India

D. Vishwakarma, K. Pandey, Rohitash Kumar, 2018 .

A human activity recognition framework in videos using segmented human subject focus

D. Vishwakarma, Shaurya Gupta, Nitin Kumar Puri, 2024, The Visual Computer.

A Comparative Study on Different Machine Learning Algorithms to Detect PCOS

D. Vishwakarma, Rithwick Sethi, Sreetam Ganguly, 2023, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT).

A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges

D. Vishwakarma, Manu Narula, Jasraj Meena, 2024, Eng. Appl. Artif. Intell..

Robotics and Autonomous Systems

Rajiv Kapoor, D. Vishwakarma, Ashish Dhiman, 2022 .

A novel approach for forecasting PM2.5 pollution in Delhi using CATALYST

D. Vishwakarma, V. Ranga, Abhishek Verma, 2023, Environmental Monitoring and Assessment.

Forecasting of Satellite Based Carbon-Monoxide Time-Series Data Using a Deep Learning Approach

D. Vishwakarma, Abhishek Verma, Virendar Ranga, 2023, 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT).

A state-of-the-art review on adversarial machine learning in image classification

D. Vishwakarma, Ashish Bajaj, 2023, Multim. Tools Appl..

Fake News Detection using Semi-Supervised Graph Convolutional Network pdf

Dinesh Kumar Vishwakarma, Priyanka Meel, D. Vishwakarma, 2021, ArXiv.