Prayag Tiwari

Orcid: 0000-0002-2851-4260

According to our database1, Prayag Tiwari authored at least 176 papers between 2017 and 2024.

Collaborative distances:



In proceedings 
PhD thesis 


Online presence:



IoMT-Based Smart Healthcare Detection System Driven by Quantum Blockchain and Quantum Neural Network.
IEEE J. Biomed. Health Informatics, June, 2024

Evolutionary Meta-Heuristic Offloading and Scheduling Schemes Enabled Industrial Cyber-Physical System.
IEEE Syst. J., June, 2024

Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review.
ACM Comput. Surv., June, 2024

Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model.
IEEE Trans. Artif. Intell., May, 2024

Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization.
IEEE J. Biomed. Health Informatics, April, 2024

Few-Shot Class-Incremental Learning for Medical Time Series Classification.
IEEE J. Biomed. Health Informatics, April, 2024

QMFND: A quantum multimodal fusion-based fake news detection model for social media.
Inf. Fusion, April, 2024

Global-and-Local Attention-Based Reinforcement Learning for Cooperative Behaviour Control of Multiple UAVs.
IEEE Trans. Veh. Technol., March, 2024

Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation.
IEEE Trans. Artif. Intell., March, 2024

Quantum-Assisted Activation for Supervised Learning in Healthcare-Based Intrusion Detection Systems.
IEEE Trans. Artif. Intell., March, 2024

Energy Efficient Quantum-Informed Ant Colony Optimization Algorithms for Industrial Internet of Things.
IEEE Trans. Artif. Intell., March, 2024

ICGNet: An intensity-controllable generation network based on covering learning for face attribute synthesis.
Inf. Sci., March, 2024

Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning.
Inf. Process. Manag., March, 2024

Quantum Fuzzy Neural Network for multimodal sentiment and sarcasm detection.
Inf. Fusion, March, 2024

A blockchain-enabled privacy-preserving authentication management protocol for Internet of Medical Things.
Expert Syst. Appl., March, 2024

Pre-trained Language Models in Biomedical Domain: A Systematic Survey.
ACM Comput. Surv., March, 2024

IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning.
IEEE Trans. Netw. Serv. Manag., February, 2024

A Dual Channel Cyber-Physical Transportation Network for Detecting Traffic Incidents and Driver Emotion.
IEEE Trans. Consumer Electron., February, 2024

FedSarah: A Novel Low-Latency Federated Learning Algorithm for Consumer-Centric Personalized Recommendation Systems.
IEEE Trans. Consumer Electron., February, 2024

Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis.
IEEE Trans. Artif. Intell., February, 2024

DILF: Differentiable rendering-based multi-view Image-Language Fusion for zero-shot 3D shape understanding.
Inf. Fusion, February, 2024

QEPP: A Quantum Efficient Privacy Protection Protocol in 6G-Quantum Internet of Vehicles.
IEEE Trans. Intell. Veh., January, 2024

AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.
Neural Networks, January, 2024

A survey on few-shot class-incremental learning.
Neural Networks, January, 2024

MV-ReID: 3D Multi-view Transformation Network for Occluded Person Re-Identification.
Knowl. Based Syst., January, 2024

QB-IMD: A Secure Medical Data Processing System With Privacy Protection Based on Quantum Blockchain for IoMT.
IEEE Internet Things J., January, 2024

Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction.
Expert Syst. Appl., January, 2024

A Blockchain-Based Cross-Domain Authentication Management System for IoT Devices.
IEEE Trans. Netw. Sci. Eng., 2024

Document-level Relation Extraction with Relation Correlations.
Neural Networks, 2024

Sequence homology score-based deep fuzzy network for identifying therapeutic peptides.
Neural Networks, 2024

AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction.
Knowl. Based Syst., 2024

Revolutionizing healthcare: IoMT-enabled digital enhancement via multimodal ADL data fusion.
Inf. Fusion, 2024

Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation.
Expert Syst. Appl., 2024

Occluded person re-identification with deep learning: A survey and perspectives.
Expert Syst. Appl., 2024

Low-Redundant Unsupervised Feature Selection based on Data Structure Learning and Feature Orthogonalization.
Expert Syst. Appl., 2024

Expected Grad-CAM: Towards gradient faithfulness.
CoRR, 2024

Deep Network Pruning: A Comparative Study on CNNs in Face Recognition.
CoRR, 2024

Mixture of Experts Using Tensor Products.
CoRR, 2024

Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation.
CoRR, 2024

Predicting Overtakes in Trucks Using CAN Data.
CoRR, 2024

Pushing The Limit of LLM Capacity for Text Classification.
CoRR, 2024

US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation.
Comput. Biol. Medicine, 2024

Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation.
Biomed. Signal Process. Control., 2024

Fuzzy kernel evidence Random Forest for identifying pseudouridine sites.
Briefings Bioinform., 2024

Secure and efficient data transmission based on quantum dialogue with hyperentangled states in cloud office.
Internet Things, December, 2023

QNMF: A quantum neural network based multimodal fusion system for intelligent diagnosis.
Inf. Fusion, December, 2023

Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites.
Inf. Fusion, December, 2023

Predicting users' behavior using mouse movement information: an information foraging theory perspective.
Neural Comput. Appl., November, 2023

Quantum conditional generative adversarial network based on patch method for abnormal electrocardiogram generation.
Comput. Biol. Medicine, November, 2023

EDCNNS: Federated learning enabled evolutionary deep convolutional neural network for Alzheimer disease detection.
Appl. Soft Comput., November, 2023

Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model.
IEEE Trans. Artif. Intell., October, 2023

Causal embedding of user interest and conformity for long-tail session-based recommendations.
Inf. Sci., October, 2023

Unsupervised feature selection based on variance-covariance subspace distance.
Neural Networks, September, 2023

Robust stability analysis for class of Takagi-Sugeno (T-S) fuzzy with stochastic process for sustainable hypersonic vehicles.
Inf. Sci., September, 2023

A Multimodal Coupled Graph Attention Network for Joint Traffic Event Detection and Sentiment Classification.
IEEE Trans. Intell. Transp. Syst., August, 2023

Quantum detectable Byzantine agreement for distributed data trust management in blockchain.
Inf. Sci., August, 2023

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues.
Clust. Comput., August, 2023

Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning.
Neural Comput. Appl., July, 2023

Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting.
IEEE Trans. Veh. Technol., June, 2023

Observer-Based Control for a New Stochastic Maximum Power Point Tracking for Photovoltaic Systems With Networked Control System.
IEEE Trans. Fuzzy Syst., June, 2023

An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology.
IEEE Syst. J., June, 2023

A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites.
Inf. Sci., June, 2023

A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations.
Inf. Fusion, May, 2023

An overview of violence detection techniques: current challenges and future directions.
Artif. Intell. Rev., May, 2023

Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT.
Digit. Commun. Networks, April, 2023

IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach.
Computing, April, 2023

Toward Explainable Dialogue System Using Two-stage Response Generation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

Subspace projection-based weighted echo state networks for predicting therapeutic peptides.
Knowl. Based Syst., March, 2023

SMDetector: Small mitotic detector in histopathology images using faster R-CNN with dilated convolutions in backbone model.
Biomed. Signal Process. Control., March, 2023

IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain.
IEEE J. Biomed. Health Informatics, February, 2023

Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare.
IEEE J. Biomed. Health Informatics, February, 2023

Reinforcement-Learning-Based Optimization on Energy Efficiency in UAV Networks for IoT.
IEEE Internet Things J., February, 2023

Stance-level Sarcasm Detection with BERT and Stance-centered Graph Attention Networks.
ACM Trans. Internet Techn., 2023

Blockchain-Enabled Cybersecurity Efficient IIOHT Cyber-Physical System for Medical Applications.
IEEE Trans. Netw. Sci. Eng., 2023

Consumer-Centric Internet of Medical Things for Cyborg Applications Based on Federated Reinforcement Learning.
IEEE Trans. Consumer Electron., 2023

A cluster UAV inspired honeycomb defense system to confront military IoT: a dynamic game approach.
Soft Comput., 2023

Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature.
Neural Process. Lett., 2023

Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review.
Knowl. Based Syst., 2023

Explainable quantum clustering method to model medical data.
Knowl. Based Syst., 2023

A delayed Takagi-Sugeno fuzzy control approach with uncertain measurements using an extended sliding mode observer.
Inf. Sci., 2023

Edge-Enabled Blockchain-Based V2X Scheme for Secure Communication Within the Smart City Development.
IEEE Internet Things J., 2023

Privacy protection in intelligent vehicle networking: A novel federated learning algorithm based on information fusion.
Inf. Fusion, 2023

Continuous transfer of neural network representational similarity for incremental learning.
Neurocomputing, 2023

3D human pose and shape estimation via de-occlusion multi-task learning.
Neurocomputing, 2023

Adaptive weighted multiscale retinex for underwater image enhancement.
Eng. Appl. Artif. Intell., 2023

EEG Based Emotion Recognition: A Tutorial and Review.
ACM Comput. Surv., 2023

Climate Change from Large Language Models.
CoRR, 2023

DialogueLLM: Context and Emotion Knowledge-Tuned LLaMA Models for Emotion Recognition in Conversations.
CoRR, 2023

VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Leveraging BERT and Stacked Embeddings.
CoRR, 2023

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting.
CoRR, 2023

A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease.
CoRR, 2023

Huatuo-26M, a Large-scale Chinese Medical QA Dataset.
CoRR, 2023

An Explainable Model-Agnostic Algorithm for CNN-Based Biometrics Verification.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Using Transformers and Stacked Embeddings.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Towards Subject Agnostic Affective Emotion Recognition.
Proceedings of the 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media co-located with the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Intelligent system for depression scale estimation with facial expressions and case study in industrial intelligence.
Int. J. Intell. Syst., December, 2022

Fully Homomorphic Enabled Secure Task Offloading and Scheduling System for Transport Applications.
IEEE Trans. Veh. Technol., 2022

Affective Interaction: Attentive Representation Learning for Multi-Modal Sentiment Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2022

SANTM: Efficient Self-attention-driven Network for Text Matching.
ACM Trans. Internet Techn., 2022

A Collaborative AI-Enabled Pretrained Language Model for AIoT Domain Question Answering.
IEEE Trans. Ind. Informatics, 2022

C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites.
IEEE Trans. Fuzzy Syst., 2022

Multi-scale local-global architecture for person re-identification.
Soft Comput., 2022

One-shot many-to-many facial reenactment using Bi-Layer Graph Convolutional Networks.
Neural Networks, 2022

Reducing noisy annotations for depression estimation from facial images.
Neural Networks, 2022

Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization.
Neural Networks, 2022

Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images.
Multim. Syst., 2022

Pre-trained language models with domain knowledge for biomedical extractive summarization.
Knowl. Based Syst., 2022

MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity.
Knowl. Based Syst., 2022

Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection.
Knowl. Based Syst., 2022

Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases.
Knowl. Based Syst., 2022

COVIDNet: An Automatic Architecture for COVID-19 Detection With Deep Learning From Chest X-Ray Images.
IEEE Internet Things J., 2022

Deep learning for depression recognition with audiovisual cues: A review.
Inf. Fusion, 2022

DepNet: An automated industrial intelligent system using deep learning for video-based depression analysis.
Int. J. Intell. Syst., 2022

SwitchNet: A modular neural network for adaptive relation extraction.
Comput. Electr. Eng., 2022

Impact of quarantine on fractional order dynamical model of Covid-19.
Comput. Biol. Medicine, 2022

Random Fourier features-based sparse representation classifier for identifying DNA-binding proteins.
Comput. Biol. Medicine, 2022

Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors.
IEEE Access, 2022

Contextualized Graph Embeddings for Adverse Drug Event Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Detecting Simpson's Paradox: A Machine Learning Perspective.
Proceedings of the Database and Expert Systems Applications, 2022

Why Not to Trust Big Data: Discussing Statistical Paradoxes.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations.
IEEE Trans. Fuzzy Syst., 2021

Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis.
Neural Networks, 2021

DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning.
Neural Networks, 2021

Neural variational sparse topic model for sparse explainable text representation.
Inf. Process. Manag., 2021

Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition.
Int. J. Comput. Vis., 2021

Entity-aware capsule network for multi-class classification of big data: A deep learning approach.
Future Gener. Comput. Syst., 2021

Pre-trained Language Models in Biomedical Domain: A Systematic Survey.
CoRR, 2021

Deep neural learning on weighted datasets utilizing label disagreement from crowdsourcing.
Comput. Networks, 2021

An edge AI-enabled IoT healthcare monitoring system for smart cities.
Comput. Electr. Eng., 2021

A smart ontology-based IoT framework for remote patient monitoring.
Biomed. Signal Process. Control., 2021

Breast cancer detection using an ensemble deep learning method.
Biomed. Signal Process. Control., 2021

A soft computing based multi-objective optimization approach for automatic prediction of software cost models.
Appl. Soft Comput., 2021

An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images.
Appl. Soft Comput., 2021

Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer.
IEEE Access, 2021

Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images.
IEEE Access, 2021

MedSeq2Seq: A Medical Knowledge Enriched Sequence to Sequence Learning Model for COVID-19 Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-Task Learning for Jointly Detecting Depression and Emotion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Emotion Recognition from Multi-channel EEG Data through A Dual-pipeline Graph Attention Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An end-to-end exemplar association for unsupervised person Re-identification.
Neural Networks, 2020

Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification.
Neural Networks, 2020

Quantum-like influence diagrams for decision-making.
Neural Networks, 2020

A distant supervision method based on paradigmatic relations for learning word embeddings.
Neural Comput. Appl., 2020

Evidence of power-law behavior in cognitive IoT applications.
Neural Comput. Appl., 2020

Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks.
J. Big Data, 2020

A Noble Double-Dictionary-Based ECG Compression Technique for IoTH.
IEEE Internet Things J., 2020

Kernel Method based on Non-Linear Coherent State.
CoRR, 2020

Robustness analytics to data heterogeneity in edge computing.
Comput. Commun., 2020

Structural block driven enhanced convolutional neural representation for relation extraction.
Appl. Soft Comput., 2020

Quantum-Like Structure in Multidimensional Relevance Judgements.
Proceedings of the Advances in Information Retrieval, 2020

Internet of Things is a revolutionary approach for future technology enhancement: a review.
J. Big Data, 2019

Twitter-based Opinion Mining for Flight Service utilizing Machine Learning.
Informatica (Slovenia), 2019

Towards a Quantum-Inspired Binary Classifier.
IEEE Access, 2019

Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network.
IEEE Access, 2019

Investigating the Importance of Psychological and Environmental Factors for Improving Learner's Performance Using Hidden Markov Model.
IEEE Access, 2019

Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network.
IEEE Access, 2019

A Particle Swarm Optimized Learning Model of Fault Classification in Web-Apps.
IEEE Access, 2019

Binary Classifier Inspired by Quantum Theory.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier.
Sensors, 2018

ANN based short-term traffic flow forecasting in undivided two lane highway.
J. Big Data, 2018

Augmenting Classifiers Performance through Clustering: A Comparative Study on Road Accident Data.
Int. J. Inf. Retr. Res., 2018

Multi-class Classification Model Inspired by Quantum Detection Theory.
CoRR, 2018

Detection of subtype blood cells using deep learning.
Cogn. Syst. Res., 2018

Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis.
Proceedings of the 2018 IEEE International Conference on Research in Intelligent and Computing in Engineering, 2018

Quantum Language Model-based Query Expansion.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Binary Classification Model Inspired from Quantum Detection Theory.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Towards a Quantum-Inspired Framework for Binary Classification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Performance Evaluation of Lazy, Decision Tree Classifier and Multilayer Perceptron on Traffic Accident Analysis.
Informatica (Slovenia), 2017

Implementation of n-gram Methodology for Rotten Tomatoes Review Dataset Sentiment Analysis.
Int. J. Knowl. Discov. Bioinform., 2017

Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Conjoint Analysis of Road Accident Data using K-modes Clustering and Bayesian Networks (Road Accident Analysis using clustering and classification).
Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, 2017

Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017