Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis.
Neurocomputing, 2025
MFB: A Generalized Multimodal Fusion Approach for Bitcoin Price Prediction Using Time-Lagged Sentiment and Indicator Features.
Expert Syst. Appl., 2025
Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning.
Mach. Learn. Knowl. Extr., September, 2024
AntiPhishStack: LSTM-Based Stacked Generalization Model for Optimized Phishing URL Detection.
Symmetry, February, 2024
SH-SDS: a new static-dynamic strategy for substation host security detection.
PeerJ Comput. Sci., 2024
Emotion-Aware Response Generation Using Affect-Enriched Embeddings with LLMs.
CoRR, 2024
AntiPhishStack: LSTM-based Stacked Generalization Model for Optimized Phishing URL Detection.
CoRR, 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation.
CoRR, 2024
BO-DNA: Biologically optimized encoding model for a highly-reliable DNA data storage.
Comput. Biol. Medicine, October, 2023
A novel secure and distributed architecture for privacy-preserving healthcare system.
J. Netw. Comput. Appl., 2023
Towards Convergence of IoT and Blockchain for Secure Supply Chain Transaction.
Symmetry, 2022
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis.
PeerJ Comput. Sci., 2022
A Hybrid Recommendation Model for Social Network Services Using Twitter Data.
Proceedings of the Web Services - ICWS 2022, 2022
A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators.
Proceedings of the Big Data and Security - 4th International Conference, 2022
A High-Frequency Stock Price Prediction Method Based on Mode Decomposition and Deep Learning.
Proceedings of the Big Data and Security - 4th International Conference, 2022
An Overlapping Community Detection Approach in Ego-Splitting Networks Using Symmetric Nonnegative Matrix Factorization.
Symmetry, 2021
WRS: A Novel Word-embedding Method for Real-time Sentiment with Integrated LSTM-CNN Model.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
LSTM based Model for Real-time Stock Market Prediction on Unexpected Incidents.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
Improving Relation Extraction by Knowledge Representation Learning.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
A Strategy-based Optimization Algorithm to Design Codes for DNA Data Storage System.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021
GAWA-A Feature Selection Method for Hybrid Sentiment Classification.
IEEE Access, 2020
Statistic Solution for Machine Learning to Analyze Heart Disease Data.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
Sentiment Analysis on Twitter: A text Mining Approach to the Afghanistan Status Reviews.
Proceedings of the 2018 International Conference on Artificial Intelligence and Virtual Reality, 2018