Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization.

Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization.

FHG-PR: a hybridized fuzzy-AHP and game theory model for assessing privacy risk on social media platforms.

Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification.

CED-OR Based Opportunistic Routing Mechanism for Underwater Wireless Sensor Networks.

Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model.

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation.

A Deep Convolutional Neural Network Stacked Ensemble for Malware Threat Classification in Internet of Things.

CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model.

Detection of clone scammers in Android markets using IoT-based edge computing.

Efficient models for enhancing the link adaptation performance of LTE/LTE-A networks.

Corrigendum to "USPF: Underwater Shrewd Packet Flooding Mechanism through Surrogate Holding Time".

A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images.

USPF: Underwater Shrewd Packet Flooding Mechanism through Surrogate Holding Time.

A machine learning approach for classification of equivalent mutants.

IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture.

Malware detection in industrial internet of things based on hybrid image visualization and deep learning model.

Underwater Pragmatic Routing Approach Through Packet Reverberation Mechanism.

Detection of Malicious Activities in Internet of Things Environment Based on Binary Visualization and Machine Intelligence.

A Framework for Automatic Building Detection from Low-Contrast Satellite Images.

A Cross-Platform Malware Variant Classification based on Image Representation.

Identification of malicious code variants based on image visualization.

Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach.

Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model.

A Hybrid Proposed Framework for Object Detection and Classification.