IEEE

Automated Plant Disease Detection Using CNNs and YOLOv5: A Comprehensive Approach with Grad-CAM and VGG16

Abstract: Convolutional neural networks will be used in the proposed research project to create a plant disease detection system (CNNs). Object detection is used (Yolov5), so it is the model having ...

APT37 hackers use new malware to breach air-gapped networks

North Korean hackers are deploying newly uncovered tools to move data between internet-connected and air-gapped systems, spread via removable drives, and conduct covert surveillance.

Arms Cyber Announces Integration with Veeam to Automate the Isolation of Ransomware-Infected Backups

When Arms Cyber detects a ransomware event on a protected workload, it instantly triggers the Veeam Incident API. This action immediately marks relevant restore points in the Veeam console as ...
IEEE

Automated Fish Species Classification Using Convolutional Neural Networks

Abstract: Appropriate classification of species in fish is important for biodiversity conservation, management of fisheries, and ecological research. This paper introduces a novel deep learning method ...