Potato (Solanum tuberosum), the fourth most abundant food crop in the world, is subjected to significant challenges due to diseases such as late blight, causing global annual yield loss exceeding $6.7 billion. Current methods of detection are time-consuming and frequently fail to identify early-stage infections. Deep l...
Shubham Roy, Achin Jain, A. Dubey et al.· Discover Artificial Intellig...· 0 citations
The proliferation of multi-cloud architectures has intensified challenges in phishing detection, as security intelligence becomes fragmented across heterogeneous cloud infrastructures governed by stringent privacy regulations and data sovereignty constraints. Conventional centralized threat detection paradigms necessit...
Shakir Khan, Arvind Panwar, Achin Jain et al.· Scientific Reports· 0 citations
This paper proposes MPox-Net1.0: An Artificial Bee Colony (ABC)-optimized weighted ensemble of pre-trained convolutional neural networks (CNNs) for monkeypox classification that integrates transfer learning with swarm intelligence to dynamically balance model contributions based on prediction confidence.
Prashant Sharma, Achin Jain, A. Dubey et al.· Discover Computing· 0 citations
Deep neural networks often suffer significant accuracy degradation when exposed to real-world image corruptions and distribution shifts. To overcome the limitations of fixed, input-agnostic test-time augmentation (TTA), an adaptive framework is proposed that learns per-sample transformations via reinforcement learning....
T. Mittal, A. Dubey, Dharmender Saini et al.· Scientific Reports· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.