S. Benila
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View article: Enhancing Citrus Plant Health through the Application of Image Processing Techniques for Disease Detection
Enhancing Citrus Plant Health through the Application of Image Processing Techniques for Disease Detection Open
The foremost task in agriculture is the decisive identification of citrus plants and the timely identification of diseases in the plants with the aim of improving the quality of crops and the yield. In this work, a machine learning algorit…
View article: Enhancing counterfactual detection in multilingual contexts using a few shot clue phrase approach
Enhancing counterfactual detection in multilingual contexts using a few shot clue phrase approach Open
This research paper introduces an innovative counterfactual detection system, designed to tackle the complexities of identifying hypothetical statements that describe non-occurring events in diverse fields such as NLP, psychology, medicine…
View article: Personalized Drug Recommendation System Using Wasserstein Auto-encoders and Adverse Drug Reaction Detection with Weighted Feed Forward Neural Network (WAES-ADR) in Healthcare
Personalized Drug Recommendation System Using Wasserstein Auto-encoders and Adverse Drug Reaction Detection with Weighted Feed Forward Neural Network (WAES-ADR) in Healthcare Open
In recent years, the use of deep learning approaches in healthcare has yielded promising results in a variety of fields, most notably in the detection of adverse drug reactions (ADRs) and drug recommendations. This paper promises a breakth…
View article: Federated Synergy: Hierarchical Multi-Agent Learning for Sustainable Edge Computing in IIoT
Federated Synergy: Hierarchical Multi-Agent Learning for Sustainable Edge Computing in IIoT Open
The Industrial Internet of Things (IIoT) presents significant challenges in task offloading, resource allocation, and energy efficiency, necessitating intelligent, scalable, and adaptive solutions. This paper introduces the Hierarchical Mu…
View article: Attention-Guided U-Net With Grad-CAM for Explainable Polyp Segmentation in Colonoscopy Images
Attention-Guided U-Net With Grad-CAM for Explainable Polyp Segmentation in Colonoscopy Images Open
Colorectal cancer prevention relies on early detection and accurate segmentation of polyps in colonoscopy images, yet challenges such as diverse polyp morphologies, varying imaging conditions, and lack of model interpretability hinder effe…
View article: Service Level Agreement Based Secured Data Analytics Framework for Healthcare Systems
Service Level Agreement Based Secured Data Analytics Framework for Healthcare Systems Open
Many physical objects are connected to the internet in this modern day to make things easier to work based on the convenience of the user, which reduces human involvement with the help of Internet of Things (IoT) technology.This aids in th…