PEST DETECTION BASED ON LIGHTWEIGHT LOCALITY-AWARE FASTER R-CNN

Pest Detection Based on Lightweight Locality-Aware Faster R-CNN

Accurate and timely monitoring of pests is an effective way to minimize the negative effects of pests in agriculture.Since deep learning-based methods have achieved good performance in object detection, they have been successfully applied for pest detection and monitoring.However, the current pest detection methods fail to balance the relationship

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Managing Dental Phobia in Children with the Use of Virtual Reality: A Systematic Review of the Current Literature

Background: It is common today to encounter anxiety in patients facing dental Electric Massagers treatment.Virtual reality (VR) is presented as a high-performing and innovative procedure because it can distract patients undergoing dental procedures or prepare them for such treatments.In addition, this meta-analysis has gathered evidence on VR and i

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Study of clinical, laboratory, and upper gastrointestinal endoscopic profile in patients of alcoholic liver disease in Sikkim

Background: Alcoholic liver disease (ALD) is the most common liver disease in India, caused by excessive intake of alcohol even though being a preventable disease.The three principal types of ALD are fatty liver, alcoholic hepatitis, and cirrhosis.Objectives: Study of clinical presentation, laboratory parameters, abdominal sonographic and upper gas

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