COMPREHENSIVE INVESTIGATION OF MACHINE LEARNING AND DEEP LEARNING NETWORKS FOR IDENTIFYING MULTISPECIES TOMATO INSECT IMAGES

Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images

Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition.Tomato (Solanum lycopersicum), a vegetable crop, frequently suffers from pest damage and drought, leading to reduced yields and financial losses to farmers.Accurate detection and classification of tomato pests

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Effectiveness of emotion regulation intervention on fear of negative evaluation and emotion regulation in university students with social anxiety

BACKGROUND: This study aimed to investigate the effectiveness of intervention based on emotion regulation on Originals Double Breasted Blazer fear of negative evaluation and cognitive emotion regulation strategies in university students with social anxiety.METHODS: This was a quasi-experimental study with pretest-posttest design and a control group

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The Efficiency of Alternative and Conventional Energy Exchange-Traded Funds: Are Clean Energy Exchange-Traded Funds a Safer Asset?

This paper examines the efficiency of alternative energy equity Exchange-Traded Funds (ETFs) and conventional energy equity ETFs from 2018 to 2020, utilizing a combination of an output-oriented Credenza/Cabinet/Shelf Slack-Based Data Envelopment Analysis (DEA) model and cluster analysis.In the context of an output-oriented DEA model, efficiency is

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