RT-DETR-TOMATO: TOMATO TARGET DETECTION ALGORITHM BASED ON IMPROVED RT-DETR FOR AGRICULTURAL SAFETY PRODUCTION

RT-DETR-Tomato: Tomato Target Detection Algorithm Based on Improved RT-DETR for Agricultural Safety Production

The detection of tomatoes is of vital importance for enhancing production efficiency, EZee rider show pants with image recognition-based tomato detection methods being the primary approach.However, these methods face challenges such as the difficulty in extracting small targets, low detection accuracy, and slow processing speeds.Therefore, this pap

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Aripiprazole-induced rosacea. Case report and literature review

Introduction Skin and subcutaneus tissue disorders are common type of adverse drug reactions reported with a wide variety of both typical and atypical antipsychotics.Aripiprazole is a quinolinone antipsychotic that is a partial agonist at the D2 and 5-HT1A receptors and antagonist at the 5-HT2A receptors.We report a case of rosacea that developed a

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Accuracy Bounds and Measurements of a Contactless Permittivity Sensor for Gases Using Synchronized Low-Cost mm-Wave Frequency Modulated Continuous Wave Radar Transceivers

A primary concern in a multitude of industrial processes is the precise monitoring of gaseous substances to ensure proper operating conditions.However, many traditional technologies are not suitable for operation under harsh environmental conditions.Radar-based time-of-flight permittivity measurements have been proposed as alternative but suffer fr

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The syntax of interjections in isiXhosa : A a corpus-driven study

Store gift cards This paper examines the syntactic properties of interjections in isiXhosa and their compliance with the interjectional prototype and its extra-systematicity as postulated in linguistic typology.By reviewing nearly two thousand uses of interjections in the comic genre, the authors conclude the following: in its integrity, the catego

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Summon a demon and bind it: A grounded theory of LLM red teaming.

Engaging in the deliberate generation of abnormal outputs from Large Language Models (LLMs) by attacking them is a novel human activity.This paper presents a thorough exposition of how and why people perform such attacks, defining LLM red-teaming based on extensive and diverse evidence.Using a formal qualitative methodology, we interviewed dozens o

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