采用改进YOLOv4-Tiny 模型的柑橘木虱识别
胡嘉沛， 李震， 黄河清， 洪添胜， 姜晟， 曾镜源 - 农业工程学报, 2021 - aeeisp.com
黄龙病是一种以柑橘木虱为传播媒介的毁灭性病害, 其关键预防措施是在果园现场环境对柑橘木
虱识别监测, 辅助果农进行早期防治. 该研究基于YOLOv4-Tiny 模型提出一种适用于嵌入式系统 …
虱识别监测, 辅助果农进行早期防治. 该研究基于YOLOv4-Tiny 模型提出一种适用于嵌入式系统 …
Logarithmic Learning Differential Convolutional Neural Network
Abstract Convolutional Neural Networks (CNNs) have revolutionized image classification
through their innovative design and training methodologies in computer vision. Differential …
through their innovative design and training methodologies in computer vision. Differential …
[PDF][PDF] 基于SSA-LSTM 的日光温室环境预测模型研究
祖林禄， 柳平增， 赵妍平， 李天华， 李辉 - 农业机械学报, 2023 - aeeisp.com
构建日光温室环境预测模型, 准确预测温室环境变化有助于精准调控作物生长环境,
促进果蔬生长. 而温室小气候环境数据多参数并存, 耦合关系复杂, 且具有时序性和非线性 …
促进果蔬生长. 而温室小气候环境数据多参数并存, 耦合关系复杂, 且具有时序性和非线性 …
Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution
Q Zhou, R Ooka - Energy and Buildings, 2021 - Elsevier
The indoor environment is important to the daily lives of humans. Fast and accurate
prediction of indoor environments is desirable with regard to practical applications, such as …
prediction of indoor environments is desirable with regard to practical applications, such as …
[HTML][HTML] Fault diagnosis of nuclear power plant sliding bearing-rotor systems using deep convolutional generative adversarial networks
Q Li, W Zhang, F Chen, G Huang, X Wang… - Nuclear Engineering …, 2024 - Elsevier
Sliding bearings are crucial rotating mechanical components in nuclear power plants, and
their failures can result in severe economic losses and human casualties. Deep learning …
their failures can result in severe economic losses and human casualties. Deep learning …
Multivariate long-time series traffic passenger flow prediction using causal convolutional sparse self-attention MTS-Informer
M Liu, W Wang, X Hu, Y Fu, F Xu, X Miao - Neural Computing and …, 2023 - Springer
As an important part of the operation preparation process of the intelligent transportation
system, the passenger flow distribution law and forecast can guide the urban rail transit to …
system, the passenger flow distribution law and forecast can guide the urban rail transit to …
面向对抗样本的深度神经网络可解释性分析
董胤蓬， 苏航， 朱军 - 自动化学报, 2022 - aas.net.cn
虽然深度神经网络(Deep neural networks, DNNs) 在许多任务上取得了显著的效果,
但是由于其可解释性(Interpretability) 较差, 通常被当做“黑盒” 模型. 本文针对图像分类任务 …
但是由于其可解释性(Interpretability) 较差, 通常被当做“黑盒” 模型. 本文针对图像分类任务 …
Multiscale deepspectra network: detection of pyrethroid pesticide residues on the hami melon
G Yu, H Li, Y Li, Y Hu, G Wang, B Ma, H Wang - Foods, 2023 - mdpi.com
The problem of pyrethroid residues has become a topical issue, posing a potential food
safety concern. Pyrethroid pesticides are widely used to prevent and combat pests in Hami …
safety concern. Pyrethroid pesticides are widely used to prevent and combat pests in Hami …
Research on pepper external quality detection based on transfer learning integrated with convolutional neural network
R Ren, S Zhang, H Sun, T Gao - Sensors, 2021 - mdpi.com
A pepper quality detection and classification model based on transfer learning combined
with convolutional neural network is proposed as a solution for low efficiency of manual …
with convolutional neural network is proposed as a solution for low efficiency of manual …
改进SSD 的飞机遥感图像目标检测.
王浩桐， 郭中华 - Chinese Journal of Liquid Crystal & …, 2022 - search.ebscohost.com
针对当前飞机遥感图像目标检测算法的精度和实时性不能兼顾的问题, 提出了基于SSD (
SingleShotMultiBoxDeG tector) 的飞机遥感图像目标检测算法. 首先使用经过改进后的深度残 …
SingleShotMultiBoxDeG tector) 的飞机遥感图像目标检测算法. 首先使用经过改进后的深度残 …