|
|
|
|
|
Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Achim D. Herrmann, John T. Haynes, Richard M. Robinet and Norlene R. Emerson
Altered tephras (K-bentonites) are of great importance for calibration of the geologic time scale, for local, regional, and global correlations, and paleoenvironmental reconstructions. Thus, definitive identification of individual tephras is critical. Si...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongjun Ni, Zhiwei Shi, Stephen Karungaru, Shuaishuai Lv, Xiaoyuan Li, Xingxing Wang and Jiaqiao Zhang
Rice, a staple food crop worldwide, is pivotal in agricultural productivity and public health. Automatic classification of typical rice pests and diseases is crucial for optimizing rice yield and quality in practical production. However, infrequent occur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chengxi Li and Andrew Zhu
With the accelerated development of medical imaging equipment and techniques, image fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency ablation, especially for liver tumor. Tumor treatment relying on a single medical ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniele M. Trucchi, Alessandro Bellucci, Marco Girolami, Matteo Mastellone and Stefano Orlando
Diamond is a wide bandgap semiconductor with excellent physical properties which allow it to operate under extreme conditions. However, the technological use of diamond was mostly conceived for the fabrication of ultraviolet, ionizing radiation and nucle...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jie Wang, Jie Yang, Jiafan He and Dongliang Peng
Semi-supervised learning has been proven to be effective in utilizing unlabeled samples to mitigate the problem of limited labeled data. Traditional semi-supervised learning methods generate pseudo-labels for unlabeled samples and train the classifier us...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lexin Zhang, Kuiheng Chen, Liping Zheng, Xuwei Liao, Feiyu Lu, Yilun Li, Yuzhuo Cui, Yaze Wu, Yihong Song and Shuo Yan
This study introduces a novel high-accuracy fruit fly detection model based on the Transformer structure, specifically aimed at addressing the unique challenges in fruit fly detection such as identification of small targets and accurate localization agai...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ze Pan, Zheng Tan and Qunbo Lv
The multi-frame super-resolution techniques have been prosperous over the past two decades. However, little attention has been paid to the combination of deep learning and multi-frame super-resolution. One reason is that most deep learning-based super-re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matthew J. Satchell, Jeffrey M. Layng and Robert B. Greendyke
The effect of thermal and chemical boundary conditions on the structure and chemical composition of the wake behind a 3D Mach 7 sphere-cone at an angle of attack of 5 degrees and an altitude of roughly 30,000 m is explored. A special emphasis is placed o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matthew J. Satchell, Jeffrey M. Layng and Robert B. Greendyke
The effect of thermal and chemical boundary conditions on the structure and chemical composition of the wake behind a 3D Mach 7 sphere-cone at an angle of attack of 5 degrees and an altitude of roughly 30,000 m is explored. A special emphasis is placed o...
ver más
|
|
|
|
|
|