|
|
|
|
|
Vitali Czymmek, Carolin Köhn, Leif Ole Harders and Stephan Hussmann
The sustainable cultivation of organic vegetables and the associated problem of weed control has been a current research topic for some time. Despite this, the use of chemical and synthetic pesticides increases every year. This is to be solved with the h...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miaomiao Yuan, Zhuneng Fang, Peng Xiao, Ruijin Tong, Min Zhang and Yule Huang
Real-time systems for measuring structural cracks are of great significance due to their computational and cost efficacy, inherent hazards, and detection discrepancies associated with the manual visual assessment of structures. The precision and effectiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pedro F. Durães and Mário P. Véstias
The very good results achieved with recent algorithms for image classification based on deep learning have enabled new applications in many domains. The medical field is one that can greatly benefit from these algorithms in order to help the medical prof...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weison Lin, Yajun Zhu and Tughrul Arslan
Edge AI accelerators are utilized to accelerate the computation in edge AI devices such as image recognition sensors on robotics, door lockers, drones, and remote sensing satellites. Instead of using a general-purpose processor (GPP) or graphic processin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ahmed Jawad A. AlBdairi, Zhu Xiao, Ahmed Alkhayyat, Amjad J. Humaidi, Mohammed A. Fadhel, Bahaa Hussein Taher, Laith Alzubaidi, José Santamaría and Omran Al-Shamma
In the last decade, there has been a surge of interest in addressing complex Computer Vision (CV) problems in the field of face recognition (FR). In particular, one of the most difficult ones is based on the accurate determination of the ethnicity of man...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ian Andrew Grout and Lenore Mullin
In embedded electronic system applications being developed today, complex datasets are required to be obtained, processed, and communicated. These can be from various sources such as environmental sensors, still image cameras, and video cameras. Once obt...
ver más
|
|
|
|
|
|
|
|
|
|
|
Faraz Bhatti and Thomas Greiner
Plenoptic camera based system captures the light-field that can be exploited to estimate the 3D depth of the scene. This process generally consists of a significant number of recurrent operations, and thus requires high computation power. General purpose...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hasan Irmak, Federico Corradi, Paul Detterer, Nikolaos Alachiotis and Daniel Ziener
This work presents a dynamically reconfigurable architecture for Neural Network (NN) accelerators implemented in Field-Programmable Gate Array (FPGA) that can be applied in a variety of application scenarios. Although the concept of Dynamic Partial Recon...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yulin Zhao, Donghui Wang and Leiou Wang
Convolutional neural networks (CNNs) have achieved great success in image processing. However, the heavy computational burden it imposes makes it difficult for use in embedded applications that have limited power consumption and performance. Although the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wael Deabes
This paper presents the hardware implementation of a stand-alone Electrical Capacitance Tomography (ECT) system employing a Field Programmable Gate Array (FPGA). The image reconstruction algorithms of the ECT system demand intensive computation and fast ...
ver más
|
|
|
|
|
|