With the breakthrough of deep learning techniques, many excellent applications for the automated diagnosis of plant disease have been proposed. However, there are several open issues for developing practical plant disease diagnosis systems in real cultivation. Firstly, most conventional methodologies only accept narrow range images, typically one or quite a limited number of targets are in their inputs. Applying these models to wide-angle images in large farms would be very time-consuming, since many targets (e.g., leaves) need to be diagnosed. In this work, we propose a two-stage system which has independent leaf detection and leaf diagnosis stages for wide-angle disease diagnosis. We show that our proposal attains a promising disease diag...
This study deals with generation of tool posture in continuous 5-axis control machining. In NC progr...
The thesis studies optimal inspection and maintenance policies for high reliable systems. Some modif...
In image-based plant diagnosis, clues related to diagnosis are often unclear, and the other factors ...
An acute increase in human population has led to the serious problem, food crisis. To enhance the ag...
In machine learning techniques, the potential similarity between the training data and test data lea...
The premature convergence problem and the exploration-exploitation trade-off problem are the two maj...
Close-packed structures of fine particles can be self-assembled along specified path by dispensing s...
Arrays of dc-superconducting quantum interference devices (dc-SQUIDs) consisting of at least 100 rep...
40021892059PURPOSE: The purpose of this study is to obtain suggestions for studying new educational ...
Sexual polymorphism, a main strategy to maintain genetic diversity within a species, has long been a...
The calculation method of the sustained yield which has been applied to the national forest for the ...
Here the development process and application of Problem-Based Learning (PBL) are shown. Nagasaki Un ...
This paper describes a go algorithm based on deep learning and playout. The algorithm runs on a smal...
This case study was performed to assess objectively intention in movement for a child with severe mo...
Thin-disk laser is one of the key technologies in modern high power laser fields. It enables to real...
This study deals with generation of tool posture in continuous 5-axis control machining. In NC progr...
The thesis studies optimal inspection and maintenance policies for high reliable systems. Some modif...
In image-based plant diagnosis, clues related to diagnosis are often unclear, and the other factors ...
An acute increase in human population has led to the serious problem, food crisis. To enhance the ag...
In machine learning techniques, the potential similarity between the training data and test data lea...
The premature convergence problem and the exploration-exploitation trade-off problem are the two maj...
Close-packed structures of fine particles can be self-assembled along specified path by dispensing s...
Arrays of dc-superconducting quantum interference devices (dc-SQUIDs) consisting of at least 100 rep...
40021892059PURPOSE: The purpose of this study is to obtain suggestions for studying new educational ...
Sexual polymorphism, a main strategy to maintain genetic diversity within a species, has long been a...
The calculation method of the sustained yield which has been applied to the national forest for the ...
Here the development process and application of Problem-Based Learning (PBL) are shown. Nagasaki Un ...
This paper describes a go algorithm based on deep learning and playout. The algorithm runs on a smal...
This case study was performed to assess objectively intention in movement for a child with severe mo...
Thin-disk laser is one of the key technologies in modern high power laser fields. It enables to real...
This study deals with generation of tool posture in continuous 5-axis control machining. In NC progr...
The thesis studies optimal inspection and maintenance policies for high reliable systems. Some modif...
In image-based plant diagnosis, clues related to diagnosis are often unclear, and the other factors ...