Java Plum Leaf Classification Using a Mobile Application with Inception Network
نویسندگان
چکیده
منابع مشابه
Facies classification from well logs using an inception convolutional network
The idea to use automated algorithms to determine geological facies from well logs is not new (see e.g Busch et al. (1987); Rabaute (1998)) but the recent and dramatic increase in research in the field of machine learning makes it a good time to revisit the topic. Following an exercise proposed by Dubois et al. (2007) and Hall (2016) we employ a modern type of deep convolutional network, called...
متن کاملA Deep Residual Inception Network for HEp-2 Cell Classification
Indirect-immunofluorescence (IIF) of Human Epithelial-2 (HEp-2) cells is a commonly-used method for the diagnosis of autoimmune diseases. Traditional approach relies on specialists to observe HEp-2 slides via the fluorescence microscope, which suffers from a number of shortcomings like being subjective and labor intensive. In this paper, we proposed a hybrid deep learning network combining the ...
متن کاملA mobile application prototype using network coding
This paper looks into implementation details of network coding for a mobile application running on commercial mobile phones. We describe the necessary coding operations and algorithms that implements them. The coding algorithms forms the basis for a implementation in C++ and Symbian C++. We report on practical measurement results of coding throughput and energy consumption for a single-source m...
متن کاملPlant classification based on leaf Shape features using Neural Network
Plant classification becomes very much demanding research area for the use of taxonomist and botanist as well as in agricultural requirement. Using computerized techniques for performing these task is more effective. This research paper presents the classification of plants by using Feed forward Back Propagation Neural Network designed.This method performed in three steps first is leaf image pr...
متن کاملOn Decentralized Classification using a Network of Mobile Sensors
This paper considers how a team of mobile sensors should cooperatively move so as to optimally categorize a single moving target from their noisy sensor readings. The cooperative control procedure is based on the development of a cost function that quantifies the team’s classification error. The robots’ motions are then chosen to minimize this function. We particularly investigate the case wher...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Trends in Computer Science and Engineering
سال: 2020
ISSN: 2278-3091
DOI: 10.30534/ijatcse/2020/2391.32020