Computer-aided diagnosis of skin cancer: a review
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
Potato diseases detection and classification using deep learning methods
Using machine vision and image processing methods has an important role in the
identification of defects of agricultural products, especially potatoes. The applications of …
identification of defects of agricultural products, especially potatoes. The applications of …
Imperialist competitive algorithm-based optimization of neuro-fuzzy system parameters for automatic red-eye removal
N Razmjooy, M Ramezani, N Ghadimi - International Journal of Fuzzy …, 2017 - Springer
There are great deals of consumer photographs which are affected by red-eye artifacts and
arise frequently when shooting with flash. In this paper, a new technique is proposed to …
arise frequently when shooting with flash. In this paper, a new technique is proposed to …
Entropy-based breast cancer detection in digital mammograms using world cup optimization algorithm
Breast cancer is one of the deadliest cancers for women. Early detection of skin cancer gives
a high chance for the women to escape from the malady and obtain a cure at the initial …
a high chance for the women to escape from the malady and obtain a cure at the initial …
Skin melanoma segmentation using neural networks optimized by quantum invasive weed optimization algorithm
N Razmjooy, S Razmjooy - … and optimization in computer and electrical …, 2020 - Springer
Early detection of skin cancer makes a high chance for the patient to escape from the
malady and cure him/her at initial stages. In other words, by early detection of skin cancer …
malady and cure him/her at initial stages. In other words, by early detection of skin cancer …
Deep learning-based mobile application for plant disease diagnosis: A proof of concept with a case study on tomato plant
With the increasing computational power, areas such as machine learning, image
processing, deep learning, etc. have been extensively applied in agriculture. This chapter …
processing, deep learning, etc. have been extensively applied in agriculture. This chapter …
Potato quality grading based on depth imaging and convolutional neural network
Q Su, N Kondo, DF Al Riza… - Journal of Food …, 2020 - Wiley Online Library
As a cost‐effective and nondestructive detection method, the machine vision technology has
been widely applied in the detection of potato defects. Recently, the depth camera which …
been widely applied in the detection of potato defects. Recently, the depth camera which …
Unsupervised adversarial deep domain adaptation method for potato defects classification
S Marino, P Beauseroy, A Smolarz - Computers and Electronics in …, 2020 - Elsevier
In the last few years, deep learning methods have been proposed to automate the quality
control of various agricultural products. Despite the excellent results obtained, one of their …
control of various agricultural products. Despite the excellent results obtained, one of their …
[PDF][PDF] Detection and Classification of Potato Diseases Potato Using a New Convolution Neural Network Architecture.
A Arshaghi, M Ashourin, L Ghabeli - Traitement du Signal, 2021 - researchgate.net
Accepted: 26 November 2021 Using machine vision and image processing as a non-
destructive and rapid method can play an important role in examining defects of agricultural …
destructive and rapid method can play an important role in examining defects of agricultural …
Microgrid management using hybrid inverter fuzzy-based control
Microgrid systems are becoming a very promising solution to meet the power demand
growth especially in remote areas where diesel generators (DG) are commonly used as a …
growth especially in remote areas where diesel generators (DG) are commonly used as a …