DCGAN-based data augmentation for tomato leaf disease identification

Q Wu, Y Chen, J Meng - IEEE access, 2020 - ieeexplore.ieee.org
Tomato leaf disease seriously affects the yield of tomato. It is extremely vital for agricultural
economy to identify agricultural diseases. The traditional data augmentation methods, such …

Plant leaf disease recognition using fastai image classification

A Chakraborty, D Kumer… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Agricultural productivity has a vital role in the Indian economy, but it is seriously hampered
by pests and plant diseases. Neural networks have been a major step forward in solving this …

[PDF][PDF] Fish species recognition using VGG16 deep convolutional neural network

P Hridayami, IKGD Putra, KS Wibawa - Journal of Computing Science …, 2019 - jcse.kiise.org
Conservation and protection of fish species is very important in aquaculture and marine
biology. A few studies have introduced the concept of fish recognition; however, it resulted in …

Diagnosis of Parkinson's disease using deep CNN with transfer learning and data augmentation

S Kaur, H Aggarwal, R Rani - Multimedia Tools and Applications, 2021 - Springer
Parkinson's disease (PD) is one of the main types of neurological disorders affected by
progressive brain degeneration. Early detection and prior care may help patients to improve …

A vision-based method for lap weld defects monitoring of galvanized steel sheets using convolutional neural network

G Ma, L Yu, H Yuan, W Xiao, Y He - Journal of Manufacturing Processes, 2021 - Elsevier
Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet,
resulting in the formation of defects. The present study develops a novel method for …

Mitigating the risks of malware attacks with deep Learning techniques

AM Alnajim, S Habib, M Islam, R Albelaihi… - Electronics, 2023 - mdpi.com
Malware has become increasingly prevalent in recent years, endangering people,
businesses, and digital assets worldwide. Despite the numerous techniques and …

[PDF][PDF] Malware classification with improved convolutional neural network model

SS Lad, AC Adamuthe - International Journal of Computer Network …, 2020 - academia.edu
Malware is a threat to people in the cyber world. It steals personal information and harms
computer systems. Various developers and information security specialists around the globe …

Deep transfer learning models for tomato disease detection

M Ouhami, Y Es-Saady, ME Hajji, A Hafiane… - Image and Signal …, 2020 - Springer
Vegetable crops in Morocco and especially in the Sous-Massa region are exposed to
parasitic diseases and pest attacks which affect the quantity and the quality of agricultural …

The evaluation of the grade of leaf disease in apple trees based on PCA-logistic regression analysis

B Xing, D Wang, T Yin - Forests, 2023 - mdpi.com
Extensive research suggested that the core of how to use pesticides scientifically is the
careful and accurate determination of the severity of crop diseases. The existing grading …

Identifying the species of harvested tuna and billfish using deep convolutional neural networks

YC Lu, C Tung, YF Kuo - ICES Journal of Marine Science, 2020 - academic.oup.com
Fish catch species provide essential information for marine resource management. Some
international organizations demand fishing vessels to report the species statistics of fish …