Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs

Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs

The world's population is growing steadily, but already more than 1.5 billion people are experiencing acute food shortages. Oilseeds, such as sunflower, are important sources of vegetable fat and contain large amounts of calories, amino acids, vitamin D, minerals and antioxidants, making them e...

Сохранить в:

书目详细资料
Главные авторы:	Baboshina, V. A., Бабошина, В. А., Lyakhov, P. A., Ляхов, П. А.
格式:	Статья
语言:	English
出版:	Springer Science and Business Media Deutschland GmbH 2024
主题:	Deep neural network Visual transformer Sunflower diseases Patch recognition Ensemble neural network
在线阅读:	https://dspace.ncfu.ru/handle/123456789/29157
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Bidirectional Encoder representation from Image Transformers for recognizing sunflower diseases from photographs
由: Baboshina, V. A., и др.
出版: (2025)

Multimodal ensemble neural network system for skin cancer detection on heterogeneous dermatological data
由: Lyakhova, U. A., и др.
出版: (2024)

Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise
由: Orazaev, A. R., и др.
出版: (2023)

Neural network recognition system for video transmitted through a binary symmetric channel
由: Baboshina, V. A., и др.
出版: (2024)

Detection of attention state in children with autism spectrum disorder based on neural network classification of electroencephalograms
由: Lyakhov, P. A., и др.
出版: (2025)

Neural network technologies in economics study aid
由: Kovalenko, A. V.

Analysis of an Existing Method for Detecting Adversarial Attacks on Deep Neural Networks
由: Lapina, M. A., и др.
出版: (2024)

Hardware and software implementation of neural network control of power systems based on the system of residual classes
由: Tikhonov, E. E., и др.
出版: (2020)

Machine Learning Research Methods for Identifying Inaccurate Content
由: Lapina, M. A., и др.
出版: (2025)

Development of forecasting theory and methods for developing forecasts in electroenergetics
由: Tikhonov, E. E., и др.
出版: (2021)

Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
由: Lutsenko, V. V., и др.
出版: (2024)

Development of prognostic neural network models based on non-positional coding for automatic control systems
由: Tikhonov, E. E., и др.
出版: (2019)

Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks
由: Bezuglova, E. S., и др.
出版: (2024)

The Possibilities of Using Neural Networks in Literature Lessons at School
由: Murashko, E. I., и др.
出版: (2024)

Multirecurrent Neural Network in Discrete Form
由: Shaposhnikov, A. V., и др.
出版: (2024)

Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
由: Fedina, A. D., и др.
出版: (2024)

Physics-informed neural network model using natural gradient descent with Dirichlet distribution
由: Abdulkadirov, R. I., и др.
出版: (2025)

Perceptions of Neural Network Use in Higher Education: Case Study
由: Yesayan, M. L., и др.
出版: (2025)

An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods
由: Shiriaev, E. M., и др.
出版: (2024)

Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions
由: Babenko, M. G., и др.
出版: (2024)

Artificial Intelligence in Education and Training
由: Sidin, M. G., и др.
出版: (2025)

Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
由: Lutsenko, V. V., и др.
出版: (2024)

Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers
由: Abdulkadirov, R. I., и др.
出版: (2025)

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks
由: Lapina, M. A., и др.
出版: (2024)

Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent
由: Abdulkadirov, R. I., и др.
出版: (2024)

Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
由: Valuev, G. V., и др.
出版: (2024)

Physics-Aware Machine Learning Approach for High-Precision Quadcopter Dynamics Modeling
由: Abdulkadirov, R. I., и др.
出版: (2025)

Методы и модели исследования сложных систем и обработки больших данных монография
由: Парамонов И. Ю.
出版: (2020)

Методы и модели исследования сложных систем и обработки больших данных монография
由: Парамонов И. Ю.
出版: (2024)

Implementation of CMAC neural network control systems in residue number system
由: Koldaev, A. I., и др.
出版: (2020)

Methodology and Technology of Using Neural Networks in Agriculture
由: Mikhailov, G. G., и др.
出版: (2024)

Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers
由: Lyakhov, P. A., и др.
出版: (2025)

Main hereditary diseases and anomalies in farm animals study aid
由: Maksimov, G. V.

Application of Information Technologies in the Development and Implementation of Educational Programmes in the Field of Media Communications
由: Ezhova, E. N., и др.
出版: (2025)

Data Control in Distributed Self-organizing Sensor Network Under Speciffic Deployment Condition
由: Lapina, M. A., и др.
出版: (2024)

Online Teaching of Students of Pedagogical Courses by Teachers from Abroad
由: Konopko, E. A., и др.
出版: (2025)

Propaedeutics of internal diseases: methods of examination of the patient textbook

Методы инспекции пакетов и анализа трафика. Технология Deep Packet Inspection учебно-методическое пособие
由: Гольдштейн Б. С.
出版: (2018)

Big Data study aid
由: Cheremukhin, A. D.

Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis
由: Govorova, S. V., и др.
出版: (2024)