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...

Uloženo v:

Podrobná bibliografie
Hlavní autoři:	Baboshina, V. A., Бабошина, В. А., Lyakhov, P. A., Ляхов, П. А.
Médium:	Статья
Jazyk:	English
Vydáno:	Springer Science and Business Media Deutschland GmbH 2024
Témata:	Deep neural network Visual transformer Sunflower diseases Patch recognition Ensemble neural network
On-line přístup:	https://dspace.ncfu.ru/handle/123456789/29157
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky

Bidirectional Encoder representation from Image Transformers for recognizing sunflower diseases from photographs
Autor: Baboshina, V. A., a další
Vydáno: (2025)

Multimodal ensemble neural network system for skin cancer detection on heterogeneous dermatological data
Autor: Lyakhova, U. A., a další
Vydáno: (2024)

Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise
Autor: Orazaev, A. R., a další
Vydáno: (2023)

Neural network recognition system for video transmitted through a binary symmetric channel
Autor: Baboshina, V. A., a další
Vydáno: (2024)

Detection of attention state in children with autism spectrum disorder based on neural network classification of electroencephalograms
Autor: Lyakhov, P. A., a další
Vydáno: (2025)

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

Analysis of an Existing Method for Detecting Adversarial Attacks on Deep Neural Networks
Autor: Lapina, M. A., a další
Vydáno: (2024)

Hardware and software implementation of neural network control of power systems based on the system of residual classes
Autor: Tikhonov, E. E., a další
Vydáno: (2020)

Machine Learning Research Methods for Identifying Inaccurate Content
Autor: Lapina, M. A., a další
Vydáno: (2025)

Development of forecasting theory and methods for developing forecasts in electroenergetics
Autor: Tikhonov, E. E., a další
Vydáno: (2021)

Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
Autor: Lutsenko, V. V., a další
Vydáno: (2024)

Development of prognostic neural network models based on non-positional coding for automatic control systems
Autor: Tikhonov, E. E., a další
Vydáno: (2019)

Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks
Autor: Bezuglova, E. S., a další
Vydáno: (2024)

The Possibilities of Using Neural Networks in Literature Lessons at School
Autor: Murashko, E. I., a další
Vydáno: (2024)

Multirecurrent Neural Network in Discrete Form
Autor: Shaposhnikov, A. V., a další
Vydáno: (2024)

Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
Autor: Fedina, A. D., a další
Vydáno: (2024)

Physics-informed neural network model using natural gradient descent with Dirichlet distribution
Autor: Abdulkadirov, R. I., a další
Vydáno: (2025)

Perceptions of Neural Network Use in Higher Education: Case Study
Autor: Yesayan, M. L., a další
Vydáno: (2025)

An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods
Autor: Shiriaev, E. M., a další
Vydáno: (2024)

Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions
Autor: Babenko, M. G., a další
Vydáno: (2024)

Artificial Intelligence in Education and Training
Autor: Sidin, M. G., a další
Vydáno: (2025)

Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
Autor: Lutsenko, V. V., a další
Vydáno: (2024)

Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers
Autor: Abdulkadirov, R. I., a další
Vydáno: (2025)

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks
Autor: Lapina, M. A., a další
Vydáno: (2024)

Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent
Autor: Abdulkadirov, R. I., a další
Vydáno: (2024)

Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
Autor: Valuev, G. V., a další
Vydáno: (2024)

Physics-Aware Machine Learning Approach for High-Precision Quadcopter Dynamics Modeling
Autor: Abdulkadirov, R. I., a další
Vydáno: (2025)

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

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

Implementation of CMAC neural network control systems in residue number system
Autor: Koldaev, A. I., a další
Vydáno: (2020)

Methodology and Technology of Using Neural Networks in Agriculture
Autor: Mikhailov, G. G., a další
Vydáno: (2024)

Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers
Autor: Lyakhov, P. A., a další
Vydáno: (2025)

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

Application of Information Technologies in the Development and Implementation of Educational Programmes in the Field of Media Communications
Autor: Ezhova, E. N., a další
Vydáno: (2025)

Data Control in Distributed Self-organizing Sensor Network Under Speciffic Deployment Condition
Autor: Lapina, M. A., a další
Vydáno: (2024)

Online Teaching of Students of Pedagogical Courses by Teachers from Abroad
Autor: Konopko, E. A., a další
Vydáno: (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
Autor: Гольдштейн Б. С.
Vydáno: (2018)

Big Data study aid
Autor: 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
Autor: Govorova, S. V., a další
Vydáno: (2024)