Scene parsing using fully convolutional network for semantic segmentation
When it comes to computer vision, scene parsing is a crucial part of semantic segmentation.
It has a wide range of applications, including autonomous driving, robotics, gaming, natural …
It has a wide range of applications, including autonomous driving, robotics, gaming, natural …
American sign language character recognition using convolutional neural networks
This study presents a convolutional neural network (CNN) architecture developed using the
TensorFlow framework to accurately recognize individual letters of American Sign Language …
TensorFlow framework to accurately recognize individual letters of American Sign Language …
Classification of parkinson disease with feature selection using genetic algorithm
Parkinson's disease is a complex neurological disorder that affects various neural,
behavioural, and physiological systems. To provide optimal treatment and improve patient …
behavioural, and physiological systems. To provide optimal treatment and improve patient …
LodgeNet: an automated framework for precise detection and classification of wheat lodging severity levels in precision farming
Wheat lodging is a serious problem affecting grain yield, plant health, and grain quality.
Addressing the lodging issue in wheat is a desirable task in breeding programs. Precise …
Addressing the lodging issue in wheat is a desirable task in breeding programs. Precise …
From fields to pixels: Uav multispectral and field-captured rgb imaging for high-throughput wheat spike and kernel counting
Wheat breeding enhances wheat crops for better environmental resistance and higher yield
potential. Experimental breeding lines are evaluated based on their yield potential, where …
potential. Experimental breeding lines are evaluated based on their yield potential, where …
Field Scale Precision: Predicting Grain Yield of Diverse Wheat Breeding Lines Using High-Throughput UAV Multispectral Imaging
This study explored how to use UAV-based multi-spectral imaging, a plot detection model,
and machine learning (ML) algorithms to predict wheat grain yield at the field scale …
and machine learning (ML) algorithms to predict wheat grain yield at the field scale …
[PDF][PDF] Performance analysis of a two-level polling control system based on LSTM and attention mechanism for wireless sensor networks
Z Yang, W Huang, H Ding, Z Guan… - Mathematical …, 2023 - aimspress.com
A continuous-time exhaustive-limited (K= 2) two-level polling control system is proposed to
address the needs of increasing network scale, service volume and network performance …
address the needs of increasing network scale, service volume and network performance …