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[HTML][HTML] Optimizing tomato plant phenoty** detection: Boosting YOLOv8 architecture to tackle data complexity
Effective identification of tomato plant traits is crucial for timely monitoring and evaluating
their growth and harvest. However, conducting stress experiments on multiple tomato …
their growth and harvest. However, conducting stress experiments on multiple tomato …
Selecting and composing learning rate policies for deep neural networks
The choice of learning rate (LR) functions and policies has evolved from a simple fixed LR to
the decaying LR and the cyclic LR, aiming to improve the accuracy and reduce the training …
the decaying LR and the cyclic LR, aiming to improve the accuracy and reduce the training …
Rethinking learning rate tuning in the era of large language models
Large Language Models (LLMs) represent the recent success of deep learning in achieving
remarkable human-like predictive performance. It has become a mainstream strategy to …
remarkable human-like predictive performance. It has become a mainstream strategy to …
[HTML][HTML] AI-Powered Cow Detection in Complex Farm Environments
Animal welfare has become a critical issue in contemporary society, emphasizing our ethical
responsibilities toward animals, particularly within livestock farming. In addition, the advent …
responsibilities toward animals, particularly within livestock farming. In addition, the advent …
Chlorophyll a predictions in a Piedmont Lake in Upstate South Carolina using machine-learning approaches
Freshwater systems are often breeding grounds for harmful algal blooms (HABs), although
they are more dominant in ponds and lakes due to the prevailing conditions in those bodies …
they are more dominant in ponds and lakes due to the prevailing conditions in those bodies …
A survey: evolutionary deep learning
Deep learning (DL) has made remarkable progress on various real-world tasks, but its
construction pipeline strongly relies on human scientists. Furthermore, evolutionary …
construction pipeline strongly relies on human scientists. Furthermore, evolutionary …
Evolving intelligence: Overcoming challenges for Evolutionary Deep Learning
MG Altarabichi - 2024 - diva-portal.org
Deep Learning (DL) has achieved remarkable results in both academic and industrial fields
over the last few years. However, DL models are often hard to design and require proper …
over the last few years. However, DL models are often hard to design and require proper …
Evolving adaptive neural network optimizers for image classification
The evolution of hardware has enabled Artificial Neural Networks to become a staple
solution to many modern Artificial Intelligence problems such as natural language …
solution to many modern Artificial Intelligence problems such as natural language …
Evolving learning rate optimizers for deep neural networks
P Carvalho, N Lourenço, P Machado - ar** world. This is primarily because of …