Early detection of Potato Disease using an enhanced convolutional neural network-long short-term memory Deep Learning Model
Potato diseases pose a significant threat to farmers, impacting potato crops' productivity,
quality, and financial stability. Among the most notorious diseases is late blight, caused by …
quality, and financial stability. Among the most notorious diseases is late blight, caused by …
Predicting normalized difference vegetation index using a deep attention network with bidirectional GRU: a hybrid parametric optimization approach
Scalable and accurate normalized difference vegetation index (NDVI) prediction is
necessary to track the status of vegetation and the environment and to support proper …
necessary to track the status of vegetation and the environment and to support proper …
Optimizing potato disease classification using a metaheuristics algorithm for deep learning: A novel approach for sustainable agriculture
Potato is a food crop at a global scale, bearing a hefty importance for the food security and
nutrition of millions of people worldwide. Nonetheless, some obstacles have to be overcome …
nutrition of millions of people worldwide. Nonetheless, some obstacles have to be overcome …
[PDF][PDF] Metaheuristic optimization for enhancing cyber security index prediction: a DTO+ FGW approach with MLP integration
In the realm of cybersecurity, the evaluation and enhancement of cyber resilience are
paramount to safeguarding nations and organizations against evolving digital threats. This …
paramount to safeguarding nations and organizations against evolving digital threats. This …
Rainfall classification and forecasting based on a novel voting adaptive dynamic optimization algorithm
Environmental issues of rainfall are basic in terms of understanding and management of
ecosystems and natural resources. The rainfall patterns significantly affect soil moisture …
ecosystems and natural resources. The rainfall patterns significantly affect soil moisture …
[HTML][HTML] Optimizing IoT-driven smart grid stability prediction with dipper throated optimization algorithm for gradient boosting hyperparameters
With the surge in global population and economic expansion, there's been a marked
increase in electricity demand. This necessitates the efficient distribution of electricity to both …
increase in electricity demand. This necessitates the efficient distribution of electricity to both …
Air pollution prediction using blind source separation with Greylag Goose Optimization algorithm
Particularly, environmental pollution, such as air pollution, is still a significant issue of
concern all over the world and thus requires the identification of good models for prediction …
concern all over the world and thus requires the identification of good models for prediction …
Optimizing electric vehicle paths to charging stations using parallel greylag goose algorithm and Restricted Boltzmann Machines
As the number of individuals who drive electric vehicles increases, it is becoming
increasingly important to ensure that charging infrastructure is both dependable and …
increasingly important to ensure that charging infrastructure is both dependable and …
Global Potato Production Forecasting Based on Time Series Analysis and Advanced Waterwheel Plant Optimization Algorithm
The cultivation of potatoes is one of the most important parts of the world's agricultural
system, so forecasting methods that can precisely predict the direction of production are …
system, so forecasting methods that can precisely predict the direction of production are …
Enhancing Decision-Making in Highway Overtaking Scenarios with Graph Convolution Reinforcement Learning
MK Sam, W Gee, S Arkhstan, H Khan… - Journal of Computer …, 2024 - jcsis.org
Autonomous vehicles have a number of open challenges, one of which is decision-making
regarding motion, particularly while operating in an environment that is both complex and …
regarding motion, particularly while operating in an environment that is both complex and …