Certifiable artificial intelligence through data fusion
This paper reviews and proposes concerns in adopting, fielding, and maintaining artificial
intelligence (AI) systems. While the AI community has made rapid progress, there are …
intelligence (AI) systems. While the AI community has made rapid progress, there are …
Recognition of wheat spike from field based phenotype platform using multi-sensor fusion and improved maximum entropy segmentation algorithms
To obtain an accurate count of wheat spikes, which is crucial for estimating yield, this paper
proposes a new algorithm that uses computer vision to achieve this goal from an image …
proposes a new algorithm that uses computer vision to achieve this goal from an image …
Classification of corn diseases using random forest, neural network, and naive bayes methods
Corn is one of the staple foods consumed by many people after rice plants, especially in
Indonesia. High consumer demand requires corn production in large quantities to meet …
Indonesia. High consumer demand requires corn production in large quantities to meet …
Analysis of factors contributing to the injury severity of overloaded-truck-related crashes on mountainous highways in China
H Wen, Y Du, Z Chen, S Zhao - International journal of environmental …, 2022 - mdpi.com
Overloaded transport can certainly improve transportation efficiency and reduce operating
costs. Nevertheless, several negative consequences are associated with this illegal activity …
costs. Nevertheless, several negative consequences are associated with this illegal activity …
A framework based on nesting of convolutional neural networks to classify secondary roads in high resolution aerial orthoimages
Remote sensing imagery combined with deep learning strategies is often regarded as an
ideal solution for interpreting scenes and monitoring infrastructures with remarkable …
ideal solution for interpreting scenes and monitoring infrastructures with remarkable …
The powerful use of AI in the energy sector: Intelligent forecasting
Artificial Intelligence (AI) techniques continue to broaden across governmental and public
sectors, such as power and energy-which serve as critical infrastructures for most societal …
sectors, such as power and energy-which serve as critical infrastructures for most societal …
LSTM-Autoencoder Based Anomaly Detection Using Vibration Data of Wind Turbines
Y Lee, C Park, N Kim, J Ahn, J Jeong - Sensors, 2024 - mdpi.com
The problem of energy depletion has brought wind energy under consideration to replace oil-
or chemical-based energy. However, the breakdown of wind turbines is a major concern …
or chemical-based energy. However, the breakdown of wind turbines is a major concern …
[HTML][HTML] An explainable artificial intelligence model for multiple lung diseases classification from chest X-ray images using fine-tuned transfer learning
Traditional deep learning models are often considered “black boxes” due to their lack of
interpretability, which limits their therapeutic use despite their success in classification tasks …
interpretability, which limits their therapeutic use despite their success in classification tasks …
Virtual network function service chaining anomaly detection
Network function virtualization (NFV) and virtual network function (VNF) service chaining are
receiving a significant attention from both academic and industry. However, most of …
receiving a significant attention from both academic and industry. However, most of …
Edge-preserve filter image enhancement with application to medical image fusion
W Li, Z Zhao, J Du, Y Wang - Journal of Medical Imaging and …, 2017 - ingentaconnect.com
Medical image fusion is the process of integrating two or more medical images with a single
or multiple imaging modalities, to attain a result image richer in information to aid medical …
or multiple imaging modalities, to attain a result image richer in information to aid medical …