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Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities
S Gupta, AK Tripathi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Fruits and vegetables are major sources of nutrients for the majority of the population across
the globe. With the rapid increase in population, the objectives of the future agro-industry are …
the globe. With the rapid increase in population, the objectives of the future agro-industry are …
Fruit ripeness identification using YOLOv8 model
Deep learning-based visual object detection is a fundamental aspect of computer vision.
These models not only locate and classify multiple objects within an image, but they also …
These models not only locate and classify multiple objects within an image, but they also …
[HTML][HTML] A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
Introduction Pneumonia is a microorganism infection that causes chronic inflammation of the
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
[HTML][HTML] DenseNet-201 and Xception pre-trained deep learning models for fruit recognition
With the dramatic increase of the global population and with food insecurity increasing, it
has become a major concern for both individuals and governments to fulfill the need for …
has become a major concern for both individuals and governments to fulfill the need for …
[HTML][HTML] Improved classification approach for fruits and vegetables freshness based on deep learning
Classification of fruit and vegetable freshness plays an essential role in the food industry.
Freshness is a fundamental measure of fruit and vegetable quality that directly affects the …
Freshness is a fundamental measure of fruit and vegetable quality that directly affects the …
[HTML][HTML] Wearable flexible electronics based cardiac electrode for researcher mental stress detection system using machine learning models on single lead …
In the modern world, wearable smart devices are continuously used to monitor people's
health. This study aims to develop an automatic mental stress detection system for …
health. This study aims to develop an automatic mental stress detection system for …
Vision based fruit recognition and positioning technology for harvesting robots
Y Yang, Y Han, S Li, Y Yang, M Zhang, H Li - Computers and Electronics in …, 2023 - Elsevier
Fruit harvesting robot operations in unstructured agricultural environments have been facing
both accuracy and speed challenges, and vision-based control plays an important role in …
both accuracy and speed challenges, and vision-based control plays an important role in …
RDE-YOLOv7: an improved model based on YOLOv7 for better performance in detecting dragon fruits
J Zhou, Y Zhang, J Wang - Agronomy, 2023 - mdpi.com
There is a great demand for dragon fruit in China and Southeast Asia. Manual picking of
dragon fruit requires a lot of labor. It is imperative to study the dragon fruit-picking robot. The …
dragon fruit requires a lot of labor. It is imperative to study the dragon fruit-picking robot. The …
Object detection and recognition techniques based on digital image processing and traditional machine learning for fruit and vegetable harvesting robots: An overview …
F **ao, H Wang, Y Li, Y Cao, X Lv, G Xu - Agronomy, 2023 - mdpi.com
The accuracy, speed, and robustness of object detection and recognition are directly related
to the harvesting efficiency, quality, and speed of fruit and vegetable harvesting robots. In …
to the harvesting efficiency, quality, and speed of fruit and vegetable harvesting robots. In …