Deep learning in diverse intelligent sensor based systems
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …
virtually all fields of science and engineering. The increasing complexity and the large …
Toward an intelligent blockchain ioT-enabled fish supply chain: A review and conceptual framework
The fish industry experiences substantial illegal, unreported, and unregulated (IUU)
activities within traditional supply chain systems. Blockchain technology and the Internet of …
activities within traditional supply chain systems. Blockchain technology and the Internet of …
The application of deep learning for the segmentation and classification of coronary arteries
In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data
Identification and segregation of citrus fruit with diseases and peel blemishes are required to
preserve market value. Previously developed machine vision approaches could only …
preserve market value. Previously developed machine vision approaches could only …
[HTML][HTML] ResNet and Yolov5-enabled non-invasive meat identification for high-accuracy box label verification
Compliance issues riddle the agricultural sector despite being an essential industry for the
human race. Many factors contribute to compliance issues; however, meat cut label …
human race. Many factors contribute to compliance issues; however, meat cut label …
Principles and applications of convolutional neural network for spectral analysis in food quality evaluation: A review
N Luo, D Xu, B Xing, X Yang, C Sun - Journal of Food Composition and …, 2024 - Elsevier
The spectroscopic technologies have been successfully applied to food quality evaluation
owing to their abilities of wavelengths being sensitive to biological components of food, and …
owing to their abilities of wavelengths being sensitive to biological components of food, and …
Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria
M Hussain, J Zou, H Zhang, R Zhang, Z Chen, Y Tang - Biosensors, 2022 - mdpi.com
Detection of foodborne pathogens at an early stage is very important to control food quality
and improve medical response. Rapid detection of foodborne pathogens with high …
and improve medical response. Rapid detection of foodborne pathogens with high …
[HTML][HTML] Memory‐augmented neural networks based dynamic complex image segmentation in digital twins for self‐driving vehicle
Z Lv, L Qiao, S Yang, J Li, H Lv, F Piccialli - Pattern Recognition, 2022 - Elsevier
With the continuous increase of the amount of information, people urgently need to identify
the information in the image in more detail in order to obtain richer information from the …
the information in the image in more detail in order to obtain richer information from the …
Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in Food Services
Precise, reliable, and speedy contamination detection and disinfection is an ongoing
challenge for the food-service industry. Contamination in food-related services can cause …
challenge for the food-service industry. Contamination in food-related services can cause …
Deep Learning Methods for Tracking the Locomotion of Individual Chickens
Simple Summary Poultry locomotion is an important indicator of animal health, welfare, and
productivity. This research introduced an innovative approach that employs an enhanced …
productivity. This research introduced an innovative approach that employs an enhanced …