A Review of Yolo algorithm developments

P Jiang, D Ergu, F Liu, Y Cai, B Ma - Procedia computer science, 2022 - Elsevier
Object detection techniques are the foundation for the artificial intelligence field. This
research paper gives a brief overview of the You Only Look Once (YOLO) algorithm and its …

Storytelling with image data: A systematic review and comparative analysis of methods and tools

F Lotfi, A Beheshti, H Farhood, M Pooshideh… - Algorithms, 2023 - mdpi.com
In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …

Rice seedling detection in UAV images using transfer learning and machine learning

HH Tseng, MD Yang, R Saminathan, YC Hsu… - Remote Sensing, 2022 - mdpi.com
To meet demand for agriculture products, researchers have recently focused on precision
agriculture to increase crop production with less input. Crop detection based on computer …

An accurate and fast animal species detection system for embedded devices

M Ibraheam, KF Li, F Gebali - IEEE Access, 2023 - ieeexplore.ieee.org
Encounters between humans and wildlife often lead to injuries, especially in remote
wilderness regions, and highways. Therefore, animal detection is a vital safety and wildlife …

A novel directional object detection method for piled objects using a hybrid region-based convolutional neural network

MC Chiu, HY Tsai, JE Chiu - Advanced Engineering Informatics, 2022 - Elsevier
Digital transformation is an information technology (IT) process that integrates digital
information with operating processes. Its introduction to the workplace can promote the …

[Retracted] A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique

TB Kumar, D Prashar, G Vaidya, V Kumar… - Journal of Food …, 2022 - Wiley Online Library
Due to a lack of efficient measures for dealing with food waste at many levels, including food
supply chains, homes, and restaurants, the world's food supply is shrinking at an alarming …

A tomato disease identification method based on leaf image automatic labeling algorithm and improved YOLOv5 model

J Jing, S Li, C Qiao, K Li, X Zhu… - Journal of the Science of …, 2023 - Wiley Online Library
BACKGROUND Tomato is one of the most important vegetables in the world. Timely and
accurate identification of tomato disease is a critical way to ensure the quality and yield of …

Deep learning-based oyster packaging system

R Zhang, X Chen, Z Wan, M Wang, X Xiao - Applied Sciences, 2023 - mdpi.com
With the deepening understanding of the nutritional value of oysters by consumers, oysters
as high-quality seafood are gradually entering the market. Raw edible oyster production …

Iot solutions and ai-based frameworks for masked-face and face recognition to fight the COVID-19 pandemic

J Al-Nabulsi, N Turab, HA Owida, B Al-Naami… - Sensors, 2023 - mdpi.com
A global health emergency resulted from the COVID-19 epidemic. Image recognition
techniques are a useful tool for limiting the spread of the pandemic; indeed, the World …

Operator training framework for hybrid environments: An augmented reality module using machine learning object recognition

G Apostolopoulos, D Andronas, N Fourtakas, S Makris - Procedia CIRP, 2022 - Elsevier
As market demands are characterized by more customized products with shorter lifecycles, it
is obligatory for modern operators to manage recurrent product or manufacturing system …