Results 71 to 80 of about 7,483 (192)
Performance Evaluation of YOLO Models in Plant Disease Detection
Plant diseases significantly impact global agriculture, leading to substantial production losses and economic consequences. Timely disease detection can enhance crop yield, optimize resource utilization, reduce costs, and mitigate environmental effects ...
Usman Ali +3 more
doaj +1 more source
The graphical abstract illustrates a flower classification model relying on the human visual system. The model captures images, simulates visual attention and photometric perception, extracts features of shape and color, and classifies flowers by using an optimized neural network that enhances recognition accuracy by mimicking the human eye's focusing ...
Arpan Singh +2 more
wiley +1 more source
The study uses affine transformation, contrast enhancement, and mosaic masking for image enhancement and introduces the Convolutional NeXt module in YOLOv8 based on masked self‐encoder and response normalization, along with improvements to the convolutional block attention module.
Yu Lei, Zhihao Liang, Jiayun Huang
wiley +1 more source
YOLOv5s-BC: an improved YOLOv5s-based method for real-time apple detection
To address the issues associated with the existing algorithms for the current apple detection, this study proposes an improved YOLOv5s-based method, named YOLOv5s-BC, for real-time apple detection, in which a series of modifications have been introduced.
Jingfan Liu, Zhaobing Liu
openaire +2 more sources
Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud +6 more
wiley +1 more source
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye +8 more
wiley +1 more source
A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems
In the field of traffic surveillance systems, where effective traffic management and safety are the primary concerns, vehicle detection and tracking play an important role.
Nouf Abdullah Almujally +7 more
doaj +1 more source
Virtualization as a New Scaling Law for Semiconductor Devices Beyond Geometric Scaling
AI‐enabled semiconductor scaling law. Virtualization emerges as an AI‐enabled scaling law for semiconductors, where progress depends on replacing physical iteration with credible virtual evidence. Surrogate modeling accelerates design‐space exploration, digital twins virtualize process learning, and defect‐to‐reliability inference advances ...
Zeheng Wang +8 more
wiley +1 more source
AI‐Driven Deep Learning Framework for Detecting Subtle Surface Defects on Wind Turbine Blades
ABSTRACT Wind turbine blade surface defect detection is of great significance in ensuring the safety and operational efficiency of wind power systems. However, accurately detecting subtle and small‐scale defects remains challenging under complex imaging conditions.
Shoutu Li +5 more
wiley +1 more source
Continuous patient monitoring is a critical component in healthcare systems to ensure patient safety and well-being. Traditionally, this monitoring requires significant oversight by healthcare professionals, making it resourceintensive.
Kalashtari Niloofar +4 more
doaj +1 more source

