ASW-YOLO: Lightweight Gear Defect Detection with Improved YOLOv8n. [PDF]
Luo Z, Zheng B.
europepmc +1 more source
This review explores the application of machine learning‐based image analysis technology in four major organic crystallization tasks, providing a reference for subsequent research in the corresponding fields. ABSTRACT Manual crystallization experiments have always been challenging, requiring extensive process development expertise and often resulting ...
Tianqi Ma +8 more
wiley +1 more source
TDD-YOLO: A novel model for precise detection of tomato diseases. [PDF]
Chen Z +5 more
europepmc +1 more source
DepthPark is a cost‐effective indoor parking management system that uses monocular cameras, two fixed cameras, and one mobile camera per parking lane, together with deep learning. By combining license plate recognition, parking‐slot classification, and single‐frame depth estimation, the system enables real‐time occupancy monitoring and parking ...
Lakshay Naresh Ramchandani +1 more
wiley +1 more source
Diffusion-augmented YOLO26-Swin cascaded framework with hybrid SHAP-CAM for autonomous power grid inspection. [PDF]
Stefenon SF +4 more
europepmc +1 more source
DualPath‐DRNet: A Self‐Annotating Dual‐Path Networks for End‐To‐End Diabetic Retinopathy Diagnosis
DualPath‐DRNet for automated diabetic retinopathy diagnosis and grading. ABSTRACT One of the challenges in detecting Diabetic Retinopathy (DR) is the detection of subtle early‐stage microaneurysms. DualPath‐DRNet is an end‐to‐end deep learning pipeline for 5‐class DR prediction. The novelty of this method lies in combining lesion detection using YOLOv8,
Ankur Chaudhary +2 more
wiley +1 more source
KT-YOLO: A multi-convolution kernel collaboration model for dense Hu sheep behavior detection. [PDF]
Zhang S, Chang H, Wu Z, Wu G, Ji R.
europepmc +1 more source
A multi-class defect detection method for substations based on the improved YOLOv10n. [PDF]
Huang L +5 more
europepmc +1 more source
A Real‐Time Mobile AI‐Assisted System for Skin Disease Prescreening: A Technical Feasibility Study
ABSTRACT Background and Aims Skin diseases remain a widespread health concern, particularly in areas where access to dermatological care is limited. With the growing availability of smartphones and advances in deep learning, mobile‐based image analysis offers a practical option for early‐stage screening.
Utshob Sutradhar +4 more
wiley +1 more source
A Lightweight Real-Time Tomato Leaf Disease Detection System for Edge-Based Smart Agriculture. [PDF]
Zhao R +5 more
europepmc +1 more source

