A Lightweight Real-Time Tomato Leaf Disease Detection System for Edge-Based Smart Agriculture. [PDF]
Zhao R +5 more
europepmc +1 more source
Image Databases for Pollen Grain Classification: Availability, Quality, and Challenges
Overview of the study process, from identifying gaps in pollen image databases to a systematic search across six libraries, resulting in 73 final studies, 18 datasets (10 public), and a seven‐point standardization framework proposed under FAIR principles.
Heloise Acco Tives Bedin +4 more
wiley +1 more source
A Modular Vision System for Practical Object Detection on Resource-Constrained Humanoid Robots. [PDF]
Lau MC, Pottier N.
europepmc +1 more source
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos +1 more
wiley +1 more source
Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study. [PDF]
Liu Y, Song S, Lian S, Zhang X.
europepmc +1 more source
A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains
Transformer‐based unified cytology segmentation across Papanicolaou, Feulgen and AgNOR achieves stain‐invariant performance. Mask2Former maximises boundary precision (AP75) on the combined dataset, enabling one model to replace multiple stain‐specific deployments without accuracy loss while simplifying clinical integration.
Luís Otávio Santos +6 more
wiley +1 more source
Improving RGB image recognition in the YOLO11n algorithm for accurate detection of tea plant diseases. [PDF]
Tao J +10 more
europepmc +1 more source
Using Drones for Large Mammal Monitoring
Drones were used to obtain video data on animals and locations and distance from the midline was automatically determined by our pipeline so that the input for Distance sampling is generated. ABSTRACT Introduction The emergence of drones has profoundly transformed the field of large mammal monitoring, offering unprecedented capabilities for data ...
Chaim Chai Elchik +4 more
wiley +1 more source
An Automatic Detection Model of Defects in Pipelines in Complex Environments. [PDF]
Zheng S, Li Z.
europepmc +1 more source
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source

