Results 161 to 170 of about 19,743 (267)

Image Databases for Pollen Grain Classification: Availability, Quality, and Challenges

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
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

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
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

A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains

open access: yesCytopathology, Volume 37, Issue 5, Page 493-502, September 2026.
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]

open access: yesJ Zhejiang Univ Sci B
Tao J   +10 more
europepmc   +1 more source

Using Drones for Large Mammal Monitoring

open access: yesMammal Review, Volume 56, Issue 3, September 2026.
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

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
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

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