Results 61 to 70 of about 6,422 (208)

Improving AI Explainability Through Design of Experiments

open access: yesJournal of Chemometrics, Volume 40, Issue 11, November 2026.
ABSTRACT In artificial intelligence (AI), the complexity of many models and processes surpasses human understanding, making it challenging to determine why a specific prediction is made. This lack of transparency is particularly problematic in critical fields like healthcare, where trust in a model's predictions is paramount.
Alexandra Stadler   +2 more
wiley   +1 more source

Learning Superpixel Relations for Supervised Image Segmentation

open access: yes, 2014
In this paper we propose to extend the well known graph cut segmentation framework by learning superpixel relations and use them to weight superpixel-to-superpixel edges in a superpixel graph.
Costantino Grana   +5 more
core   +1 more source

Improved Spatial-Spectral Superpixel Hyperspectral Unmixing

open access: yesRemote Sensing, 2019
In this paper, an unsupervised unmixing approach based on superpixel representation combined with regional partitioning is presented. A reduced-size image representation is obtained using superpixel segmentation where each superpixel is represented by ...
Mohammed Q. Alkhatib   +1 more
doaj   +1 more source

Integration of Refractive Microlenses on BP/MoS2 Photodiodes for Enhanced Infrared Photodetection

open access: yesSmall, Volume 22, Issue 61, 2 November 2026.
This study demonstrates the successful integration of black phosphorus/molybdenum disulfide infrared photodetectors with refractive microlenses to significantly enhance detection. The design achieves a 20‐fold photocurrent enhancement, enabling a room‐temperature detectivity of 1.83 × 109 cmHz1/2W−1, and demonstrates high‐resolution (1023 × 768) single‐
Varsha Ashwin Vedaraj   +11 more
wiley   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

open access: yesAdvanced Science, Volume 13, Issue 56, 9 October 2026.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source

Superpixel-driven level set tracking

open access: yes, 2012
In this paper, we propose a superpixel-driven method for level set tracking. In particular, by taking a superpixel-based speed function, the level set evolution is accelerated greatly.
Xi Li   +7 more
core   +1 more source

Superpixel-based saliency detection

open access: yes, 2013
International audienceIn this paper, we propose an effective superpixel-based saliency model. First, the original image is simplified by performing superpixel segmentation and adaptive color quantization.
Luo, Shuhua   +5 more
core   +1 more source

AI‐Enhanced System for Diabetic Foot Ulcer Localization and Classification Using Multi‐Scale Neural CNN Model

open access: yesHealth Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Diabetic foot ulcers (DFUs), which heal slowly because of inadequate blood supply, are among the serious infections and chronic foot problems that can result from diabetes mellitus (DM). The primary consequence of DFU, which can result in amputation if left untreated.
Md. Nur‐A‐Alam   +3 more
wiley   +1 more source

Near‐Infrared Polarimetric Imaging With Nonlinear Flat‐Optics

open access: yesLaser &Photonics Reviews, Volume 20, Issue 18, 18 September 2026.
ABSTRACT A compact and broadband polarimetric imaging platform is presented, based on second‐harmonic generation (SHG) in nonlinear flat‐optics. The system employs periodic all‐dielectric AlGaAs gratings to induce polarization‐dependent SH emission, enabling pixel by pixel direct retrieval of the full Stokes vector from an input intensity distribution ...
Evgenii Menshikov   +6 more
wiley   +1 more source

Early smoke detection of forest fires based on SVM image segmentation

open access: yesJournal of Forest Science, 2019
A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method
Ding Xiong, Lu Yan
doaj   +1 more source

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