Results 51 to 60 of about 1,137 (158)
Neural Textual Features Composition for CBIR
IEEE Access, 2023 Content Based Image Retrieval, CBIR, is a highly active leading research field with numerous applications that are currently expanding beyond traditional CBIR methodologies. This paper presents a novel CBIR methodology that addresses these growing demands. Query inputs of the proposed methodology are an image and a text.
Mohamed A. Aboali +2 more
openaire +2 more sources
Insolvency assistance outside the Model Law: Section 426 of the UK Insolvency Act 1986
International Insolvency Review, Volume 34, Issue 1, Page 31-47, Spring 2025.Abstract This article critically examines s426 Insolvency Act 1986 and its position in the UK’s Cross Border insolvency firmament. It traces the origins of s426 to a recommendation of the 1982 Cork Committee and notes that it replaced s122 Bankruptcy Act 1914 while giving the substantive provisions a more contemporary feel and modern gloss. The article
Gerard McCormack
wiley +1 more source
IET Image Processing, Volume 19, Issue 1, January/December 2025.We present a two‐tier deep learning framework for content‐based image retrieval, combining pixel‐level colour classification with image‐level classification and adaptive feature fusion. The system dynamically optimises structural and semantic similarity weights (alpha and beta) via neural prediction, achieving 0.87 0.99 precision across medical and ...
Aqeel M. Humadi +3 more
wiley +1 more source
Jurnal Matematika Integratif, 2013 Meningkatnya jumlah gambar digital yang tersimpan dalam media penyimpanan database dan kemampuan komputer untuk menyediakan kebutuhan informasi pengguna dengan cepat telah menjadi kebutuhan penting saat ini.
Juli Rejito
doaj +1 more source
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.With the exponential growth of multimedia content, visual sentiment classification has emerged as a significant research area. However, it poses unique challenges due to the complexity and subjective nature of the visual information. This can be attributed to the significant presence of semantically ambiguous images within the current benchmark ...
Israa K. Salman Al-Tameemi +4 more
wiley +1 more source
Multifeature Fusion for Enhanced Content‐Based Image Retrieval Across Diverse Data Types
Journal of Electrical and Computer Engineering, Volume 2025, Issue 1, 2025.There is a growing trend for using content‐based image retrieval (CBIR) systems these days because of the constantly growing interest in digital content. Therefore, the ability of the CBIR to perform the CBIR process will depend on the feature extraction process and its basis, for the retrieval will be done on.
Punit Soni +7 more
wiley +1 more source
SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis
Health Care Science, Volume 3, Issue 6, Page 438-455, December 2024.The research was meant to disentangle the difficulties of skin lesion diagnosis using a multimodal approach. Our suggested technique offers unparalleled levels of transparency and interpretability in skin lesion categorization and marks a substantial improvement in the area via methodical methodology and meticulous refining.
Geetika Munjal +4 more
wiley +1 more source
Desafios e avanços na recuperação automática da informação audiovisual
Ciência da Informação, 2008 Exposição sobre processos e métodos utilizados para a indexação e recuperação textual da informação semântica em vídeo, tendo como base a identificação e classificação do seu conteúdo visual e sonoro.
Juliano Serra Barreto
doaj
Novel CBIR system based on Ripplet Transform using interactive Neuro-Fuzzy technique
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2012 Content Based Image Retrieval (CBIR) system is an emerging research area in effective digital data management paradigm. In this article, a novel CBIR system based on a new Multiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is ...
Manish Chowdhury +2 more
doaj +1 more source
In Vivo Optogenetics Based on Heavy Metal‐Free Photon Upconversion Nanoparticles
Advanced Materials, Volume 36, Issue 46, November 14, 2024.In vivo, optogenetics using photon upconversion (TTA‐UC) based on triplet‐triplet annihilation is demonstrated. The modification of a thermally‐activated delayed fluorescence (TADF) sensitizer with a bromo group promotes intersystem crossing and enables high TTA‐UC efficiency at weak excitation light intensities even without using heavy metals.
Masanori Uji +8 more
wiley +1 more source