Results 41 to 50 of about 4,123 (220)

Insolvency‐related foreign judgements in Nigeria: Contextualising English legal influence and comparative analysis of the UNCITRAL regime

International Insolvency Review, Volume 35, Issue 1, Page 260-288, Spring 2026.
Abstract The United Nations Commission on International Trade Law (UNCITRAL) has produced the most robust international insolvency regime applicable to countries around the world. The Model Law on Cross‐Border Insolvency (1997) is widely accepted and already very popular among African countries.
Pontian N. Okoli
wiley   +1 more source

The application of user log for online business environment using content-based Image retrieval system

, 2006
Over the past few years, inter-query learning has gained much attention in the research and development of content-based image retrieval (CBIR) systems.
Li, J.B., Fung, C.C., Chun Che Fung, Chung, K.P., Jia Bin Li, Kien-ping Chung, Sandy Chong, Chong, S.   +7 more
core   +1 more source

Content-Based Image Retrieval Using Edge and Gradient Orientation Features of an Object in an Image From Database

Journal of Intelligent Systems, 2016
In this work, we present a combination of edge feature and distribution of the gradient orientation of an object technique for content-based image retrieval (CBIR). First, the bidimensional empirical mode decomposition (BEMD) technique is employed to get
Kavitha H., Sudhamani M.V.
doaj   +1 more source

Applying Intuitionistic Fuzzy Sets to Improve Fuzzy Content-based Image Retrieval Systems [PDF]

Journal of Artificial Intelligence and Data Mining
Visual features extracted from images in content-based image retrieval systems are inherently ambiguous. Consequently, applying fuzzy sets for image indexing in image retrieval systems has improved efficiency. In this article, the intuitionistic fuzzy sets
Monireh Azimi Hemat, Ezat Valipour, Laya Ali Ahmadipoor   +2 more
doaj   +1 more source

A Domain‐Specific Vision Foundation Model for Mars: Self‐Supervised Learning for Planetary‐Scale Science Discovery

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Planetary missions have produced a rapidly growing archive of high‐resolution imagery, yet only a small fraction has been examined in detail. Foundation models (FMs) offer a scalable path by learning transferable representations from unlabeled data, but most vision backbones are trained on Internet imagery or Earth observation data sets that ...
J. Fang, W. Luo, Q. Huang, L. Zhang, M. S. Phillips, V. D. R. Seethi, I. Giannakis   +6 more
wiley   +1 more source

A Comparative Study of Image Retrieval Algorithm in Medical Imaging

JOIV: International Journal on Informatics Visualization
In recent times, digital environments have become more complex, and the need for secure, efficient, and reliable identification systems is growing in demand. Consequently, image retrieval has emerged as a critical area focusing on artificial intelligence
Yang Muhammad Putra Abdullah, Suraya Abu Bakar, Wan Nural Jawahir Hj Wan Yussof, Raseeda Hamzah, Rahayu A Hamid, Deni Satria   +5 more
doaj   +1 more source

Classification on Unsupervised Deep Hashing With Pseudo Labels Using Support Vector Machine for Scalable Image Retrieval

Wasit Journal of Computer and Mathematics Science, 2023
The content-based image retrieval (CBIR) method operates on the low-level visual features of the user input query object, which makes it difficult for users to formulate the query and also does not provide adequate retrieval results.
Rohit Sharma, Bipin Rai, Shubham Sharma
doaj   +1 more source

Brain‐RetinaNet: Detection of Brain Tumour Using an Improved RetinaNet in Magnetic Resonance Imaging

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 223-237, February 2026.
ABSTRACT Brain tumours disrupt the normal functioning of the brain and, if left untreated, can invade surrounding tissues, blood vessels, and nerves, posing a severe threat. Consequently, early detection is crucial to prevent tragic outcomes. Distinguishing brain tumours through manual detection poses a significant challenge given their diverse ...
Rashid Iqbal, Rabbia Mahum, Mohamed Sharaf, Javed Ali Khan   +3 more
wiley   +1 more source

Mitigation Effect of Waste Glass Powders on Alkali–Silica Reaction (ASR) Expansion in Cementitious Composite

International Journal of Concrete Structures and Materials, 2018
The effects of different contents and particle sizes of waste glass powder on alkali–silica reaction (ASR) expansion of cementitious composite bar were investigated in this study.
Guojun Ke, Wengui Li, Ruyi Li, Yuelin Li, George Wang   +4 more
doaj   +1 more source

Hidden Tumour Visualization in Augmented Monocular Liver Laparoscopy

Healthcare Technology Letters, Volume 13, Issue 1, January/December 2026.
We have proposed a novel visualization method with three visualization variants for hidden tumours in liver laparoscopy. We propose a visualization that convinces users to see the tumour inside the organ and provides metric depth perception. ABSTRACT We address the hidden tumour visualization problem in augmented monocular liver laparoscopy.
Kirana Hanifati, Mohammad Alkhatib, Erol Ozgur, Emmanuel Buc, Bertrand Le Roy, Hestiasari Rante, Youcef Mezouar, Adrien Bartoli   +7 more
wiley   +1 more source