Results 191 to 200 of about 26,920 (307)
Unsupervised Deep Cross-Modal Hashing Retrieval with Multiple Dense Networks
, 2023 Bo Li, Dan Yao, Zhixin Li
openalex +1 more source
An Ecosystem to Develop Multi‐Agent Systems in Real‐World IoT Applications
Software: Practice and Experience, Volume 56, Issue 4, Page 339-356, April 2026.ABSTRACT Software agents and multi‐agent systems are critical components in the development of distributed autonomous systems, as they exhibit a wide range of “intelligence,” from reactive behaviors to advanced reasoning and planning. Integrating these capabilities into multi‐agent systems enables distributed artificial intelligence, a programming ...
Davide Carnemolla +3 more
wiley +1 more source
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing [PDF]
Shu Zhao +4 more
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Converting Binary Floating‐Point Numbers to Shortest Decimal Strings: An Experimental Review
Software: Practice and Experience, Volume 56, Issue 4, Page 462-478, April 2026.ABSTRACT Background When sharing or logging numerical data, we must convert binary floating‐point numbers into their decimal string representations. For example, the number π might become 3.1415927. Engineers have perfected many algorithms for producing such accurate, short strings.
Jaël Champagne Gareau, Daniel Lemire
wiley +1 more source
Deep Relevance Hashing for Remote Sensing Image Retrieval. [PDF]
Sensors (Basel)Liu X, Chen X, Zhu G.
europepmc +1 more source
FocoNet: Transformer‐Based Focal‐Mechanism Determination
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Traditional focal‐mechanism determination primarily relies on fitting the first‐motion polarities with grid‐search algorithms. We developed a machine‐learning model, FocoNet, to include more seismic information into focal mechanism determination.
Xiaohan Song +3 more
wiley +1 more source
Data security storage and transmission framework for AI computing power platforms. [PDF]
Sci RepChen J +5 more
europepmc +1 more source
A novel deep high-level concept-mining jointing hashing model for unsupervised cross-modal retrieval
Chun-Ru Dong +4 more
openalex +1 more source
Deep Center Supervised Hash for Fast Image Retrieval
, 2017 Mingmu Chen +4 more
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Journal of Advanced Nursing, Volume 82, Issue 4, Page 3752-3766, April 2026.ABSTRACT Aim The aim of this study was to explore the digital health technology readiness of nurses, nursing students, nurse‐academics, and nurses in leadership roles. Workforce digital readiness impacts the adoption of digital health technologies and quality and safety outcomes. This study sought to identify key factors affecting nurses' readiness for
Gordana Dermody +6 more
wiley +1 more source