Results 81 to 90 of about 15,333 (299)

Accelerating Multiparametric Quantitative MRI Using Self‐Supervised Scan‐Specific Implicit Neural Representation With Model Reinforcement

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng   +3 more
wiley   +1 more source

Development of a New Post-Quantum Digital Signature Algorithm: Syrga-1

open access: yesComputers
The distinguishing feature of hash-based algorithms is their high confidence in security. When designing electronic signature schemes, proofs of security reduction to certain properties of cryptographic hash functions are used.
Kunbolat Algazy   +3 more
doaj   +1 more source

Multicollision attacks and generalized iterated hash functions

open access: yesJournal of Mathematical Cryptology, 2010
We apply combinatorics on words to develop an approach to multicollisions in generalized iterated hash functions. Our work is based on the discoveries of A. Joux and on generalizations provided by M. Nandi and D. Stinson as well as J. Hoch and A. Shamir.
Kortelainen Juha   +2 more
doaj   +1 more source

Enhancing Neural Stem Cell Proliferation Using Polyurethane/CNT Scaffolds Functionalized With Liposomal Hesperidin for Neural Tissue Engineering

open access: yesNano Select, EarlyView.
A multifunctional electrospun scaffold combining polyurethane, carbon nanotubes, and liposomal hesperidin supports neural stem cell survival, adhesion, and expansion. This platform enhances conductivity, mechanical strength, and hydrophilicity while mimicking the native neural environment.
Arman Abroumand Gholami   +8 more
wiley   +1 more source

Smart Waste, Smarter World: Exploring Waste Types, Trends, and Tech‐Driven Valorization Through Artificial Intelligence, Internet of Things, and Blockchain

open access: yesSustainable Development, EarlyView.
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye   +8 more
wiley   +1 more source

An Ecosystem to Develop Multi‐Agent Systems in Real‐World IoT Applications

open access: yesSoftware: Practice and Experience, EarlyView.
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

Converting Binary Floating‐Point Numbers to Shortest Decimal Strings: An Experimental Review

open access: yesSoftware: Practice and Experience, EarlyView.
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

A Stable Hash Function Based on Parity-Dependent Quantum Walks With Memory (August 2023)

open access: yesIEEE Transactions on Quantum Engineering
In this article, we develop a generic controlled alternate quantum walk model by combining parity-dependent quantum walks with distinct arbitrary memory lengths and propose a hash function (called QHFM-P) based on this model.
Qing Zhou   +3 more
doaj   +1 more source

Quantifying Structural Complexity, Effort, and Performance: An Early Experiment Using Network Design Tasks

open access: yesSystems Engineering, EarlyView.
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza   +3 more
wiley   +1 more source

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