Results 111 to 120 of about 24,567,669 (278)

Residue number system for low-power DSP applications

, 2007
In previous works ([1]-[8]) we performed different experiments implementing FIR filtering structures. Each filter was implemented using both the Two's Complement System (TCS) and the Residue Number System (RNS) number representations.
Nannarelli A., Cardarilli G. C., Re M.
core   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Residue Number System Based Multiple Code DS-CDMA Schemes

, 1999
A novel multi-code direct-sequence code division multiple-access (DS-CDMA) system based on the so-called residue number system (RNS) or the redundant residue number system (RRNS) is proposed. Concatenated codes employing RNS product codes (RNS-PC) as the
Yang, L-L., Hanzo, L.
core   +1 more source

Montgomery reduction within the context of residue number system arithmetic

, 2017
International audienceThis paper is a survey of Montgomery reduction in the context of residue number system arithmetic. We present the main variants of RNS Montgomery reduction, some efficient embedded hardware implementations, applications in ...
Merkiche, Nabil, Bajard, Jean-Claude, Julien Eynard, Nabil Merkiche, Eynard, Julien, Jean-Claude Bajard   +5 more
core   +1 more source

DEVELOPMENT OF THE RESIDUE NUMBER SYSTEM-BASESIXTY-FOUR (RNS-B64) ENCRYPTION ALGORITHM FOR SECURE DATA TRANSMISSION

international journal of advanced research in computer science
: Over the years, the Base64 cryptographic algorithm has been a crucial component of information security employed in various security protocols and applications including digital signature schemes, random number generation and Message Authentication Codes, to guarantee data integrity and authenticate the origin of data.
openaire   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

Chlorination‐Driven BODIPY Fluorescent Probes for the Selective Monitoring of Myeloperoxidase Activity in Cells and Inflamed Mouse Models

Angewandte Chemie, EarlyView.
A meso‐carboxamide‐substituted BODIPY fluorescent probe reports myeloperoxidase (MPO) activity via electrophilic chlorination by MPO‐derived HOCl, generating a highly emissive chlorinated product with a ca. 40 nm bathochromic shift. Applications in quantitative MPO assays, cellular imaging of MPO‐derived HOCl, redox‐dependent discrimination of cancer ...
Siyoung Cho, Yongyang Luo, Jeehyeon Bae, Youngmi Kim   +3 more
wiley   +2 more sources

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Mitochondrial stress in advanced fibrosis and cirrhosis associated with chronic hepatitis B, chronic hepatitis C, or nonalcoholic steatohepatitis

Hepatology, EarlyView., 2022
Adaptive mitochondrial mechanisms allow mitochondrial resilience and prevent the worsening of fibrosis, while deregulation of these mechanisms promotes the progression from no/minimal‐mild (F0‐F2) fibrosis to advanced fibrosis and cirrhosis (F3‐F4). Abstract Background and Aims Hepatitis B virus (HBV) infection causes oxidative stress (OS) and alters ...
Dimitri Loureiro, Issam Tout, Stéphanie Narguet, Cheikh Mohamed Bed, Morgane Roinard, Ahmad Sleiman, Nathalie Boyer, Nathalie Pons‐Kerjean, Corinne Castelnau, Nathalie Giuly, Dorothy Tonui, Vassili Soumelis, Jamel El Benna, Patrick Soussan, Richard Moreau, Valérie Paradis, Abdellah Mansouri, Tarik Asselah   +17 more
wiley   +1 more source