Results 171 to 180 of about 22,603 (282)
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
A Systematic Literature Review on the Implementation and Challenges of Zero Trust Architecture Across Domains. [PDF]
Sensors (Basel)Mushtaq S, Mohsin M, Mushtaq MM.
europepmc +1 more source
Animal Models and Experimental Medicine, EarlyView.This study demonstrates that using a Pedicle screw‐Rod configuration for the external fixation of non‐articular tibial osteotomy aligns well with the principles of biological osteosynthesis, resulting in secondary bone healing characterized by callus formation and neovascularization.
Mohammad Mahdi Gooran +3 more
wiley +1 more source
A secure multi phase authentication protocol for cloud infrastructure using elliptic curve cryptography. [PDF]
Sci RepSivasankar R, Marikkannan M.
europepmc +1 more source
Advanced NanoBiomed Research, EarlyView.A novel self‐adhesive hydrogel matrix is engineered to embed a fiber Bragg grating sensor for real‐time monitoring of physiological strain signals. The developed system conforms to the skin without external supports and, thanks to the fiber–matrix mechanical coupling, captures both subtle and large‐scale deformations.
Ilaria Condò +4 more
wiley +1 more source
Secure edge-based IoMT framework for ICU monitoring with TinyML and post-quantum cryptography. [PDF]
Sci RepKhan UH +5 more
europepmc +1 more source
Analysis &Sensing, EarlyView.Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi +3 more
wiley +1 more source
A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers [PDF]
Jimmy Dani, Kalyan Nakka, Nitesh Saxena
openalex +1 more source
Archaeological Prospection, EarlyView.ABSTRACT The emergence and development of settlement mounds, also called tells, is of major interest for the analysis of socio‐economic transformations occurring in the lower Danube plain during the East European Chalcolithic period. In this context, the multiphase chronology and structural layout of tells are highly relevant indicators, but small ...
Manuel Zolchow +11 more
wiley +1 more source