Results 131 to 140 of about 155,165 (287)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM). [PDF]

PeerJ Comput Sci, 2021
Farid AB, Fathy EM, Sharaf Eldin A, Abd-Elmegid LA.   +3 more
europepmc   +1 more source

Nanoscale Mapping of Plasmonic Charge Transport in Nano‐Resonators Based on Resistive Switching Materials

Advanced Functional Materials, EarlyView.
In this strategy, a conductive nano‐probe is employed to induce nanoscale phase transitions and map the nanoscale conductivity and trap density of GST films. By utilizing the contrasting properties of phase‐change states, nano‐resonators are fabricated that exhibit plasmonic conduction and dramatically different transport characteristics.
Sunwoo Bang, Seunghyo Park, Shashank Shekhar, Yuhyeon Oh, Seunghun Hong   +4 more
wiley   +1 more source

A Surface‐engineered Microfluidic Device for Antibody‐Mediated Negative Selection of High‐Quality Sperm for Assisted Reproduction

Advanced Functional Materials, EarlyView.
This study reports a microfluidic device with a functionalized surface utilizing a polyoxazoline coating and covalently immobilized gold nanoparticles and anti‐phosphatidylserine antibody. The device efficiently eliminates pre‐apoptotic and apoptotic spermatozoa and yields sperm with substantially improved quality and low DNA damage, offering a simple ...
Soraya Rasi Ghaemi, David J. Sharkey, Nicole O. McPherson, Markos Negash Alemie, Krasimir Vasilev, Sarah A. Robertson   +5 more
wiley   +1 more source

Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification

IEEE Access
Ensuring software reliability through early-stage defect prevention and prediction is crucial, particularly as software systems become increasingly complex.
Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori   +2 more
doaj   +1 more source

Shaping Ti3C2 MXene Nanospheres for Precision Near‐Infrared Photothermal Therapy

Advanced Functional Materials, EarlyView.
In this study, we report producing spherical MXenes via fs laser fragmentation of Ti3C2 flakes in liquid medium. The nanoparticles demonstrated pronounced light absorption and high photothermal conversion efficiencies of 68% and 63% under heating with NIR‐I and NIR‐II lasers, respectively.
Julia S. Babkova, Ivan V. Zelepukin, Konstantin G. Shevchenko, Gleb V. Tikhonowski, Lyubov V. Gorelik, Anton A. Popov, Anna S. Sogomonyan, Alina Yu. Kapitannikova, Ivan S. Kazantsev, Dmitry V. Dyubo, Daria A. Panova, Daniil I. Tselikov, Anton A. Minnekhanov, Aziz B. Mirkasymov, Georgy A. Ermolaev, Alexander V. Syuy, Gleb I. Tselikov, Aleksey V. Arsenin, Andrei V. Kabashin, Kostya S. Novoselov, Sergey M. Deyev, Valentyn S. Volkov   +21 more
wiley   +1 more source

Q-Learning-Based Feature Selection for Software Defect Prediction

Al-Iraqia Journal for Scientific Engineering Research
Software defect prediction (SDP) is essential for improving software reliability and reducing maintenance costs. In dynamic development environments, traditional static feature selection methods often fail to adapt to evolving data patterns.
Mohammed Suham Ibrahim, Yasmin Makki Mohialden, Doaa Mohsin Abd Ali Afraji   +2 more
doaj   +1 more source

Meta‐Rod Mechanical Metamaterials With Programmable Reconfiguration

Advanced Functional Materials, EarlyView.
Existing mechanical metamaterials achieve programmable large deformations in planar square or cubic configurations, restricted by required complex boundary conditions. This research proposes a 1D metamaterial, Meta‐rod, with linear, bending, twisting, area, and volume deformation modes.
Atharva Pande, Lyes Kadem, Hang Xu
wiley   +1 more source

Ferroelectricity in Antiferromagnetic Wurtzite Nitrides

Advanced Functional Materials, EarlyView.
We establish MnSiN2${\rm MnSiN}_2$ and MnGeN2${\rm MnGeN}_2$ as aristotypes of a new multiferroic wurtzite family that simultaneously exhibits ferroelectricity and antiferromagnetism with altermagnetic spin splitting. By strategically substituting alkaline‐earth metals, we predict new materials with coexisting switchable polarization, spin texture, and
Steven M. Baksa, Lin‐Ding Yuan, Stephen D. Wilson, James M. Rondinelli   +3 more
wiley   +1 more source

Software Defect Prediction Using Machine Learning

International Journal of Recent Technology and Engineering, 2019
Software defect prediction analysis is an important problem in the software engineering community. Software defect prediction can directly affect the quality and has achieved significant popularity in the last few years. This software prediction analysis helps in delivering the best development and makes the maintenance of software more reliable.
openaire   +1 more source