Results 61 to 70 of about 1,057,707 (294)

Perancangan Dan Implementasi Teknologi Virtual Reality Modelling Language 3 Dimensi Pada Pengenalan Perangkat Keras Komputer Berbasis Website

Jurnal Teknologi dan Sistem Komputer, 2015
The purpose of this research is to design and implement the technology of Virtual Reality Modeling Language (VRML) 3D) on the introduction of computer hardware websites based.
Zaskia Wiedya Sahardevi, Oky Dwi Nurhayati, Kurniawan Teguh Martono   +2 more
doaj   +1 more source

Quantum Algorithm Implementations for Beginners

, 2020
As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer programs for most of their careers.
Adedoyin, Adetokunbo, Ambrosiano, John, Anisimov, Petr, Bärtschi, Andreas, Casper, William, Chennupati, Gopinath, Coffrin, Carleton, Coles, Patrick J., Djidjev, Hristo, Eidenbenz, Stephan, Gunter, David, J., Abhijith, Karra, Satish, Lemons, Nathan, Lin, Shizeng, Lokhov, Andrey Y., Malyzhenkov, Alexander, Mascarenas, David, Mniszewski, Susan, Nadiga, Balu, O'Malley, Daniel, Oyen, Diane, Pakin, Scott, Prasad, Lakshman, Roberts, Randy, Romero, Phillip, Santhi, Nandakishore, Sinitsyn, Nikolai, Swart, Pieter J., Vuffray, Marc, Wendelberger, James G., Yoon, Boram, Zamora, Richard, Zhu, Wei   +33 more
core  

Dynamic testing of docking system hardware [PDF]

, 1972
Extensive dynamic testing was conducted to verify the flight readiness of the Apollo docking hardware. Testing was performed on a unique six degree-of-freedom motion simulator controlled by a computer that calculated the associated spacecraft motions ...
Dorland, W. D.
core   +1 more source

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

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

Automatic Salient Object Extraction Based on Locally Adaptive Thresholding to Generate Tactile Graphics

Applied Sciences, 2020
Automatic extraction of salient regions is beneficial for various computer vision applications, such as image segmentation and object recognition. The salient visual information across images is very useful and plays a significant role for the visually ...
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Oybek Djuraev, Utkir Khamdamov, Taeg Keun Whangbo   +4 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Detection of Twitter Users\' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets

مجله انفورماتیک سلامت و زیست پزشکی, 2019
Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides ...
Zahra Ghanbari, Mohsen Yousefi Nejad, Nima Jafari Navimipour, Mehdi Hosseinzadeh   +3 more
doaj  

Successive Cancellation List Polar Decoder using Log-likelihood Ratios

, 2014
Successive cancellation list (SCL) decoding algorithm is a powerful method that can help polar codes achieve excellent error-correcting performance. However, the current SCL algorithm and decoders are based on likelihood or log-likelihood forms, which ...
Parhi, Keshab K., Yuan, Bo
core   +1 more source

Multiscale Structuring of Hydroxyapatite via Two‐Photon Lithography of Nanocomposites

Advanced Functional Materials, EarlyView.
Hydroxyapatite scaffolds are of great interest in bone tissue engineering applications, ranging from 3D cell culture to regenerative medicine. Using two‐photon lithography of a transparent nanocomposite, hydroxyapatite microstructures with features ranging from submicron to centimeter‐scale are fabricated. This allows to mimic the natural bone geometry,
Leonhard Hambitzer, Jan Mathis Hornbostel, Richard Prediger, Sebastian Kluck, Michael Daub, Cornelia Lee‐Thedieck, Frederik Kotz‐Helmer   +6 more
wiley   +1 more source