Results 81 to 90 of about 163,724 (263)

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

Advanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

Greening Under Pressure: Climate Change Exposure and Eco‐Innovation

Business Strategy and the Environment, EarlyView.
ABSTRACT This study explores the impact of climate change exposure on corporate eco‐innovation. Recognizing the urgent need to address climate change, we examine how firms directly respond to climate risks through eco‐innovation. Our findings indicate that climate change exposure is positively associated with corporate eco‐innovation.
Pietro Perotti, Fanis Tsoligkas, Kangding Wang   +2 more
wiley   +1 more source

A Multiplierless Architecture for Image Convolution in Memory

Journal of Low Power Electronics and Applications
Image convolution is a commonly required task in machine vision and Convolution Neural Networks (CNNs). Due to the large data movement required, image convolution can benefit greatly from in-memory computing.
John Reuben, Felix Zeller, Benjamin Seiler, Dietmar Fey   +3 more
doaj   +1 more source

A‐optimal model‐based design of experiments for processes with uncertain inputs

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori, Iman Moshiritabrizi, Anh‐Duong Vo, Kimberley B. McAuley   +3 more
wiley   +1 more source

A review on selective in-memory computing processors: Potential alternative to AI-driven applications

Results in Engineering
In-memory computing (IMC) is a paradigm-shifting approach to data processing that eliminates the sluggishness of transferring data between memory and processing units. By integrating computation directly within the memory, IMC accelerates performance for
Mohith V, Sakthivel R
doaj   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Visible Photosensitizing Disinfectant Spray for Combating Multidrug‐Resistant Candidozyma Auris in Healthcare Settings

Exploration, EarlyView.
We designed and synthesized a dual‐type AIE photosensitizer (named TB) spray, containing a cationic quaternary ammonium unit and a glycosyl‐targeted boronic acid moiety, characterized for the elimination of biofilm infections of Candidozyma auris (C. auris) on high‐touch surfaces.
Xiaoyu Xu, Ming‐Yu Wu, Baoping Li, Jie Li, Siyu Chen, Luojia Chen, Donghu Yu, Liupiaopiao Yang, Ziyu Hong, Huaqin Pan, Wei Xiang, Shun Feng, Jong Seung Kim, Lianrong Wang, Zhiqiang Li, Shi Chen, Meijia Gu   +16 more
wiley   +1 more source

Persistent Memory Programming Abstractions in Context of Concurrent Applications

, 2017
The advent of non-volatile memory (NVM) technologies like PCM, STT, memristors and Fe-RAM is believed to enhance the system performance by getting rid of the traditional memory hierarchy by reducing the gap between memory and storage.
Shapiro, Marc, Singh, Ajay, Thomas, Gael
core  

Anuran call properties as reliable indicators of environmental suitability for reproduction

Frontiers in Ecology and the Environment, EarlyView.
The onset of animal breeding activity is often accompanied by auditory signals, typically produced by males, that indicate reproductive status to potential mates and competitors. Here, using male anuran advertisement calls as a case study, we present the novel hypothesis that characteristics of ectotherm auditory signals that are modulated by ...
Julianne E Pekny, Brian D Todd, Eric Post   +2 more
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source