Results 51 to 60 of about 6,716 (257)

A Sampling Algorithm for Software Prefetching Using Memory Access Traces [PDF]

Jisuanji gongcheng
Software prefetching, an important technology for improving data access performance, has received widespread attention and has been used in several applications.
LIU Daxing, GU Naijie, HUANG Zhangjin, SU Junjie, QI Dongsheng
doaj   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

Defending Against Flush+Reload Attack With DRAM Cache by Bypassing Shared SRAM Cache

IEEE Access, 2020
Cache side-channel attack is one of the critical security threats to modern computing systems. As a representative cache side-channel attack, Flush+Reload attack allows an attacker to steal confidential information (e.g., private encryption key) by ...
Minwoo Jang, Seungkyu Lee, Jaeha Kung, Daehoon Kim   +3 more
doaj   +1 more source

On the Incomparability of Cache Algorithms in Terms of Timing Leakage [PDF]

Logical Methods in Computer Science, 2019
Modern computer architectures rely on caches to reduce the latency gap between the CPU and main memory. While indispensable for performance, caches pose a serious threat to security because they leak information about memory access patterns of programs ...
Pablo Cañones, Boris Köpf, Jan Reineke
doaj   +1 more source

Revisiting Fisher's n‐D statistical vision: From algebraic abstraction to modern visualization

Canadian Journal of Statistics, EarlyView.
Abstract We revisit early foundational results in mathematical statistics derived by Ronald A. Fisher. They involve sampling distributions of statistics calculated from independent and identically distributed Normal observations, namely the root mean square deviation; the mean absolute deviation, conditional on already knowing the value of the root ...
James A. Hanley
wiley   +1 more source

The International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) Portal: An open source resource for neuropsychological research in epilepsy

Epilepsia, EarlyView.
Abstract Objective The International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) is a consensus‐based, empirically‐driven approach to standardize cognitive phenotyping in epilepsy research that has quickly garnered interest within the epilepsy community. However, manually generating IC‐CoDE phenotypes in group data is laborious and time‐
Robyn M. Busch, Tobias Brünger, Kayela Arrotta, Lisa Ferguson, Julie K. Janecek, Sara J. Swanson, Anny Reyes, Brook Hurd, Mark St. John, Carrie R. McDonald, Bruce P. Hermann, Dennis Lal   +11 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

A Hierarchical Cache Architecture-Oriented Cache Management Scheme for Information-Centric Networking

Future Internet
Information-Centric Networking (ICN) typically utilizes DRAM (Dynamic Random Access Memory) to build in-network cache components due to its high data transfer rate and low latency. However, DRAM faces significant limitations in terms of cost and capacity,
Yichao Chao, Rui Han
doaj   +1 more source