Results 61 to 70 of about 36,792 (238)

Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation [PDF]

open access: yes, 2018
Despite the tremendous achievements of deep convolutional neural networks (CNNs) in many computer vision tasks, understanding how they actually work remains a significant challenge.
Li, Heyi   +3 more
core   +3 more sources

Optimizing BiLSTM Network Attack Prediction Based on Improved Gray Wolf Algorithm

open access: yesApplied Sciences, 2023
Aiming at the problems of low accuracy of network attack prediction and long response time of attack detection, bidirectional long short-term memory (BiLSTM) was used to predict network attacks. However, BiLSTM has the problems of difficulty in parameter setting and low accuracy of the prediction model.
Shaoming Qiu   +4 more
openaire   +2 more sources

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

open access: yesAnnals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt   +82 more
wiley   +1 more source

Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment

open access: yesApplied Artificial Intelligence
This study investigates the application of heuristic and meta-heuristic algorithms to address resource allocation challenges in Internet of Things (IoT) applications within fog computing environments.
Fatemeh Arvaneh   +2 more
doaj   +1 more source

Recombinant Monoclonal Antibodies for Detecting the Tubulin Post‐Translational Modifications Glutamylation and Lysine‐40 Acetylation

open access: yesCytoskeleton, EarlyView.
ABSTRACT Post‐translational modifications (PTMs) to tubulin subunits in microtubule filaments are thought to comprise a component of the tubulin code that specifies microtubule functions in cell physiology and animal development. Acetylation of Lysine‐40 (K40) on α‐tubulin (αTub‐K40ac) and glutamylation of both α‐ and β‐tubulin are two tubulin PTMs of ...
Lynne Blasius   +6 more
wiley   +1 more source

Multiple Description Coding of Discrete Ergodic Sources [PDF]

open access: yes, 2009
We investigate the problem of Multiple Description (MD) coding of discrete ergodic processes. We introduce the notion of MD stationary coding, and characterize its relationship to the conventional block MD coding. In stationary coding, in addition to the
Jalali, Shirin, Weissman, Tsachy
core   +2 more sources

Design on Universal Circuit Breaker via Improved Gray Wolf Optimization Algorithm

open access: yesMathematical Problems in Engineering, 2020
Miniaturization design of the universal circuit breaker is very necessary, but it is not enough to consider only the miniaturization in the design but also consider the energy consumption and breaking capacity of the universal circuit breaker. To this end, a comprehensive optimization design method in this paper is proposed and studied.
Shuidong Dai   +3 more
openaire   +1 more source

Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang   +3 more
wiley   +1 more source

A Transformer Fault Diagnosis Method Based on Parameters Optimization of Hybrid Kernel Extreme Learning Machine

open access: yesIEEE Access, 2021
Dissolved gas analysis (DGA) is a widely used method for diagnosing internal transformer defects. The traditional single intelligent diagnostic method cannot efficiently process large amounts of incomplete defect information with DGA, which affects the ...
Jifang Li, Chen Hai, Zhen Feng, Genxu Li
doaj   +1 more source

A measure of the non-Gaussian character of a quantum state [PDF]

open access: yes, 2007
We address the issue of quantifying the non-Gaussian character of a bosonic quantum state and introduce a non-Gaussianity measure based on the Hilbert-Schmidt distance between the state under examination and a reference Gaussian state.
Banaszek, Konrad   +2 more
core   +3 more sources

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