Results 41 to 50 of about 87,896 (215)

Evaluation of Interval Type-2 Fuzzy Neural Super-Twisting Control Applied to Single-Phase Active Power Filters

open access: yesApplied Sciences
This research introduces an improved control strategy for an active power filter (APF) system. It utilizes an adaptive super-twisting sliding mode control (STSMC) scheme.
Jiacheng Wang, Xiangguo Li, Juntao Fei
doaj   +1 more source

Generic Non-recursive Suffix Array Construction

open access: yesACM Trans. Algorithms
The suffix array is arguably one of the most important data structures in sequence analysis and consequently there is a multitude of suffix sorting algorithms.
Jannik Olbrich   +2 more
semanticscholar   +1 more source

Considering the animating ethos of designing digital first unemployment services: On the motivation of others

open access: yesAustralian Journal of Social Issues, EarlyView.
Abstract This paper explores the animating ethos of digital unemployment services. Unlike human‐to‐human services, where the intention of policy is normally mediated by professionals, digital services are fully designed in the policy imagination. As a result, it is a pressing issue to understand the ethos that animates their development.
Ray Griffin   +2 more
wiley   +1 more source

Quantitative Analysis of Fluorescent Sensor Arrays

open access: yesAnalysis &Sensing, Accepted Article.
Fluorescent sensor arrays address the limitations of a single sensor by leveraging multiple sensing elements to generate unique response patterns for each of the analyte of interest. This approach has emerged as a powerful tool for identifying and analysing intricate chemical and biological environments using various multivariate analytical tools such ...
Karandeep Grover   +3 more
wiley   +1 more source

A dual‐driven event‐triggered mechanism for observer‐based sliding mode control of stochastic uncertain Markov jump systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper investigates the problem of observer‐based sliding mode control (SMC) of stochastic uncertain Markov jump systems using dual‐driven event‐triggered mechanism (ETM). The ETM is implemented not only in the system output to the observer channel but also in the feedback channel, forming a dual ETM, which can effectively reduce ...
Haocheng Lou   +2 more
wiley   +1 more source

Environmental Sustainability and Business Profitability: Profiling Winners and Losers With Machine Learning

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT We utilize a rich dataset of manufacturing firms to investigate the heterogeneous effects of ISO 14001 on the financial performance of certified firms. We employ machine learning techniques, specifically causal tree and causal forest, to uncover these effects. Our findings reveal consistently positive average effects of ISO 14001 certification
Xiaoliu Xu, Abdoul G. Sam
wiley   +1 more source

Transfer Learning‐Based Data‐Fusion Model Framework for State of Health Estimation of Power Battery Packs

open access: yesBattery Energy, EarlyView.
To handle nonlinearity and feature coupling, a data‐driven aging model is proposed, employing dual Gaussian Process Regressions and transfer learning to enhance model efficiency and accuracy. Adaptive filtering refines the model by integrating aging features and output capacity, resulting in a closed‐loop data fusion framework for SOH estimation ...
Zhiqiang Lyu   +3 more
wiley   +1 more source

Novel molecular mechanisms of immune evasion in hepatocellular carcinoma: NSUN2‐mediated increase of SOAT2 RNA methylation

open access: yesCancer Communications, EarlyView.
Abstract Background Hepatocellular carcinoma (HCC) is a deadly malignancy known for its ability to evade immune surveillance. NOP2/Sun RNA methyltransferase family member 2 (NSUN2), an RNA methyltransferase involved in carcinogenesis, has been associated with immune evasion and energy metabolism reprogramming.
Jinhua Jiang   +6 more
wiley   +1 more source

A survey on deep reinforcement learning architectures, applications and emerging trends

open access: yesIET Communications, EarlyView., 2022
Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many more fields with less human interaction.
Surjeet Balhara   +6 more
wiley   +1 more source

Optimizing a Super-Fast Eigensolver for Hierarchically Semiseparable Matrices

open access: yesInternational Conference on Parallel Processing
In this paper, we consider the efficient computation of all eigenvalues and eigenvectors of Symmetric Hierarchically Semiseparable (HSS) matrices, which have an inherent structure: the off-diagonal blocks have hierarchical bases and have low ranks. State-
Abhishek V N Taraka Josyula   +4 more
semanticscholar   +1 more source

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