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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam et al. • IEEE Access (2024)

Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable pri...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3400913

Reference vegetation for restoration? Three vegetation maps compared across 76 nature reserves in Uganda and Kenya

Jens‐Peter Barnekow Lillesø, Davide Barsotti, James Kalema, Paulo vanBreugel et al. • Ecosphere (2024)

Abstract Forest and landscape restoration are increasingly popular nature‐based solutions to mitigate climate change and safeguard biodiversity. Restoration planning and monitoring implies that a reference ecosystem has been defined to whic...

DOAJ Open Access (DOAJ) DOI: 10.1002/ecs2.70030

Developing an Interferogram-Based Module with Machine Learning for Maintaining Leveling of Glass Substrates

Syuan-Cheng Chang, Chung-Ping Chang, Yung-Cheng Wang, Chi-Chieh Chu • Machines (2023)

In this research, we propose a method that utilizes machine learning to maintain the parallelism of the resonant cavity in a Fabry–Perot interferometer designed specifically for glass substrates. Based on the optical principle and theory, w...

DOAJ Open Access (DOAJ) DOI: 10.3390/machines11060668

Application of the linear method of discriminant analysis of reflectance spectra in the near infrared region for the species identification of fish of the Salmonidae family

Novikov V. Yu., Rysakova K. S., Baryshnikov A. V. • Vestnik MGTU (2021)

It is well known that fish belonging to the Salmonidae family differ in their nutritional value. Anatomical and morphological features of different salmon species have a certain similarity; therefore, representatives of this family are most...

DOAJ Open Access (DOAJ) DOI: 10.21443/1560-9278-2021-24-4-450-460

Prediction of metabolic status of dairy cows in early lactation using milk fatty acids and test-day variables

Muluken Girma, A.T.M. van Knegsel, S. Heirbaut, L. Vandaele et al. • Journal of Dairy Science (2023)

ABSTRACT: Early lactation metabolic imbalance is an important physiological change affecting the health, production, and reproduction of dairy cows. The aims of this study were (1) to evaluate the potential of test-day (TD) variables with o...

DOAJ Open Access (DOAJ) DOI: 10.3168/jds.2022-22702

Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification

Xiaoqing Gu, Cong Zhang, Tongguang Ni • IEEE Access (2019)

The rule-based fuzzy systems have successfully applied for numerous medical data classification problems. However, structuring the concise and interpretable fuzzy rules with good classification performance is still a big challenge. To addre...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2954707

Introduction to Nuclear Engineering

John R. Lamarsh, Edward Melkonian • Physics Today (1977)

(Most chapters end with References and Problems). 1. Nuclear Engineering. 2. Atomic and Nuclear Physics. Fundamental Particles. Atomic and Nuclear Structure. Atomic and Molecular Weight. Atomic and Nuclear Radii. Mass and Energy. Particle W...

OPENALEX DOI: https://doi.org/10.1063/1.3037597

Admission prognostic nutritional index improves risk stratification for the carbapenem-resistant phenotype in culture-positive Klebsiella pneumoniae: a retrospective cohort study

Kaixuan Zhang, Huihui Li, Yuanyuan Xu, Sudi Zhu et al. • Frontiers in Cellular and Infection Microbiology (2026)

BackgroundCarbapenem-resistant Klebsiella pneumoniae (CRKP) remains an infection-control challenge. We assessed whether admission immuno-nutritional status, measured by the Prognostic Nutritional Index (PNI), is associated with the CRKP phe...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcimb.2026.1828441

A Dynamic Discriminative Canonical Correlation Analysis via Adaptive Weight Scheme

Shuzhi Su, Penglian Gao, Yanmin Zhu, Xingzhu Liang et al. • IEEE Access (2021)

In multi-view learning, massive literature is devoted to exploring the intrinsic structure between cross-views. It is well known that canonical correlation analysis (CCA) is a conventional multi-view learning method, which considers the cor...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3118023

Forecasting Warping Deformation Using Multivariate Thermal Time Series and K-Nearest Neighbors in Fused Deposition Modeling

Donghwan Song, Adrian Matias Chung Baek, Jageon Koo, Moise Busogi et al. • Applied Sciences (2020)

Over the past decades, additive manufacturing has rapidly advanced due to its advantages in enabling diverse material usage and complex design production. Nevertheless, the technology has limitations in terms of quality, as printed products...

DOAJ Open Access (DOAJ) DOI: 10.3390/app10248951

Unveiling Insights into the Whole Genome Sequencing of <i>Mycobacterium</i> spp. Isolated from Siamese Fighting Fish (<i>Betta splendens</i>)

Nguyen Dinh-Hung, Samuel Mwakisha Mwamburi, Ha Thanh Dong, Channarong Rodkhum et al. • Animals (2024)

This study aims to genomically elucidate six isolates of rapidly growing non-tuberculous mycobacteria (RGM) derived from Siamese fighting fish (Betta splendens). These isolates had previously undergone phenotypic and biochemical characteriz...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani14192833

Monitoring of coastal dynamics at Subang Regency using Landsat Collection Data and Cloud Computing Based

A Madinu Abd Malik, Jouhary Naufal Amir, Ulfa Aulia, Rahmadhanti Intan Nur et al. • BIO Web of Conferences (2024)

This study aims to better understand the coastal dynamics along the 6.89 km of Subang shoreline using Landsat data and GIS methods with cloud computing-based analysis. The data is processed using remote sensing techniques, image classificat...

DOAJ Open Access (DOAJ) DOI: 10.1051/bioconf/202410604005

Proper Names and Their Functions in the Text Coherency Formation (at the Material of the Novels “The Twelve Chairs” and “The Little Golden Calf” by I. Ilf and E. Petrov)

Tatyana Valentinovna Milevskaya • Вестник Волгоградского государственного университета: Серия 2. Языкознание (2015)

The article deals with the onomastic space structure in the literary text and its constituents functions in realization of coherency as a text forming category. It is stated that providing global text coherence onyms could represent both de...

DOAJ Open Access (DOAJ) DOI: 10.15688/jvolsu2.2015.5.13

Review on the Role of Corporate Governance and Internal Control System on Firms’ Financial Performance

Omar Turki Hazzaa, Dewi Fariha Abdullah, Adel Mohammed Dhahebi • Asian Journal of Accounting Perspectives (2022)

Research aim: This research analyses the systematic review of the literature (2015–2021) concerning corporate governance, internal control system, and their impact on financial performance. This study brings about several findings on the ro...

DOAJ Open Access (DOAJ) DOI: 10.22452/AJAP.vol15no1.1

The Effect of Diversification Strategies on Inventory Performance

Zahra Yousefzadeh, Gholamreza Mansourfar, Farzad Ghayour • مطالعات تجربی حسابداری مالی (2021)

Today, with rapid and sustained changes in business markets, a growing number of companies have turned diversification into new product segments or global markets by shifting their business to increase the importance of long-term financial ...

DOAJ Open Access (DOAJ) DOI: 10.22054/qjma.2021.58687.2227

Perbandingan Simple Logistic Classifier dengan Support Vector Machine dalam Memprediksi Kemenangan Atlet

Ednawati Rainarli, Arif Romadhan • Journal of Information Systems Engineering and Business Intelligence (2017)

Abstrak— Prediksi kemenangan atlet adalah hal yang harus dilakukan oleh pelatih ketika memutuskan pemain  yang akan diturunkan dalam suatu pertandingan. Banyaknya faktor-faktor yang mempengaruhi kemenangan atlet membuat keputusan tersebut t...

DOAJ Open Access (DOAJ) DOI: 10.20473/jisebi.3.2.87-91