Reset
Showing 20 of 41 academic articles

Monitoring distributed systems

Jeffrey J. Joyce, Greg Lomow, Konrad L. Slind, Brian W. Unger • ACM Transactions on Computer Systems (1987)

The monitoring of distributed systems involves the collection, interpretation, and display of information concerning the interactions among concurrently executing processes. This information and its display can support the debugging, testin...

OPENALEX Open Access DOI: https://doi.org/10.1145/13677.22723

Natural Language Processing of Nursing Notes

Shazia A. Mitha, Jessica Schwartz, Mollie Hobensack, Kenrick Cato et al. • CIN Computers Informatics Nursing (2022)

Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in n...

OPENALEX Open Access DOI: https://doi.org/10.1097/cin.0000000000000967 PMC: 11499545

Concurrent frequency–voltage stabilization for hybrid microgrid with virtual inertia support

Abdul Latif, S. M. Suhail Hussain, Atif Iqbal, Dulal Chandra Das et al. • IET Renewable Power Generation (2023)

Abstract This paper presents a novel control scheme for combined frequency and voltage stabilization of an islanded multi‐generator hybrid microgrid (IHμG). The control concept incorporates an improved virtual inertia support scheme (IVIS) ...

DOAJ Open Access (DOAJ) DOI: 10.1049/rpg2.12729

Lightweight Anonymous Group Authentication and Quantum-Cloud Key Distribution Based on PUF for Classical Network Environments

Huanjie Zhang, Yang Chen, Shenghao Chen, Zilong Zhao et al. • Sensors (2026)

With the rapid development of quantum computing, in response to its disruptive threats to traditional cryptosystems and the urgent demand for lightweight and highly scalable secure group communication among resource-constrained devices in l...

DOAJ Open Access (DOAJ) DOI: 10.3390/s26154840

Load Sharing in Distributed Systems

Yung-Terng Wang, Morris • IEEE Transactions on Computers (1985)

An important part of a distributed system design is the choice of a load sharing or global scheduling strategy. A comprehensive literature survey on this topic is presented. We propose a taxonomy of load sharing algorithms that draws a basi...

OPENALEX DOI: https://doi.org/10.1109/tc.1985.1676564

Thyroid Ultrasound Appropriateness Identification Through Natural Language Processing of Electronic Health Records

Cristian Soto Jacome, MD, Danny Segura Torres, MD, Jungwei W. Fan, PhD, Ricardo Loor-Torres, MD et al. • Mayo Clinic Proceedings: Digital Health (2024)

Objective: To address thyroid cancer overdiagnosis, we aim to develop a natural language processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS). Patients and Methods: Between 2017 and 2021, we identified 18...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mcpdig.2024.01.001

Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour

Saleh Albahli, Nudrat Nida, Aun Irtaza, Muhammad Haroon Yousaf et al. • IEEE Access (2020)

Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to the other body organs i.e. li...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3035345

Aphid-ResNetSwin: An Image Recognition Method with Improved Attention Mechanism for Graded Identification of <i>Myzus persicae</i>

Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects (2026)

Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...

DOAJ Open Access (DOAJ) DOI: 10.3390/insects17030305

Building neural networks

David M. Skapura (1995)

Foundations. Motivation. Neural-Network Fundamentals. Single Neuron Computations. Network Computations. Network Simulation. Foundations Summary. Suggested Readings. Bibliography. Paradigms. The Backpropagation Network. The Counterpropagatio...

OPENALEX

Deep Learning

Dulani Meedeniya • Chapman & Hall/CRC eBooks (2023)

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising....

OPENALEX public-domain DOI: https://doi.org/10.1201/9781003390824

An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery

JongCheol Pyo, Hongtao Duan, Mayzonee Ligaray, Minjeong Kim et al. • Remote Sensing (2020)

Hyperspectral image sensing can be used to effectively detect the distribution of harmful cyanobacteria. To accomplish this, physical- and/or model-based simulations have been conducted to perform an atmospheric correction (AC) and an estim...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs12071073

Deep Learning for Diabetes: A Systematic Review

Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou • IEEE Journal of Biomedical and Health Informatics (2020)

Diabetes is a chronic metabolic disorder that affects an estimated 463 million people worldwide. Aiming to improve the treatment of people with diabetes, digital health has been widely adopted in recent years and generated a huge amount of ...

OPENALEX other-oa DOI: https://doi.org/10.1109/jbhi.2020.3040225

Deep Learning for Image Super-Resolution: A Survey

Zhihao Wang, Jian Chen, Steven C. H. Hoi • IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)

Image Super-Resolution (SR) is an important class of image processing techniqueso enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning ...

OPENALEX Open Access DOI: https://doi.org/10.1109/tpami.2020.2982166

Machine learning insight in quality control and maintenance management of drilling mud pumps

Xiaoming Wu, Jingxuan Chang, Chengcheng Long, Hamzeh Ghorbani • Journal of Big Data (2026)

Abstract This study proposes a machine learning-based framework for predictive maintenance and quality control of drilling mud pumps, targeting critical operational challenges such as equipment failure, downtime, and high maintenance costs....

DOAJ Open Access (DOAJ) DOI: 10.1186/s40537-026-01475-9

Introduction to Machine Learning

Yalın Baştanlar, Mustafa Özuysal • Methods in molecular biology (2013)

The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity ...

OPENALEX Open Access DOI: https://doi.org/10.1007/978-1-62703-748-8_7