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Programming distributed systems

Henri E. Bal • Data Archiving and Networked Services (DANS) (1990)

Distributed computing systems distributed programming without language support language support for programming distributed systems language for programming distributed systems the share data-object model implementation example programs and...

OPENALEX

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

Load distributing for locally distributed systems

Niranjan G. Shivaratri, Phillip Krueger, Mukesh Singhal • Computer (1992)

The problem of judiciously and transparently redistributing the load of the system among its nodes so that overall performance is maximized is discussed. Several key issues in load distributing for general-purpose systems, including the mot...

OPENALEX DOI: https://doi.org/10.1109/2.179115

Battery Energy Storage Capacity Estimation for Microgrids Using Digital Twin Concept

Nisitha Padmawansa, Kosala Gunawardane, Samaneh Madanian, Amanullah Maung Than Oo • Energies (2023)

Globally, renewable energy-based power generation is experiencing exponential growth due to concerns over the environmental impacts of traditional power generation methods. Microgrids (MGs) are commonly employed to integrate renewable sourc...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16124540

Four-dimensional reconfigurable vascular tunneling machine of spatially programmed liquid crystal elastomers

Yi Li, Yuan Gao, Yifei Li, Naiyu Guan et al. • Nature Communications (2026)

Abstract Thrombosis in tortuous vessels causes blockages and pathological conditions. Current thrombolytics are inefficient, and mechanical thrombectomies lack adaptability, hindering thrombus clearance in complex geometries. Here, we propo...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-026-73495-1

Relaxed Eddy Accumulation Outperforms Monin‐Obukhov Flux Models Under Non‐Ideal Conditions

Einara Zahn, Elie Bou‐Zeid, Nelson Luís Dias • Geophysical Research Letters (2023)

Abstract The Monin‐Obukhov Similarity Theory (MOST) links turbulent statistics to surface fluxes through universal functions. Here, we investigate its performance over a large lake, where none of its assumptions (flat homogeneous surface) a...

DOAJ Open Access (DOAJ) DOI: 10.1029/2023GL103099

Fluorescence detection of tramadol in healthy Chinese volunteers by high-performance liquid chromatography and bioequivalence assessment

Zhou X, Liu J • Drug Design, Development and Therapy (2015)

Xiao Zhou, Ji Liu Department of Anesthesia, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People’s Republic of China Abstract: This study developed a revised high-performance liquid chromatography fluore...

DOAJ Open Access (DOAJ)

Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach

Lucas Santos, Carlos Brito, Iure Fe, Juliana Carvalho et al. • IEEE Access (2024)

The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3393998

Hybrid spatio-temporal transformer and variational autoencoder framework for advanced sports injury prediction and analysis

Fanjie Meng • Kuwait Journal of Science (2026)

Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.1016/j.kjs.2026.100589

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review

Chinthamu Narender, Ashish, P Mathiyalagan, B Devananda Rao et al. • ITM Web of Conferences (2025)

Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining method...

DOAJ Open Access (DOAJ) DOI: 10.1051/itmconf/20257605012

The smartHEALTH European Digital Innovation Hub experiences and challenges for accelerating the transformation of public and private organizations within the innovation ecosystem

Dimitrios G. Katehakis, Dimitrios Filippidis, Konstantinos Karamanis, Angelina Kouroubali et al. • Frontiers in Medicine (2024)

Digital innovation can significantly enhance public health services, environmental sustainability, and social welfare. To this end, the European Digital Innovation Hub (EDIH) initiative was funded by the European Commission and national gov...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2024.1503235

Text Mining in Cybersecurity

Luciano Ignaczak, Guilherme Goldschmidt, Cristiano André da Costa, Rodrigo da Rosa Righi • ACM Computing Surveys (2021)

The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstruc...

OPENALEX DOI: https://doi.org/10.1145/3462477

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets

Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting (2025)

Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...

DOAJ Open Access (DOAJ) DOI: 10.3390/forecast7020031

Feddsg: backdoor defense via semantic filter and geometric constraint in federated learning

Jiabao Zhang, Jianhua Wang, Yuhong Li, Zhuangzhuang Zhang et al. • Cybersecurity (2026)

Abstract Backdoor attacks pose a serious threat to Internet-of-Things (IoT) federated learning. In IoT deployments, pronounced non-independent and identically distributed (non-IID) data heterogeneity causes benign client updates to exhibit ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42400-026-00625-z

Do Risk Disclosure and Firm Value Drive Indonesian Bank Stock Returns?

Salsabila Ahadia Rahmah, Linda Ariany Mahastanti • Review of Management and Entrepreneurship (2026)

Investors are increasingly concerned about risk transparency and cybersecurity disclosure as the banking sector becomes more digitalized. The purpose of this study is to look at how firm value, required risk disclosure, and cyber risk discl...

DOAJ Open Access (DOAJ) DOI: 10.37715/rme.v10i1.6604