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Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea

Kangsan Kim, Geumbee Kim, Jiwon Yoo, Jungeun Heo et al. • Sensors (2024)

As the penetration of electric vehicles (EVs) increases, an understanding of EV operation characteristics becomes crucial in various aspects, e.g., grid stability and battery degradation. This can be achieved through analyzing large amounts...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24216800

Universal terminal for cloud quantum computing

Mohammadsadegh Khazali • Scientific Reports (2024)

Abstract To bring the quantum computing capacities to the personal edge devices, the optimum approach is to have simple non-error-corrected personal devices that offload the computational tasks to scalable quantum computers via edge servers...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-65899-0

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3

Ziqiang Wang, Jing Zhang, Huili Chen, Xinyu Zhang et al. • Frontiers in Immunology (2025)

BackgroundM2-like tumor-associated macrophages (TAMs) promote an immunosuppressive microenvironment and contribute to tumor progression and metastasis. However, their molecular characterization and prognostic value have not been fully explo...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2025.1650726

Distributed Systems

Pranabananda Chakraborty • Chapman & Hall/CRC eBooks (2023)

This chapter demystifies computing systems consisting of multiple CPUs, shared and distributed memory, and different types of I/O in the form of multiprocessors and multicomputers that eventually gave rise to distributed computing systems a...

OPENALEX DOI: https://doi.org/10.1201/9781003383055-9

Parallel Spectral Clustering in Distributed Systems

Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih‐Jen Lin et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms, such as k-means. However, spectral clustering suffers from a scalability problem in both memory use and computational ...

OPENALEX DOI: https://doi.org/10.1109/tpami.2010.88

Heterogeneous Graph Neural Network

Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami et al. • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2019)

Representation learning in heterogeneous graphs aims to pursue a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This...

OPENALEX Open Access DOI: https://doi.org/10.1145/3292500.3330961

Applications of Neural Networks in Electromagnetics

Christos Christodoulou, Michael Georgiopoulos • CERN Document Server (European Organization for Nuclear Research) (2001)

From the Book: Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...

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Y. Tuvaleva, T. Samsonov • InterCarto. InterGIS (2014)

The work is dedicated to description of Russian settlements patterns using spatial statistics. Spatial statistics is a powerful analysis method which reveals the properties of 2D point distributions. The methods differ from each other in is...

DOAJ Open Access (DOAJ)

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Jaehyun Lee, Jinho Kim, Woong Ko • Applied Sciences (2019)

Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...

DOAJ Open Access (DOAJ) DOI: 10.3390/app9061231

A distinct gut microbiota composition in patients with ankylosing spondylitis is associated with increased levels of fecal calprotectin

Eva Klingberg, Maria K. Magnusson, Hans Strid, Anna Deminger et al. • Arthritis Research & Therapy (2019)

Abstract Background Ankylosing spondylitis (AS) shares many characteristics with inflammatory bowel disease (IBD). Intestinal microbiota most likely plays an important role in the development of IBDs and may also be involved in the pathogen...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13075-019-2018-4

A bibliometric analysis of natural language processing in medical research

Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making (2018)

BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-018-0594-x PMC: 5872501

A Multi-Stage NLP Framework for Knowledge Discovery from Crop Disease Research Literature

Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics (2026)

Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math14020299

A comparative empirical evaluation of semantic clustering algorithms on static word embeddings

Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights (2026)

Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jjimei.2026.100396