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Academic Articles & Research Papers
Showing 20 of 71 academic articles
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...
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Open Access (DOAJ)
DOI: 10.3390/s24216800
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...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-65899-0
Zhihua Li • Journal of Algorithms & Computational Technology
(2013)
A quantum mechanics interpretation of Fuzzy C-Mean (FCM) is presented. Cluster aims to study the data distribution in scale space. Its characteristics are very similar to the particle world in quantum physics. By analyzing the essence of th...
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Open Access (DOAJ)
DOI: 10.1260/1748-3018.7.2.197
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...
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Open Access (DOAJ)
DOI: 10.3389/fimmu.2025.1650726
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...
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DOI: https://doi.org/10.1201/9781003383055-9
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 ...
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DOI: https://doi.org/10.1109/tpami.2010.88
S. Srinivasan, Niraj Kumar Jha • IEEE Transactions on Parallel and Distributed Systems
(1999)
Distributed computer systems are increasingly being employed for critical applications, such as aircraft control, industrial process control, and banking systems. Maximizing performance has been the conventional objective in the allocation ...
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DOI: https://doi.org/10.1109/71.755824
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...
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Open Access
DOI: https://doi.org/10.1145/3292500.3330961
Abhay B. Bulsari • Elsevier eBooks
(1995)
Part 1 Theoretical issues: an introduction to artificial neural networks, D.T. Pham unsupervised neural learning, E. Oja back-propagation and its variations, D. Tsaptsinos the general approximation problem for feed-forward neural networks, ...
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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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Yogita K. Dubey, Milind M. Mushrif • Advances in Fuzzy Systems
(2016)
The study of brain disorders requires accurate tissue segmentation of magnetic resonance (MR) brain images which is very important for detecting tumors, edema, and necrotic tissues. Segmentation of brain images, especially into three main t...
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Open Access (DOAJ)
DOI: 10.1155/2016/3406406
Yingmei Qin, Ziyu Hu, Yi Chen, Jing Liu et al. • Entropy
(2022)
Fatigue driving is one of the major factors that leads to traffic accidents. Long-term monotonous driving can easily cause a decrease in the driver’s attention and vigilance, manifesting a fatigue effect. This paper proposes a means of reve...
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Open Access (DOAJ)
DOI: 10.3390/e24081093
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...
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Open Access (DOAJ)
Mostafa Raeisi, Abu B. Sesay • IEEE Access
(2022)
In this paper, we propose a new distance metric for the K-means clustering algorithm. Applying this metric in clustering a dataset, forms unequal clusters. This metric leads to a larger size for a cluster with a centroid away from the origi...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3198992
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...
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Open Access (DOAJ)
DOI: 10.3390/app9061231
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...
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Open Access (DOAJ)
DOI: 10.1186/s13075-019-2018-4
Limin Chuan, Jingjuan Zhao, Shijie Qi, Qian Jia et al. • Applied Sciences
(2024)
From the perspective of project and paper datasets, research frontier recognition in the field of agricultural resources and the environment using the Latent Dirichlet Allocation (LDA) topic extraction model was studied. By combining the wi...
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Open Access (DOAJ)
DOI: 10.3390/app14124996
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...
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DOI: https://doi.org/10.1186/s12911-018-0594-x
PMC: 5872501
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. ...
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Open Access (DOAJ)
DOI: 10.3390/math14020299
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