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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

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research (2023)

BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...

DOAJ Open Access (DOAJ) DOI: 10.2196/43349

Robotic Template Library

Ales Jelinek, Adam Ligocki, Ludek Zalud • Journal of Open Research Software (2021)

Robotic Template Library (RTL) is a set of tools for dealing with geometry and point cloud processing, especially in robotic applications. The software package covers basic objects such as vectors, line segments, quaternions, rigid transfor...

DOAJ Open Access (DOAJ) DOI: 10.5334/jors.353

Machine learning and computer vision approaches for phenotypic profiling

Ben T. Grys, Dara S. Lo, Nil Sahin, Oren Z. Kraus et al. • The Journal of Cell Biology (2016)

With recent advances in high-throughput, automated microscopy, there has been an increased demand for effective computational strategies to analyze large-scale, image-based data. To this end, computer vision approaches have been applied to ...

OPENALEX cc-by-nc-sa DOI: https://doi.org/10.1083/jcb.201610026 PMC: 5223612

Fundamentals of Computer Vision

Wesley E. Snyder, Hairong Qi • Cambridge University Press eBooks (2017)

Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mat...

OPENALEX DOI: https://doi.org/10.1017/9781316882641

Kernel Methods in Computer Vision

Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision (2009)

Over the last years, kernel methods have established themselves as powerful tools for computer vision researchers as well as for practitioners. In this tutorial, we give an introduction to kernel methods in computer vision from a geometric ...

OPENALEX DOI: https://doi.org/10.1561/0600000027

Multi‐object tracking using dominant sets

Yonatan T. Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati • IET Computer Vision (2016)

Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limite...

DOAJ Open Access (DOAJ) DOI: 10.1049/iet-cvi.2015.0297

Assessment of the possibility of machine learning for electronic equipment quality prediction

Anna S. Kolosova, Anna S. Kameneva, Georgii G. Chukov, Alexander Y. Nikiforov • Безопасность информационных технологий (2023)

The major algorithms and methods of machine learning are considered. A possibility of machine learning and neural network using for electronic equipment quality prediction is assessed. The paper provides examples of the successful applicati...

DOAJ Open Access (DOAJ) DOI: 10.26583/bit.2023.1.09

Machine Learning in Computer Vision

Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science (2020)

During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.procs.2020.03.355

Identifying people’s energy information needs through Energy Citizen Personas

Ajesh Kumar, Toni Kuronen, Bilal Naqvi, Salla Annala et al. • Energy Informatics (2026)

Abstract Energy Citizenship refers to individuals and communities participating, sometimes begrudgingly, in adopting energy solutions, whether sustainable or not. When enacted positively, it advances the green energy transition. There are s...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42162-026-00691-0

Essence of Neural Networks

Robert Callan (1998)

* Introduction * Classifying Patterns * Clustering Patterns * Pattern Association * A Sample of Recurrent Networks * Some Other Network Models and A Few Practical Points * Links to Artificial Intelligence * Synthesising Symbols with Neural ...

OPENALEX

The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits

Kyoung-Mi Jang, Myung-Sun Kim, Do-Won Kim • Frontiers in Human Neuroscience (2020)

This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level act...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnhum.2020.580813

Connectomic insights into the impact of 1p/19q co-deletion in dominant hemisphere insular glioma patients

Zuo-cheng Yang, Bo-wen Xue, Xin-yu Song, Chuan-dong Yin et al. • Frontiers in Neuroscience (2024)

ObjectivesThis study aimed to elucidate the influences of 1p/19q co-deletion on structural connectivity alterations in patients with dominant hemisphere insular diffuse gliomas.MethodsWe incorporated 32 cases of left insular gliomas and 20 ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnins.2024.1283518

A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

Maria Grazia Puxeddu, Maria Grazia Puxeddu, Manuela Petti, Manuela Petti et al. • Frontiers in Systems Neuroscience (2021)

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning. Moreover, brain networks are intrinsically multilayer since their attributes can vary across...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnsys.2021.624183

Monthly Evapotranspiration Modeling in the Absence of Climatic Data Using the Soft Computing Methods in West and Northwest of Iran

Saman Maroufpour, Eisa Maroufpoor, Hadi Sanikhani • مهندسی منابع آب (2017)

Evapotranspiration (ET0), a major component of the hydrologic cycle, is important in water resources development and irrigation planning. The ET0 for west and northwest of Iran was estimated using the FAO Penman-Montieth method (FAO-56) as ...

DOAJ Open Access (DOAJ)

A Comprehensive Survey on Community Detection With Deep Learning

Xing Su, Shan Xue, Fanzhen Liu, Jia Wu et al. • IEEE Transactions on Neural Networks and Learning Systems (2022)

Detecting a community in a network is a matter of discerning the distinct features and connections of a group of members that are different from those in other communities. The ability to do this is of great significance in network analysis...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnnls.2021.3137396

An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles

Prot Piyakawanich, Pattarapong Phasukkit • Drones (2024)

In the rapidly evolving domain of Unmanned Aerial Vehicles (UAVs), precise altitude estimation remains a significant challenge, particularly for lightweight UAVs. This research presents an innovative approach to enhance altitude estimation ...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8120718