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Showing 16 of 16 academic articles

Uncovering Psychographic Segments in Indonesia’s Modest-Fashion Market Using VALS and K‑Means Clustering

Diva Putri Pradani, Yati Rohayati, Tiara Verita Yastica • Indonesian Journal of Business and Entrepreneurship (2026)

Background: The Muslim fashion industry in Indonesia continues to expand rapidly, reflecting the dynamic intersection between cultural values and global-style trends. However, many small and medium-sized enterprises (SMEs) still rely on con...

DOAJ Open Access (DOAJ) DOI: 10.17358/ijbe.12.1.125

GEOGRAPHICAL FEATURES OF ATOPIC DERMATITIS INCIDENCE IN THE CHILD POPULATION OF THE GRODNO REGION

Khokha R. N. • Žurnal Grodnenskogo Gosudarstvennogo Medicinskogo Universiteta (2018)

Research objective. To estimate a geographical variation of the indicator of the incidence of atopic dermatitis among the child population of the Grodno region. Material and methods. The data of the official statistical reports of the G...

DOAJ Open Access (DOAJ) DOI: 10.25298/2221-8785-2018-16-1-51-56

Exploring the Relative Importance and Interactive Impacts of Explanatory Variables of the Built Environment on Ride-Hailing Ridership by Using the Optimal Parameter-Based Geographical Detector (OPGD) Model

Zhenbao Wang, Shuyue Liu, Yuchen Zhang, Xin Gong et al. • Applied Sciences (2023)

The impact of the built environment on the ridership of ride-hailing results depends on the spatial grid scale. The existing research on the demand model of ride-hailing ignores the modifiable areal unit problem (MAUP). Taking Chengdu as an...

DOAJ Open Access (DOAJ) DOI: 10.3390/app13042180

Broad-Spectrum Antiviral Activity of an Ankyrin Repeat Protein on Viral Assembly against Chimeric NL4-3 Viruses Carrying Gag/PR Derived from Circulating Strains among Northern Thai Patients

Supachai Sakkhachornphop, Sudarat Hadpech, Tanchanok Wisitponchai, Chansunee Panto et al. • Viruses (2018)

Certain proteins have demonstrated proficient human immunodeficiency virus (HIV-1) life cycle disturbance. Recently, the ankyrin repeat protein targeting the HIV-1 capsid, AnkGAG1D4, showed a negative effect on the viral assembly of the HIV...

DOAJ Open Access (DOAJ) DOI: 10.3390/v10110625

Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study

Sudau, Fabian, Friede, Tim, Grabowski, Jens, Koschack, Janka et al. • Journal of Medical Internet Research (2014)

BackgroundIncreasing numbers of patients are raising their voice in online forums. This shift is welcome as an act of patient autonomy, reflected in the term “expert patient”. At the same time, there is considerable concern that patients ca...

DOAJ Open Access (DOAJ) DOI: 10.2196/jmir.2875

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

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

Proactive caching in cloud and D2D assisted multi-tier cellular networks

Ayaz Ahmad, Fawad Ahmad, Muhammad Suleman Khan, Adel Aldalbahi • PeerJ Computer Science (2026)

Proactive caching in multi-tier cellular networks (MTCNs) is an efficient technique for alleviating heavy data traffic on backhaul links, thereby reducing content latency and increasing the overall cache hit ratio (CHR) and user satisfactio...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.4004

Evaluation of the indirect tensile strength (ITS) of cement-treated clayey soils using XGBoost prediction model

Van-Ngoc Pham, Huu-Dao Do, Thi Phuong Khue Nguyen, Van-Khanh Tran et al. • Tạp chí Khoa học và Công nghệ (2026)

This study develops a data-driven framework using Extreme Gradient Boosting (XGBoost) to predict the Indirect Tensile Strength (ITS) of cement-treated clayey soils. Using 180 specimens with five input variables - cement content, curing time...

DOAJ Open Access (DOAJ) DOI: 10.31130/ud-jst.2026.24(7B).582E

Introduction to Machine Learning

Arvind Kumar Tiwari • IGI Global eBooks (2019)

Machine learning refers to the changes in systems that perform tasks associated with artificial intelligence. This chapter presents introduction types and application of machine learning. This chapter also presents the basic concepts relate...

OPENALEX DOI: https://doi.org/10.4018/978-1-7998-0414-7.ch003

A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys

Mahmood Matin, Mohammad Azadi • International Journal of Lightweight Materials and Manufacture (2024)

The estimation of transition fatigue lifetimes for piston aluminum alloys was carried out using unsupervised machine learning (ML) with the K-means algorithm. For this purpose, an experimental dataset representing standard ISO specimens wit...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijlmm.2024.04.004

Machine Learning in Action

Peter de B. Harrington (2012)

SummaryMachine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to bui...

OPENALEX

Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs

Shiyun Li, Omar Dib • Journal of Theoretical and Applied Electronic Commerce Research (2024)

The rapid expansion of the internet has led to a corresponding surge in malicious online activities, posing significant threats to users and organizations. Cybercriminals exploit malicious uniform resource locators (URLs) to disseminate har...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer19040141