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Genetic algorithm–optimized support vector machine for real-time activity recognition in health smart home

Yan Hu, Bingce Wang, Yuyan Sun, Jing An et al. • International Journal of Distributed Sensor Networks (2020)

Health smart home, as a typical application of Internet of things, provides a new solution for remote medical treatment. It can effectively relieve pressure from shortage of medical resources caused by aging population and help elderly peop...

DOAJ Open Access (DOAJ) DOI: 10.1177/1550147720971513

Machine Learning–Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management (2025)

The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v4i4.4

A Novel Efficient Method for Land Cover Classification in Fragmented Agricultural Landscapes Using Sentinel Satellite Imagery

Xinyi Li, Chen Sun, Huimin Meng, Xin Ma et al. • Remote Sensing (2022)

Updated and accurate land cover maps are essential and crucial for sustainable crop production and efficient land management. However, accurate and efficient land cover mapping is still a challenge for agricultural regions with complicated ...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs14092045

Perbandingan Simple Logistic Classifier dengan Support Vector Machine dalam Memprediksi Kemenangan Atlet

Ednawati Rainarli, Arif Romadhan • Journal of Information Systems Engineering and Business Intelligence (2017)

Abstrak— Prediksi kemenangan atlet adalah hal yang harus dilakukan oleh pelatih ketika memutuskan pemain  yang akan diturunkan dalam suatu pertandingan. Banyaknya faktor-faktor yang mempengaruhi kemenangan atlet membuat keputusan tersebut t...

DOAJ Open Access (DOAJ) DOI: 10.20473/jisebi.3.2.87-91

Near infrared spectroscopy predicts crude protein concentration in hemp grain

Ryan V. Crawford, Jamie L. Crawford, Julie L. Hansen, Lawrence B. Smart et al. • Agrosystems, Geosciences & Environment (2026)

Abstract This study evaluated near‐infrared spectroscopy (NIRS) for nondestructive crude protein (CP) prediction in hemp (Cannabis sativa L.) grain and validated the biological basis of spectral predictions. Note that 149 whole grain sample...

DOAJ Open Access (DOAJ) DOI: 10.1002/agg2.70328

MRI Application in Quantification of Epiphyseal Development in the Wrist and Bone Age Estimation of Han Male Adolescents in East China

ZHOU Zhi-lu, ZHANG Dong-fei, CHEN Jie-min, WANG Ya-hui et al. • Fayixue Zazhi (2024)

ObjectiveTo investigate the value of wrist MRI in bone age estimation for male adolescents in Shanghai, Zhejiang and Jiangsu.MethodsA total of 124 Han male adolescents aged 6.0 to 18.0 years from Shanghai, Zhejiang and Jiangsu were selected...

DOAJ Open Access (DOAJ) DOI: 10.12116/j.issn.1004-5619.2023.231203

Identifying peer experts in online health forums

V.G.Vinod Vydiswaran, Manoj Reddy • BMC Medical Informatics and Decision Making (2019)

Abstract Background Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the members of ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-019-0782-3

Quantum Computing in Machine Learning - The Future of Quantum Computing

R Vinutha, V Haripriya • International Journal of Advanced Research in Science Communication and Technology (2024)

In order to solve challenging optimization issues, analyze data effectively, and improve the capabilities of current machine learning algorithms, quantum computing has the potential to revolutionize the area of machine learning. The propose...

OPENALEX Open Access DOI: https://doi.org/10.48175/ijarsct-15955

A neural network approach to ordinal regression

Jianlin Cheng, Zheng Wang, Gianluca Pollastri • International Joint Conference on Neural Networks (IJCNN) (2008)

Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional neural network to learn ordinal categories. Our approach is a gen...

OPENALEX Open Access DOI: https://doi.org/10.1109/ijcnn.2008.4633963

Self-Normalizing Neural Networks

Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter • arXiv (Cornell University) (2017)

Deep Learning has revolutionized vision via convolutional neural networks (CNNs) and natural language processing via recurrent neural networks (RNNs). However, success stories of Deep Learning with standard feed-forward neural networks (FNN...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1706.02515

Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long et al. • Science and Technology of Nuclear Installations (2017)

High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plan...

DOAJ Open Access (DOAJ) DOI: 10.1155/2017/3721578

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

Detecting Fake News in Urdu Language Using Machine Learning, Deep Learning, and Large Language Model-Based Approaches

Muhammad Shoaib Farooq, Syed Muhammad Asadullah Gilani, Muhammad Faraz Manzoor, Momina Shaheen • Information (2025)

Fake news is false or misleading information that looks like real news and spreads through traditional and social media. It has a big impact on our social lives, especially in politics. In Pakistan, where Urdu is the main language, finding ...

DOAJ Open Access (DOAJ) DOI: 10.3390/info16070595

Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection

Rittik Chandra Das Turjy, Fahmid Al Farid, Fahmid Al Farid, Md. Hasan Imam Bijoy et al. • Frontiers in Artificial Intelligence (2026)

Complex environment variability and limited computational resources in agricultural settings create challenges in automated detection in tropical regions, where jackfruit diseases pose major threats to harvest productivity and food security...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1884567

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

Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology

Hongjian Wang • Journal of Electrical and Computer Engineering (2023)

With the development of the economy and real-time embedded systems and the progress of science and technology, people’s economic income forms have undergone tremendous changes, and the concept of financial management has become clearer in p...

DOAJ Open Access (DOAJ) DOI: 10.1155/2023/5501265