Results 21 to 30 of about 795,774 (269)

Towards Modified Entropy Mutual Information Feature Selection to Forecast Medium-Term Load Using a Deep Learning Model in Smart Homes

Entropy, 2020
Over the last decades, load forecasting is used by power companies to balance energy demand and supply. Among the several load forecasting methods, medium-term load forecasting is necessary for grid’s maintenance planning, settings of electricity ...
Omaji Samuel, Fahad A. Alzahrani, Raja Jalees Ul Hussen Khan, Hassan Farooq, Muhammad Shafiq, Muhammad Khalil Afzal, Nadeem Javaid   +6 more
doaj   +1 more source

Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite

Remote Sensing, 2022
Solar resource assessment is of paramount importance in the planning of solar energy applications. Solar resources are abundant and characterization is essential for the optimal design of a system. Solar energy is estimated, indirectly, by the processing
Jared D. Salinas-González, Alejandra García-Hernández, David Riveros-Rosas, Gamaliel Moreno-Chávez, Luis F. Zarzalejo, Joaquín Alonso-Montesinos, Carlos E. Galván-Tejada, Alejandro Mauricio-González, Adriana E. González-Cabrera   +8 more
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A Comprehensive Study on Integrating Clustering with Regression for Short-Term Forecasting of Building Energy Consumption: Case Study of a Green Building

Buildings, 2022
Integrating clustering with regression has gained great popularity due to its excellent performance for building energy prediction tasks. However, there is a lack of studies on finding suitable regression models for integrating clustering and the ...
Zhikun Ding, Zhan Wang, Ting Hu, Huilong Wang   +3 more
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In Silico Aptamer Docking Studies: From a Retrospective Validation to a Prospective Case Study'TIM3 Aptamers Binding

Molecular Therapy: Nucleic Acids, 2016
Complementing Systematic Evolution of Ligands by EXponential Enrichment (SELEX) technologies with in silico prediction of aptamer binders has attracted a lot of interest in the recent years. We propose a workflow involving 2D structure prediction, 3D RNA
Obdulia Rabal, Fernando Pastor, Helena Villanueva, Mario M Soldevilla, Sandra Hervas-Stubbs, Julen Oyarzabal   +5 more
doaj   +1 more source

Analysis of Age-Dependent Alterations in Excitability Properties of CA1 Pyramidal Neurons in an APPPS1 Model of Alzheimer’s Disease

Frontiers in Aging Neuroscience, 2021
Age-dependent accumulation of amyloid-β, provoking increasing brain amyloidopathy, triggers abnormal patterns of neuron activity and circuit synchronization in Alzheimer’s disease (AD) as observed in human AD patients and AD mouse models.
Paola Vitale, Ana Rita Salgueiro-Pereira, Carmen Alina Lupascu, Michael Willem, Rosanna Migliore, Michele Migliore, Hélène Marie   +6 more
doaj   +1 more source

Transcriptome data reveal gene clusters and key genes in pepper response to heat shock

Frontiers in Plant Science, 2022
Climate change and global warming pose a great threat to plant growth and development as well as crop productivity. To better study the genome-wide gene expression under heat, we performed a time-course (0.5 to 24 h) transcriptome analysis in the leaf ...
Bingqian Tang, Bingqian Tang, Bingqian Tang, Bingqian Tang, Xiumin Li, Xinhao Zhang, Qinbiao Yin, LingLing Xie, Xuexiao Zou, Xuexiao Zou, Xuexiao Zou, Xuexiao Zou, Feng Liu, Feng Liu, Feng Liu, Feng Liu, Xiongze Dai, Xiongze Dai, Xiongze Dai   +18 more
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Identification of Breast Cancer Immune Subtypes by Analyzing Bulk Tumor and Single Cell Transcriptomes

Frontiers in Cell and Developmental Biology, 2022
Background: The histological and molecular classification of breast cancer (BC) is being used in the clinical management of this disease. However, subtyping of BC based on the tumor immune microenvironment (TIME) remains insufficiently explored, although
Jia Yao, Shengwei Li, Shengwei Li, Shengwei Li, Xiaosheng Wang, Xiaosheng Wang, Xiaosheng Wang   +6 more
doaj   +1 more source

Penentuan Cluster Optimum pada Tingkat Pengangguran dan Tingkat Kemiskinan di Jawa Timur Menggunakan Algoritma Fuzzy C-Means

BIOS, 2020
There are many methods used in resolving data clustering. One of them is the Fuzzy C-Means (FCM) method, which is a reliable method to solve clustering problems in the East Java region.
Ari Eko Wardoyo, Nigati Tripuspita
doaj   +1 more source

Enhancing the Early Student Dropout Prediction Model Through Clustering Analysis of Students’ Digital Traces

IEEE Access
Educational Data Mining and learning analytics have gained significant prominence in recent years, garnering attention from researchers worldwide. This is primarily due to their potential to improve decision-making processes within higher education. This
Janka Pecuchova, Martin Drlik
doaj   +1 more source

Macroarray expression analysis of cytokines and prostaglandin metabolism–related genes in chronic rhinosinusitis

Journal of Allergy and Clinical Immunology: Global, 2023
Background: Chronic rhinosinusitis (CRS) can be divided into endotypes by functional or pathophysiologic findings. Objective: The aim of this study was to analyze the expression of cytokines, prostaglandin (PG) synthases, and their receptors related to ...
Aiko Oka, MD, Kengo Kanai, MD, Takaya Higaki, MD, Seiichiro Makihara, MD, Yohei Noda, MD, Shin Kariya, MD, Mizuo Ando, MD, Wataru Nishimura, MD, Mitsuhiro Okano, MD   +8 more
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