Výsledky vyhledávání - building data controls and computational algorithms

An application status review of computational intelligence algorithm in GSHP field Autor Zhou, Shiyu, Liu, Dawei, Cao, Shubo, Liu, Xiaoping, Zhou, Yucheng

“…•Applications of computational intelligence algorithms in GSHP field are reviewed…”
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A coupled computational fluid dynamics and back-propagation neural network-based particle swarm optimizer algorithm for predicting and optimizing indoor air quality Autor Li, Lu, Zhang, Yumiao, Fung, Jimmy C.H., Qu, Huamin, Lau, Alexis K.H.

“…In the modern era, people spend approximately 90% of their time in indoor settings, such as offices and residential buildings…”
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A study on the transferability of computational models of building electricity load patterns across climatic zones Autor Ward, Rebecca, Wong, Cheryl Sze Yin, Chong, Adrian, Choudhary, Ruchi, Ramasamy, Savitha

“…•The Functional Data Analysis model gives insight into the data structure. Significant reduction in energy demand from non-domestic buildings is required if greenhouse emission reduction targets are to be met worldwide…”
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Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey Autor Zhang, Huiliang, Seal, Sayani, Wu, Di, Bouffard, Francois, Boulet, Benoit

“… Recently, with the growing accessibility to building control and automation data, data-driven solutions such as data-driven MPC and reinforcement learning (RL…”
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CytoPipeline and CytoPipelineGUI: a Bioconductor R package suite for building and visualizing automated pre-processing pipelines for flow cytometry data Autor Hauchamps, Philippe, Bayat, Babak, Delandre, Simon, Hamrouni, Mehdi, Toussaint, Marie, Temmerman, Stephane, Lin, Dan, Gatto, Laurent

“… iterative 2D gating) with automated data analysis pipelines. A crucial part of these pipelines consists of pre-processing and applying quality control filtering to the raw data, in order to use high quality events in the downstream analyses…”
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A Personalized Computational Model for Human-Like Automated Decision-Making Autor Jiang, Longsheng, Wang, Yue

“…We propose a computational model for enabling robots to automatically make decisions under risk in a human-like way…”
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Nonlinear evolutionary swarm intelligence of grasshopper optimization algorithm and gray wolf optimization for weight adjustment of neural network Autor Moayedi, Hossein, Nguyen, Hoang, Kok Foong, Loke

“…The advent of new data-mining techniques and, more recently, swarm-based optimization algorithms have antiquated traditional models in the field of energy performance analysis…”
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A Forecasting Approach for IoT-Based Energy and Power Quality Monitoring in Buildings Autor Panjaitan, Seno Darmawan, Tjen, Jimmy, Sanjaya, Bomo Wibowo, Wigyarianto, F. Trias P., Khouw, Stephanie

“… For the experimental setup, the monitoring system in a building supplied the data for forecasting consisting of daily energy consumption and power quality parameters…”
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Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset Autor Ancuceanu, Robert, Hovanet, Marilena Viorica, Anghel, Adriana Iuliana, Furtunescu, Florentina, Neagu, Monica, Constantin, Carolina, Dinu, Mihaela

“…Drug-induced liver injury (DILI) remains one of the challenges in the safety profile of both authorized and candidate drugs, and predicting hepatotoxicity from…”
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Computational Optimizations for Machine Learning

“… “Computational Optimizations for Machine Learning” of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence…”
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2-D Stochastic Configuration Networks for Image Data Analytics Autor Li, Ming, Wang, Dianhui

“… The technical essence lies in stochastically configuring the hidden nodes (or basis functions) based on a supervisory mechanism rather than data-independent randomization as usually adopted for building randomized neural networks…”
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Accurate and Efficient Indoor Pathfinding Based on Building Information Modeling Data Autor Zhou, Xiaoping, Xie, Qingsheng, Guo, Maozu, Zhao, Jichao, Wang, Jia

“… Currently, some efforts have utilized building information modeling (BIM) to generate either the grid-based map or the topological map…”
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An Efficient Spam Detection Technique for IoT Devices Using Machine Learning Autor Makkar, Aaisha, Garg, Sahil, Kumar, Neeraj, Hossain, M. Shamim, Ghoneim, Ahmed, Alrashoud, Mubarak

“…The Internet of Things (IoT) is a group of millions of devices having sensors and actuators linked over wired or wireless channel for data transmission…”
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Optimal design of building environment with hybrid genetic algorithm, artificial neural network, multivariate regression analysis and fuzzy logic controller Autor Zhang, Tianhu, Liu, Yuanjun, Rao, Yandi, Li, Xiaopeng, Zhao, Qingxin

“…Computational cost poses a major obstacle to the design of indoor environments with the current optimal method and computational fluid dynamics (CFD…”
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Integrated analysis of CFD data with K-means clustering algorithm and extreme learning machine for localized HVAC control Autor Zhou, Hongming, Soh, Yeng Chai, Wu, Xiaoying

“… This paper proposes a localized control strategy that uses Computational Fluid Dynamics (CFD) simulation results and K-means clustering algorithm to optimally partition an air-conditioned room into different zones…”
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Hot spot temperature prediction and operating parameter estimation of racks in data center using machine learning algorithms based on simulation data Autor Chen, Xianzhong, Tu, Rang, Li, Ming, Yang, Xu, Jia, Kun

“…In this paper, models to predict hot spot temperature and to estimate cooling air’s working parameters of racks in data centers were established using machine learning algorithms based on simulation data…”
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Prioritizing water distribution pipelines rehabilitation using machine learning algorithms Autor Elshaboury, Nehal, Marzouk, Mohamed

“… The proposed hybrid models are compared against the classical neural network, adaptive neuro-fuzzy inference system, and group method of data handling using four evaluation metrics. These metrics…”
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Joint Subcarrier and Power Allocation in NOMA: Optimal and Approximate Algorithms Autor Salaun, Lou, Coupechoux, Marceau, Chen, Chung Shue

“… Because of JSPA's intractability, a common approach in the literature is to solve separately the power control and subcarrier allocation…”
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An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning Autor Zhang, Xiangyu, Biagioni, Dave, Cai, Mengmeng, Graf, Peter, Rahman, Saifur

“… Existing optimization-based smart building control algorithms suffer from high costs on both building-specific modeling and on-demand computing resources…”
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Lightweight deep deterministic policy gradient for edge computing in recirculating aquaculture systems: real-time feeding control with reduced computational requirements Autor Elmessery, Wael M., Shams, Mahmoud Y., El-Hafeez, Tarek Abd, Szűcs, Péter, Eid, Mohamed Hamdy, Alhumedi, M., Ahmed, Atef Fathy, Elwakeel, Abdallah Elshawadfy

“…The deployment of advanced reinforcement learning algorithms in edge computing environments presents significant challenges for real-time aquaculture management, particularly in resource-constrained…”
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