Suchergebnisse - "Data-driven algorithms"

A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms von Zhang, Ming, Yang, Dongfang, Du, Jiaxuan, Sun, Hanlei, Li, Liwei, Wang, Licheng, Wang, Kai

“… and offer higher accuracy. Therefore, this paper reviews how to use the latest data-driven algorithms to predict the SOH of LIBs, and proposes a general prediction process, including the acquisition of datasets …”
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Data-driven algorithms for inverse design of polymers von Sattari, Kianoosh, Xie, Yunchao, Lin, Jian

“… The ever-increasing demand for novel polymers with superior properties requires a deeper understanding and exploration of the chemical space. Recently, …”
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Direct data-driven algorithms for multiscale mechanics von Prume, E., Gierden, C., Ortiz, M., Reese, S.

“… We propose a randomized data-driven solver for multiscale mechanics problems which improves accuracy by escaping local minima and reducing dependency on metric …”
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Diagnosing bias in data-driven algorithms for healthcare von Wiens, Jenna, Price, W. Nicholson, Sjoding, Michael W.

“… A recent analysis highlighting the potential for algorithms to perpetuate existing racial biases in healthcare underscores the importance of thinking carefully …”
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AADS: Augmented autonomous driving simulation using data-driven algorithms von Li, W, Pan, C W, Zhang, R, Ren, J P, Ma, Y X, Fang, J, Yan, F L, Geng, Q C, Huang, X Y, Gong, H J, Xu, W W, Wang, G P, Manocha, D, Yang, R G

“… Simulation systems have become essential to the development and validation of autonomous driving (AD) technologies. The prevailing state-of-the-art approach …”
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Modelling of soil permeability using different data driven algorithms based on physical properties of soil von Singh, Vijay Kumar, Kumar, Devendra, Kashyap, P.S., Singh, Pramod Kumar, Kumar, Akhilesh, Singh, Sudhir Kumar

“… In the current research, five different data driven algorithms namely Multilayer Perceptron (MLP), Co-Active Neuro-Fuzzy Inference System …”
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Nash Equilibria for Linear Quadratic Discrete-Time Dynamic Games via Iterative and Data-Driven Algorithms von Nortmann, Benita, Monti, Andrea, Sassano, Mario, Mylvaganam, Thulasi

“… Determining feedback Nash equilibrium solutions of nonzero-sum dynamic games is generally challenging. In this article, we propose four different iterative …”
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Open-source chemogenomic data-driven algorithms for predicting drug–target interactions von Hao, Ming, Bryant, Stephen H, Wang, Yanli

“… Abstract While novel technologies such as high-throughput screening have advanced together with significant investment by pharmaceutical companies during the …”
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Using data-driven algorithms for semi-automated geomorphological mapping von Giaccone, Elisa, Oriani, Fabio, Tonini, Marj, Lambiel, Christophe, Mariéthoz, Grégoire

“… In this paper, we compare the performance of two data-driven algorithms to deal with an automatic classification problem in geomorphology: Direct Sampling (DS) and Random Forest (RF …”
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Leveraging the Hankel norm approximation and data‐driven algorithms in reduced order modeling von Yu, Annan, Townsend, Alex

“… Summary Large‐scale linear time‐invariant (LTI) dynamical systems are widely used to characterize complicated physical phenomena. Glover developed the Hankel …”
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Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery von Deng, Zhongwei, Yang, Lin, Cai, Yishan, Deng, Hao, Sun, Liu

“… The key technology of a battery management system is to online estimate the battery states accurately and robustly. For lithium iron phosphate battery, the …”
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Effect of hydrogeochemical behavior on groundwater resources in Holocene aquifers of moribund Ganges Delta, India: Infusing data-driven algorithms von Saha, Asish, Pal, Subodh Chandra, Chowdhuri, Indrajit, Roy, Paramita, Chakrabortty, Rabin

“… One of the fundamental sustainable development goals has been recognized as having access to clean water for drinking purposes. In the Anthropocene era, rapid …”
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Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices von Dimple, Singh, Pradeep Kumar, Rajput, Jitendra, Kumar, Dheeraj, Gaddikeri, Venkatesh, Elbeltagi, Ahmed

“… Forecasting water quality parameters helps plan crop selection and irrigation strategies but is often costly because many parameters are required, particularly …”
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Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation von Ludl, Dennis, Gulde, Thomas, Curio, Cristobal

“… Recognizing human actions, reliably inferring their meaning and being able to potentially exchange mutual social information are core challenges for autonomous …”
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Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment von Dimple, Dimple, Rajput, Jitendra, Al-Ansari, Nadhir, Elbeltagi, Ahmed

“… Ascertaining water quality for irrigational use by employing conventional methods is often time taking and expensive due to the determination of multiple …”
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Author Correction: Cautiously optimistic: paediatric critical care nurses’ perspectives on data-driven algorithms in low-resource settings—a human-centred design study in Malawi von Rakers, Margot, Mwale, Daniel, de Mare, Lieke, Chirambo, Lezzie, Bierling, Bart, Likumbo, Alice, Langton, Josephine, Chavannes, Niels, van Os, Hendrikus, Calis, Job, Dellimore, Kiran, Villalobos-Quesada, María

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Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review von Ramezani, Somayeh Bakhtiari, Cummins, Logan, Killen, Brad, Carley, Richard, Amirlatifi, Amin, Rahimi, Shahram, Seale, Maria, Bian, Linkan

“… Early detection of faulty patterns and timely scheduling of maintenance events can minimize risk to the underlying processes and increase a system's lifespan, …”
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Data-Driven Algorithms for Classification of In- and Outpatients in the Danish National Patient Register von Buchardt, Ann-Sophie, Madsen, Pi, Jensen, Andreas

“… The Danish National Patient Register (DNPR) is an important data source for research providing detailed information on all hospital contacts in Denmark. With …”
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Convergence rate comparison of two data-driven algorithms to stochastic LQR problems von Li, Zonghan, Wang, Dong, Xin, Yanyi, Jiang, Xiushan, Zhang, Weihai

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Using Data-Driven Algorithms with Large-Scale Plasma Proteomic Data to Discover Novel Biomarkers for Diagnosing Depression von Ma, Simeng, Li, Ruiling, Gong, Qian, Lv, Honggang, Deng, Zipeng, Wang, Beibei, Yao, Lihua, Kang, Lijun, Xiang, Dan, Yang, Jun, Liu, Zhongchun

“… Given recent technological advances in proteomics, it is now possible to quantify plasma proteomes in large cohorts of patients to screen for biomarkers and to …”
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