Results 71 to 80 of about 61,045 (270)
International Journal of Sustainable Energy, 2021 The evolution of advanced metering infrastructure (AMI) has increased the electricity consumption data in real-time manifolds. Using this massive data, the load forecasting methods have undergone numerous transformations.
Sneha Rai, Mala De
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Integrating Kinetics into Synthetic Studies via Adaptable Concentration‐Dependent Yield Analysis
Advanced Science, EarlyView.A method to derive kinetic parameters from synthetic studies was developed and named concentration‐dependent yield analysis (CYAN). Using numerical Euler integration for kinetic regression, CYAN was proven adaptable to chemical and operational considerations and revealed unexpected template effects of a transition metal that mediated competitive ...
Xinyi Xiao +4 more
wiley +1 more source
Angewandte Chemie, EarlyView.Sun et al. proposed an axial boron coordination strategy to reconstruct the stereostructure of Cu SAzymes and enable them to serve as efficient laccase mimics for high‐throughput smart sensor array detection of phenolic pollutants in water phases. ABSTRACT Developing single‐atom nanozymes with stereoconfigurations is a new paradigm for biomimetic ...
Qijun Sun +8 more
wiley +2 more sources
Th1 and Th2 cytokines are elevated in HCV-infected SVR(-) patients treated with interferon-alpha [PDF]
, 2010 [[abstract]]Interferon-alpha-based treatment is a standard therapy to cure hepatitis C virus-infected patients. However, the reasons for the failure of interferon-alpha treatment in some patients have not been fully elucidated.
Wan, L (Wan, Lei); Kung, YJ (Kung, Yung-Jen); Lin, YJ (Lin, Ying-Ju); Liao, CC (Liao, Chiu-Chu); Sheu, JJC (Sheu, Jim J. C.); Tsai, YS (Tsai, Yuhsin); Lai, HC (Lai, Hsueh-Chou); Peng, CY (Peng, Cheng-Yuan); Tsai, FJ (Tsai, Fuu-Jen)
core
Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers
, 2015 The aim of the present study is to apply Support Vector Regression (SVR) method to predict bed load transport rates for three gravel-bed rivers. Different combinations of hydraulic parameters are used as inputs for modeling bed load transport using four ...
Roushangar, Kiyoumars, Koosheh, Ali
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Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Advanced Science, EarlyView.Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
A New Model for Transfer Learning-Based Mapping of Burn Severity
Remote Sensing, 2020 In recent years, global forest fires have occurred more frequently, seriously destroying the structural functions of forest ecosystem. Mapping the burn severity after forest fires is of great significance for quantifying fire’s effects on ...
Zhong Zheng +6 more
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An Integrated Artificial Intelligence Framework for Nanomedicine Engineering
Advanced Science, EarlyView.This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong +10 more
wiley +1 more source
Forecasting of Rice Harvest Results Using SVR Modeling Techniques
Jambura Journal of MathematicsForecasting is an activity that predicts future values {}{}by utilizing existing track record data. The object of this study is rice plants because they are the primary food source for the Indonesian people.
Devie Rosa Anamisa +7 more
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