Results 91 to 100 of about 200,311 (278)
Advanced Functional Materials, EarlyView.Photothermal, macroporous lignin‐based cryogels are engineered to convert sunlight into low‐grade heat. Integrated as stacked beds in a drum‐type device, a thin copper interlayer transfers waste heat between beds, enabling interlayer heat recovery and continuous solar cycling.
Jie Yan +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Ag+‐mediated hydrothermal crystal engineering promotes preferential [hk1]‐oriented growth of Sb2Se3 via an ultrathin MoOx interlayer, improving crystallinity and suppressing non‐radiative recombination. The optimized Ag+ treatment photocathode delivers 24.7 mA cm−2 at 0 VRHE and improved stability, revealing an ion‐modulated route to high‐performance ...
Ziying Zhang +10 more
wiley +1 more source
Boosting approach to brine viscosity estimation: Binary system development
Chemical Thermodynamics and Thermal AnalysisAccurate prediction of brine viscosity is essential for the design and optimisation of desalination, hydrometallurgical, and energy-storage systems. In this work, machine-learning-based regression models were developed to predict the viscosity of binary ...
Vinita Sangwan +3 more
doaj +1 more source
Soft Gradient Boosting Machine
, 2020 Gradient Boosting Machine has proven to be one successful function approximator and has been widely used in a variety of areas. However, since the training procedure of each base learner has to take the sequential order, it is infeasible to parallelize the training process among base learners for speed-up.
Feng, Ji +3 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Ni1‐Bi1 dual‐atom dopants are achieved for activating Ru lattices without blocking noble atoms. This model exhibits an ultralow overpotential of 11.4 mV and superb stability at 10 mA cm−2 toward hydrogen evolution reaction, enabling a proton exchange membrane water electrolyzer that needs only 2.233 V to reach 3.0 A cm−2 and operates stably at 1.0 A cm−
Shuiping Luo +17 more
wiley +1 more source
, 2021 Tiivistelmä. Tässä tutkielmassa käsitellään Gradient boosting algoritmia. Algoritmi käsittelee ohjatun oppimisen menetelmin läpi dataa ja pyrkii tekemään tämän avulla luotettavia ennusteita. Tutkielmassa käydään läpi yleisesti ohjattua oppimista ja päätöspuita sekä verrataan mahdollisia muita samankaltaisia menetelmiä.
openaire +1 more source
Rumboost: Gradient Boosted Random Utility Models
Transportation Research Part C: Emerging TechnologiesThis paper introduces the RUMBoost model, a novel discrete choice modelling approach that combines the interpretability and behavioural robustness of Random Utility Models (RUMs) with the generalisation and predictive ability of deep learning methods.
Nicolas Salvadé, Tim Hillel
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Accelerating Gradient Boosting Machine
, 2019 Gradient Boosting Machine (GBM) is an extremely powerful supervised learning algorithm that is widely used in practice. GBM routinely features as a leading algorithm in machine learning competitions such as Kaggle and the KDDCup. In this work, we propose Accelerated Gradient Boosting Machine (AGBM) by incorporating Nesterov's acceleration techniques ...
Lu, Haihao +3 more
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Gradient Boosted Normalizing Flows
, 2020 Appearing in the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver ...
Giaquinto, Robert, Banerjee, Arindam
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Advanced Functional Materials, EarlyView.Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng +8 more
wiley +1 more source