Results 141 to 150 of about 348,888 (311)

A Semantic Grid Service for Experimentation with an Agent-Based Model of Land-Use Change [PDF]

Agent-based models, perhaps more than other models, feature large numbers of parameters and potentially generate vast quantities of results data. This paper shows through the FEARLUS-G project (an ESRC e-Social Science Initiative Pilot Demonstrator ...
Edoardo Pignotti, Nicholas M. Gotts, Pete Edwards, Alun Preece, J. Gary Polhill   +4 more
core  

A Decision-Support Framework for Contracted Demand and Tariff Management in Brazilian Group A Consumers

Energies
Large electricity consumers under Brazilian Group A tariffs face a cost–risk trade-off when defining contracted demand, since inadequate sizing leads either to payments for unused capacity or to penalties for exceeding regulatory limits.
Cleydson Matos Lima, Jonathan Muñoz Tabora, Cezar Augusto Rocha, Carminda Célia Moura de Moura Carvalho, Ubiratan H. Bezerra, Maria Emília de Lima Tostes   +5 more
doaj   +1 more source

A novel LSTM-CNN-grid search-based deep neural network for sentiment analysis. [PDF]

J Supercomput, 2021
Priyadarshini I, Cotton C.
europepmc   +1 more source

Recent Developments in Energy Storage and Conversion Applications of Multifunctional Vanadium Carbides

Advanced Materials Technologies, EarlyView.
This review systematically explains the synthesis, properties, and energy storage and conversion applications of vanadium carbides. We introduce the structural and the synthetic strategies and reviewed recent developments in the material synthesis processes. The emerging applications of vanadium carbides in energy storage and conversion are highlighted.
Swathy B. Saseendran, Sang Mun Jeong, Chandra Sekhar Rout   +2 more
wiley   +1 more source

High‐Performance Piezoelectric Nanogenerators Based on Wurtzite BeO Nanowire Arrays

Advanced Materials Technologies, EarlyView.
This study demonstrates high‐performance piezoelectric nanogenerators based on 1D BeO nanowire arrays. The BeO nanowires exhibit a high piezoelectric coefficient (∼15.8 pm V−1) and deliver an output voltage of ∼26.1 V and power density of ∼0.32 µW cm−2.
Yoonseo Jang, Jihyeon Park, Seoyeah Oh, Jonghyun Bae, Prakash R. Sultane, Christopher W. Bielawski, Jiwon Kim, Jungwoo Oh   +7 more
wiley   +1 more source

Identification of key sentences in a text

Frontiers in Artificial Intelligence
Human evaluation of students' summative assessments requires significant time and cognitive effort. Existing automated evaluation models struggle to provide accurate evaluations for various reasons. The complexity increases with lengthy student responses,
N. Veer Viswajit, L. Jeganathan, M. Janaki Meena, Jayaram Balabaskaran, Ummity Srinivasa Rao   +4 more
doaj   +1 more source

Grid Search for Lowest Root Mean Squared Error in Predicting Optimal Sensor Location in Protected Cultivation Systems. [PDF]

Front Plant Sci, 2022
Uyeh DD, Iyiola O, Mallipeddi R, Asem-Hiablie S, Amaizu M, Ha Y, Park T.   +6 more
europepmc   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

Advanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov, Mahdi Shanei, Mikael Käll   +2 more
wiley   +1 more source

A Novel Quad Harmony Search Algorithm for Grid-based Path Finding

, 2014
A novel approach to the problem of grid-based path finding has been introduced. The method is a blockbased search algorithm, founded on the bases of two algorithms, namely the quad-tree algorithm, which offered a great opportunity for decreasing the ...
Panov, Stojanche, Koceski, Saso, Koceska, Natasa   +2 more
core  

Comparative Evaluation of Machine Learning and Hyperparameter Optimization Methods for Low-Cost CO₂ Sensor Calibration in Terms of Performance and Computational Cost

Sensors
Low-cost sensors (LCSs) are increasingly used in air quality monitoring because of their affordability and scalability; however, their limited accuracy necessitates reliable calibration approaches. Although machine learning (ML)-based calibration methods
Eren Cihan Karsu Asal, Mehmet Taştan, Hayrettin Gökozan, Müge Erel-Özçevik, Yusuf Özçevik   +4 more
doaj   +1 more source