Results 101 to 110 of about 48,097 (299)
Deep Underground Science and Engineering, EarlyView.An intelligent inversion framework estimates the dilatancy angle of the surrounding rock from negative Poisson's ratio (NPR) anchor cable force histories. Numerical tunnel‐excavation simulations generate force data across a controlled dilatancy‐angle range, which are mapped to the target parameter using a sequential convolutional neural network (CNN ...
Li Cui +5 more
wiley +1 more source
Elevator dynamic monitoring and early warning system based on machine learning algorithm
IET Networks, EarlyView., 2022 In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley +1 more source
ANN prediction model of final construction cost at an early stage
Journal of Asian Architecture and Building EngineeringPrevious studies developed models to predict final construction cost (FCC) values based on many inputs, which makes them difficult to use. However, relying on models with relatively few inputs will reduce the accuracy of the prediction results.
Khalid S. Al-Gahtani +4 more
doaj +1 more source
, 2023 The paper "Discrete Chaotic Maps" serves as an introduction to the study of discrete chaotic maps and the relevant background necessary for their understanding. The aim of the paper was to explore chaos theory and dynamical systems, as well as to examine the applications of these maps in various areas such as generating pseudo random numbers ...
openaire +1 more source
Accuracy and MAPE of stock price prediction.
, 2016 Accuracy and MAPE of stock price prediction.
Hua-Wei Shen (302376) +3 more
core +1 more source
Energy Science &Engineering, EarlyView.Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Glazed transpired solar collectors achieve 48–75% efficiency and 11% more seasonal heat than unglazed designs by cutting convective losses, while both offer complementary benefits for ventilation preheating and dynamic wall insulation, with paybacks of 5.5–6.8 years.
Mohammad Fawaier +7 more
wiley +1 more source
MAPE for Decomposition method (Exponential Smoothing).
, 2014 MAPE for Decomposition method (Exponential Smoothing).
Xiaosong Li (135207) +3 more
core +1 more source
Energy Science &Engineering, EarlyView.This graphical abstract presents a solar‐powered reverse osmosis (RO) system for the Sundarbans, Bangladesh. Mechanistic modeling reveals a critical seasonal mismatch: during the monsoon, feed water salinity peaks (24.8 ppt) while solar irradiance drops significantly.
Debasish Sarker +3 more
wiley +1 more source
, 2022 La Organización para la Cooperación y el Desarrollo Económico (OECD) define a la Minería Artesanal y de Pequeña Escala (MAPE) como las operaciones de minería de carácter formal o informal con formas de exploración, extracción, procesamiento y transporte ...
Paternina Uribe, Roberth +2 more
core +1 more source