Results 21 to 30 of about 11,326 (149)

Accuracy indicators for evaluating retrospective performance of energy system models

, 2022
Retrospective evaluation of energy system models and scenarios is essential for ensuring their robustness for prospective policy support. However, quantitative evaluations currently lack systematic methods to be more holistic and informative.
Xin Wen, Evelina Trutnevyte, Wen, Xin, Trutnevyte, Evelina, Jaxa-Rozen, Marc, Marc Jaxa-Rozen   +5 more
core   +1 more source

Non-Symmetric Spatial-Temporal Network for Bus Origin–Destination Demand Prediction

, 2022
Urban public transport has become a preferred choice for alleviating traffic congestion. The bus passenger OD (origin–destination) demand prediction based on bus operational data is the key technology to realize urban intelligent transportation system ...
Wang, Peng, Dong, Yongfeng, Wang, Liqin, Wang, Yizheng   +3 more
core   +1 more source

Vertical wind speed extrapolation using statistical approaches [PDF]

FME Transactions
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H., Balghonaim Adil, Pahlevi Rizka Reza, Rehman S., Mohandes M.   +4 more
doaj   +1 more source

A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China

BMC Infectious Diseases, 2022
Background Tuberculosis (TB) is the respiratory infectious disease with the highest incidence in China. We aim to design a series of forecasting models and find the factors that affect the incidence of TB, thereby improving the accuracy of the incidence ...
Enbin Yang, Hao Zhang, Xinsheng Guo, Zinan Zang, Zhen Liu, Yuanning Liu   +5 more
doaj   +1 more source

A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks [PDF]

PeerJ Computer Science
Shared bikes, as an eco-friendly transport mode, facilitate short commutes for urban dwellers and help alleviate traffic. However, the prevalent station-based strategy for bike placements often overlooks urban zones, cycling patterns, and more, resulting
Chaoran Zhou, Jiahao Hu, Xin Zhang, Zerui Li, Kaicheng Yang   +4 more
doaj   +2 more sources

Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak [PDF]

PeerJ Computer Science, 2021
Background Forecasting the time of forthcoming pandemic reduces the impact of diseases by taking precautionary steps such as public health messaging and raising the consciousness of doctors.
Muhammad Naeem, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan   +5 more
doaj   +2 more sources

Data_Sheet_1_Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model.zip

, 2022
In this article, a new hybrid time series model is proposed to predict COVID-19 daily confirmed cases and deaths. Due to the variations and complexity in the data, it is very difficult to predict its future trajectory using linear time series or ...
Hassan M. Aljohani (11747450), Nadeem Iqbal (9020726), Dost Muhammad Khan (3368810), Muhammad Ali (266260), Umair Khalil (3368807), Amirah Saeed Alharthi (13176144), Ahmed Z. Afify (9311560)   +6 more
core   +1 more source

Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models

Remote Sensing, 2023
Estimating plant physiological indicators with remote sensing technology is critical for ensuring precise field management. Compared with other remote sensing platforms, low-altitude unmanned aerial vehicles (UAVs) produce images with high spatial ...
Shiyuan Liu, Bin Zhang, Weiguang Yang, Tingting Chen, Hui Zhang, Yongda Lin, Jiangtao Tan, Xi Li, Yu Gao, Suzhe Yao, Yubin Lan, Lei Zhang   +11 more
doaj   +1 more source

Prediction of air quality index based on the SSA-BiLSTM-LightGBM model

Scientific Reports, 2023
The air quality index (AQI), as an indicator to describe the degree of air pollution and its impact on health, plays an important role in improving the quality of the atmospheric environment.
Xiaowen Zhang, Xuchu Jiang, Ying Li
doaj   +1 more source

Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks

, 2020
Scoliosis is a condition defined by an abnormal spinal curvature. For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles.
Collery, Benjamin, Marleen de Bruijne, Renaudier, Antonin, Posocco, Nicolas, Wiro Niessen, Dubost, Florian, Renaudier, A, de Bruijne, Marleen; id_orcid, Nicolas Posocco, Roc, A, Niessen, Wiro, Collery, B, Benjamin Collery, Roc, Axel, de Bruijne, Marleen, Posocco, N, Axel Roc, Florian Dubost, Antonin Renaudier   +18 more
core   +1 more source