Results 91 to 100 of about 102,342 (297)

Spatial Distribution and Monitoring of Land Subsidence Using Sentinel-1 SAR Data in Java, Indonesia

Applied Sciences
Java Island, located in Indonesia, is the country’s main island, with a population of 150 million, more than half the population of the country. There are at least four big cities located on the island that have seen fast development in the last 30 years.
Teguh P. Sidiq, Irwan Gumilar, Hasanuddin Z. Abidin, Irwan Meilano, Ayu Purwarianti, Rahayu Lestari   +5 more
doaj   +1 more source

Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems

IEEE Access, 2019
In this paper, an iterative learning recursive least squares (ILRLS) identification method is developed by considering a class of repetitive systems. First, considering a repetitive discrete-time system corrupted by white noise, we present a linear time ...
Na Lin, Ronghu Chi, Biao Huang
doaj   +1 more source

Hierarchic Kernel Recursive Least-Squares

, 2017
We present a new kernel-based algorithm for modeling evenly distributed multidimensional datasets that does not rely on input space sparsification. The presented method reorganizes the typical single-layer kernel-based model into a deep hierarchical structure, such that the weights of a kernel model over each dimension are modeled over its adjacent ...
Mohamadipanah, Hossein, Heydari, Mahdi, Chowdhary, Girish   +2 more
openaire   +2 more sources

Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study

Business Strategy and the Environment, EarlyView.
ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro, Cristina Ponsiglione, Simonetta Primario   +2 more
wiley   +1 more source

Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks

EURASIP Journal on Advances in Signal Processing, 2017
In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS algorithms for distributed parameter and spectrum estimation in ...
Ling Zhang, Yunlong Cai, Chunguang Li, Rodrigo C. de Lamare   +3 more
doaj   +1 more source

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks. [PDF]

Front Neuroinform, 2023
Arthur BJ, Kim CM, Chen S, Preibisch S, Darshan R.   +4 more
europepmc   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models. [PDF]

Wirel Pers Commun, 2022
Loughman M, Barton S, Farrell R, Dooley J.   +3 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Adaptive PI Control Using Recursive Least Squares for Centrifugal Pump Pipeline Systems

Machines
Pipeline transportation of petroleum products remains one of the safest and most efficient methods of bulk energy delivery, yet overpressure events continue to pose serious operational and regulatory challenges.
David A. Brattley, Wayne W. Weaver
doaj   +1 more source