Results 61 to 70 of about 8,393 (214)

Corporate Dynamic Eco‐Innovation Capability and Carbon Emission Reduction: Evidence From African Listed Firms With the Role of Institutional Pressures

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite the global emphasis on simultaneous achievement of higher growth and lower pollution (green growth), the dynamic link between eco‐innovation and CO2 emissions remains inadequately understood globally and specifically in Africa, with a complex and diverse institutional and regulatory landscape.
Idorenyin J. Okon, Adeolu O. Adewuyi, Alex O. Acheampong   +2 more
wiley   +1 more source

Novel recursive least squares identification for a class of nonlinear multiple-input single-output systems using the filtering technique

Advances in Mechanical Engineering, 2016
In this article, we consider the identification problem of a class of nonlinear multiple-input single-output output-error autoregressive systems. First, a recursive generalized least squares algorithm using the auxiliary model identification idea is ...
Cheng Wang, Jing Xun
doaj   +1 more source

Modelling of wind power forecasting errors based on kernel recursive least-squares method

Journal of Modern Power Systems and Clean Energy, 2017
Forecasting error amending is a universal solution to improve short-term wind power forecasting accuracy no matter what specific forecasting algorithms are applied. The error correction model should be presented considering not only the nonlinear and non-
Man Xu, Zongxiang Lu, Ying Qiao, Yong Min   +3 more
doaj   +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

Net‐Zero Transition and Its Impact on Firms' Energy Efficiency and Economic Growth Within the Framework of Sustainable Development Goals: A Systematic Literature Review and Bibliometric Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT The transition to net zero (NZ) faces challenges such as uneven institutional readiness, fragmented policy frameworks and rising energy demands from population growth, economic expansion and artificial intelligence (AI). These obstacles are intensified by technological, financial and regulatory uncertainties that impede coordinated efforts ...
Mohamed Shrief, Jahira Debbarma, Lukman Akanbi, Duyen Chu   +3 more
wiley   +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

Minibatch Recursive Least Squares Q-Learning. [PDF]

Comput Intell Neurosci, 2021
Zhang C, Song Q, Meng Z.
europepmc   +1 more source

Agentic AI and Circular Procurement Performance: An Empirical Study

Business Strategy and the Environment, EarlyView.
ABSTRACT Organizations that practice circular procurement in this rapidly changing world face many uncertainties. However, emerging digital technologies, such as agentic AI, can help manage resources and improve responsiveness to better serve both internal and external customers.
Surajit Bag, Susmi Routray, Andrea Chiarini, Rasem Qudaih   +3 more
wiley   +1 more source

Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification

IEEE Access
We develop a recursive least squares (RLS) type algorithm with a minimax concave penalty (MCP) for adaptive identification of a sparse tap-weight vector that represents a communication channel.
Bowen Li, Suya Wu, Erin E. Tripp, Ali Pezeshki, Vahid Tarokh   +4 more
doaj   +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