Results 171 to 180 of about 1,066,632 (248)

Identification of Influencing Factors on Proenvironmental Behaviour and Construction of a Causal Loop Diagram

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This study addresses the limitations of reductionist approaches to citizens' proenvironmental behaviour (PEB) by adopting a systems thinking perspective. Using qualitative system dynamics, it develops a causal loop diagram for proenvironmental behaviour (CLD‐PEB) that conceptualizes PEB as a dynamic system generated through interacting ...
Doyeon Ko, Sun‐Jin Yun, Tae‐Hoon Moon   +2 more
wiley   +1 more source

A tutorial for calculating field-specific effect size distributions. [PDF]

Behav Res Methods
Glaser BD, Kang H, Audunsdottir K, Sartorius AI, Quintana DS.   +4 more
europepmc   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration. [PDF]

Biomimetics (Basel)
Carrasco C, Crawford B, Valle C, Zulantay R, Giachetti G, Soto R.   +5 more
europepmc   +1 more source

Edge station deployment by fewest covered user first for cost improvement. [PDF]

Sci Rep
Shao K, Wang Y, Wang B, Sang Y.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Explaining success in Bayesian reasoning with the adaptive toolbox and expertise. [PDF]

Psychon Bull Rev
Fenwick H, Campitelli G, Thompson MB.
europepmc   +1 more source

Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao   +4 more
wiley   +1 more source

Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]

Sci Rep
Qi L, Lv C, Zhang T, Wang Y.
europepmc   +1 more source

Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao, Xiangtao Zheng, Jianhua Tao, Xiaoqiang Lu   +3 more
wiley   +1 more source