Results 71 to 80 of about 7,371,142 (245)

Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis [PDF]

, 2010
A new tree-based graphical model — the dynamic staged tree — is used to model discrete-valued discrete-time multivariate processes which are hypothesised to exhibit certain symmetries concerning how situations might unfold.
Smith, JQ, Freeman, G, Jim Q. Smith, Freeman, Guy, Smith, J. Q., Guy Freeman   +5 more
core   +1 more source

Predictive Analytics by Using Bayesian Model Averaging for Large-Scale Internet of Things

International Journal of Distributed Sensor Networks, 2013
Massive events can be produced today because of the rapid development of the Internet of Things (IoT). Complex event processing, which can be used to extract high-level patterns from raw data, has become an essential part of the IoT middleware ...
Xinghui Zhu, Fang Kui, Yongheng Wang
doaj   +1 more source

A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment

Complex & Intelligent Systems, 2023
Healthcare tends to be one of the most complicated sectors, and hospitals exist at the core of healthcare activities. One of the most significant elements in hospitals is service quality level.
He Li, Mohammad Yazdi, Hong-Zhong Huang, Cheng-Geng Huang, Weiwen Peng, Arman Nedjati, Kehinde A. Adesina   +6 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Research of trust evaluation model based on dynamic Bayesian network

Tongxin xuebao, 2013
Trust evaluation model needs to be developed for trusted network.Based on interpersonal trust model in sociology,the trusted relationship between network nodes was researched,and a trust evaluation model based on dynamic bayesian network associating with
Hong-quan LIANG, Wei WU
doaj   +2 more sources

Review on Predictive Modelling Techniques for Identifying Students at Risk in University Environment

MATEC Web of Conferences, 2019
Predictive analytics including statistical techniques, predictive modelling, machine learning, and data mining that analyse current and historical facts to make predictions about future or otherwise unknown events.
Nik Nurul Hafzan Mat Yaacob, Safaai Deris, Asiah Mat, Mohd Saberi Mohamad, Siti Syuhaida Safaai   +4 more
doaj   +1 more source

A Dynamic Bayesian Network Approach for Analysing Topic-Sentiment Evolution

IEEE Access, 2020
Sentiment analysis is one of the key tasks of natural language understanding. Sentiment Evolution models the dynamics of sentiment orientation over time.
Huizhi Liang, Umarani Ganeshbabu, Thomas Thorne   +2 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source