Adaptive Data Dimensionality Reduction for Chemical Process Modeling Based on the Information Criterion Related to Data Association and Redundancy

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.1c04926 ◽

2022 ◽

Author(s):

Lei Luo ◽

Ge He ◽

Chen Chen ◽

Xu Ji ◽

Li Zhou ◽

...

Keyword(s):

Dimensionality Reduction ◽

Process Modeling ◽

Chemical Process ◽

Data Association ◽

Information Criterion ◽

Data Dimensionality Reduction

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Terahertz spectroscopy combined with data dimensionality reduction algorithms for quantitative analysis of protein content in soybeans

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2021.119571 ◽

2021 ◽

Vol 253 ◽

pp. 119571

Author(s):

Xiao Wei ◽

Song Li ◽

Shiping Zhu ◽

Wanqin Zheng ◽

Yong Xie ◽

...

Keyword(s):

Quantitative Analysis ◽

Dimensionality Reduction ◽

Protein Content ◽

Terahertz Spectroscopy ◽

Data Dimensionality Reduction

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Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions

Software Practice and Experience ◽

10.1002/spe.2876 ◽

2020 ◽

Author(s):

Prateek Chhikara ◽

Nikhil Jain ◽

Rajkumar Tekchandani ◽

Neeraj Kumar

Keyword(s):

Dimensionality Reduction ◽

Industry 4.0 ◽

Future Research ◽

Research Directions ◽

Research Results ◽

Reduction Techniques ◽

Data Dimensionality Reduction ◽

Dimensionality Reduction Techniques ◽

Future Research Directions

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Big Data Dimensionality Reduction at IoT Edge Through Optical Graph Signal Processing

2020 IEEE 6th International Conference on Computer and Communications (ICCC) ◽

10.1109/iccc51575.2020.9345213 ◽

2020 ◽

Author(s):

Alireza Khodaei ◽

Jitender Deogun ◽

Dennis Alexander

Keyword(s):

Signal Processing ◽

Big Data ◽

Dimensionality Reduction ◽

Graph Signal Processing ◽

Data Dimensionality Reduction

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A Genetic Approach to Data Dimensionality Reduction Using a Special Initial Population

Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach - Lecture Notes in Computer Science ◽

10.1007/11499305_32 ◽

2005 ◽

pp. 310-316

Author(s):

M. Borahan Tümer ◽

Mert C. Demir

Keyword(s):

Dimensionality Reduction ◽

Initial Population ◽

Genetic Approach ◽

Data Dimensionality Reduction

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Data Dimensionality Reduction (DDR) Scheme for Intrusion Detection System Using Ensemble and Standalone Classifiers

Communications in Computer and Information Science - Advances in Computing and Data Sciences ◽

10.1007/978-981-13-9939-8_39 ◽

2019 ◽

pp. 436-451

Author(s):

Ashu Bansal ◽

Sanmeet Kaur

Keyword(s):

Intrusion Detection ◽

Dimensionality Reduction ◽

Intrusion Detection System ◽

Detection System ◽

Data Dimensionality Reduction

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The Sample and Instance Selection for Data Dimensionality Reduction

Recent Advances in Systems, Control and Information Technology - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-48923-0_13 ◽

2016 ◽

pp. 97-103 ◽

Author(s):

Sergey Subbotin ◽

Andrii Oliinyk

Keyword(s):

Dimensionality Reduction ◽

Instance Selection ◽

Data Dimensionality Reduction ◽

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Present Status and Future Tasks of Nonlinear Process Modeling for Control System Design in the Chemical Process Industry.

KAGAKU KOGAKU RONBUNSHU ◽

10.1252/kakoronbunshu.24.357 ◽

1998 ◽

Vol 24 (3) ◽

pp. 357-364 ◽

Author(s):

YOSHITOMO HANAKUMA

Keyword(s):

Control System ◽

System Design ◽

Process Modeling ◽

Present Status ◽

Chemical Process ◽

Nonlinear Process ◽

Process Industry ◽

Control System Design ◽

Chemical Process Industry

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Statistical analysis of array data: Dimensionality reduction, clustering, and regulatory regions

DNA Microarrays and Gene Expression ◽

10.1017/cbo9780511541773.007 ◽

2002 ◽

pp. 73-96 ◽

Keyword(s):

Statistical Analysis ◽

Dimensionality Reduction ◽

Regulatory Regions ◽

Data Dimensionality Reduction

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Chemical process modeling with multiple neural networks

2001 European Control Conference (ECC) ◽

10.23919/ecc.2001.7076515 ◽

2001 ◽

Author(s):

Wen Yu ◽

Francisco J. Pineda

Keyword(s):

Neural Networks ◽

Process Modeling ◽

Chemical Process ◽

Multiple Neural Networks

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Improved Approach of Seed Point Selection in RPCCL Algorithm for Aerial Remote Sensing Hyper-spectral Data Clustering with Data Dimensionality Reduction

Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007) ◽

10.1109/snpd.2007.258 ◽

2007 ◽

Author(s):

Xuefeng Liu ◽

Guangrong Ji ◽

Wencang Zhao ◽

Junna Cheng

Keyword(s):

Remote Sensing ◽

Dimensionality Reduction ◽

Spectral Data ◽

Data Clustering ◽

Point Selection ◽

Hyper Spectral ◽

Data Dimensionality Reduction ◽

Aerial Remote Sensing

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