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Proceedings of the fourth Internatio...
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International Conference on Trends in Computational and Cognitive Engineering (2022 :)
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Proceedings of the fourth International Conference on Trends in Computational and Cognitive Engineering = TCCE 2022 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Proceedings of the fourth International Conference on Trends in Computational and Cognitive Engineering/ edited by M. Shamim Kaiser ... [et al.].
其他題名:
TCCE 2022 /
其他題名:
TCCE 2022
其他作者:
Kaiser, M. Shamim.
團體作者:
International Conference on Trends in Computational and Cognitive Engineering
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
1 online resource (xxii, 539 p.) :ill., digital ;24 cm.
內容註:
Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification.
Contained By:
Springer Nature eBook
標題:
Computer engineering - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-19-9483-8
ISBN:
9789811994838
Proceedings of the fourth International Conference on Trends in Computational and Cognitive Engineering = TCCE 2022 /
Proceedings of the fourth International Conference on Trends in Computational and Cognitive Engineering
TCCE 2022 /[electronic resource] :TCCE 2022edited by M. Shamim Kaiser ... [et al.]. - Singapore :Springer Nature Singapore :2023. - 1 online resource (xxii, 539 p.) :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 6182367-3389 ;. - Lecture notes in networks and systems ;v. 618..
Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification.
This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the 4th International Conference on Trends in Cognitive Computation Engineering (TCCE 2022), hosted by Mawlana Bhashani Science and Technology University, Tangail, Bangladesh, during December 17-18, 2022. It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.
ISBN: 9789811994838
Standard No.: 10.1007/978-981-19-9483-8doiSubjects--Topical Terms:
695072
Computer engineering
--Congresses.
LC Class. No.: TK7885.A1
Dewey Class. No.: 621.39
Proceedings of the fourth International Conference on Trends in Computational and Cognitive Engineering = TCCE 2022 /
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Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification.
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