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Innovations in soft computing and information technology : proceedings of ICEMIT 2017. Volume 3

저자: Jayeeta Chattopadhyay; Rahul Singh; Vandana Bhattacherjee
출판사: Singapore : Springer, 2019.
판/형식:   전자도서 : 문서 : 컨퍼런스 간행물 : 영어모든 판과 형식 보기
요약:
The book presents innovative scientific research works by academics, research scholars and students, presented at the 2017 International Conference on Energy, Materials and Information Technology at Amity University Jharkhand, India. It includes contributions on system solutions based on soft computing techniques, and covers innovative soft computing techniques and tools with advanced applications. A major focus of  더 읽기…
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장르/형태: Electronic books
Conference papers and proceedings
Congresses
추가적인 물리적 형식: Printed edition:
Printed edition:
자료 유형: 컨퍼런스 간행물, 문서, 인터넷 자료
문서 유형 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Jayeeta Chattopadhyay; Rahul Singh; Vandana Bhattacherjee
ISBN: 9789811331855 9811331855
OCLC 번호: 1082856662
메모: Includes author index.
설명: 1 online resource
내용: Intro; Preface; Acknowledgement; Contents; About the Editors; 1 Sinusoids and Its Orthogonality; 1 Introduction; 1.1 Definition of DFT; 1.2 Inverse DFT; 1.3 DFT Sinusoids; 2 Orthogonality of the DFT Sinusoids; 3 Conclusions; References; 2 A Case Study of Hindi-English Example-Based Machine Translation; 1 Introduction; 1.1 Machine Translation; 1.1.1 Direct Machine Translation (DMT); 1.1.2 Rule-Based Machine Translation (RBMT); 1.1.3 Interlingua-Based Translation (IBT); 1.1.4 Knowledge-Based Machine Translation (KBMT); 1.1.5 Statistical-Based Machine Translation (SMT) 1.1.6 Example-Based Machine Translation (EBMT)1.1.7 Hybrid-Based Machine Translation (HBMT); 1.1.8 Neural Machine Translation (NMT); 2 Literature Survey; 3 OpenNMT; 3.1 Dataset; 3.1.1 CFILT; 3.1.2 HindEncorp; 3.1.3 Tanzil Corp; 3.2 Methodology; 3.2.1 Normalization; 3.2.2 Tokenization; 3.2.3 Learning BPE; 3.2.4 Re-Tokenization; 3.2.5 Preprocessing; 3.2.6 Training; 3.2.7 Translation; 4 Results and Discussions; 5 Conclusions; References; 3 Comparative Study of Different Machine Learning Models for Breast Cancer Diagnosis; 1 Introduction; 2 Dataset Description; 3 Machine Learning Algorithms 3.1 Principal Component Analysis3.2 Linear Discriminant Analysis; 3.3 Logistic Regression; 3.4 KNN Classifier; 3.5 Support Vector Machines; 3.5.1 Linear Kernel SVM; 3.5.2 Polynomial Kernel SVM; 3.5.3 Radial Kernel SVM; 3.6 Naive Bayes Classifier; 3.7 Decision Tree; 3.8 Random Forest; 3.9 Stacking; 4 Results; 5 Conclusion; References; 4 A PID Load Frequency Controller Design via Pole Placement and Approximate Frequency Response Matching; 1 Introduction; 2 System Model and Design Method; 3 Simulation Result; 3.1 The Generation Rate Constraint; 3.2 Multi-area Power System; 4 Conclusion AcknowledgementsReferences; 5 Processor Scheduling in High-Performance Computing Environment Using MPI; 1 Introduction; 1.1 First-Come First-Serve (FCFS); 1.2 Shortest Job-First (SJF); 1.3 Genetic Algorithm (GA); 2 Literature Survey; 3 Research Methodology; 4 Results and Discussion; 5 Conclusion; References; 6 A Computer Vision-Based Gesture Recognition Using Hidden Markov Model; 1 Introduction; 1.1 Gesture Taxonomy; 1.2 Gesture Recognition Models; 1.2.1 3D Model-Based Algorithms; 1.2.2 Appearance-Based Models; 2 Literature Review; 3 Research Methodology; 4 Result and Discussion; 5 Conclusion
다른 제목 ICEMIT 2017
책임: edited by Jayeeta Chattopadhyay, Rahul Singh, Vandana Bhattacherjee.

초록:

The book presents innovative scientific research works by academics, research scholars and students, presented at the 2017 International Conference on Energy, Materials and Information Technology at  더 읽기…

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