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1دورية أكاديمية
المؤلفون: Rasel Ahmed Bhuiyan, Nadeem Ahmed, Md Amiruzzaman, Md Rashedul Islam
المصدر: Sensors, Vol 20, Iss 23, p 6990 (2020)
مصطلحات موضوعية: human activity recognition (HAR), feature extraction, feature reduction, enveloped power spectrum (EPS), linear discriminant analysis (LDA), multi-class support vector machine (MCSVM), Chemical technology, TP1-1185
وصف الملف: electronic resource
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المصدر: International Journal of Machine Learning and Computing. 11:85-91
مصطلحات موضوعية: Scheme (programming language), Information Systems and Management, American Sign Language, Computer science, Speech recognition, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, language.human_language, Computer Science Applications, ComputingMethodologies_PATTERNRECOGNITION, Artificial Intelligence, Bag-of-words model, language, computer, Gesture, computer.programming_language
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1dfc977a7050a73f7dd92fca22043d11
https://doi.org/10.18178/ijmlc.2021.11.1.1018 -
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المؤلفون: Hongda Tian, Shams Tarek, Rasel Ahmed Bhuiyan
مصطلحات موضوعية: Computer science, business.industry, Feature extraction, 020206 networking & telecommunications, Pattern recognition, 02 engineering and technology, 0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering, Support vector machine, Activity recognition, Wavelet, Bag-of-words model, Feature (computer vision), Robustness (computer science), Histogram, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial Intelligence & Image Processing, Artificial intelligence, Electrical and Electronic Engineering, business
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfe0876afaf941658329a1143ce2f124
https://hdl.handle.net/10453/156560 -
4
المؤلفون: Amiruzzaman, Nadeem Ahmed, Rashedul Islam, Rasel Ahmed Bhuiyan
المصدر: Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 23
Sensors, Vol 20, Iss 6990, p 6990 (2020)مصطلحات موضوعية: Support Vector Machine, Computer science, Feature extraction, multi-class support vector machine (MCSVM), 02 engineering and technology, lcsh:Chemical technology, Accelerometer, 01 natural sciences, Biochemistry, Article, Analytical Chemistry, law.invention, Activity recognition, law, Accelerometry, 0202 electrical engineering, electronic engineering, information engineering, linear discriminant analysis (LDA), Humans, lcsh:TP1-1185, Human Activities, Electrical and Electronic Engineering, Instrumentation, Aged, feature reduction, enveloped power spectrum (EPS), business.industry, Dimensionality reduction, feature extraction, 010401 analytical chemistry, Discriminant Analysis, Gyroscope, Pattern recognition, Linear discriminant analysis, Atomic and Molecular Physics, and Optics, 0104 chemical sciences, Support vector machine, human activity recognition (HAR), 020201 artificial intelligence & image processing, Artificial intelligence, Noise (video), Smartphone, business, Algorithms
وصف الملف: application/pdf
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5Efficient Frequency Domain Feature Extraction Model using EPS and LDA for Human Activity Recognition
المؤلفون: Amiruzzaman, Rasel Ahmed Bhuiyan, Rashedul Islam, Nadeem Ahmed
المصدر: ICKII
مصطلحات موضوعية: Support vector machine, Activity recognition, Identification (information), ComputingMethodologies_PATTERNRECOGNITION, Discriminant, business.industry, Frequency domain, Dimensionality reduction, Feature extraction, Pattern recognition, Artificial intelligence, Linear discriminant analysis, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6e6458e26af183744dc74e23368c6b6e
https://doi.org/10.1109/ickii50300.2020.9318786 -
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المؤلفون: Rasel Ahmed Bhuiyan, Rajibul Islam, Nadeem Ahmed, Rashedul Islam
المصدر: 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM).
مصطلحات موضوعية: medicine.diagnostic_test, business.industry, Computer science, Dimensionality reduction, 0206 medical engineering, Feature extraction, Cardiac arrhythmia, Pattern recognition, 02 engineering and technology, Disease, 020601 biomedical engineering, Support vector machine, Discriminant, Principal component analysis, cardiovascular system, 0202 electrical engineering, electronic engineering, information engineering, medicine, 020201 artificial intelligence & image processing, cardiovascular diseases, Artificial intelligence, business, Electrocardiography
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::55992bd7a392db7fd237714deb9a7524
https://doi.org/10.1109/hnicem.2018.8666331 -
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المؤلفون: Rasel Ahmed Bhuiyan, Jungpil Shin, Ummey Kulsum Mitu, Rashedul Islam
المصدر: 2018 4th International Conference on Frontiers of Signal Processing (ICFSP).
مصطلحات موضوعية: American Sign Language, Computer science, Speech recognition, Feature extraction, 020207 software engineering, 02 engineering and technology, Sign language, Convolutional neural network, language.human_language, Support vector machine, Gesture recognition, 0202 electrical engineering, electronic engineering, information engineering, language, 020201 artificial intelligence & image processing, Sign (mathematics), Gesture
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c30f79d792186d398cf2e91a05b82b67
https://doi.org/10.1109/icfsp.2018.8552044 -
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المصدر: 2017 20th International Conference of Computer and Information Technology (ICCIT).
مصطلحات موضوعية: American Sign Language, Computer science, Speech recognition, 020208 electrical & electronic engineering, Feature extraction, Feature selection, 02 engineering and technology, Sign language, language.human_language, Feature Dimension, Gesture recognition, 0202 electrical engineering, electronic engineering, information engineering, Feature (machine learning), language, 020201 artificial intelligence & image processing, Hidden Markov model, Gesture
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0cb6c809449ba7f83ed3be6b0a2e0425
https://doi.org/10.1109/iccitechn.2017.8281833