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Nazmush Sakib
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Gaussian mixture model in clustering acoustic emission signals for characterizing osteoarthritic knees
TI Khan, N Sakib, MM Hassan, S Ide
Biomedical Signal Processing and Control 87, 105510, 2024
12024
UNSUPERVISED MACHINE LEARNING ALGORITHMS FOR CLUSTERING ACOUSTIC EMISSION FEATURES IN CHARAC-TERIZING OSTEOARTHRITIC KNEES
N Sakib, TI Khan, M Moznuzzaman, MM Hassan, S Ide
Proceedings of the International Congress on Sound and Vibration, 2022
12022
Acoustic Emission Features in Characterizing Osteoarthritic Knees by Applying Unsupervised Machine Learning Algorithm
N Sakib, TI Khan, MM Hassan, K Moe
Japan Non-Destructive Insp. Assoc. 23rd Acoust. Emiss., no, 2021
12021
Measurement of Acoustic Signals to Characterize Household Appliance Based on Sound Power and Directivity Analysis
TI KHAN, L HAKIM, N SAKIB, MA RAHMAN
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268 (6), 2362-2366, 2023
2023
ANALYSIS OF ACOUSTIC EMISSION WAVE PROPAGATION FOR A POINT SOURCE IN HOMOGENEOUS MATERIAL
AA Rashid, MTI Khan, N Sakib, MM Hasan, B Neher, M Moznuzzaman, ...
2021
Simulation of acoustic emission signal and its verification on a resonant sensor
AA Rashid, MTI Khan, N Sakib, T Nanami
A NEURAL NET CLUSTERING ALGORITHM BASED ON SELF-ORGANIZING MAP FOR PARTITIONING ACOUSTIC EMISSION FEATURES IN CHARACTERIZING OSTEOARTHRITIC KNEES
N Sakib, TI KHAN, M Moznuzzaman, T NANAMI
均質材料の診断のためのアコースティックエミッション波伝搬の評価
AA RASHID, MTI KHAN, N SAKIB
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Articles 1–8