Items with Index Term: fourier transform

Number of items: 9.

Aboshia, A M A; Rahmat, R A; Zain, M F M and Ismail, A (2017) Enhancing mortar strengths by ternary geopolymer binder of metakaolin, slag, and palm ash. International Journal of Building Pathology and Adaptation, 35(5), pp. 438-455.

Bhaurkar, V P and Thakur, A G (2019) Investigation of crack in beams using anti-resonance technique and FEA approach. Journal of Engineering, Design and Technology, 17(6), pp. 1266-1284. ISSN 1726-0531

Cheng, M. Y.; Khitam, A. F. K.; Vu, Q. T. and Widjaja, D. D. (2026) Satellite-inspired time-frequency deep learning for predicting and assessing financial health in general contractors. Journal of Construction Engineering and Management, 152(8): 04026120, ISSN 0733-9364

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Cheng, M. Y.; Vu, Q. T. and Yang, L. K. (2026) Multidimensional fall risk assessment for the real-time monitoring of construction site worker safety. International Journal of Construction Management, 26(7), pp. 1191-1221. ISSN 1562-3599

Hakkarainen, T E (2002) Studies on fire safety assessment of construction products. DSc(Tech) thesis, Tampereen Teknillinen Korkeakoulu, Finland.

Karunaratne, Banneka Mudiyanselage (1994) A new method of analysis for cyclic construction operations using systems engineering approach. PhD thesis, University of New South Wales, Australia.

Lee, W; Lin, K Y; Johnson, P W and Seto, E Y W (2022) Selection of wearable sensor measurements for monitoring and managing entry-level construction worker fatigue: A logistic regression approach. Engineering, Construction and Architectural Management, 29(8), pp. 2905-2923. ISSN 0969-9988

This list was generated on Sat Aug 22 02:05:04 2026 UTC.