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Publicité

Faridahanim Ahmad ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Lee, Tsu Yian / Ahmad, Faridahanim / Sarijari, Mohd Adib (2025): Exploring Labor Presence in Work Zone and Tiling Trade Labor Productivity: The Moderating Role of Skilled-Labor Proportion. Dans: Journal of Construction Engineering and Management, v. 151, n. 1 (janvier 2025).

    https://doi.org/10.1061/jcemd4.coeng-14585

  2. Vighio, Anees Ahmed / Zakaria, Rozana / Ahmad, Faridahanim / Munikanan, Vikneswaran / Wahi, Noraziah / Aminuddin, Eeydzah / Jia Wen, Thong / Mohd Saha, Kamaliah / Umran, Nur Izyan Liyana / Pawłowicz, Joanna Agnieszka (2024): Overall Thermal Transfer Analysis of Glazing Facade Design for Passive Building Energy Efficiency. Dans: Civil and Environmental Engineering Reports, v. 34, n. 4 (21 octobre 2024).

    https://doi.org/10.59440/ceer/193131

  3. Lee, Tsu Yian / Ahmad, Faridahanim / Sarijari, Mohd Adib (2023): Current Status and Future Research Trends of Construction Labor Productivity Monitoring: A Bibliometric Review. Dans: Buildings, v. 13, n. 6 (23 mai 2023).

    https://doi.org/10.3390/buildings13061479

  4. Hamidon, Nuramidah / Harun, Sobri / Sunar, Norshuhaila Mohamed / Hamid, Nor Hazren A. / Muhamad, Mimi Suliza / Harun, Hasnida / Ali, Roslinda / Awang, Mariah / Rahman, Mohamad Ashraf Abdul / Ahmad, Faridahanim / Musa, Kamaruzaman / Yusof, Fatimah Mohamed / Mustafa, Mohd Syafiq Syazwan (2019): Prediction of Future Climate Change for Rainfall in the Upper Kurau River Basin, Perak Using Statistical Downscaling Model (SDSM). Dans: Civil Engineering and Architecture, v. 7 (novembre 2019).

    https://doi.org/10.13189/cea.2019.071404

  5. Hamid, Hazren A. / Harun, Hasnida / Sunar, Norshuhaila Mohamed / Ahmad, Faridahanim / Hamidon, Nuramidah / Muhamad, Mimi Suliza / Jasmani, Latifah / Suleiman, Norhidayah (2019): Predicting the Capability of Carboxylated Cellulose Nanowhiskers for the Remediation of Copper from Wastewater Effluent Using Statistical Approach. Dans: Civil Engineering and Architecture, v. 7 (novembre 2019).

    https://doi.org/10.13189/cea.2019.071407

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