Items where Author is "Osman, Mohamed Syazwan"

Beeswax: inovasi alternatif plastik pakai buang untuk golongan suri rumah / Mohamed Syazwan Osman. (2023) Bulletin. Bahagian Penyelidikan, Jaringan Industri, Masyarakat dan Alumni.

Modelling of rotary kiln incinerator for the disposal of hazardous waste / Anas Mohd Rashid, Mohamed Syazwan Osman and Mohd Rashid Mohd Yusof. (2020) In: UNSPECIFIED.

Prediction of Total Maximum Daily Loads (TMDLs) of pollutants in river by using artificial neural network (ANN) / Khairunnisa Khairudin, Mohamed Syazwan Osman and Syahrul Fithry Senin. (2020) In: UNSPECIFIED.

Finite element simulation of magnetic nanoparticles augmented polymeric microcapsules in anaerobic digestion / Saifuddin Zulkeflee, Mohamed Syazwan Osman and Nur Shafieza Azizan. (2020) In: UNSPECIFIED.

Light-powered micromotor: synthesis, motion behaviour and applications / Ts. Mohamed Syazwan Osman and Muhammad Ismail. (2020) In: UNSPECIFIED.

Comparative analysis in shoreline changes in Kelantan, Malaysia using Digital Shoreline Analysis System (DSAS) / Muhammad Zakwan Anas Abd Wahid, Mohamed Syazwan Osman and Samsul Setumin. (2023) ESTEEM Academic Journal, 19. pp. 109-117. ISSN 2289-4934

Recent advances on microplastics/nanoplastics interaction with plant species: A concise review / Nurfarwizah Adzuan Hafiz, Nurin Nabilah Jalaudin Basha, Mohamed Syazwan Osman. (2023) Malaysian Journal of Chemical Engineering and Technology (MJCET), 6 (2): 6. pp. 88-97. ISSN 2682-8588

Kesedaran terhadap isu kelestarian program Road to Low Carbon City / Mohamed Syazwan Osman. (2023) Bulletin. Bahagian Penyelidikan, Jaringan Industri, Masyarakat dan Alumni.

Grow Grove menyokong agenda kelestarian karbon biru / Mohamed Syazwan Osman. (2023) Bulletin. Bahagian Penyelidikan, Jaringan Industri, Masyarakat dan Alumni.

Statistical optimization and artificial neural network modelling of Annona Muricata (soursoup) leaves in supercritical carbon dioxide extraction / Muslihah Yusof ... [et al.]. (2020) In: UNSPECIFIED.

KITOVID: agenda pemerkasaan ekonomi pasca COVID / Mohamed Syazwan Osman. (2023) Bulletin. Bahagian Penyelidikan, Jaringan Industri, Masyarakat dan Alumni.

Smile: innovative facial mist / Amzamir Noor Kamarul Bahrin ... [et al.]. (2019) In: Academic Intellectual International Invention, Innovation & Design Book. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah, p. 35. ISBN 9789670314716

Melyna: innovative facial serum / Mohamed Syazwan Osman ... [et al.]. (2019) In: Academic Intellectual International Invention, Innovation & Design Book. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah, p. 52. ISBN 9789670314716

H-Balm: Harumanis-based relieving product / Mohamed Syazwan Osman ... [et al.]. (2019) In: Academic Intellectual International Invention, Innovation & Design Book. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah, p. 104. ISBN 9789670314716

Optimization of methylene blue dye degradation using heterogeneous Fenton-like reaction with Fe3O4 nanoparticles/PVDF macrospheres: A response surface methodology approach / Mohamed Syazwan Osman ... [et al.]. (2024) ESTEEM Academic Journal, 20. pp. 168-182. ISSN 2289-4934

Development of fig fruit ripeness classification using convolutional neural network / Siti Juliana Abu Bakar ... [et al.]. (2024) ESTEEM Academic Journal, 20. pp. 183-199. ISSN 2289-4934

Safe bites on the streets: an analysis of food safety and hygiene among Shah Alam's street food vendors / Muhammad ‘Arif Aizat Bashir ... [et al.]. (2024) e-Academia Journal, 13 (2). pp. 212-226. ISSN 2289 - 6589

Shield+: dari makmal ke pentas masyarakat / Mohamed Syazwan Osman. (2020) Bulletin. Faculty of Chemical Engineering.

Biosynthesis and characterization of gold and silver nanoparticles by pink guava (psidium guajava) waste extract / Norashikin Ahmad Zamanhuri, Mohamed Syazwan Osman and Rasyidah Alrozi. (2012) [Research Reports] (Unpublished)

A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.]. (2021) ESTEEM Academic Journal, 17. pp. 56-66. ISSN 2289-4934

Researcher Profiles : Faculty of Chemical Engineering. (2022)

Evaluation of air quality assessment in Seberang Jaya, Penang during Movement Control Order (MCO) 1.0 / Mohamed Syazwan Osman ... [et al.]. (2022) ESTEEM Academic Journal, 18: 14. pp. 150-159. ISSN 1675-7939

UiTM meterai kerjasama dengan AgroBank untuk melonjak kebolehpasaran graduan / Mohamed Syazwan Osman. (2022) UiTM MOU / MoA.

Wacana industri kajian impak alam sekeliling / Mohamed Syazwan Osman. (2020) Bulletin. Faculty of Chemical Engineering.

Ops! Pelajar balik kampung / Mohamed Syazwan Osman. (2020) Bulletin. Faculty of Chemical Engineering.

Webinar permodelan kualiti air / Mohamed Syazwan Osman. (2020) Bulletin. Faculty of Chemical Engineering.

Preparation of chemically treated rambutan (Nepheuum lappaceum L.) peel for the removal of basic and reactive dyes from aqueous solution / Rasyidah Alrozi, Norashikin Ahmad Zamanhuri and Mohamed Syazwan Osman. (2012) [Research Reports] (Unpublished)

Aktiviti terkini Chemical Engineering Students Society (ChESS) sesi 2020/2021 / Mohamed Syazwan Osman. Bulletin. Faculty of Chemical Engineering.

Muafakat membawa berkat / Mohamed Syazwan Osman. (2020) Bulletin. Faculty of Chemical Engineering.

Siri bedah artikel jurnal : pengurangan kandungan minyak dan mikroplastik dari air dengan menggunakan mikro-kapalselam (mikro-motor) dari bahan bermagnet / Mohamed Syazwan Osman. (2020) Bulletin. Faculty of Chemical Engineering.

Statistical optimisation for the formulation of edible bird nest-based instant soup using Response Surface Methodology (RSM) / Mohamad Haziq Aiman Ismail … [et al.]. (2022) Malaysian Journal of Chemical Engineering and Technology (MJCET), 5 (2): 9. pp. 115-122. ISSN 2682-8588

Colorimetric-based concentration measurement of manganese ions using spectroscopy approach / Nurul Hidayah Ali, Mohamed Syazwan Osman, Fatin Izyani Mohamad Robi, Mohd Rumaizan Maidan Dali, Mohamad Faizal Abd Rahman. (2023) Scientific Research Journal, 20 (1): 5. pp. 89-105. ISSN 2289-649X

Prediction of fruit ripening by Artificial Neural Network based on relationship between pectin and image analysis / Aisyah Sakina Shahrin ... [et al.]. (2020) In: UNSPECIFIED.

Artificial neural network: physico-chemical and macronutrients parameters in an aquaponic system / Qistina Khadijah Abd Rahman, T.s Mohamed Syazwan Osman and Dr Samsul Setumin. (2020) In: UNSPECIFIED.