Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Zulkiflee A. Latif"'
Publikováno v:
Environmental Systems Research, Vol 8, Iss 1, Pp 1-15 (2019)
Abstract Background Forest stand density in tropical rainforests is crucial functional and structural variable of forest ecosystems in which above ground biomass can be derived. Currently, there is a growing demand for airborne and terrestrial LIDAR
Externí odkaz:
https://doaj.org/article/1a813eef7ecc45b2876b59754f6f7ec0
Autor:
Mohamad Nor Azra, Li Lian Wong, Hani Amir Aouissi, Ivar Zekker, Mohd Ashaari Amin, Wan Norazira Wan Adnan, Muhammad Fuad Abdullah, Zulkiflee Abd Latif, Mohd Iqbal Mohd Noor, Fathurrahman Lananan, Faezah Pardi
Publikováno v:
Animals, Vol 14, Iss 22, p 3259 (2024)
The journal retracts the article titled “Crayfish Research: A Global Scientometric Analysis Using CiteSpace” [...]
Externí odkaz:
https://doaj.org/article/b821801ec1914c8cb693d22d37cdc6be
Autor:
Mohamad Nor Azra, Mok Wen Jye, Hien Van Doan, Ivar Zekker, Muhammad Fuad Abdullah, Zulkiflee Abd Latif, Mohd Iqbal Mohd Noor
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
This study examined research and development of the commercially important marine lobster, in terms of descriptive metadata and scientometric analysis. We consider a collection of over 9,578 related articles to assess literature patterns and research
Externí odkaz:
https://doaj.org/article/91315600b5d848689acb39109d9f645c
Autor:
Mohamad Nor Azra, Mohd Iqbal Mohd Noor, Min Pau Tan, Mahmoud Dawood, Muhammad Amin, Ivar Zekker, Muhammad Fuad Abdullah, Zulkiflee Abd Latif, Faezah Pardi
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Determining how climate change affects aquatic organisms, such as fish is vital, since this could directly or indirectly impact food and protein sources that are important for human nutrition. Thus, identifying suitable organisms for studying the imp
Externí odkaz:
https://doaj.org/article/6bb44e66ff834badb879054f5d188a34
Autor:
Mohamad Nor Azra, Li Lian Wong, Hani Amir Aouissi, Ivar Zekker, Mohd Ashaari Amin, Wan Norazira Wan Adnan, Muhammad Fuad Abdullah, Zulkiflee Abd Latif, Mohd Iqbal Mohd Noor, Fathurrahman Lananan, Faezah Pardi
Publikováno v:
Animals, Vol 13, Iss 7, p 1240 (2023)
A scientometric analysis was conducted to investigate the trends and development of crayfish research in terms of literature published, author, affiliation, and countries’ collaborative networks, as well as the co-citation dataset (e.g., author, ar
Externí odkaz:
https://doaj.org/article/bdfc93e170944365ae127e8f3b0acc39
Publikováno v:
Jurnal Teknologi. 85:1-9
This study was designed to determine the canopy cover, c of the tropical forest and explore its effects on the interception loss amount. The study area was a reserved forest Lagong Hill Forest Reserve, Kepong, Selangor, Malaysia, where two plots with
Publikováno v:
EnvironmentAsia, Vol 10, Iss 2, Pp 135-146 (2017)
This study aims to fully integrated and validated spatial temporal statistical model using epidemiological data as a predictive model for surveillance and control of DF cases. Kernel-density estimation (KDE) method was carried out by using spatial un
Externí odkaz:
https://doaj.org/article/4c8cc369c0954b569923ae33b169f7a1
Autor:
Zulkiflee Abd Latif, Yousif A. Hussin, Syaza Rozali, Alan Blackburn, Biswajeet Pradhan, Nor Aizam Adnan
Publikováno v:
Geocarto international, 3247-3264. Taylor & Francis
STARTPAGE=3247;ENDPAGE=3264;ISSN=1010-6049;TITLE=Geocarto international
STARTPAGE=3247;ENDPAGE=3264;ISSN=1010-6049;TITLE=Geocarto international
The study involves an object-based segmentation method to extract feature changes in tropical rainforest cover using Landsat image and airborne LiDAR (ALS). Disturbance event that are represents the changes are examined by the classification of multi
Autor:
Nor Hafiza Aziz, Rohayu Haron Narashid, Tajul Rosli Razak, Siti Aminah Anshah, Noorfatekah Talib, Zulkiflee Abd Latif, Norhashila Hashim, Khairulazhar Zainuddin
Publikováno v:
2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 4s (2023); 392-399
Massive flood losses have prompted initiatives to reduce flooding all around the world. Flood risk assessment methods that are widely used nowadays include remote sensing and Geographic Information Systems (GIS). Both of these systems provide integra