Transplant studies on tree saplings by Nuruddin, Ahmad Ainuddin, Hamzah, Mohd Basri

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Genetic improvement and propagation of multipurpose tree species by Awang, Kamis, Ab Shukor, Nor Aini, Tukiman, Dzulkifli, Teh, Latifah, Ngah, Md. Lokmal

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Genetic improvement and propagation of multipurpose tree species by Ab Shukor, Nor Aini, Awang, Kamis, Tukiman, Dzulkifli, Teh, Latifah, Ngah, Md. Lokmal, Ghani, Abdul Rasip

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Grading of shade tree saplings in the commercial nurseries by H., Zakaria, A., Zakaria

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Tree crop seedling transplanter ver-1 by Yahya, Azmi

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Water treeing in the solid insulator under ground cable by Tamsir, Tarmidi

“…This study is describes the work carried out the investigation of the problem of water trees in dielectrics used as insulation in high-voltage cables. …”
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A comparative study between rough and decision tree classifiers by Mohamad Mohsin, Mohamad Farhan

“…Theoretically, a good set of knowledge should provide good accuracy when dealing with new cases.Besides accuracy, a good rule set must also has a minimum number of rules and each rule should be short as possible.It is often that a rule set contains smaller quantity of rules but they usually have more conditions.An ideal model should be able to produces fewer, shorter rule and classify new data with good accuracy.Consequently, the quality and compact knowledge will contribute manager with a good decision model.Because of that, the search for appropriate data mining approach which can provide quality knowledge is important.Rough classifier (RC) and decision tree classifier (DTC) are categorized as RBC.The purpose of this study is to investigate the capability of RC and DTC in generating quality knowledge which leads to the good accuracy.To achieve that, both classifiers are compared based on four measurements that are accuracy of the classification, the number of rule, the length of rule, and the coverage of rule.Five dataset from UCI Machine Learning namely United States Congressional Voting Records, Credit Approval, Wisconsin Diagnostic Breast Cancer, Pima Indians Diabetes Database, and Vehicle Silhouettes are chosen as data experiment.All datasets were mined using RC toolkit namely ROSETTA while C4.5 algorithm in WEKA application was chosen as DTC rule generator.The experimental results indicated that both classifiers produced good classification result and had generated quality rule in different types of model – higher accuracy, fewer rule, shorter rule, and higher coverage.In term of accuracy, RC obtained higher accuracy in average while DTC significantly generated lower number of rule than RC.In term of rule length, RC produced compact and shorter rule than DTC and the length is not significantly different.Meanwhile, RC has better coverage than DTC.Final conclusion can be decided as follows “If the user interested at a variety of rule pattern with a good accuracy and the number of rule is not important, RC is the best solution whereas if the user looks for fewer nr, DTC might be the best choice”…”
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Above- and below-ground nitrogen contribution by legume tree to an associated corn crop by Abdul Rahman, Zaharah, Chintu, Richard

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Prediction Of PM10 Using Multiple Linear Regression And Boosted Regression Trees by Hamid, Nur Haziqah Mohd

“…The result shows that Multiple Linear Regression models (MLR) is the better model to predict the next day of PM10 concentration compared to Boosted Regression Trees (BRT).…”
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Mulch type effects on growth and production of fine roots of three ornamental tree species by Tasan, John, Abdullah, Zakaria

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Growth and survival performances of indigenous tree species planted in rehabilitation projects in Negeri Sembilan by Hamzah, Mohd Zaki

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Accumulation of heavy metals by flat tree-oyster Isognomon alatus, in Sepang rivers, Malaysia by Ismail, A., Saed, Katayon, Kusnan, Misri, Omar, H.

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Current Steering Digital Analog Converter (DAC) Using Partial Binary Tree Network (PBTN) by Mohammad Alias, Mohd Azim

“…Previous research is able to increase the boundaries of Partial Binary Tree Network (PBTN) to 8-Bits. In this research, DEM algorithm is used, known as Partial Binary Tree Network (PBTN) that been proposed from previous research that aims to push the boundaries of past research from 8-bits to 10-bits. …”
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study The Resistance To Tracking And Electrical Treeing Characteristics Of PP/EPDM Composite With Alumina And Organoclay Nano-Filler by Mohd Jamil, Mohamad Kamarol, Mariatti Jaafar @ Mustapha, Mariatti

Design and development of GIS spatial data for transmission and visualization through the web using tile tree method by Shaari, Nadzari, Daman, Daut, Kari, Sarudin, Ahmad, Ab. Rahman, Sulaiman, Sarina, Ali, Ahmad Fariz, Busu, Ibrahim

“…Data that been divided kept in a data structure knowns as quadTileTree. To represent data in the web, only tile that has been requested by the user will be sent out to display. …”
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Partial Binary Tree Network (PBTN)- A New Dynamic Element Matching (DEM) approach for Digital Analog Converter (DAC) by William, Yeap Keat Seong

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Time-Lapse Of Plant Movement Classification by Azreezul, Azrul Zhafran

“…Six markers were placed on identified locations of tree branches (top, middle and bottom) to enable the motion tracking. …”
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Classification Analysis Of The Badminton Five Directional Lunges by Ho, Zhe Wei

“…Conclusively, the identity, game reaction time and type of lunge were found being the key determinants for badminton lunge classification accounting for highest classification accuracy in REP Tree algorithm.…”
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Optimization Of Pre-Treatment Conditions Of Acid Blanching And Pectinase In Production Of Papaya Juice by Ariffin, Nurul Anis Jasmin

“…Due to early maturation, high production and high nutritional contents cause the papaya tree widely planted in Malaysia. Carica papaya is a climacteric fruit that will continue to ripen once being plucked from the tree. …”
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Molecular characterization of ornamental fish species (poeciliidae) using mitochondrial dna12s rRNA anD 16S rRNA genes by Ghazali, Siti Norsywazni

“…Interestingly, both mtDNA ribosomal genes showed similar result for neighbor joining tree.…”
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