Search Results - (( java implication _ algorithm ) OR ( knowledge evaluation step algorithm ))

Numerical analysis by Butcher, John

“…Much of this knowledge is in the form of algorithms for solving certain standard and widely used problems. …”
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Algorithmic approaches in model selection of the air passengers flows data by Ismail, Suzilah, Yusof, Norhayati, Tuan Muda, Tuan Zalizam

“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC) by Ahmad, Faudziah, Ku-Mahamud, Ku Ruhana, Sainin, Mohd Shamrie, Airuddin, Ahmad

“…The algorithm involved three main steps, filtration, recognition and detection.Artificial Bee Colony, Fuzzy Logic, Otsu and Geometry formula were incorporated to achieve the goal.Ninety-four leaf images were used in this algorithm combination experiment.The study was conducted in four phases, filtration, recognition, detection and evaluation.Comparison was made with four other algorithms, Otsu, Canny, Robert and Sobel. …”
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Adaptive Step Size Based Hill-Climb Search Algorithm for MPPT Control of DFIG-WECS With Reduced Power Fluctuation and Improved Tracking Performance by Uddin M.N., Amin I.K.

Rough Set Model For Component Extraction by Nur Faiqah ’Aqilah Fuaad, Nur Fatin Nabila Mohd Rafei Heng, Nurlida Basir, Nurzi Juana Mohd Zaizi

Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham by Amir Sham, Norfarhana Syamiza

“…Some of students come from regular schools and some of them are from technical secondary schools that have been exposed with programming subject. Thus, their knowledge higher than others. Therefore, Fuzzy Expert System (FES) for Evaluate Programming is built. …”
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Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance by Tan, Su Sze

“…The research methodology involves eight steps. The initial step is performed business understanding to gain insight of data mining on machine performances. …”
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Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron by Che Haron, Mohammad Bakri

“…This research proposes a Natphoric algorithrn to capture and simulate the expert kansei knowledge. The Natphoric algorithm is formulated to handle the complexity and flexibility in KE. …”
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Integration of knowledge-based seismic inversion and sedimentological investigations for heterogeneous reservoir by Shahbazi, A., Monfared, M.S., Thiruchelvam, V., Ka Fei, T., Babasafari, A.A.

“…The porosity model obtained by conventional method in previous step would be used for primary evaluation of the rules. …”
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A tool for addressing construct identity in literature reviews and meta-analyses by Larsen, Kai Rune T., Bong, Chih How

“…Through the adaptation and combination of different natural language processing (NLP) algorithms, six designs were created and evaluated against human expert decisions. …”
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Simulation on Emotion Recognition for Autism Therapy by Adzmi, Muhammad Azrin

“…Deriving an effective facial representation from authentic face snap shots is an essential step for a success facial features reputation. On this paper, we empirically evaluate facial representation based totally on statistical local functions, neighborhood Binary styles, for person-independent facial expression recognition. …”
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Image classification of Aedes mosquitoes using transfer learning / Zetty Ilham Abdullah by Abdullah, Zetty Ilham

“…Transfer learning concept in machine learning has been shown to improve learning of the targeted task by extending the original algorithm with knowledge gathered from the initial training to improve the performance of new model. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot by Eng, Swee Kheng

“…Therefore, additional algorithms are developed in order to remove the reflection and noise. …”
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A simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information sy... by Ming L.L.

Implementation of case-based reasoning in help desk system by Tee, Shih Min

“…In my system, it consists of the following steps which are case representation and storage, case matching and retrieval. …”
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Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman by Osman, Noor Diyana

“…The last part is the development of a metal artifact correction (MAC) algorithm and evaluation of the proposed algorithm in artifacts reduction in CT images. …”
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Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech by Seman N., Bakar Z.A., Bakar N.A., Mohamed H.F., Abdullah N.A.S., Ramakrisnan P., Ahmad S.M.S.

Performance analysis of bacterial genome assemblers using illumina next generation sequencing data / Nur ‘ Ain Mohd Ishak by Nur ‘ Ain , Mohd Ishak

“…This comparative study will advance the current knowledge of de novo genome assembly as it is the first step toward characterizing and revealing whole genomic information. …”
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Feature selection for financial data classification: Islamic finance application by Kartiwi, Mira, Gunawan, Teddy Surya, Arundina, Tika, Omar, Mohd. Azmi

“…Feature selection has been widely used in data preprocessing phase to improve the machine learning algorithm and model interpretability. However, there has been limited attention has been given on the evaluation of feature selection methods on its effectiveness to process input data for Induction Decision Tree (IDT). …”
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