Search Results - (( mobile evaluation step algorithm ) OR ( style classification _ algorithm ))

A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh by Hazem Jihad , Ali Badarneh

“…The second evaluation divides into three scenarios. The first one evaluates Coalition-Based Index-Tree framework independently, without any effect from Dynamic-Coalition framework and Static-Coalition algorithm. …”
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Classification of students' performance in computer programming course according to learning style by Norwawi N.M., Abdusalam S.F., Hibadullah C.F., Shuaibu B.M.

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Classification of Students' Performance in Computer Programming Course According to Learning Style by Norwawi, NM, Abdusalam, SF, Hibadullah, CF, Shuaibu, BM

“…The critical point of this study is the use of classification algorithm to extract patterns which are examined from the cognitive factor specific learning style. …”

Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

“…Performance of the proposed algorithm was evaluated on the developed number plates’ image database captured by mobile phone’s camera, i.e. 30 images. …”
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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat by Mohammadreza, Moohebat

“…After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
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User interface and interactivity design guidelines of algorithm visualization on mobile platform by Supli, Ahmad Affandi

“…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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Design of intelligent Qira’at identification algorithm by Kamarudin, Noraziahtulhidayu

“…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Penilaian esei berbantukan komputer menggunakan teknik Bayesian dan pengunduran linear berganda by Mohamad @ Hamza, Mohd. Azwan

“…MMB Technique only required a small size of training data. (3) Prediction process of writing style using Multiple Linear Regression (MLR) Algorithm. …”
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Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot by Eng, Swee Kheng

“…The main contribution of this research is on the use of computer vision techniques and computational mapping algorithms on a stereo-vision mobile robot for formulating the human perceptual map systematically, and evaluating the resulting human perceptual maps pertaining to both indoor and outdoor environments comprehensively. …”
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3D Point Cloud Data Registration Algorithm Based on Augmented Reality Technology by Liying Feng, Ng Giap Weng, Liyao Ma

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Development of hybrid artificial intelligent based handover decision algorithm by Aibinu, Abiodun Musa, Onumanyi, Adeiza J., Adedigba, A. P., Ipinyomi, M., Folorunso, T. A., Salami, Momoh Jimoh Eyiomika

“…The performance of the newly developed k � step ahead ANN based RSS prediction algorithm was evaluated using simulated and real data acquired from available mobile communication networks. …”
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Converged Classification Network For Matching Cost Computation by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

“…The proposed convolutional neural network designed with the output neurons in the classification part scaled-downin converging style. The raw cost generated aggregated by the normalized box filter. …”
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Analytical method for forensic investigation of social networking applications on smartphones by Dezfouli, Farhood Norouzizadeh

“…We hope this research can be a stepping stone for identifying a common methodology for investigation of all types of smartphone applications and serve as the first step toward developing a consistent digital forensic framework for social networking such as the one proposed and evaluated in this research.…”
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Discovering student learning styles in engineering mathematic at Politeknik Merlimau using neural network techniques by Mat Esa, Asmarizan

“…If questionnaires are too long, students tend to choose both answers arbitrarily instead of thinking about the result of the student’s learning style observed through analysis. This research identified the classification of students learning styles based on the Felder Silverman Learning dimension. …”
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Performances analysis of heart disease dataset using different data mining classifications by Wan Zunaidi, Wan Hajarul Asikin, Saedudin, RD Rohmat, Ali Shah, Zuraini, Kasim, Shahreen, Sen, Seah Choon, Abdurohman, Maman

“…There are many studies that explore the different classification algorithms for classification and prediction of heart disease. …”
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Hybrid intelligent approach for network intrusion detection by Al-Mohammed, Wael Hasan Ali

“…Clustering is the last step of processing before classification has been performed, using k-means algorithm. …”
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Semantic shot classification in soccer videos via playfield ratio and object size considerations. by Abdul Halin, Alfian, Mohd Sharef, Nurfadhlina, Jantan, Azrul Hazri

“…This paper presents a semantic shot classification algorithm for soccer videos. Generally, each shot within a match video is assigned either a far or close up-view class label. …”
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Human gait recognition and classification using similarity index for various conditions by Makhdoomi, Nahid A., Gunawan, Teddy Surya, Habaebi, Mohamed Hadi

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Human gait recognition and classification using similarity index for various conditions by Makhdoomi, Nahid A., Gunawan, Teddy Surya, Habaebi, Mohamed Hadi

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Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy by Al-Dabbagh, Rawaa Dawoud, Neri, Ferrante, Idris, Norisma, Baba, Mohd Sapiyan

“…DE is very sensitive to its parameter settings and mutation strategy; thus, this study aims to investigate these settings with the diverse versions of adaptive DE algorithms. This study has two main objectives: (1) to present an extension for the original taxonomy of evolutionary algorithms (EAs) parameter settings that has been overlooked by prior research and therefore minimize any confusion that might arise from the former taxonomy and (2) to investigate the various algorithmic design schemes that have been used in the different variants of adaptive DE and convey them in a new classification style. …”
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