Search Results - (( java implication based algorithm ) OR ( using class matching algorithm ))

Shape matching and object recognition using dissimilarity measures with Hungarian algorithm by Chitra, D., Manigandan, T., Devarajan, N.

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3D Gluing Defect Inspection System Using Shape-Based Matching Application From Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Lim Wee, Teck, Mohd Kazim, Mohd Nor Fakhzan

“…These paper stresses on the vision algorithm used which mainly focus on the shape matching properties to identify defects occur on the product. …”
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A 3D Gluing Defect Inspection System Using Shape-Based Matching Application from Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Mohamad Haniff , Harun, Lim , Wee Teck, Mohd Nor Fakhzan, Moha Kazim

“…These paper stresses on the vision algorithm used which mainly focus on the shape matching properties to identify defects occur on the product. …”
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DEFECT INSPECTION SYSTEM FOR SHAPE-BASED MATCHING USING TWO CAMERAS by Sulaiman , Marizan, Shah, HNM, Harun, Mohd Hanif, Fakhzan, MN

“…This research is regarding the application of a vision algorithm to investigates various approaches for automated inspection in of gluing process using shape-based matching application in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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Defect Inspection System for Shape-Based Matching Using Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

“…This research is regarding the application of a vision algorithm to investigates various approaches for automated inspection in of gluing process using shape-based matching application in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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Defect Inspection System For Shape-Based Matching Using Two Cameras by Sulaiman, Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

“…This research is regarding the application of a vision algorithm to investigates various approaches for automated inspection in of gluing process using shape-based matching application in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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Design Of Perturbative Hyper-Heuristics For Combinatorial Optimisation by Choong, Shin Siang

“…Exact algorithm is a sub-class of techniques that is able to guarantee global optimality. …”
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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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Designing an integrated AIOT system for tracking class attendance by Kuak, Xuan Ren

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Automated Students Attendance System by Diane Teng , Sim Lean

“…This work presents the computerized system of automated students' attendance system to implement genetic algorithms in a face recognition system. The extraction of face template particularly the T-zone (symmetrical between the eyes, nose and mouth) is performed based on face detection using specific HSV colour space ranges followed by template matching. …”
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Coronary artery segmentation in angiograms with pattern recognition techniques - a survey by Tayebi, Rohollah Moosavi, Sulaiman, Puteri Suhaiza, O. K. Rahmat, Rahmita Wirza, Dimon, Mohd Zamrin, Kadiman, Suhaini, Abdullah, Lilly Nurliyana, Mazaheri, Samaneh

“…In this paper, we have divided these algorithms into five major classes and propose a survey for the main class, pattern recognition, which is a famous technique in this manner. …”
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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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Semantic-Based Scalable Decentralized Resource Discovery by Mahamat Issa , Hassan, Azween, Abdullah

“…Peer-to-Peer (P2P) network architecture is used. The architecture has two layers; the first is to connect between the class heads and the second between each class members. …”
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Semantic-Based Scalable Decentralized Grid Resource Discovery by Mahamat Issa , Hassan, Azween, Abdullah

“…Two Peer-to-Peer (P2P) network layers are used; the first one to connect between the class heads and the second between each class members. …”
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Non-fiducial based electrocardiogram biometrics with kernel methods by Hejazi, Maryamsadat

“…At classification level, Gaussian multi-class Support Vector Machine (SVM) with the One-Against-All (OAA) approach is proposed to evaluate verification performance rates of the feature extraction algorithms. …”
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Automated Student Timetable Scheduling System based on Genetic Algorithm by Amirul Azuani, Romlee, Noor Ain, Rosly, Meng, Chuan Haw

“…These factors lead to several major problems identified during the enrollment period such as timetable clashing between students, continuous hours of lecture and difficulty to find a matching slot for the clashed courses. In order to solve these problems, automated timetable scheduling system based on genetic algorithm is proposed which is estimated to reduce the chances of class clashing and prevent continuous lecture time. …”
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Class attendance management system using face recognition by Abdul Rhman Salim, Omar, Olanrewaju, Rashidah Funke, Balogun, Wasiu Adebayo

“…By facing the camera, the camera will capture the image then pass it to the Raspberry Pi which is programmed to handle the face recognition by implementing the Local Binary Patterns algorithm LBPs. If the student's input image matches withthetrained dataset image the prototype door will open using Servo Motor, then the attendance results will be stored in the MySQL database. …”
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Band-Limited Phase-Only Correlation (Blpoc) Using Fpga For Finger Vein Recognition System by Tan, Chee Wei

“…A finger vein image database of 204 classes has been used to evaluate the performance of the proposed architecture. …”
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

“…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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Local DTW coefficients and pitch feature for back-propagation NN digits recognition by Sudirman, R., Salleh, Shahruddin Hussain, Salleh, Sh-Hussain

“…The speech recognition is performed using the back-propagation neural network (BPNN) algorithm to enhance the recognition performance. …”
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