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An improved full search block matching algorithm for imaging applications by AlDabbagh, S.S.M., Mabrouk, A.H., Alshaikhli, Imad Fakhri Taha

“…Full search block matching algorithm (FSBMA) for motion estimation requires a high level of computations, rendering the technique unsuitable for real-time imaging applications. …”
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Quality inspection of engraved image using based matching approach by Norazlina , Ahmad, Marizan, Sulaiman, Muhamad Khairi, Aripin

“…This experiment result shows that the algorithm works better with detection rate of 100% and matching accuracy of more than 98%. …”
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Artificial neural network and inverse solution method for assisted history matching of a reservoir model by Negash, B.M., Vel, A., Elraies, K.A.

“…The result of the case study has successfully demonstrated the efficacy of the proposed algorithm for history matching. © Research India Publications.…”
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PERSON IDENTIFICATION BASED ON MULTIMODAL BIOMETRIC RECOGNITION by ALEX, NG HO LIAN

“…In the process of fingerprint recognition, the ORB algorithm is recommended to use in feature matching. …”
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Web-based volunteer management system by Chang, Wei Hang

“…Key innovations include a weighted skill-matching algorithm that evaluates both skills importance level required and volunteer proficiencies, a distance-based matching algorithm using Google Maps Distance Matrix API, and leaderboard gamification elements for volunteer contribution recognition. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

“…This thesis therefore proposes a framework to address these issues through a two-step approach involving region matching and region labeling. Specifically, the objectives of this thesis are (i) to develop an image registration technique based on multigraph matching, (ii) to detect occluded objects through exploration of candidate object correspondences in longer frame sequences, and (iii) to develop a robust graph coloring algorithm for multiple moving object detection under different transformations. …”
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

“…To validate the research findings, a second experiment was conducted in a construction scenario, still utilizing two clips with closely matched risk degrees. It was demonstrated that the primary results derived from statistical analysis and machine learning modelling were remarkably consistent, thereby confirming the effectiveness and generalization of the proposed weight adjustment algorithm, particularly in situations with closely matched risk levels. …”
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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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Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm by Idris, Norisma, Baba, Mohd Sapiyan, Abdullah, Rukaini

“…In comparison to human performance, the algorithm's performance closely matched that of human with 94 accuracy in identifying the syntax level strategies. …”
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Web application vulnerabilities detection model by Buja, Alya Geogiana, Abd. Jalil, Kamarularifin, Mohd Ali, Fakariah, Abdul Rahman, Teh Faradilla

“…In addition, the proposed detection model will be able to generate the report regarding the level of vulnerability of the web application. The research will be carried out by using design string matching algorithm. …”
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The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan by Keshasni , Earichappan

“…Therefore, a novel MC sensor is an alternative tool to study muscle function. This study aims to develop a prediction model to predict muscle fatigue levels (100%-75%, 75%-50%, 50%-25%, 25%-0%) from muscle contraction and torque using Levenberg Marquardt algorithm. …”
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Development of improved bottleneck-based heuristic for re-entrant flow shop with dominant machine at M1 and M4 by Mohd Fidzwan, Md Amin Hamzas, Ahmad Bareduan, Salleh, Liyana, Tajul, Mohd Sabri, Hussin, Zailani, Zainal Abidin, Hasnul, Hadi

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Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang by Gao , Hanyang

“…The dissertation follows three objectives; to segment urban landmarks in an image, to develop an algorithm to quantify visual salience indicators for urban landmarks extraction, and to compare the performance of proposed algorithm in extracting urban landmarks between robot and human. …”
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Person Verification Based on Multimodal Biometric Recognition by Annie, Joseph, Ng, Alex Ho Lian, Kuryati, Kipli, Kho, Lee Chin, Dayang Azra, Awang Mat, Sia, Charlie Chin Voon, Chua, David Sing Ngie, Ngu, Sze Song

“…Next, two features are fused by using match score level fusion based on Weighted Sum-Rule. …”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

“…This research attempts to develop a new control algorithm to regulate the blood glucose level (BGL) for Type 1 Diabetes. …”
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New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad by Mohd Lokman, Anitawati, Ahmad, Aishah

“…The Filtering framework provides foundation in developing the algorithm for searching tools. This algorithm can be implemented in both website and search engine.…”
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Keyword Competition Approach In Ranked Document Retrieval by Sihombing, Poltak

“…We then compare the result of KC to the similarity level in Hopfield method. A prototype called Journal Browser System (JBS) based on this scheme was developed. …”
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Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

“…Alternatively, patch-matching algorithm was developed in success of the Fourier Transform method when results -were not favorable to it. …”
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A generalized mixed model framework for assessing fingerprint individuality in presence of varying image quality by Dass, S.C., Lim, C.Y., Maiti, T.

“…We develop algorithms based on the Laplace approximation of the likelihood and infer the unknown parameters based on this approximate likelihood. …”
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Facial image retrieval on semantic features using adaptive mean genetic algorithm by Shnan, Marwan Ali, Rassem, Taha H., Nor Saradatul Akmar, Zulkifli

“…The performance matrix of the AMGA was compared to those of particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and found to perform better; thus, proving its efficiency.…”
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