Search Results - (( developing network replication algorithm ) OR ( java visualization learning algorithm ))
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Dynamic replication algorithm in data grid: Survey
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Book Section -
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Development of read-one-write-all synchronization transaction daemon (row A-STD) in distributed system
Published 2010“…A new algorithm has been designed and developed to manage replication and transaction using ROW A-MSTS prototype. …”
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Research Report -
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Monograph -
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Thesis -
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Conference or Workshop Item -
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Routing problem in rectangular mesh network using Dijkstra’s based Greedy method
Published 2018“…Therefore, developing a shortest path based routing algorithm is in need. …”
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Conference or Workshop Item -
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Secured agriculture sensor data based on end-to-end encryption using raspberry pi
Published 2025“…Additionally, a benchmarking tool was developed to evaluate and compare the performance of these algorithms in terms of speed, memory, CPU usage, and encryption overhead. …”
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Final Year Project / Dissertation / Thesis -
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Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil
Published 2024“…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
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Article -
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A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
Published 2024“…The built DCCRNN is based on the Salp Swarm optimization Algorithm (SSA), a processor that given a particular dataset will find the best CRNN’s structure and hyperparameters. …”
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Thesis -
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Proactive multi-copy routing protocol for urban vehicular ad hoc network
Published 2016“…A vehicular network topology is very dynamic compared to traditional mobile ad hoc network because of the movement and speed of the vehicles. …”
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Proactive multi-copy routing protocol for urban vehicular ad hoc network
Published 2015“…A vehicular network topology is very dynamic compared to traditional mobile ad hoc network because of the movement and speed of the vehicles. …”
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Finger-Vein Biometric Identification Using Convolutional Neural Network
Published 2016“…In this paper, a reduced-complexity four-layer CNN with fused convolutional-subsampling architecture is proposed for finger-vein recognition. For network training, we have modified and applied the stochastic diagonal Levenberg-Marquardt algorithm, which results in a faster convergence time. …”
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Design of smart waste bin and prediction algorithm for waste management in household area
Published 2018“…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on household size factor. …”
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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Thesis -
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Development of low-overhead soft error mitigation technique for safety critical neural networks applications
Published 2021“…Deep Neural Networks (DNNs) have been widely applied in healthcare applications. …”
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Thesis -
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)
Published 2026thesis::doctoral thesis -
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Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…Different machine learning algorithms (Artificial Neural Network [ANN], K Nearest Neighbor [KNN] and Support Vector Machine [SVM]) were tested individually and with various ensemble models (bagging, voting, and boosting) to detect the probability of the landslide and rockfall occurrences. …”
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