Search Results - (( based optimization model algorithm ) OR ( time visualization based algorithm ))
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1
Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment
Published 2014“…SA based approach produced comparative result in a minimal execution time.…”
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Article -
2
Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm
Published 2025“…The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
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3
An adaptive HMM based approach for improving e-Learning methods
Published 2023“…This adaptive algorithm can thus be applied to any e-learning platform for optimal content delivery to its users in real-time. © 2014 IEEE.…”
Conference Paper -
4
Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle / Azadeh Kheirandish
Published 2016“…Recent models provide high accuracies using complex systems and complicated calculations using advanced optimization algorithms. …”
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5
Leveraging artificial intelligence in modern supply chains
Published 2025“…These predictions were converted into congestion factors and applied as dynamic weights within Dijkstra’s algorithm to compute adaptive delivery routes. A Streamlit-based dashboard was designed to visualize model performance, predicted traffic conditions, optimized routes, and system-level evaluations in a simulated real-time environment. …”
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6
Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah
Published 2021“…Based on investigation different architecture and parameter, the suitable deep learning model has been presented to get optimize best result and testing time. …”
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7
Enhancing unity-based AR with optimal lossless compression for digital twin assets
Published 2024“…In this study, an optimal model will be obtained that reduces both bundle size and time required in visualization, simultaneously reducing CPU and RAM usage on mobile devices. …”
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8
Development of IoT-based automated dynamic emergency response system against fire incidents in academic building
Published 2023“…Overall, the proposed system aims to improve the safety and security through real-time monitoring and response capabilities. By leveraging the power of IoT technology, machine learning algorithms and BIM, the proposed system aims to reduce the impact of fire disasters by providing accurate and timely information, route optimization and facilitating effective evacuation and rescue efforts. …”
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9
Edge assisted crime prediction and evaluation framework for machine learning algorithms
Published 2022“…Criminal risk is predicted using classification models for a particular time interval and place. To anticipate occurrences, ML methods such as Decision Trees, Neural Networks, K-Nearest Neighbors, and Impact Learning are being utilized, and their performance is compared based on the data processing and modification used. …”
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Conference or Workshop Item -
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UiTM Transportation Unit bus trip scheduling system / Noorzawanah Ab Rahim
Published 2009“…A heuristic is a method that might not always find the best solution but is guaranteed to find a good solution in reasonable time. The proposed heuristic algorithm is based on the simple greedy search, that guide the search efficiently and able to find good solutions. …”
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11
IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management
Published 2025“…Advanced data preprocessing, such as augmentation and normalization, ensures robust model training, while optimized algorithms guide waste sorting based on classification results. …”
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Proceeding -
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VMware as an intermediate platform between Windows 7 and Linux Fedora 15 for real-time Malaysian sign language translator
Published 2014“…Therefore, a client/server technology has secured much time during the MSL recognition system development and helped in terms of algorithms enhancement.…”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…Based on the final denoised images, the model has proven its reliability, in terms of both visual quality and quantitative evaluation. …”
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14
Hierarchical extreme learning machine based reinforcement learning for goal localization
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Proceeding Paper -
15
Deep Reinforcement Learning For Control
Published 2021“…The complete project is carried out in the CARLA simulator to determine how to operate in discrete action space using Deep Reinforcement Learning (DRL) algorithms. Gathering and evaluating a large amount of data is time and effortintensive. …”
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Monograph -
16
Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification
Published 2023“…To address these issues, we propose a comprehensive CNN-based model for real-time detection and classification of five primary emotions: anger, happiness, neutrality, sadness, and surprise. …”
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An autonomous wheelchair speed control using fuzzy logic controller / Muhammad Ashraf Mohamad Ghazali
Published 2025“…The hardware implementation successfully replicated the simulated results, demonstrating the effectiveness of the proposed FLC-based speed control system. The triangular membership function was confirmed as the optimal choice due to its faster response time and computational efficiency. …”
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18
Autism Face Detection System using Single Shot Detector and ResNet50
Published 2026journal::journal article -
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A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood
Published 2017“…A novel heuristic algorithm named as Headway and Order Scheme (HOS) is introduced to solve the rescheduling model. …”
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20
Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Therefore, by considering tracking as an optimisation problem, the proposed SwATrack algorithm searches for the optimal distribution of motion model without making prior assumptions, or prior learning of the motion model. …”
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