Search Results - (( based optimization system algorithm ) OR ( data visualization a algorithm ))
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1
Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
Published 2023“…EMA belongs to the evolutionary computation group of nature-inspired metaheuristic algorithms and offers a promising solution. A comparative analysis is conducted with other well-known algorithms such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Biogeography-Based Optimization (BBO), Teaching-Learning Based Optimization (TLBO), and Beluga Whale Optimization (BWO). …”
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2
Optimization of the Jakim halal logo placement on qr code using enhanced genetic algorithm
Published 2018“…Unfortunately, most work placed a logo on QR code with low embedded data capacity. …”
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3
Using artificial intelligence search in solving the camera placement problem
Published 2022“…Two case studies are used to evaluate those algorithms, and the camera placement problem is formulated as a coverage maximization problem. …”
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4
Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm
Published 2010“…In this project, angles based control with Bees Optimization search algorithm were adopted to search with guidance the protein conformational space in order to find the optimum solution. …”
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5
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 -
6
Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
Published 2007“…The system includes a programmable visual stimulator, EEG amplifier with filter system, data acquisition card, and signal processing and classification algorithms. …”
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Conference or Workshop Item -
7
Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure
Published 2019“…As the amount of data generated is growing exponentially, harnessing such voluminous data has become a major challenge these years especially bibliographic data. …”
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Human presence detection system
Published 2024“…The system architecture includes microwave sensors for improved accuracy and reliability, ESP32 microcontrollers for data processing, and cloud-based platforms such as AWS IoT Core, Timestream, and Grafana for data storage and visualization. …”
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Final Year Project / Dissertation / Thesis -
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Advanced solar tracking system with temperature control and real-time monitoring
Published 2025“…These algorithms dynamically control the servo motor, relay module, and LCD display, adapting the system based on environmental conditions. …”
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Book Section -
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Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm
Published 2020“…We have used the Bat algorithm and fuzzy logic to optimize energy consumption and comfort index management. …”
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…In the next phase, the datasets are optimized using the Salp Swarm Algorithm (SSA), which improves classification accuracy. …”
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12
Development of IoT-based automated dynamic emergency response system against fire incidents in academic building
Published 2023“…The integration of BIM allows the system to provide a three-dimensional visualization of the site, enabling a more efficient and effective response to fire incidents. …”
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An efficient unknown detection approach for RFID data stream management system
Published 2025“…A novel algorithm called SWOR (Sliding Window XOR-based Detection) is introduced, specifically designed to identify unknown tags within RFID data streams. …”
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…These methods present a robust system that enables fully automated identification and removal of artifacts from EEG signals, without the need of visual inspection or arbitrary thresholding. …”
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15
Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…The objective is to enhance target marketing campaigns, increase success ratios, and identify potential customers with a higher probability of loan acceptance. This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
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16
Design and development of intelligent 3d model recognition and inspection system in die stamping industry
Published 2012“…To overcome this problem, a new defect inspection algorithm for stamped part is developed and tested. …”
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Technical Report -
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Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…The primary objective of this work is to create a comprehensive hand gesture recognition system capable of accurately recognizing a wide range of hand gestures while distinguishing between them based on gesture speed. …”
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18
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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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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20
Chemometrics analysis for the detection of dental caries via ultraviolet absorption spectroscopy / Katrul Nadia Basri
Published 2023“…The spectra were split into calibration and validation data using stratified random sampling for each of ICDAS class by a ratio of 80:20. …”
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