Search Results - (( developing building case algorithm ) OR ( java implication force algorithm ))
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Buildthermo: an algorithm for visualizing building heat dynamics / Amira Shazlin Adnan ... [et al.]
Published 2024“…Our innovative algorithm is rigorously developed and validated, delivering precise assessments and facilitating informed decision-making in urban development. …”
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Conference or Workshop Item -
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Intelligent multi-objective control and management for smart energy efficient buildings
Published 2016“…Building energy management has been primarily associated with development and implementation of an efficient control scheme. …”
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Article -
3
Intelligent multi-objective control and management for smart energy efficient buildings
Published 2016“…Building energy management has been primarily associated with development and implementation of an efficient control scheme. …”
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Article -
4
Strategies for effective value management practice in construction industry
Published 2017“…The investigated VM methods involved conducting building value analysis in the design stage. To demonstrate the validity and efficiency of the proposed optimisation algorithm, various case studies were conducted in Malaysia. …”
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Thesis -
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Multi-criteria evolutionary regression test prioritization for dynamic object-oriented programs
Published 2019“…To build confidence on software product, regression testing involving relevant test cases from existing test suite are executed on that software. …”
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6
A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…Its practical value is demonstrated through applications in residential, educational, and commercial buildings across various climate zones. These case studies highlight the framework’s capability to guide high-performance, sustainable, and climate-responsive building design. …”
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Energy consumption prediction by using machine learning for smart building: Case study in Malaysia
Published 2021“…Three methodologies which are Support Vector Machine, Artificial Neural Network, and k-Nearest Neighbour are proposed for the algorithm of the predictive model. Focusing on real-life application in Malaysia, two tenants from a commercial building are taken as a case study. …”
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Article -
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Online Programming Judge System (UOJ)
Published 2013“…This research conducts a study to build an Online Programming Judge system with a mechanism to generate test cases automatically using Particle Swarm Optimization (PSO) algorithm. …”
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Final Year Project -
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Decision tree as knowledge management tool in image classification
Published 2008“…Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.…”
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Conference or Workshop Item -
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Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau
Published 2020“…Four cases studies have investigated this research whereby case study-1 is to evaluate the most suitable position and orientation of a new machine to be placed in an existing production floor, case study-2 is to maximize the area given and further maximize the productivity by optimizing the production sequence, case study-3 is about identifying the best position of a shared facility whereas the case study-4 identified the most effective production sequence in a robotic conveyor cell. …”
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Thesis -
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Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling
Published 2018“…To illustrate the potential of built-in algorithm, a case study which emphasized on tumour was used. …”
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Proceeding Paper -
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Furthermore, the development in high-rise building and complexity of floor plan layout has greatly influenced indoor wayfinding. …”
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Comparison of UAV flying height parameter for crack detection applications / Wan Nurdayini Batrisyia Wan Ghazali
Published 2024“…Looking at the current scenario of development and the age of the structures in urban areas, there is a high significance of efficient and accurate building inspection methods. …”
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Student Project -
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Development Of A Library Navigation System Using Dijkstra’s Algorithm
Published 2024journal::journal article -
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Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems
Published 2017“…The results from each case study were compared with the best results of other optimization algorithms that reported in the recent literatures in order to test the effectiveness of proposed MFO. …”
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Research Report -
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Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications
Published 2026“…A sandbox for readers to learn, skill-build, and develop in, ‘Intelligent Energy Systems using BMO and EMA’ provides an indispensable guide to these cutting-edge AI tools for new and experienced readers.…”
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Book -
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Prediction of building damage induced by tunnelling through an optimized artificial neural network
Published 2018“…Accordingly, two case studies of damaged buildings were used to assess the ability of this model to predict the damage. …”
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Article -
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Prediction of building damage induced by tunnelling through an optimized artificial neural network
Published 2019“…Accordingly, two case studies of damaged buildings were used to assess the ability of this model to predict the damage. …”
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