Search Results - (( developing building optimisation algorithm ) OR ( java application path algorithm ))

Strategies for effective value management practice in construction industry by Zulhkiple, A. Bakar

“…This dissertation explores the development of VM methodology through the joint use of a finite element software (Etabs) and genetic algorithm (GA) optimisation design to minimise the cost value of buildings by optimising structural elements. …”
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Bee colony optimisation of the travelling salesman problem in light rail systems by Wang, Chen, Leong, Kah Huo, Abdul-Rahman, Hamzah

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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach by Haleem, A.A., Hashim, H., Varbanov, P.S., Yong, J.Y., Klemeš, J.J., Yusup, S.

“…To address this issue, P-graph modelling is used as the methodology to solve combinatorial complexity of the biomass supply chain in Federal Land Development Authority Jengka. Few possible locations for building new biomass processing plant and storage hubs were introduced in the optimisation problem. …”
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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector by Wang G., Mukhtar A., Moayedi H., Khalilpoor N., Tt Q.

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Bee colony optimised mass rapid transit routing prototype by Wang, Chen, Wood, Lincoln C., Lim, Arthur Davis, Abdul-Rahman, Hamzah

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Arfict: Indoor navigation mobile application using augmented reality (AR) for FICT by Lee, Chorng Huah

“…Navigation paths are optimised using the A* algorithm, while ARCore integrates sensor data from the device’s gyroscope and accelerometer to enhance tracking accuracy. …”
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Evaluate the performance of university course timetabling problem with different combinations of genetic algorithm by Foo, Yao Heng

“…Due to the effectiveness of genetic algorithm (GA) in optimisation problems, it has been widely discussed in numerous research to address UCTP. …”
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Gravitational energy harvesting system based on multistage braking technique for multilevel elevated car parking building by Al Kubaisi, Yasir Mahmood

“…Therefore, developing an efficient, reliable, and cost-effective systems are crucial in such high-consumption buildings. …”
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A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia by Setiawan, Rudi

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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning by Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah

“…Choosing a suitable optimization algorithm in deep learning is essential for effective model development as it significantly influences convergence speed, model performance, and the success of the train- ing process. …”
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Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin by Azmi, Muhammad, Mahyuddin, Muhammad Naim

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Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm by Haruna, Chiroma, Abdul-Kareem, Sameem, Mohd Nawi, Nazri, Gital, Abdulsam Ya'u, Shuib, Liyana, Abubakar, Adamu, Rahman, Muhammad Zubair, Herawan, Tutut

“…To improve effectiveness of the ANN, the cuckoo search algorithm was hybridised with accelerated particle swarm optimisation for training the ANN to build a model for the prediction of OPEC CO2 emissions. …”
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Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies by Han B., Zahraoui Y., Mubin M., Mekhilef S., Seyedmahmoudian M., Stojcevski A.

Malaysian secondary boarding school menu planning system / Suliadi F. Sufahani and Anuar M. Yusof by Sufahani, Suliadi Firdaus, Mohd Yusof, Anuar

“…The model was fathomed by utilising Binary Programming and "Sufahani-Ismail Algorithm" and a system was developed to comply with the problem. …”
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Correlation of Retinal Blood Vessel Tortuosity and Chronic Kidney Disease by Amirul Asyraf bin Mustapha Kamel

An enhanced synthetic oversampling framework with self-supervised contrastive learning for multi-class image imbalance by Xiaoling, Gao

“…The second contribution is the introduction of the Clustering and Nearest Centroid Neighbour-based Synthetic Minority Oversampling (CLNCN-SMOTE) algorithm to resolve multi-class imbalance. The algorithm is an enhancement of traditional K-means SMOTE that incorporates a nearest centroid neighbour strategy. …”
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Mathematical modelling and hybrid ACO-PSO technique for PV performance improvement by Ali Mahmood, Humada

“…Secondly, a hybrid Ant Colony Optimisation-Particle Swarm Optimisation (ACO-PSO) algorithm was proposed to optimally determine the MPPT parameters. …”
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Consolidated backpropagation neural network for Malaysian construction costs indices data with outliers problem by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Ramli, Norazan Mohamed

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