Search Results - (( java implementation path algorithm ) OR ( parameter _ compression algorithm ))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Predicting uniaxial compressive strength using Support Vector Machine algorithm by Zakaria, Hafedz, Abdullah, Rini Asnida, Ismail, Amelia Ritahani, Amin, Mohd For

“…Compressive strength is the most important parameter in rock since all loads will be transferred and rest on the rock which is based on the load bearing capacity of rock in compression. …”
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A new compression algorithm for small data communication in wireless sensor network by Tuama, Ammar Yaseen, Mohamed, Mohamad Afendee, Muhammed, Abdullah, Mohd Hanapi, Zurina

“…Using compression ratio, memory usage, number of instructions and execution speed as a comparison parameters, the proposed algorithm is measured against a set of existing algorithms. …”
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Speech compression using compressive sensing on a multicore system by Gunawan, Teddy Surya, Khalifa, Othman Omran, Shafie, Amir Akramin, Ambikairajah, Eliathamby

“…Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals, i.e. speech signal. …”
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Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment by Latif S.D.

Optimal design of a 3D-printed scaffold using intelligent evolutionary algorithms by Asadi-Eydivand, M., Solati-Hashjin, M., Fathi, A., Padashi, M., Abu Osman, Noor Azuan

“…Then, Pareto front optimization was used to determine the optimal setting parameters for the fabrication of the scaffolds with required compressive strength and porosity. …”
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Empirical evaluation of decomposition strategy for wavelet video compression. by Fakeh, Rohmad, Abd Ghani, Abdul Azim

“…The wavelet transform has become the most interesting new algorithm for video compression. Yet there are many parameters within a wavelet analysis andsynthesis which govern the quality of a decoded video. …”
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Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms by Abdellatief M., Wong L.S., Din N.M., Mo K.H., Ahmed A.N., El-Shafie A.

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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Shamshirgaran, S. Reza, Ameri, M, Khalajiassadi, Morteza, Ahmadi, M. Hossein

“…The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. …”
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Numerical simulation of hybrid composite tubes under oblique compression by Ismail, Al Emran, Nezere, N.

“…Therefore, this paper numerically presents the crushing performances of hybrid tubes under axial and oblique compressions. Design/methodology/approach – Three important parameters are used such as fiber thicknesses, fiber orientations and oblique compression angles. …”
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Enhanced Steganography Framework Based On Lossless Compression And Histogram by Kasasbeh, Dima Suliman Mohammad

“…The compression model was modified to include a hybrid lossless text compression algorithm to reduce redundant secret information and boost embedding capacity. …”
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The effect of key parameters on the design of an optimized CAES power plant by Khalaji Assadi , M, Shamshirgaran , S.R, Defaee Rad, S

“…This paper deals with a modeled compressed air energy storage power plant which has been optimized thermodynamically through an efficient genetic algorithm code. …”
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Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil by Yong, Shirley Xiao Wei

“…In current study, bore hole data was collected from JKR, Kuching to train and validate the neural network for the prediction of settlement rather than compression index (Cc). Artificial Neural Network is the potential software that suitable to perform a kind of function fitting by using multiple parameters on existing information and predict the possible relationship of compressibility characteristics for the soft soil, if the physical properties of soil e.g., moisture content, specific gravity, liquid limit etc. are known. …”
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

“…Almost two thirds of electrical output energy of a conventional gas turbine (GT) is consumed by its compressor section, which is the main motivation for the development of Compressed Air Energy Storage (CAES) power plants. The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. …”
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

“…Almost two thirds of electrical output energy of a conventional gas turbine (GT) is consumed by its compressor section, which is the main motivation for the development of Compressed Air Energy Storage (CAES) power plants. The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. …”
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Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques by Nafees, A., Amin, M.N., Khan, K., Nazir, K., Ali, M., Javed, M.F., Aslam, F., Musarat, M.A., Vatin, N.I.

“…ML algorithms are used to predict SFC compressive strength to promote the use of green concrete. …”
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Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete by Dai, L., Wu, X., Zhou, M., Ahmad, W., Ali, M., Sabri, M.M.S., Salmi, A., Ewais, D.Y.Z.

“…Therefore, sophisticated ML approaches are applied in this study to predict the compressive strength of steel fiber reinforced HSC (SFRHSC). …”
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