Search Results - (( java implication based algorithm ) OR ( parameter _ compression algorithm ))
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Predicting uniaxial compressive strength using Support Vector Machine algorithm
Published 2019“…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
Published 2017“…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
Published 2011“…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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Proceeding Paper -
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Optimal design of a 3D-printed scaffold using intelligent evolutionary algorithms
Published 2016“…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.
Published 2009“…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
Published 2025Subjects:Article -
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…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
Published 2017“…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
Published 2024“…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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Thesis -
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The effect of key parameters on the design of an optimized CAES power plant
Published 2017“…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
Published 2010“…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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Final Year Project Report / IMRAD -
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…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
Published 2016“…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
Published 2022“…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
Published 2022“…Therefore, sophisticated ML approaches are applied in this study to predict the compressive strength of steel fiber reinforced HSC (SFRHSC). …”
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A New discrete cosine transform on face recognition through histograms for an optimized compression
Published 2015“…A system with large capacity requires a highly compressive technique for its efficiency. In this study, more efficient image compression algorithm was disclosed which reduced the size of original image drastically. …”
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An improved public key cryptography based on the elliptic curve
Published 2002“…The complexity analysis shows that whenever the sparse techniques are used, the improvement rises to 33 percent compared to the standard projective coordinate formula and improvement of 38 percent compared to affine coordinate. A new algorithm to compress and decompress the sparse elements algorithms are introduced to reduce the size of the transited parameters. …”
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