Search Results - ((regression algorithm) OR (compression algorithms))

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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Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms by Ziyad Sami B.H., Ziyad Sami B.F., Kumar P., Ahmed A.N., Amieghemen G.E., Sherif M.M., El-Shafie A.

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Machine learning technique for the prediction of blended concrete compressive strength by Jubori, Dawood S. A., Abu B., Nabilah, Safiee, Nor A., Alias, Aidi H., Nasir, Noor A. M.

“…Generally, the BR algorithm gives a better overall performance, while underestimating the compressive strength compared to LM. …”
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Algorithm development for optimization of a refrigeration system by Izzat, Mohamad Adnan

“…By using the Statistica software the new algorithm was generate by using linear regression analysis and the algorithm defined as γ = 4.284109 - 0.057164 χR from the algorithm and the international domestic refrigerator using R-134a COP value, was showed that the optimum charge for the refrigerator system occur at 31.21psi.R…”
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Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection by Yap K.S., Wong S.Y., Tiong S.K.

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Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate by Nadimalla, Altamashuddinkhan, Masjuki, Siti Aliyyah, Gubbi, Abdullah, Khan, Anjum, Mokashi, Imran

“…This study investigates the use of ML algorithms to predict the compressive strength of grade 30 concrete, incorporating shredded PET bottles and M-sand as fine aggregates. …”
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Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows by Afzal, Asif, Aabid, Abdul, Khan, Ambareen, Khan, Sher Afghan, Rajak, Upendra, Verma, Tikendra Nath, Kumar, Rahul

“…Regression of both the pressures using a random forest classification algorithm is carried out. …”
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Apply and optimize machine learning algorithms for estimating battery health by Chin, Wai Yee

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Short term load forecasting using a hybrid neural network by Yap K.S., Abidin I.Z., Lim C.P., Shah M.S.

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Analysis of string matching compression algorithms by Nadarajan, Krishnaveny, Ahmad Zukarnain, Zuriati

Subjects: “…Computer algorithms…”
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Investigation of various algorithms on multichannel audio compression by Gunawan, Teddy Surya, Abdul Rashid, Siti Aisyah, Kartiwi, Mira

“…Out of various algorithms available, AC3, AAC, and Ogg have been selected as lossy compression algorithms, while FLAC and MPEG-4 ALS have been chosen as lossless compression algorithms. …”
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Multichannel audio compression: performance evaluation of various algorithms by Abdul Rashid, Siti Aisyah, Gunawan, Teddy Surya, Kartiwi, Mira

“…Out of various algorithms available, AC3, AAC, and Ogg have been selected as lossy compression algorithms, while FLAC and MPEG-4 ALS have been chosen as lossless compression algorithms. …”
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Thresholding and quantization algorithms for image compression techniques : a review by Lashari, Saima Anwar, Rosziati Ibrahim, Nik Shahidah Afifi Md Taujuddin, Norhalina Senan, Suhaila Sari

“…This paper presents a review of image compression principle, compression techniques and various thresholding algorithms (pre-processing algorithms) and quantization algorithm (post-processing algorithms). …”
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Thresholding and quantization algorithms for image compression techniques: a review by Lashari, Saima Anwar, Ibrahim, Rosziati, Md Taujuddin, Nik Shahidah Afifi, Senan, Norhalina, Sari, Suhaila

“…This paper presents a review of image compression principle, compression techniques and various thresholding algorithms (pre-processing algorithms) and quantization algorithm (post-processing algorithms). …”
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Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study by Abdellatief M., Hassan Y.M., Elnabwy M.T., Wong L.S., Chin R.J., Mo K.H.

“…In the current study, random forest (RF), support vector regression (SVR), and extreme gradient boosting (XGB) are used to forecast the compressive strength (CS) of UHPGC. …”

Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA) by Odeh, Ali Ahmad Alabd Abu

“…This study aims to use Wavelet Transform Algorithm for image compression. Multi-levels were used in this study with the aim to produce better results for compressing images.The Multi-level Wavelet Transform Algorithm (MWTA) consists of three phases namely, first level compression, second level compressing in the first level, and algorithm validation by compare.Therefore, Vaishnavi method is used to design and develop the prototype model.In this study, the experiment was conducted using different images (RGB). …”
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Second compression for pixelated images under edge-based compression algorithms: JPEG-LS as an example by Al-Khayyat, Kamal, Alshaikhli, Imad Fakhri Taha, Al-Hagery, Mohammed

“…This paper details the examination of a particular case of data compression, where the compression algorithm removes the redundancy from data, which occurs when edge-based compression algorithms compress (previously com- pressed) pixelated images. …”
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On randomness of compressed data using non-parametric randomness tests by Al-Khayyat, Kamal A., Alshaikhli, Imad Fakhri Taha, Vijayakumar, V.

“…Four randomness tests were used to test the outputs (compressed files) of four lossless compressions algorithms: JPEG-LS and JPEG-2000 algorithms are image-dedicated algorithms, while 7z and Bzip2 algorithms are generalpurpose algorithms. …”
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A Comparative Study on Compression of Different Image File Formats by Ooi, Poh San

“…In this project, an image compression format and algorithm has been analyses. …”
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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

“…In this paper, we propose a new lossless compression algorithm that can handle small data communication in WSNs. …”
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