Search Results - Compressors - Performance - Data processing

Energy Performance Monitoring Framework for Dual-Shaft Gas Turbine-Driven Gas Compressors in Processing Plants.

Authors: El-Eishy, Mohamed M. Abdelalim, Galal M. Aboul-Fotouh, Tarek M.

Source: Petroleum & Coal. 2023, Vol. 65 Issue 4, p1087-1098. 12p.

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A study of the performance of general compressors on log files.

Authors: Yao, Kundi Li, Heng Shang, Weiyi et al.

Source: Empirical Software Engineering; Sep2020, Vol. 25 Issue 5, p3043-3085, 43p

Intelligent Condition Based Monitoring Using Acoustic Signals for Air Compressors.

Authors: Verma, Nishchal K. Sevakula, Rahul Kumar Dixit, Sonal et al.

Source: IEEE Transactions on Reliability; Mar2016, Vol. 65 Issue 1, p291-309, 19p

A parameter-free text classification method based on dual compressors.

Authors: Mao, Yanxu Ding, Ying Cui, Tiehan

Source: Knowledge & Information Systems; Apr2025, Vol. 67 Issue 4, p3737-3767, 31p

FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy.

Authors: Ferraro Petrillo, Umberto Palini, Francesco Cattaneo, Giuseppe et al.

Source: BMC Bioinformatics. 3/22/2021, Vol. 22 Issue 1, p1-21. 21p.

Energy efficient approximate compressor architectures for high performance image multiplication in CNTFET technology.

Authors: Foroutan, Pegah Navi, Keivan

Source: Scientific Reports. 10/16/2025, Vol. 15 Issue 1, p1-27. 27p.

Predictive maintenance system for screw compressors using machine learning: a comparative study.

Authors: Daoudi, Nawal Zaki, Smail Aboussaleh, Mohamed

Source: International Journal of Advanced Manufacturing Technology. Apr2025, Vol. 137 Issue 7, p3695-3708. 14p.

Energy Efficient Rounding Technique Approximate Multiplier Configuration with Approximate Compressors.

Authors: D., Hima Bindu Jabirullah, Mohammed Domala, Narsaiah

Source: Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 10, p1029-1040. 12p.

Subject Terms: Signal processing, Data mining, Computer arithmetic

Designing of an 8 × 8 Multiplier with New Inexact 4:2 Compressors for Image Processing Applications.

Authors: Rahmani, Mitra Babaeinik, Majid Ghods, Vahid et al.

Source: Circuits, Systems & Signal Processing. Nov2023, Vol. 42 Issue 11, p6749-6779. 31p.

High performance 5:2 compressor architectures.

Authors: Menon, R. Radhakrishnan, D.

Source: IEE Proceedings -- Circuits, Devices & Systems; October 2006, Vol. 153 Issue 5, p447-452, 6p

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Processing Gas-Dynamic Test Data on Compressors and Flow Sections for Air and Natural Gas.

Authors: Glushkov, B. K. Selyanskaya, E. L. Kas'yanov, S. V.

Source: Chemical & Petroleum Engineering. May/Jun2003, Vol. 39 Issue 5/6, p276-280. 5p.

Efficient octagonal compression of multimedia data using using LZW-OMCA compressor for secured data transmission.

Authors: Sreelatha, Tammineni Maheswari, M. Ravi, G. et al.

Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 6, p11135-11147, 13p

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Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor.

Authors: Achouch, Mounia Dimitrova, Mariya Dhouib, Rizck et al.

Source: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 3, p1790, 19p

Efficient thresholding-based ECG compressors for high quality applications using cosine modulated filter banks.

Authors: Hernando-Ramiro C Blanco-Velasco M Cruz-Roldán F et al.

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2011; Vol. 2011, pp. 7079-82.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

Surrogate Models for Performance Prediction of Axial Compressors Using through-Flow Approach.

Authors: Wu, Xiaoxiong Liu, Bo Ricks, Nathan et al.

Source: Energies (19961073). Jan2020, Vol. 13 Issue 1, p169-169. 1p. 4 Diagrams, 10 Charts, 11 Graphs.