Výsledky vyhledávání - Data Compaction and Compression General Terms Algorithms

Application of data-intelligence algorithms for modeling the compaction performance of new pharmaceutical excipients

Autoři: G.M. Khalid A. G. Usman

Zdroj: Future Journal of Pharmaceutical Sciences, Vol 7, Iss 1, Pp 1-11 (2021)

Témata: Artificial intelligence, Compaction, Direct compression, RM1-950, 04 agricultural and veterinary sciences, RS1-441, Pharmacy and materia medica, 0404 agricultural biotechnology, Excipient, General Earth and Planetary Sciences, Therapeutics. Pharmacology, Tablet, 0405 other agricultural sciences, Knowmad Institut, General Environmental Science

Přístupová URL adresa: https://fjps.springeropen.com/track/pdf/10.1186/s43094-021-00183-w
https://doaj.org/article/47fffd4a7018430d9692d6626ade336e
https://link.springer.com/content/pdf/10.1186/s43094-021-00183-w.pdf
https://fjps.springeropen.com/articles/10.1186/s43094-021-00183-w
https://link.springer.com/article/10.1186/s43094-021-00183-w/email/correspondent/c1/new
https://link.springer.com/article/10.1186/s43094-021-00183-w
https://www.openaccessrepository.it/record/110139

Computing MEMs and Relatives on Repetitive Text Collections.

Autoři: Navarro, Gonzalo

Zdroj: ACM Transactions on Algorithms; Jan2025, Vol. 21 Issue 1, p1-33, 33p

Témata: CODING theory, DATA structures, INFORMATION theory, DATA warehousing, COMPRESSIBILITY

Integration of Generative-Adversarial-Network-Based Data Compaction and Spatial Attention Transductive Long Short-Term Memory for Improved Rainfall–Runoff Modeling.

Autoři: Ghanati, Bahareh Serra-Sagristà, Joan

Zdroj: Remote Sensing; Oct2024, Vol. 16 Issue 20, p3889, 18p

Témata: WATER management, GENERATIVE adversarial networks, CLIMATE extremes, WATER currents, EMERGENCY management

Constructing comprehensive summaries of large event sequences

Autoři: Jerry Kiernan Evimaria Terzi The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Jerry Kiernan Evimaria Terzi The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.ucsb.edu/~xyan/classes/CS290D-2009spring/reviews/p417.pdf.

Témata: Categories and Subject Descriptors H.2.8 [Database Management, Database Applications— Data mining, I.5.3 [Pattern Recognition, Clustering— Algorithms, E.4[Coding and Information Theory, Data Compaction and compression] General Terms Algorithms, Experimentation, Theory Keywords event sequences

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.2733

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.2733
http://www.cs.ucsb.edu/~xyan/classes/CS290D-2009spring/reviews/p417.pdf

An adaptive image compression algorithm based on joint clustering algorithm and deep learning.

Autoři: Liang, Yanxia Zhao, Meng Liu, Xin a další

Zdroj: IET Image Processing (Wiley-Blackwell); 2/28/2024, Vol. 18 Issue 3, p829-837, 9p

Témata: CLUSTERING algorithms, MACHINE learning, DEEP learning, IMAGE processing, RUNNING speed, IMAGE compression

On Searching Compressed String Collections Cache-Obliviously

Autoři: Paolo Ferragina Roberto Grossi Ankur Gupta a další

Přispěvatelé: Paolo Ferragina Roberto Grossi Ankur Gupta a další

Zdroj: http://faculty.cse.tamu.edu/jsv/Papers/FGG08.SearchingCompressed.pdf.

Témata: E.1 [Data Structures, Arrays, Tables, E.4 [Coding and Information Theory, Data compaction and compression. General Terms Algorithms, Design, Theory. Keywords B-tree, string searching, data compression, front coding, cache

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.2443; http://faculty.cse.tamu.edu/jsv/Papers/FGG08.SearchingCompressed.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.2443
http://faculty.cse.tamu.edu/jsv/Papers/FGG08.SearchingCompressed.pdf

Differential nested lattice encoding for consensus problems

Autoři: Mehmet E. Yildiz Anna Scaglione The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Mehmet E. Yildiz Anna Scaglione The Pennsylvania State University CiteSeerX Archives

Zdroj: http://crisp.ece.cornell.edu/papers/yildiz_ipsn_2007.pdf.

Témata: Systems—Distributed applications, E.4 [Coding and Information Theory, Data compaction and compression General Terms Algorithms, Design, Performance

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.211; http://crisp.ece.cornell.edu/papers/yildiz_ipsn_2007.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.211
http://crisp.ece.cornell.edu/papers/yildiz_ipsn_2007.pdf

A new efficient predictor blending lossless image coder.

Autoři: Ulacha, Grzegorz Stasinski, Ryszard

Zdroj: International Journal of Electronics & Telecommunications; 2024, Vol. 70 Issue 3, p715-726, 12p

Témata: IMAGE encryption, ARTIFICIAL neural networks, DATA security, PREDICTION algorithms, DIGITIZATION

Preferential path profiling: Compactly numbering interesting paths

Autoři: Kapil Vaswani The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Kapil Vaswani The Pennsylvania State University CiteSeerX Archives

Zdroj: http://research.microsoft.com/~trishulc/papers/ppp_popl.pdf.

Témata: Data Compaction and Compression General Terms Algorithms, Measurement, Reliability Keywords Profiling, preferential paths, arithmetic coding, dynamic

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.9040; http://research.microsoft.com/~trishulc/papers/ppp_popl.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.9040
http://research.microsoft.com/~trishulc/papers/ppp_popl.pdf

Unsupervised document classification using sequential information maximization

Autoři: Noam Slonim Nir Friedman Naftali Tishby The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Noam Slonim Nir Friedman Naftali Tishby The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.rutgers.edu/~mlittman/topics/dimred02/slonim.pdf.

Témata: I.5.3 [Pattern Recognition, Clustering—Algorithms, I.5.4 [Pattern Recognition, Applications—Text processing, E.4 [Data, Coding and Information Theory—Data compaction and compression General Terms Algorithms, Theory, Performance, Experimentation

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.3622; http://www.cs.rutgers.edu/~mlittman/topics/dimred02/slonim.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.3622
http://www.cs.rutgers.edu/~mlittman/topics/dimred02/slonim.pdf

Efficient Low-Memory Implementation of Sparse CNNs Using Encoded Partitioned Hybrid Sparse Format.

Autoři: Basak, Barnali Dasgupta, Pallab Pal, Arpan

Zdroj: ACM Transactions on Embedded Computing Systems; Nov2024, Vol. 23 Issue 6, p1-30, 30p

Témata: CONVOLUTIONAL neural networks, DATA warehousing, CONSUMPTION (Economics), COMPACTING, CLASSIFICATION

Using non-continuous accelerometry to identify cryptic nesting events of Galapagos giant tortoises.

Autoři: Donovan, Emily Buege Blake, Stephen Deem, Sharon L. a další

Zdroj: Animal Biotelemetry; 11/11/2024, Vol. 12 Issue 1, p1-16, 16p

Témata: CART algorithms, BIG data, NEST building, ANIMAL behavior, RANDOM forest algorithms

General, Efficient, and Real-Time Data Compaction Strategy for APT Forensic Analysis.

Autoři: Zhu, Tiantian Wang, Jiayu Ruan, Linqi a další

Zdroj: IEEE Transactions on Information Forensics & Security; 2021, Vol. 16, p3312-3325, 14p

Efficient Parallel Data Optimization for Homogeneous Diffusion Inpainting of 4K Images.

Autoři: Kämper, Niklas Chizhov, Vassillen Weickert, Joachim

Zdroj: SIAM Journal on Imaging Sciences; 2025, Vol. 18 Issue 1, p701-734, 34p

A data-driven approach utilizing a raw material database and machine learning tools to predict the disintegration time of orally fast-disintegrating tablet formulations.

Autoři: Kota, Navyaja Kamaraj, Raju Murugaanandam, S. a další

Zdroj: Pharmacia (0428-0296); 2024, Vol. 71 Issue 1, p1-12, 12p

Témata: ARTIFICIAL neural networks, DRUG tablets, MACHINE learning, DEEP learning, RAW materials, DECISION trees, SUPPORT vector machines, DATA analysis, RANDOM forest algorithms

AI-Driven Pharmaceutical Data Analysis Tool for Drug Formulation Development.

Autoři: Amed, Ould Boudia

Zdroj: Journal of Pharmaceutical Innovation; Dec2025, Vol. 20 Issue 6, p1-12, 12p

Hardware-Based Data Value and Address Trace Filtering Techniques

Autoři: Vladimir Uzelac Aleksandar Milenković The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Vladimir Uzelac Aleksandar Milenković The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.ece.uah.edu/%7Emilenka/docs/vuam_cases10b.pdf.

Témata: Theory, Data Compaction and Compression. General Terms Algorithms, Design, Verification. Keywords Debugging, Program Tracing, Compression

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.176.3367; http://www.ece.uah.edu/%7Emilenka/docs/vuam_cases10b.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.176.3367
http://www.ece.uah.edu/%7Emilenka/docs/vuam_cases10b.pdf

Microcrack Classification of Rock Salt Under Quasi-static Compression Using Acoustic Emission.

Autoři: Chajed, Shubham Singh, Aditya

Zdroj: Geotechnical & Geological Engineering; Jul2024, Vol. 42 Issue 5, p3691-3709, 19p

Témata: ROCK salt, COMPRESSIVE strength, MICROCRACKS, CLASSIFICATION, ACOUSTIC emission, SALT, COMPACTING

In-Depth Understanding of the Impact of Material Properties on the Performance of Jet Milling of Active Pharmaceutical Ingredients.

Autoři: Bultereys, Viktor Matsunami, Kensaku Descamps, Laure a další

Zdroj: Pharmaceutics; Sep2025, Vol. 17 Issue 9, p1197, 25p

Témata: SIZE reduction of materials, PHARMACEUTICAL chemistry, PROCESS optimization, MILLING cutters, MECHANICAL behavior of materials

Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm.

Autoři: Moon, Aekyeung Kim, Jaeyoung Zhang, Jialing a další

Zdroj: Computers & Electronics in Agriculture. Nov2018, Vol. 154, p304-313. 10p.

Témata: *AGRICULTURAL technology, *METEOROLOGICAL stations, *INTERNET of things, *BIG data, *PREDICTION theory