Leveraging Machine Learning for Predictive Maintenance in Pharmaceutical Production

Συγγραφείς: Koppichetti, Ravi Kiran

Πηγή: International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences. 13

Θεματικοί όροι: Big Data, Artificial intelligence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/economics, Artificial Intelligence/standards, Data Mining/methods, Data Mining/trends, Machine Learning, Data Mining/standards, Big data, Internet of things (IoT), Artificial Intelligence, Machine learning, Machine Learning/classification, Data Mining, Artificial Intelligence/trends, Big Data/economics, Data Mining/statistics & numerical data, Data mining, Pharmaceutical manufacturing systems, Predictive maintenance, Data Mining/classification, Big Data/supply & distribution, Industry 4.0, Artificial Intelligence/classification, Supervised Machine Learning

Spectrum of Techniques: Data Mining vs. Social Media Mining

Συγγραφείς: Biswas, Sayak, orcid:0009-0004-1850-

Θεματικοί όροι: Data mining, Data Mining/statistics & numerical data, Data Mining/ethics, Data Mining/history, Data Mining/classification, Data Mining/methods, Data Mining/standards, Library sciences

Relation: https://zenodo.org/records/15363646; oai:zenodo.org:15363646; https://doi.org/10.5281/zenodo.15363646

Διαθεσιμότητα: https://doi.org/10.5281/zenodo.15363646
https://zenodo.org/records/15363646

COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.

Συγγραφείς: Ostaszewski, Marek, Niarakis, Anna, Ruepp, Andreas, Soliman, Sylvain, Valdeolivas, Alberto, Esteban-Medina, Marina, Peña-Chilet, Maria, Rian, Kinza, Helikar, Tomáš, Puniya, Bhanwar Lal, Modos, Dezso, Treveil, Agatha, Olbei, Marton, Fobo, Gisela, De Meulder, Bertrand, Ballereau, Stephane, Dugourd, Aurélien, Naldi, Aurélien, Noël, Vincent, Calzone, Laurence, Sander, Chris, Demir, Emek, Korcsmaros, Tamas, Freeman, Tom C, Montrone, Corinna, Augé, Franck, Beckmann, Jacques S, Hasenauer, Jan, Wolkenhauer, Olaf, Wilighagen, Egon L, Pico, Alexander R, Evelo, Chris T, Gillespie, Marc E, Stein, Lincoln D, Hermjakob, Henning, Brauner, Barbara, D'Eustachio, Peter, Saez-Rodriguez, Julio, Dopazo, Joaquin, Valencia, Alfonso, Kitano, Hiroaki, Barillot, Emmanuel, Auffray, Charles, Balling, Rudi, Schneider, Reinhard, Community, COVID-19 Disease Map, Frishman, Goar, Monraz Gómez, Luis Cristóbal, Somers, Julia, Hoch, Matti, Kumar Gupta, Shailendra, Scheel, Julia, Mazein, Alexander, Borlinghaus, Hanna, Czauderna, Tobias, Schreiber, Falk, Montagud, Arnau, Ponce de Leon, Miguel, Funahashi, Akira, Hiki, Yusuke, Hiroi, Noriko, Yamada, Takahiro G, Dräger, Andreas, Kuperstein, Inna, Renz, Alina, Naveez, Muhammad, Bocskei, Zsolt, Messina, Francesco, Börnigen, Daniela, Fergusson, Liam, Conti, Marta, Rameil, Marius, Nakonecnij, Vanessa, Vanhoefer, Jakob, Phair, Robert, Schmiester, Leonard, Wang, Muying, Ackerman, Emily E, Shoemaker, Jason E, Zucker, Jeremy, Oxford, Kristie, Teuton, Jeremy, Kocakaya, Ebru, Summak, Gökçe Yağmur, Hanspers, Kristina, Orta-Resendiz, Aurelio, Kutmon, Martina, Coort, Susan, Eijssen, Lars, Ehrhart, Friederike, Rex, Devasahayam Arokia Balaya, Slenter, Denise, Martens, Marvin, Pham, Nhung, Haw, Robin, Jassal, Bijay, Singh, Vidisha, Matthews, Lisa, Orlic-Milacic, Marija, Senff Ribeiro, Andrea, Rothfels, Karen, Shamovsky, Veronica, Stephan, Ralf, Sevilla, Cristoffer, Varusai, Thawfeek, Ravel, Jean-Marie, Fraser, Rupsha, Aghamiri, Sara Sadat, Ortseifen, Vera, Marchesi, Silvia, Gawron, Piotr, Smula, Ewa, Heirendt, Laurent, Satagopam, Venkata, Wu, Guanming, Riutta, Anders, Golebiewski, Martin, Owen, Stuart, Acencio, Marcio Luis, Goble, Carole, Hu, Xiaoming, Overall, Rupert, Maier, Dieter, Bauch, Angela, Gyori, Benjamin M, Bachman, John A, Vega, Carlos, Grouès, Valentin, Vazquez, Miguel, Glaab, Enrico, Porras, Pablo, Licata, Luana, Iannuccelli, Marta, Sacco, Francesca, Nesterova, Anastasia, Yuryev, Anton, de Waard, Anita, Turei, Denes, Luna, Augustin, Babur, Ozgun

Πηγή: Molecular systems biology 17(10), e10387 (2021). doi:10.15252/msb.202110387

Θεματικοί όροι: info:eu-repo/classification/ddc/570, COVID-19 Drug Treatment, Antiviral Agents: therapeutic use, COVID-19: drug therapy, COVID-19: genetics, COVID-19: immunology, COVID-19: virology, Computational Biology: methods, Computer Graphics, Cytokines: genetics, Cytokines: immunology, Data Mining: statistics & numerical data, Databases, Factual, Gene Expression Regulation, Host Microbial Interactions: genetics, Host Microbial Interactions: immunology, Humans, Immunity, Cellular: drug effects, Humoral: drug effects, Innate: drug effects, Lymphocytes: drug effects, Lymphocytes: immunology, Lymphocytes: virology, Metabolic Networks and Pathways: genetics, Metabolic Networks and Pathways: immunology, Myeloid Cells: drug effects, Myeloid Cells: immunology, Myeloid Cells: virology

Θέμα γεωγραφικό: DE

Relation: info:eu-repo/semantics/altIdentifier/issn/1744-4292; info:eu-repo/semantics/altIdentifier/pmid/pmid:34664389; https://pub.dzne.de/record/162909

Διαθεσιμότητα: https://pub.dzne.de/record/162909
https://pub.dzne.de/search?p=id:%22DZNE-2021-01564%22

Science mapping analysis characterizes 235 biases in biomedical research

Συγγραφείς: John P. A. Ioannidis, David Chavalarias

Πηγή: Journal of Clinical Epidemiology. 63:1205-1215

Θεματικοί όροι: PubMed, Biomedical Research, Publication Bias/*statistics & numerical data, Data Mining/statistics & numerical data, 01 natural sciences, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, PubMed/statistics & numerical data, Cluster Analysis, Data Mining, Humans, 0101 mathematics, Biomedical Research/methods/standards/*statistics & numerical data, Publication Bias, Selection Bias

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/20400265
https://www.ncbi.nlm.nih.gov/pubmed/20400265
https://www.sciencedirect.com/science/article/pii/S0895435610000223
https://pubmed.ncbi.nlm.nih.gov/20400265/
https://europepmc.org/article/MED/20400265
http://www.sciencedirect.com/science/article/pii/S0895435610000223
http://olympias.lib.uoi.gr/jspui/handle/123456789/18452

Science mapping analysis characterizes 235 biases in biomedical research

Συγγραφείς: Chavalarias, D., Ioannidis, J. P.

Θεματικοί όροι: Biomedical Research/methods/standards/*statistics & numerical data, Cluster Analysis, Data Mining/statistics & numerical data, Humans, PubMed/statistics & numerical data, Publication Bias/*statistics & numerical data, Selection Bias

Relation: http://olympias.lib.uoi.gr/jspui/handle/123456789/18452

Διαθεσιμότητα: http://olympias.lib.uoi.gr/jspui/handle/123456789/18452