Suchergebnisse - (( state python code analysis ) OR ( sateen python code analysis ))*

Smart Compiler Assistant: An AST based Python Code Analysis

Autoren: Aneesh, Ch Saumik, Gembali Varun, Kvv et al.

Quelle: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6

Verfügbarkeit: https://doi.org/10.1109/icccnt61001.2024.10724220
http://xplorestaging.ieee.org/ielx8/10723818/10723316/10724220.pdf?arnumber=10724220

Programming models to support data science workflows

Autoren: Ramón-Cortés Vilarrodona, Cristián

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

MoveApps: a serverless no-code analysis platform for animal tracking data.

Autoren: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

Quelle: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

Hands-on 3: Introduction to developing Python computational pipelines for predictive machine learning modelling of livestock data.

Autoren: Tulpan, Dan¹

Quelle: Journal of Animal Science. 2024 Supplement, Vol. 102, p68-68. 1/4p.

Schlagworte: Machine learning, Personal computers, Animal science, Data modeling, Python programming language

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoren: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

Quelle: Frontiers in Mammal Science. 2025, p1-27. 27p.

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations.

Autoren: Jobarteh, Bubacarr Mincu-Iorga, Madalina Gavojdian, Dinu et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.

Autoren: Martvel, George Eretová, Petra Přibylová, Lucie et al.

Quelle: BMC Veterinary Research. 5/24/2025, Vol. 21 Issue 1, p1-13. 13p.

Schlagworte: Emotions in animals, Behavioral assessment, Dog behavior, Facial expression, Artificial intelligence, Dogs

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Autoren: DİLAVER, Hatice DİLAVER, Kamil Fatih

Quelle: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Schlagworte: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Autoren: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Quelle: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Schlagworte: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data.

Autoren: Su, Rongxiang Liu, Yifei Dodge, Somayeh

Quelle: Movement Ecology. 3/9/2024, Vol. 12 Issue 1, p1-14. 14p.

TLR2 c.374C>T variant linked to natural resistance against brucellosis in Italian Mediterranean river buffalo.

Autoren: Fulgione, Andrea Gentile, Antonio Iovane, Valentina et al.

Quelle: BMC Veterinary Research. 10/21/2025, Vol. 21 Issue 1, p1-16. 16p.

Schlagworte: Brucellosis, Toll-like receptors, Immune response, Water buffalo, Natural immunity, Case-control method, Single nucleotide polymorphisms, Genomics

Geografische Kategorien: Italy, Campania (Italy)

Analysis of dog movement using a single accelerometer in different body positions—a new approach.

Autoren: Reinstein, Rainer da Silva Pozzobon, Franciéli Mallmann Caye, Pâmela et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-12. 12p.

Sportomics Analyses of the Exercise-Induced Impact on Amino Acid Metabolism and Acute-Phase Protein Kinetics in Female Olympic Athletes.

Autoren: Muniz-Santos, Renan Bassini, Adriana Falcão, Jefferson et al.

Quelle: Nutrients. Oct2024, Vol. 16 Issue 20, p3538. 21p.

ASAS-NANP symposium: mathematical modeling in animal nutrition—Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Autoren: Brennan, Jameson R. Menendez, III, Hector M. Ehlert, Krista et al.

Quelle: Journal of Animal Science. Jan2023, Vol. 101 Issue 1, p1-11. 11p. 4 Diagrams, 3 Graphs.

Strong correlation of gene counts and differentially expressed genes between a 3′ RNA-Seq and an RNA hybridization platform in transcriptome analyses from canine archival tissues.

Autoren: Haake, Alexander F. H. Loriani Fard, Alina K. Jovanovic, Vladimir M. et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Data-driven discovery of antiviral peptides against PRRSV using multiple machine learning models.

Autoren: Yousaf, Wafa Haseeb, Abdul Shen, Yongheng et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-20. 20p.

Low Skeletal Muscle Mass Identifies Very High Metabolic Risk in Slovak Children with Obesity: A Body Composition-Based Approach to Risk Stratification.

Autoren: Bánovčinová, Alžbeta Schusterová, Ingrid Tóth, Štefan et al.

Quelle: Nutrients. Dec2025, Vol. 17 Issue 23, p3715. 21p.

Sero-epidemiology and risk factor investigation for exposure to Japanese encephalitis virus in swine populations reared in climatically diverse regions of India.

Autoren: Mote, Akash Balasaheb Singh, Balbir B. Mehta, Deepa et al.

Quelle: Tropical Animal Health & Production. Dec2024, Vol. 56 Issue 9, p1-10. 10p.

Combining dynamic models with deep learning through time series analysis.

Autoren: Rekabdarkolaee, Hossein Moradi Menendez, Hector M. Brennan, Jameson R.

Quelle: Journal of Animal Science. 2024 Supplement, Vol. 102, p68-68. 1/4p.

Schlagworte: Time series analysis, Mathematical models, Environmental sciences, Animal science, Dynamic models

Linking Personality Traits to Mediterranean Diet Adherence and Exploring Gene–Diet Interactions in Neuroticism.

Autoren: Sorlí, José V. Ortega-Azorín, Carolina Coltell, Oscar et al.

Quelle: Nutrients. Dec2025, Vol. 17 Issue 23, p3791. 31p.