Review began 08/08/2022 review ended 08/24/2022 published 08/29/2022 © copyright
HIGHLIGHTS who: Matthew P. Noyes et al. from the Oregon Shoulder Institute, Medford, USA have published the Article: Review began […]
Computer_Science
Computer_Science
Computer_Science
Adoption of machine learning in pharmacometrics: an overview of recent implementations and their considerations
HIGHLIGHTS who: Alexander Janssen and collaborators from the Department of Clinical Pharmacology, Hospital Pharmacy, Amsterdam University Medical Center, Amsterdam, The
Computer_Science
Modeling techniques for underwater acoustic scattering and propagation (including 3d effects)
HIGHLIGHTS who: Pavel Petrov and collaborators from the (UNIVERSITY) have published the article: Modeling Techniques for Underwater Acoustic Scattering and
Computer_Science
A comparison of different types of esophageal reconstructions: a systematic review and network meta-analysis
HIGHLIGHTS who: Pang-Chieh Hung and collaborators from the Division of Thoracic Surgery, Department of Surgery, Shuang Ho Hospital, Taipei Medical
Computer_Science
Logistics information traceability mechanism of fresh e- commerce based on image recognition technology
HIGHLIGHTS who: Xin Zhang from the College of Business, Jiaxing University, Jiaxing, Zhejiang, China have published the paper: Logistics Information
Computer_Science
A preliminary attempt to investigate mirror self-recognition in octopus vulgaris
HIGHLIGHTS who: August et al. from the University of Lisbon, Portugal University of Sussex, United Kingdom have published the research:
Computer_Science
Predictive analysis of customer retention using the random
HIGHLIGHTS who: TIERS from the Institut Teknologi Dan Bisnis Swdharma, JlMalaka No , Roa Malaka, KecTambora, West Jakarta, Jakarta, Indonesia
Computer_Science
Optimized deep-learning-based method for cattle udder traits classification
HIGHLIGHTS who: Hina Afridi and collaborators from the Department of Computer Science, Norwegian University of Science and Technology, Gj have
Computer_Science
Vorhersage von hydrologischen abflusskennwerten in unbeobachteten einzugsgebieten mit machine learning
HIGHLIGHTS who: Runoff characteristics and colleagues from the Department have published the paper: Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten
Computer_Science
Machine learning and lexicon approach to texts processing in the detection of degrees of toxicity in online discussions
HIGHLIGHTS who: Kristína Machová et al. from the Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics,