Design and application of college student management system based on big data technology
HIGHLIGHTS who: Based on Big Data and colleagues from the School of Computer Science and, Soochow University, Suzhou, China have […]
Computer_Science
Computer_Science
Computer_Science
High-throughput and automatic structural and developmental root phenotyping on arabidopsis seedlings
HIGHLIGHTS who: Romain Fernandez from the (UNIVERSITY) have published the research: High-throughput and automatic structural and developmental root phenotyping on
Computer_Science
“nothing to lose and the possibility of gaining”: a qualitative study on the feasibility and acceptability of registry-based randomised controlled trials among cancer patients and clinicians
HIGHLIGHTS who: Khic-Houy Prang from the conduct of oncology RRCTs in Australia have published the research work: u201cNothing to lose
Computer_Science
Improved cascade correlation neural network model based on group intelligence optimization algorithm
HIGHLIGHTS who: Jun Deng and colleagues from the School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China
Computer_Science
Synthesizing 3d gait data with personalized walking style and appearance
HIGHLIGHTS who: Firstname Lastname and colleagues from the China Mobile (Hangzhou) Information Technology Co, Ltd, Hangzhou, China School of Informatics,
Computer_Science
Heterogeneous ensemble feature selection for network intrusion detection system
HIGHLIGHTS who: Yeshalem Gezahegn Damtew from the School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China have published
Computer_Science
Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes
HIGHLIGHTS who: Nishanthi Periyathambi and collaborators from the University of Warwick, Coventry, United Kingdom, Department of Diabetes, Endocrinology, and have
Computer_Science
Automated machine learning recognition to diagnose flood resilience of railway switches and crossings
HIGHLIGHTS who: Jessada Sresakoolchai from the DepartmentUniversity of have published the research: Automated machine learning recognition to diagnose flood resilience
Computer_Science
Ai-accelerated protein-ligand docking for sars-cov-2 is 100-fold faster with no significant change in detection
HIGHLIGHTS who: Austin Clyde from the Argonne National LaboratoryUniversity of, Piscataway, USA have published the paper: AI-accelerated protein-ligand docking for
Computer_Science
A methodological tool for sustainability and feasibility assessment of indoor vertical farming with artificial lighting in africa
HIGHLIGHTS SUMMARY This study was performed following a methodological framework for the feasibility and sustainability assessment of vertical farming in