Iaes international journal of artificial intelligence (ij-ai)
HIGHLIGHTS who: IJ-AI from the Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering Tirupati, Andhra Pradesh, […]
Computer_Science
Computer_Science
Computer_Science
Iaes international journal of artificial intelligence (ij-ai)
HIGHLIGHTS who: IJ-AI from the School of Digital Science, Universiti have published the research: IAES International Journal of Artificial Intelligence
Computer_Science
Iaes international journal of artificial intelligence (ij-ai)
HIGHLIGHTS who: IJ-AI from the Department of Electrical Engineering, Faculty of Electrical Engineering, Universiti Teknikal Malaysia have published the research:
Computer_Science
Iaes international journal of artificial intelligence (ij-ai)
HIGHLIGHTS who: IJ-AI from the Department of Operations Research and Decision Support, Faculty of Computers and Information, CairoDepartment of Operations
Computer_Science
The format of the ijopcm, first submission
HIGHLIGHTS who: Author from the Department of Electrical Engineering, Faculty of Engineering, Universitas Malikussaleh, Aceh, Indonesia have published the research
Computer_Science
Agent-based modeling (abm) for urban neighborhood energy systems: literature review and proposal for an all integrative abm approach
HIGHLIGHTS SUMMARY It combines reduced energy consumption as well as on-site renewable energy production and integration to achieve a zero-energy
Computer_Science
Discussion on machine learning technology to predict tacrolimus blood concentration in patients with nephrotic syndrome and membranous nephropathy in real-world settings
HIGHLIGHTS who: Weijia Yuan from the Department of Information, Supplies Center of PLA General Hospital, Beijing, China have published the
Computer_Science
A hybrid primitive-based navigation planner for the wheeled-legged robot centauro
HIGHLIGHTS who: Robot CENTAURO and colleagues from the (UNIVERSITY) have published the research work: A Hybrid Primitive-Based Navigation Planner for
Computer_Science
Neural networks for early diagnosis of postpartum ptsd in women after cesarean section
HIGHLIGHTS who: Christos Orovas and collaborators from the Department of Product and Systems Design Engineering, Faculty of Engineering, University of
Computer_Science
Efficient prediction of ki-67 proliferation index in meningiomas on mri: from traditional radiological findings to a machine learning approach
HIGHLIGHTS who: Yanjie Zhao and collaborators from the Department of Neurosurgery, West China Hospital, Sichuan University, No37, Guoxue Alley have