Tema: n/a
- Advanced Manufacturing Technology and Systems
- Numerical and Evolutionary Optimization 2021
- Mental Health Promotion and Illness Prevention in Vulnerable Populations
- Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
- Neurodegeneration in Cognitive Impairment and Mood Disorders for Experimental, Clinical and Translational Neuropsychiatry
- Genetic, Epigenetic, Environmental, and Pharmacological Models for Neuroscience, Neurologic Diseases, and Psychiatric Disorders: Advancement in Bench-to-Bedside Translational Research
Tema: cognition
- Management of Acute and Chronic Complications of Lysosomal Storage Diseases in Children and Adults: Current Practice and Future Opportunities
- Neurodegeneration in Cognitive Impairment and Mood Disorders for Experimental, Clinical and Translational Neuropsychiatry
- Genetic, Epigenetic, Environmental, and Pharmacological Models for Neuroscience, Neurologic Diseases, and Psychiatric Disorders: Advancement in Bench-to-Bedside Translational Research
- 10th Anniversary of Biomedicines—Translational Laboratory and Experimental Medicine for the Sake of Neurological Diseases and Mental Illnesses
- Nutritional Value of Meat and Meat Products and Their Role in Human Health
- From Bench to Bedside
Upphov: Alan Power
Upphov: Andrea Facoetti
Liknande verk: Advanced Manufacturing Technology and Systems
- Optical Fiber Interferometric Sensors
- Fiber Optic Sensors in Chemical and Biological Applications
- Novel Specialty Optical Fibers and Applications
- Micro-/Nano-Fiber Sensors and Optical Integration Devices
- Fiber Bragg Grating Sensors: Recent Advances and Future Perspectives
- Fiber Optic Sensors and Fiber Lasers
Liknande verk: Numerical and Evolutionary Optimization 2021
- Evolutionary Computation, Metaheuristics, Nature-Inspired Algorithms, and Symmetry
- Scheduling Theory and Algorithms for Sustainable Manufacturing
- Edge-Cloud Computing and Federated-Split Learning in the Internet of Things
- Evolutionary Computation 2020
- Flood Forecasting Using Machine Learning Methods
- Recent Advances of Disсrete Optimization and Scheduling