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Innovations in Hydrogen Generation, Phototherapy, Lithium-ion Batteries, Machine Learning, Deep Learning, and Autonomous Cars

  • ID: 4763833
  • Report
  • April 2019
  • Region: Global
  • 15 Pages
  • Frost & Sullivan

This edition of the Inside R&D TechVision Opportunity Engine (TOE) depicts the current landscape and the new trends in a series of developments associated with health care, hydrogen production, machine learning, bulletproof vests, and Li-ion batteries. It also profiles innovations on noise reduction technology, wearable sensors, perovskite solar cells, personalize skin-care, depression treatment, and stroke diagnostics.

Inside R&D TechVision Opportunity Engine covers global innovations that are in research and development in virtually all technology areas. The research provides intelligence and insights on innovations spanning a wide variety of industry areas, including automation, electronics, sensors, information and communication technologies, manufacturing, health, wellness, medical devices, pharma, biotechnology, materials, coatings, renewable fuels, automotive, power systems, sustainable energy solutions and innovations that contribute to a cleaner and greener environment.

Note: Product cover images may vary from those shown

1. Advancements in Hydrogen Generation, Phototherapy, Lithium-ion Batteries, Machine Learning, Deep Learning, and Autonomous Cars

  • Non-pharmacological, Non-Invasive, Neurostimulation Treatment for Depression
  • Neurostimulation Technology Offering Improved Price Performance Value
  • Machine Learning-based Tool for Identifying Fake News
  • The solution can Act as an Early Warning System for Public Bodies by Limiting the Spread of Fake News
  • TDP-43 as a Drug Target for Neurodegenerative Disorders
  • TDP-43 Proteinopathy Observed Across the Neurodegenerative Disorder Spectrum
  • Development of Bulletproof Vests Using Advanced Ceramics for Defense Applications
  • Advanced Ceramics for Defense and Military Applications is a Key Area of Focus
  • Development of Lithium-ion Batteries Using Fluorine Doping
  • Lithium-ion Batteries Have a Wide Application Landscape
  • Phototherapy to Deal with Staphylococcus Infections
  • Impact of Phototherapy on Healthcare
  • Non-intrusive Noise Reduction Technology to Reduce Noise Levels in Newborn Intensive Care Units
  • Solar Powered Electrolysis of Seawater for Hydrogen Production
  • Wearable Sensors for Biomedical Applications
  • Personalized Skin Cream for Enhanced Skin Protection
  • Graphene Coating Addresses Safety Concern of Lithium-ion Batteries
  • Wide Array of Application Segments for Lithium Batteries
  • Metal-halide Perovskites for Space Applications
  • Improving Stability of Perovskite Solar Cells Exhibit Its’ Potential for Future Applications
  • Smart Wrist-worn Device for Monitoring Atrial Fibrillation
  • Creates 3D Electroanatomic Maps
  • Wearable Device for Treating Body-focused Repetitive Behaviors
  • Measures Relevant Touchpoints
  • Using Deep Learning to Improve the Interaction Between Pedestrians and Drivers to Reduce Collisions at Crossings
  • Potential to Enhance the Collision Detection System With Additional Capabilities
  • Machine Learning-based Recommendation System for Tourists
  • Breakthroughs in Safety and Privacy Could Improve the Recommendation System
  • Using Data from Past Trips to Enhance Decision Making in Autonomous Cars
  • Autonomous Cars will be Key Enablers of New Business Models
  • Combining Statistical and Symbolic AI for Object Detection
  • AI Algorithms have to be Designed to Work with Limited Training Data
  • Clinical-use Master Cell Bank
  • Optimum Quality Controlled Master Cell Bank
  • Rapid Point of Care Test for Stroke Diagnosis
  • Diagnostic Device can be Used Across the Continuum of Stroke Care
  • Key Contacts
Note: Product cover images may vary from those shown