Results 61 to 70 of about 209,881 (298)
Trajectory Analysis for the MASAR: A New Modular and Single-Actuator Robot
Robotics, 2019 Single-actuator mobile robots offer the benefits of low energy consumption, low weight and size, and low cost, but their motion is typically only one-dimensional.
Adrián Peidró +4 more
doaj +1 more source
Biomaterial Strategies for Targeted Intracellular Delivery to Phagocytes
Advanced Functional Materials, EarlyView.Phagocytes are essential to a functional immune system, and their behavior defines disease outcomes. Engineered particles offer a strategic opportunity to target phagocytes, harnessing inflammatory modulation in disease. By tuning features like size, shape, and surface, these systems can modulate immune responses and improve targeted treatment for a ...
Kaitlyn E. Woodworth +2 more
wiley +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Biosupercapacitors for Human‐Powered Electronics
Advanced Functional Materials, EarlyView.Biosupercapacitors are emerging as biocompatible and integrative energy systems for next‐generation bioelectronics, offering rapid charge–discharge performance and mechanical adaptability. This review systematically categorizes their applications from external to organ‐level systems and highlights their multifunctional roles in sensing, actuation, and ...
Suhyeon Kim +7 more
wiley +1 more source
Mining Automatically Estimated Poses from Video Recordings of Top Athletes
International Journal of Computer Science in Sport, 2018 Human pose detection systems based on state-of-the-art DNNs are about to be extended, adapted and re-trained to fit the application domain of specific sports.
Lienhart R., Einfalt M., Zecha D.
doaj +1 more source
The role of computer vision in prosthetic vision
Image and Vision Computing, 2012 AbstractThe cost of vision loss worldwide has been estimated at nearly $3 trillion (http://www.amdalliance.org/cost-of-blindness.html). Non-preventable diseases cause a significant proportion of blindness in developed nations and will become more prevalent as people live longer.
openaire +3 more sources
Performance Characterization in Computer Vision [PDF]
Procedings of the British Machine Vision Conference 1992, 1992 Computer vision algorithms are composed of different sub-algorithms often applied in sequence. Determination of the performance of a total computer vision algorithm is possible if the performance of each of the sub-algorithm constituents is given. The problem, however, is that for most published algorithms, there is no performance characterization ...
openaire +4 more sources
Advanced Functional Materials, EarlyView.High‐density BNNT films, enabling mechanical robustness and high space radiation shielding effectiveness, are fabricated using surfactant‐stabilized BNNT liquid crystal. Simulations indicate that a 50 g cm−2 BNNT film can reduce radiation exposure by 56% compared to zero shielding, potentially doubling the duration of astronaut missions on the lunar ...
Young‐Kyeong Kim +17 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This work introduces a novel Hybrid Retinal Implant (HRI), composed of a high‐density electrode array integrated with glutamatergic neurons to overcome key limitations of current retinal prostheses. The significant reduction of activation threshold and of electrode cross‐talk yields in an improved spatial resolution.
Nairouz Farah +8 more
wiley +1 more source
EEG-RegNet: Regressive Emotion Recognition in Continuous VAD Space Using EEG Signals
MathematicsElectroencephalogram (EEG)-based emotion recognition has garnered significant attention in brain–computer interface research and healthcare applications. While deep learning models have been extensively studied, most are designed for classification tasks
Hyo Jin Jon +4 more
doaj +1 more source