Results 41 to 50 of about 117,293 (275)
An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
Stress can affect both physical and mental health, and it is important to support faster intervention. EEG can record brain activity directly, but EEG signals are complex, noisy, and difficult to handle.
Sza Sza Amulya Larasati +2 more
doaj +1 more source
Classification of pest detection in paddy crop based on transfer learning approach
Pest recognition in the agriculture field plays a critical issue for the farmers which diminishes economic growth. So far, traditional practices were followed by farmers to increase yield production. Nowadays, researchers execute a deep learning approach
V. Malathi, M. P. Gopinath
doaj +1 more source
From the lightest Hydrogen isotopes up to the recently synthesized Oganesson (Z = 118), it is estimated that as many as about 8,000 atomic nuclei could exist in nature.
Marc Verriere +12 more
doaj +1 more source
BlockDrop: Dynamic Inference Paths in Residual Networks
Very deep convolutional neural networks offer excellent recognition results, yet their computational expense limits their impact for many real-world applications.
Davis, Larry S. +6 more
core +1 more source
In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with the purpose of solving the GIANA challenge. In some cases like RTC-ATC group ResNet-50 was used as a layer in Faster Convolutional Neural Network (FCNN) in order to build an automated recognition system to detect the presence of ...
Amaya Rodríguez, Isabel +12 more
openaire +2 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Rice-ResNet: Rice classification and quality detection by transferred ResNet deep model
Samira Mavaddati
exaly +2 more sources
The neuro-degenerative eye disease glaucoma is caused by an increase in eye pressure inside the retina. As the secondleading cause of blindness in the world, if an early diagnosis is not obtained, this can cause total blindness.
Sh. Anantha Babu +4 more
doaj +1 more source
Batik Classification Using Convolutional Neural Network with Data Improvements
Batik is one of the Indonesian cultures that UNESCO has recognized. Batik has a variety of unique and distinctive patterns that reflect the area of origin of the batik motif. Batik motifs usually have a 'core motif' printed repeatedly on the fabric.
Dewa Gede Trika Meranggi +2 more
doaj +1 more source

