Results 51 to 60 of about 95,777 (258)
A smart headband for multimodal physiological monitoring in human exercises
Advanced Science, EarlyView.A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu +7 more
wiley +1 more source
Convolutional neural network for dog breed recognition system
Adaptivni Sistemi Avtomatičnogo UpravlinnâThe object of research is models of convolutional neural networks and datasets for training convolutional neural networks. The purpose of the study is to increase the efficiency of recognition of dog breeds using convolutional neural networks when ...
К. Хотінь +4 more
doaj +1 more source
Confidence level evaluation of LOD resources on CKAN instances
Visión Electrónica, 2019 Linked Open Data has been an initiative aimed at offering principles for the interconnection of data through machine-readable structures and knowledge representation schemes.
Jhon Francined Herrera-Cubides +3 more
doaj +1 more source
Deep Learning in the Automotive Industry: Applications and Tools
, 2017 Deep Learning refers to a set of machine learning techniques that utilize neural networks with many hidden layers for tasks, such as image classification, speech recognition, language understanding.
Ashcraft, Nathan +5 more
core +1 more source
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow
, 2017 We introduce TensorFlow Agents, an efficient infrastructure paradigm for building parallel reinforcement learning algorithms in TensorFlow. We simulate multiple environments in parallel, and group them to perform the neural network computation on a batch rather than individual observations.
Hafner, Danijar +2 more
openaire +2 more sources
Advanced Electronic Materials, EarlyView.A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Applying Deep Learning in Medical Images: The Case of Bone Age Estimation [PDF]
Healthcare Informatics Research, 2018 ObjectivesA diagnostic need often arises to estimate bone age from X-ray images of the hand of a subject during the growth period. Together with measured physical height, such information may be used as indicators for the height growth prognosis of the ...
Jang Hyung Lee, Kwang Gi Kim
doaj +1 more source
, 2017 The basic features of some of the most versatile and popular open source frameworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are considered and compared.
Alienin, Oleg +4 more
core +1 more source
Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Implementasi Deep Learning berbasis Tensorflow untuk Pengenalan Sidik Jari
Emitor: Jurnal Teknik Elektro, 2018 Sistem pengenalan sidik jari banyak digunakan dala bidang biometrik untuk berbagai keperluan pada beberapa tahun terakhir ini. Pengenalan sidik jari digunakan karena memiliki pola yang rumit yang dapat mengenali seseorang dan merupakan identitas setiap ...
Royani Darma Nurfita, Gunawan Ariyanto
doaj +1 more source