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يعرض 1 - 20 نتائج من 6,165 نتيجة بحث عن '(((jama OR jin) algorithm) OR ((((java OR jang) OR jong) OR ((jane OR jae) OR jan)) algorithm))*', وقت الاستعلام: 1.58s تنقيح النتائج
Peak Detection Algorithm for Vital Sign Detection Using Doppler Radar Sensors †
HDOP and VDOP Analysis in an Ideal Placement Environment for Dual GNSSs

Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach
Machine Learning-Based Human Recognition Scheme Using a Doppler Radar Sensor for In-Vehicle Applications

Machine Learning-Based Human Recognition Scheme Using a Doppler Radar Sensor for In-Vehicle Applications
IPSCL: An Accurate Indoor Positioning Algorithm Using Sensors and Crowdsourced Landmarks

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
Improved RRT-Connect Algorithm Based on Triangular Inequality for Robot Path Planning

Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging
Dual deep neural network-based classifiers to detect experimental seizures

New Approach for Snow Cover Detection through Spectral Pattern Recognition with MODIS Data
Vital-Signs Detector Based on Frequency-Shift Keying Radar

EagleEye: A Worldwide Disease-Related Topic Extraction System Using a Deep Learning Based Ranking Algorithm and Internet-Sourced Data
Parallel Tracking and Mapping for Controlling VTOL Airframe

DiTeX: Disease-related topic extraction system through internet-based sources
Word2vec convolutional neural networks for classification of news articles and tweets

Light-weight Optimum Design of Laminate Structures of a GFRP Fishing Vessel
Copy number variations (CNVs) identified in Korean individuals

Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study

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