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Human physical activity recognition algorithm based on smartphone data convolutional neural network and long short time memory dataset, it includes 6 different actions: walking, walking upstairs, walking downstairs, sitting, standing
Human physical activity recognition algorithm based on smartphone data and long short time memory neural network allow us to improve human actions recognition accuracy, including walking, jogging, sitting, standing
Human physical activity recognition algorithm based on smartphone data convolutional nerual network and long short time memory, it includes 6 different actions: walking, walking upstairs, walking downstairs, sitting, standing, and laying
TOPIC OF THE REPORT: ELEMENTS OF LANDSCAPE ARCHITECTURE AS A SIMPLIFICATION OF PREGNANCY AND DISEASES OF THE MUSCULOSKELETAL SYSTEM of the population continued to sit on the phone, disrupting the visual and musculoskeletal systems. But a large
The effect of body positions on foot types: Considering body weight at sitting position, bipedal position (standing on two legs) and unipedal position (standing on one
MULTIMEDIA IN VARIOUS FIELDS take advantage of the opportunity to learn, interact and share informative ideas without sitting
SOCIAL-HYGIENIC RESEARCH OF BEHAVIORAL CHARACTERISTICS OF SCHOOL CHILDREN proportion of children even at the stage of primary school clearly excessive time sits at the computer.
ВИДОВОЕ РАЗНООБРАЗИЕ ГРИБОВ, АССОЦИИРОВАННЫХ С КЛУБНЯМИ КАРТОФЕЛЯ И ПЛОДАМИ ТОМАТА В УГАНДЕ-морфологических признаков и видоспецифичных последовательностей ДНК (ITS1-5,8S-ITS2, фрагменты генов бета-тубулина и фактора
Заметки о редких заносных верониках Томской области результатами молекулярно-генетического анализа с использованием участка ITS1-5.8S-ITS2. Отмечены некоторые
Influence of orthostatic loading probes on the pumping function of the heart of athletes with disabilities of health
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