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  • A survey of human motion analysis using depth

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    2020-12-28 · Code Issues Pull requests. Vision framework which brings a more robust, Deep Learning-based approach to some usual OpenCV use cases. python opencv machine-learning deep-learning pytorch vision template-project vision-framework mlflow tensorboardx kedro neural-network-intelligence. Updated on Apr 6. Python.

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    2020-6-9 · Facial Recognition in the Ethical Crosshairs. Facial recognition has become one of the most visible forms of AI, thanks to recent advances in deep learning and neural networks that have increased the accuracy to unprecedented levels. However, despite the progress, f Read more…

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    2017-3-21 · The neural network in Python may have difficulty converging before the maximum number of iterations allowed if the data is not normalized. Multi-layer Perceptron is sensitive to feature scaling, so it is highly recommended to scale your data. Note that you must apply the same scaling to the test set for meaningful results.

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    2017-3-21 · The neural network in Python may have difficulty converging before the maximum number of iterations allowed if the data is not normalized. Multi-layer Perceptron is sensitive to feature scaling, so it is highly recommended to scale your data. Note that you must apply the same scaling to the test set for meaningful results.

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    2018-9-1 · 7.3. Computational intelligence in social networking data analysis. Evidently, data analysis borrows concepts and tools mostly from graph theory, text mining, semantic technologies and conventional machine learning techniques. However, less attention has been attracted the Computational Intelligence paradigm.

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  • facial recognition Archives - Datanami

    2020-6-9 · Facial Recognition in the Ethical Crosshairs. Facial recognition has become one of the most visible forms of AI, thanks to recent advances in deep learning and neural networks that have increased the accuracy to unprecedented levels. However, despite the progress, f Read more…

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  • A survey of human motion analysis using depth

    2013-11-1 · Highlights Introduction to the recent advances in depth sensing technologies. Survey of human motion analysis using depth images, including action recognition. Covers significant literature that uses Kinect or time-of-flight images. Details public software libraries/human action/activity datasets based on Kinect. Discusses current research and prospective future research directions.

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  • Tabu Search—Part I | ORSA Journal on Computing

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  • 10 Thermal Vision Cameras For Drones And How

    2020-12-21 · This event is also supported by IOP Conference Series: Materials Science and Engineering. ICAMIE 2020 was originally scheduled on July 8-9th at Cilegon city, Banten province, Indonesia. However, due to the government's regulation on social distance related to the pandemic of COVID-19 and the limitation of overseas flights, the onsite ...

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    2021-1-15 · 1. Introduction. In recent months, severe acute respiratory syndrome coronavirus disease in 2019 (COVID-19) has continued to spread worldwide at an alarming rate, regardless of pre-existing medical conditions, age or other patient demographics [, , ].The death rate is significantly higher than that of the flu, and the death rate in the United States gives the impression to be higher than in ...

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    2018-2-1 · 1.1. Statistical Data about Obesity in the World. The World Health Organization (WHO) [] has published that each year overweight or obesity is the cause of 2.8 million people's death and 35.8 million people (about 2.3%) of disability-adjusted life year (DALY).The presence of overweight and obesity implies adverse metabolic effects on blood pressure, cholesterol, triglycerides, and insulin ...

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  • Systems and WBANs for Controlling Obesity

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  • facial recognition Archives - Datanami

    2020-6-9 · Facial Recognition in the Ethical Crosshairs. Facial recognition has become one of the most visible forms of AI, thanks to recent advances in deep learning and neural networks that have increased the accuracy to unprecedented levels. However, despite the progress, f Read more…

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  • Publications | NIST

    2021-7-1 · Report Number This publications database includes many of the most recent publications of the National Institute of Standards and Technology (NIST). ... (AI) in all fields depends heavily on data size and computational. ... of measurements was conducted using a bidirectional probe to characterize the upward speed in the plumes of medium-scale ...

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    2021-2-15 · Shen Lu. February 15, 2021. A slew of Chinese startups went public in 2020, and it looks like Chinese tech IPOs will keep booming through 2021. Three of China's 'four AI dragons' (AI四小龙) are almost certain to go public this year. Some of China's biggest unicorns, such as ByteDance and Didi Chuxing, are also likely to join them.

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    2020-4-9 · Intel and Georgia Tech plan to use some of the largest open-source image datasets — ImageNet and Microsoft's Common Objects in Context, for example. Open-source data is a DARPA requirement, and they're prioritizing research reproducibility. But those …

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    2018-2-1 · 1.1. Statistical Data about Obesity in the World. The World Health Organization (WHO) [] has published that each year overweight or obesity is the cause of 2.8 million people's death and 35.8 million people (about 2.3%) of disability-adjusted life year (DALY).The presence of overweight and obesity implies adverse metabolic effects on blood pressure, cholesterol, triglycerides, and insulin ...

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  • Systems and WBANs for Controlling Obesity

    2015-6-29 · This paper presents the fundamental principles underlying tabu search as a strategy for combinatorial optimization problems. Tabu search has achieved impressive practical successes in applications ranging from scheduling and computer channel balancing to cluster analysis and space planning, and more recently has demonstrated its value in treating classical problems such as the …

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  • Tabu Search—Part I | ORSA Journal on Computing

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