Deep Learning-Based Food Quality Estimation Using Radio Frequency-Powered Sensor Mote
نویسندگان
چکیده
منابع مشابه
SOC-Based Sensor Mote Design
In this paper, a development of sensor node for environment monitoring is described. The Reconfigurable System-On-chip (RSOC) technology is used to integrate the node’s main components on FieldProgrammable Gate Array (FPGA) chip. The main components required to support the environmental applications such as pixels sensor, reconfigurable processing core, and a tiny solar unit for recharging node...
متن کاملDeep Learning-Based Food Calorie Estimation Method in Dietary Assessment
Obesity treatment requires obese patients to record all food intakes per day. Computer vision has been introduced to estimate calories from food images. In order to increase accuracy of detection and reduce the error of volume estimation in food calorie estimation, we present our calorie estimation method in this paper. To estimate calorie of food, a top view and side view is needed. Faster R-C...
متن کاملIndoor Air Quality Analysis Using Deep Learning with Sensor Data
Indoor air quality analysis is of interest to understand the abnormal atmospheric phenomena and external factors that affect air quality. By recording and analyzing quality measurements, we are able to observe patterns in the measurements and predict the air quality of near future. We designed a microchip made out of sensors that is capable of periodically recording measurements, and proposed a...
متن کاملDeep Learning Based Food Recognition
Food is the cornerstone of people’s life. Nowadays more and more people cares about the dietary intake since unhealthy diet leads to numerous diseases, like obesity and diabetes. Accurately labelling food items is significantly essential to keep fit and live a healthy life. However, currently referring to nutrition experts or Amazon Mechanical Turk is the only way to recognize the food items. I...
متن کاملDeep Learning Powered In-Session Contextual Ranking using Clickthrough Data
User interactions with search engines provide many cues that can be leveraged to improve the relevance of search results through personalization. The context information (history of queries, clicked documents, etc.) provides strong signals about users’ search intent, which can be used to personalize the search experience and improve a web search engine. We demonstrate how to generate the semant...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2993053