{"product_id":"efficient-intelligence-with-applications-in-embedded-sensing-hardcover","title":"Efficient Intelligence with Applications in Embedded Sensing - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eYong Liu\u003c\/b\u003e (Guest Editor), \u003cb\u003eXingxing Zuo\u003c\/b\u003e (Guest Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book delves into the realm of efficient intelligence, encompassing fundamental and applied research. It explores the applications of embedded sensing in a variety of embedded devices, including industrial robots, unmanned vehicles, elevator traction machines, fuel cells, and more. Special attention is given to collaborative autonomous navigation, simultaneous localization and mapping (SLAM), target object tracking, LiDAR point cloud analysis, prognostic methods for fuel cells, fabric defect detection in manufacturing, elevator traction machine recognition, object detection, vision-based autonomous forklifts, among others.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 192\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9.61 x 6.69 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 12, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53522530599219,"sku":"9783036579863","price":88.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/b76mPpa3pf9783036579863.webp?v=1781974563","url":"https:\/\/www.vysn.com\/products\/efficient-intelligence-with-applications-in-embedded-sensing-hardcover","provider":"VYSN","version":"1.0","type":"link"}