MULTI WAY

Brand Owner (click to sort) Address Description
MULTIWAY Multiway Robotics (Shenzhen) Co., Ltd. 601, Building 1, Hengtaiyu Building, China MULTI WAY;The non-Latin characters in the mark transliterate to MAI WEI and this means try to start with small things and be profound in English.;Orbital vehicle, namely, space vehicles;The English translation of MAI WEI in the mark is profound.;
MULTIWAY Multiway Robotics (Shenzhen) Co., Ltd. 601, Building 1, Hengtaiyu Building, China MULTI WAY;Creation of control programs for electrically operated control and drive components; computer programming; installation of computer software; updating of computer software; computer software design; monitoring of computer systems by remote access; rental of computer software; development of computer software; upgrading and maintenance of computer software; driver and operating system software development;
MULTIWAY Shenzhen Anlan Maoyi Co., Ltd. C330-1, Wanzhongcheng Clothing Wholesale Market, Xinniu Community, Minzhi Street, Longhua ,Shenzhen, 518131 China MULTI WAY;Athletic apparel, namely, shirts, pants, jackets, footwear, hats and caps, athletic uniforms; Bathing suits; Halloween costumes and masks sold in connection therewith; Knitwear, namely, shirts, dresses, sweaters; Overcoats; Pants; Shirts; Skirts; Thong footwear; Top coats; Travel clothing contained in a package comprising reversible jackets, pants, skirts, tops and a belt or scarf; Underclothes;
 

Where the owner name is not linked, that owner no longer owns the brand

   
Technical Examples
  1. Systems methods and recordable media for predicting multi-variable outcomes based on multi-variable inputs. Additionally, the models described can be used to predict the multi-variable inputs themselves, based on the multi-variable inputs, providing a smoothing function, acting as a noise filter. Both multi-variable inputs and multi-variable outputs may be simultaneously predicted, based upon the multi-variable inputs. The models find a critical subset of data points, or "tent poles" to optimally model all outcome variables simultaneously to leverage communalities among outcomes.