Abstract: Various aspects of the present disclosure generally relate to wireless communication and testing. In some aspects, a device may receive information identifying a mount orientation of a wireless communication device, wherein the mount orientation indicates an orientation of a coordinate system of the wireless communication device relative to a coordinate system of a positioner. The device may capture measurement information at each position of a set of positions of the wireless communication device, wherein the set of positions comprises positions of the wireless communication device as the wireless communication device is rotated around an axis by the positioner, and wherein the measurement information is captured based at least in part on the mount orientation. The device may provide information identifying the measurement information. Some techniques and apparatuses described herein may use the measurement information to generate a codebook for beam generation. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication and testing. In some aspects, a device may receive information identifying a mount orientation of a wireless communication device, wherein the mount orientation indicates an orientation of a coordinate system of the wireless communication device relative to a coordinate system of a positioner. The device may capture measurement information at each position of a set of positions of the wireless communication device, wherein the set of positions comprises positions of the wireless communication device as the wireless communication device is rotated around an axis by the positioner, and wherein the measurement information is captured based at least in part on the mount orientation. The device may provide information identifying the measurement information. Some techniques and apparatuses described herein may use the measurement information to generate a codebook for beam generation. Numerous other aspects are provided.

Abstract: A method of non-invasive detection of tumor and/or healthy tissue using hyperspectral imaging is provided. The method includes determining a pixel-wise classification of a hyperspectral image obtained from a target tissue by implementing a machine learning approach fed with hyperspectral data of at least one pixel. The method further includes performing a segmentation of the hyperspectral image by grouping pixels into at least one cluster based on the hyperspectral data of each pixel. The same classification is assigned to all the pixels belonging to the same cluster, so that each cluster is associated with a certain classification.

Abstract: Various aspects of the present disclosure generally relate to wireless communication and testing. In some aspects, a device may receive information identifying a mount orientation of a wireless communication device, wherein the mount orientation indicates an orientation of a coordinate system of the wireless communication device relative to a coordinate system of a positioner. The device may capture measurement information at each position of a set of positions of the wireless communication device, wherein the set of positions comprises positions of the wireless communication device as the wireless communication device is rotated around an axis by the positioner, and wherein the measurement information is captured based at least in part on the mount orientation. The device may provide information identifying the measurement information. Some techniques and apparatuses described herein may use the measurement information to generate a codebook for beam generation. Numerous other aspects are provided.

Abstract: Method of non-invasive detection of tumour and/or healthy tissue using hyperspectral imaging, comprising: determining a pixel-wise classification of a hyperspectral image obtained from a target tissue by implementing a machine learning approach fed with hyperspectral data of at least one pixel; performing a segmentation of the hyperspectral image by grouping pixels into at least one cluster based on the hyperspectral data of each pixel; assigning the same classification to all the pixels belonging to the same cluster, so that each cluster is associated with a certain classification.

Abstract: A recorder device, such as a VCR, digital video recorder, or the like, that can be programmed from a remote computing device, such as a personal computer mobile personal digital assistant, or cell phone, over a wired and/or wireless network is disclosed. The recording device includes a recording medium configured to record audio and/or video content. A controller, which is coupled to the recording medium, is configured to control the writing of audio and/or video content onto the recording medium and to control the reading of audio and/or video content stored on the recording medium. The recording apparatus also includes a network interface configured to receive recording commands generated by a remote computer and transmitted via a network coupled to the network interface and to provide the received recording commands to the controller, the recording commands defining a selected programming content to be recorded on the recording medium.