Abstract: The present invention provides a coal-based solid waste transport and filling integrated machine mining system, comprising a filling hydraulic support (6) and a coal winning machine (7), said filling hydraulic support (6) comprises a hydraulic top plate and a base (601), said hydraulic top plate comprises a hinged front top beam (602) and a rear top beam (603), with a front probe beam (604) attached to front end of said front top beam (602) and a telescopic slide rod (1) connected to rear end of said rear top beam (603), a double transport and single filling non-stop equipment is fixed on the telescopic slide rod (1). The apparatus and method of the present invention weaken the impact of groundwater pollution on mine production and mine ecology, bring good economic and environmental benefits to the mine and promoting safe and green coal mining.

Abstract: Techniques configuring a machine learning model include instantiating a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform. A selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model are received and sent to the machine learning model. A selection of one or more directories and an instruction to apply the machine learning model are sent to the machine learning model.

Abstract: Techniques configuring a machine learning model include instantiating a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform. A selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model are received and sent to the machine learning model. A selection of one or more directories and an instruction to apply the machine learning model are sent to the machine learning model.

Abstract: The invention concerns the fabrication and characterization of vertical geometry transparent Schottky barrier ultraviolet detectors based on n.sup.- /n.sup.+ -GaN and AlGaN structures grown over sapphire substrates. Mesa geometry devices of different active areas were fabricated and characterized for spectral responsitivity, speed and noise characteristics. The invention also concerns the fabrication and characterization of an 8.times.8 Schottky barrier photodiode array on GaN with a pixel size of 200 .mu.m by 200 .mu.m.