首页|New Machine Learning Study Findings Have Been Reported by Investigators at Jilin University (Near-infrared Off-axis Cavityenhanced Optical Frequency Comb Spect roscopy for Co2/co Dualgas Detection Assisted By Machine Learning)
New Machine Learning Study Findings Have Been Reported by Investigators at Jilin University (Near-infrared Off-axis Cavityenhanced Optical Frequency Comb Spect roscopy for Co2/co Dualgas Detection Assisted By Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published.According to news reporting from Changchun,People's Re public of China,by NewsRx journalists,research stated,"Cavityenhanced direct frequency comb spectroscopy (CE-DFCS) is widely used as a highly sensitive gas sensing technology in various gas detection fields.For the on-axis coupling inc idence scheme,the detection accuracy and stability are seriously affected by th e cavity-mode noise,and therefore,stable operation inevitably requires externa l electronic mode-locking and sweeping devices,substantially increasing system complexity." Financial supporters for this research include National Natural Science Foundati on of China (NSFC),National Natural Science Foundation of China (NSFC),Science and Technology Development Program of Jilin Province,China,Science and Techno logy Research Project of the Department of Education,Jilin Province,China,Key R&D Program of Changchun.
ChangchunPeople's Republic of ChinaA siaCarbon MonoxideCyborgsEmerging TechnologiesInorganic Carbon CompoundsMachine LearningJilin University
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