查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reporting fromMilano, Italy, by NewsRx jou rnalists, research stated, “DC microgrids have gained significant attention inr ecent years due to their potential to enhance energy efficiency, integrate renew able energy sources, andimprove the resilience of power distribution systems.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “Achieving highprecision,hi gh-resolution monitoring of nearshore water depth is essential for addressing ma rinedisastersand environmental variations. Synthetic aperture radar(SAR) imagin g offers the advantage of all-day,all-weather observations of coastlines, and i maging is unaffected by water quality.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingout of Hunan, People’s Republic o f China, by NewsRx editors, research stated, “The drill-blasting methodis a com monly used mining technique in open-pit mines, and the peak particle velocity (P PV) causedby blasting vibrations is an important indicator for evaluating the r ationality of blasting mining designparameters.”Financial supporters for this research include Central South University; State K ey Laboratory of SafetyAnd Health For Metal Mines.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Luoyang, People’s Repub lic of China, by NewsRx correspondents, research stated, “Faultdiagnosis (FD) i s vital for enhancing chiller efficiency and reliability. Feature selection (FS) is the prerequisiteand key to diagnose faults.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Bonn, German y, by NewsRx correspondents, research stated, “Semantic segmentationenables rob ots to perceive and reason about their environments beyond geometry. Most of such systems build upon deep learning approaches.”Financial support for this research came from German Research Foundation (DFG).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Anchor age, Alaska, by NewsRx journalists, research stated, “The stableisotope composi tions of water (618O, 62H, deuterium-excess) are important tracers that help ill uminatethe changing Arctic water cycle and how Arctic-sourced water can influen ce lower latitudes. We presentsimultaneous boundary layer water vapor and ocean water isotope data that were measured continuouslyin the western Arctic Ocean. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Androids. According to news reportingoriginating in Baoding, People’s Republic of China, by NewsRx journalists, research stated, “Computervision-base d gesture recognition methods play a significant role in robot visual gesture in teraction. sinceof low accuracy leading by insuffcient feature representation a nd fusion, the existing gesture segmentationand recognition methods fail to mee t the requirements of practical applications. To address these issues,a lightwe ight two-stage end-to-end gesture recognition network called Fusing Gate Dual St ages Network(FGDSNet) is proposed.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from the Centre for Nanotechnology by NewsRx correspondents, research stated, “Thewidespread ad option of lithium-ion batteries has ushered in a transformative era across indus tries, poweringan array of devices from portable electronics to electric vehicl es.”The news journalists obtained a quote from the research from Centre for Nanotech nology: “Thisreview explores recent advancements in machine learning tools tail ored for improving battery materials,management strategies, and system-level op timization. It provides a comprehensive overview of the currentlandscape, empha sizing the less-explored evolution of machine learning algorithms in battery mat erials.Machine learning integration enhances our understanding of material prop erties, accelerates the discoveryof efficient compositions, and contributes to the development of more durable lithium-ion batteries. Thearticle also delves i nto machine learnings role in predicting State of Health and remaining useful li fe,crucial for proactive battery maintenance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Durham, North Carolin a, by NewsRx journalists, research stated, “In the rapidly developingfield of n anophotonics, machine learning (ML) methods facilitate the multi-parameter optim ization processesand serve as a valuable technique in tackling inverse design c hallenges by predicting nanostructuredesigns that satisfy specific optical prop erty criteria. However, while considerable efforts have been devotedto applying ML for designing the overall spectral response of photonic nanostructures, ofte n withoutelucidating the underlying physical mechanisms, physics-based models r emain largely unexplored.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g out of Essex, United Kingdom, by NewsRx editors, researchstated, “Depth map a nd ego-motion estimations from monocular consecutive images are challenging tou nsupervised learning Visual Odometry (VO) approaches. This paper proposes a nove l VO architecture:Recurrent Spatial-Temporal Network (RSTNet), which can estima te the depth map and ego-motion frommonocular consecutive images.”
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