查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Bengaluru, India, by NewsRx journal ists, research stated, “In this communication, a dual port printed multi-input a nd multi-output (MIMO) antenna with high isolation of dimension 12 x 8.5 x 0.8 m m3 is designed, analyzed, and investigated for 28-GHz 5G mm-wave applications. T he metasurface layer is suspended over the MIMO antenna to convert the linearly polarized (LP) wave to a circularly polarized (CP) wave.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating from Sydney, Australia, b y NewsRx correspondents, research stated, “Cognitive ergonomics refer to mental resources and is associated with memory, sensory motor response, and perception. Cognitive workload (CWL) involves use of working memory (mental strain and effo rt) to complete a task.” Financial support for this research came from University of New South Wales.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Riverside, California, by New sRx correspondents, research stated, “We assemble the largest C IV absorption li ne catalogue to date, leveraging machine learning, specifically Gaussian process es, to remove the need for visual inspection for detecting C IV absorbers. The c atalogue contains probabilities classifying the reliability of the absorption sy stem within a quasar spectrum.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting out of Delft University of Techno logy by NewsRx editors, research stated, “Creating durable, eco-friendly coating s for long-term corrosion protection requires innovative strategies to streamlin e design and development processes, conserve resources, and decrease maintenance costs.” Our news journalists obtained a quote from the research from Delft University of Technology: “In this pursuit, machine learning emerges as a promising catalyst, despite the challenges presented by the scarcity of high-quality datasets in th e field of corrosion inhibition research. To address this obstacle, we have crea ted an extensive electrochemical library of around 80 inhibitor candidates. The electrochemical behaviour of inhibitor-exposed AA2024-T3 substrates was captured using linear polarisation resistance, electrochemical impedance spectroscopy, a nd potentiodynamic polarisation techniques at different exposure times to obtain the most comprehensive electrochemical picture of the corrosion inhibition over a 24-h period.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from Harbin, Peop le’s Republic of China, by NewsRx correspondents, research stated, “PurposeTo so lve the obstacle detection problem in robot autonomous obstacle negotiation, thi s paper aims to propose an obstacle detection system based on elevation maps for three types of obstacles: positive obstacles, negative obstacles and trench obs tacles. Design/methodology/approachThe system framework includes mapping, ground segmentation, obstacle clustering and obstacle recognition.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Support Vecto r Machines have been published. According to news reporting originating in Inner Mongolia, People’s Republic of China, by NewsRx journalists, research stated, “ The State estimation and determination of time-varying model parameters are cruc ial for ensuring the safe management of lithium-ion batteries. This paper design s a limited memory recursive least square algorithm to improve the accuracy of o nline parameter identification.” Funders for this research include National Natural Science Foundation of China ( NSFC), Sichuan Science and Technology Program, Fund of Robot Technology used for Special Environment Key Laboratory of Sichuan Province, Robert Gordon University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting originating from Cleveland, Ohio, by Ne wsRx correspondents, research stated, “Shallow underwater environments around th e world are contaminated with unexploded ordnances (UXOs).” Funders for this research include Office of Naval Research; Strategic Environmen tal Research And Development Program.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Sydn ey, Australia, by NewsRx correspondents, research stated, “While ceramic additiv e manufacturing (AM) technologies have shown great promise to create functional scaffolds with tailored biomechanical properties, the true potential of these ad vanced techniques has not been fully exploited yet due to lack of practical desi gn optimisation approaches. To address this challenge, a machine learning (ML)-b ased design approach is proposed herein where ceramic 3D printing techniques are combined to fabricate functionally graded tissue scaffolds composed of Triply P eriodic Minimal Surfaces (TPMS), aiming to fulfil the anticipated biomechanical requirements for the target bone regeneration outcomes.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from the Cedars-Si nai Medical Center by NewsRx journalists, research stated, “A clinical artificia l intelligence (AI) system is often validated on data withheld during its develo pment.” The news correspondents obtained a quote from the research from Cedars-Sinai Med ical Center: “This provides an estimate of its performance upon future deploymen t on data in the wild; those currently unseen but are expected to be encountered in a clinical setting. However, estimating performance on data in the wild is c omplicated by distribution shift between data in the wild and withheld data and the absence of ground-truth annotations. Here, we introduce SUDO, a framework fo r evaluating AI systems on data in the wild. Through experiments on AI systems d eveloped for dermatology images, histopathology patches, and clinical notes, we show that SUDO can identify unreliable predictions, inform the selection of mode ls, and allow for the previously out-of-reach assessment of algorithmic bias for data in the wild without ground-truth annotations.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Warsaw, Poland, by New sRx editors, research stated, “Specific flood volume is an important criterion f or evaluating the performance of sewer networks. Currently, mechanistic models - MCMs (e.g., SWMM) are usually used for its prediction, but they require the col lection of detailed information about the characteristics of the catchment and s ewer network, which can be difficult to obtain, and the process of model calibra tion is a complex task.”
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