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    Findings on Nanofluids Discussed by Investigators at Southeast University (Stead y Flow Properties and Spectral Absorption Potential of Supercritical Carbon Diox ide Nanofluids: Experimental Comparison and Machine Learning Optimization)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Nanotechnology-Nanoflu ids have been published. According to news reporting from Nanjing, People's Repu blic of China, by NewsRx journalists, research stated, “To improve the performan ce of the power cycle and accelerate the realization of the carbon neutrality go al, the development and application of nanofluids are imminent. In this research, we established a supercritical nanofluid spectral absorbance prototype and pre pared seven supercritical carbon dioxide nanofluids for various valuable works.”

    Researchers at National Institute of Technology Raipur Release New Data on Machi ne Learning (Evaluation of Machine Learning Techniques With Aviris-ng Dataset In the Identification and Mapping of Minerals)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Raipur, India, by NewsRx journalists, research stated, “Identifying valuable mineral resources is obligatory for hum an development and survival due to their scientific and economic implications. H yperspectral Remote Sensing (HRS) is an efficient technique that empowers us to precisely identify and map altered minerals based on spectral absorption curves in the VNIR and SWIR range of the electromagnetic spectrum.” Financial support for this research came from Space Application Cen-tre, Indian Space Research Organization India.

    Study Data from Yildiz Technical University Update Understanding of Artificial Intelligence (Enhancement of Underwater Images With Artificial Intelligence)

    61-62页
    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 out of Yildiz Tech nical University by NewsRx editors, research stated, “Camera systems using optic al sensors have made great progress in recent years in obtaining underwater imag es. Very high-resolution images can be obtained with underwater cameras.”

    University of Strasbourg Researcher Illuminates Research in Machine Learning (Fo recasting East and West Coast Gasoline Prices with Tree-Based Machine Learning A lgorithms)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on artificial intelligence have bee n presented. According to news originating from Strasbourg, France, by NewsRx co rrespondents, research stated, “This study aims to forecast New York and Los Ang eles gasoline spot prices on a daily frequency.”

    Reports Outline Intelligent Systems Study Findings from Shandong University of S cience and Technology (Vit-upernet: a Hybrid Vision Transformer With Unified-per ceptual-parsing Network for Medical Image Segmentation)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning-Intel ligent Systems are presented in a new report. According to news reporting out of Shandong, People's Republic of China, by NewsRx editors, research stated, “The existing image semantic segmentation models have low accuracy in detecting tiny targets or multi-targets at overlapping regions. This work proposes a hybrid vis ion transformer with unifiedperceptual- parsing network (ViT-UperNet) for medica l image segmentation.”

    Data on Machine Learning Reported by Shi Tang and Colleagues (Transferability of Machine Learning Models for Predicting Raman Spectra)

    63-64页
    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 the subject of a report. According to news reporting from Quzhou, People's Republi c of China, by NewsRx journalists, research stated, “Theoretical prediction of v ibrational Raman spectra enables a detailed interpretation of experimental spect ra, and the advent of machine learning techniques makes it possible to predict R aman spectra while achieving a good balance between efficiency and accuracy. How ever, the transferability of machine learning models across different molecules remains poorly understood.”

    Research on Machine Translation Published by a Researcher at Wuhan University of Technology (Unsupervised Multimodal Machine Translation for Low-Resource Distan t Language Pairs)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on machine translation are presented in a new report. According to news reporting out of Wuhan, People's Re public of China, by NewsRx editors, research stated, “Unsupervised machine trans lation (UMT) has recently attracted more attention from researchers, enabling mo dels to translate when languages lack parallel corpora.”

    New Findings Reported from University of Connecticut Describe Advances in Brain- Based Devices (Closed-loop Brain Machine Interface System for In-vehicle Function Controls Using Head-up Display and Deep Learning Algorithm)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Brain-Based Devices is now availab le. According to news reporting originating from Farmington, Connecticut, by New sRx correspondents, research stated, “Human-vehicle interfaces have evolved with technologies such as touchscreens, voice commands, and advanced steering wheels with control panels. However, these technologies can increase the driver's cogn itive workload and distraction, potentially compromising road safety.”

    Researchers from Istanbul Technical University Provide Details of New Studies and Findings in the Area of Support Vector Machines (Spatial Prediction of Receive d Signal Strength For Cellular Communication Using Support Vector Machine And .. .)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in . Accor ding to news reporting originating from Istanbul Technical University by NewsRx correspondents, research stated, “Signal strength maps are of great importance f or cellular system providers in network planning and operation. Accurate predict ion of signal strength is important for solving problems such as link quality.”

    Studies from Chongqing University of Technology Reveal New Findings on Machine Learning (Machine Learning Aided Process Design of Fe-cr-ni-al/ti Multi-principal Element Alloys for Excellent Mechanical Properties)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news originating from Chongqing, People's Republic of Ch ina, by NewsRx correspondents, research stated, “Fe-Cr-Ni- Al/Ti multi -principal element alloys (MPEAs) with the good mechanical properties were designed by uti lizing machine learning (ML) methods in our previous work. It can be noted that the post -processing (thermomechanical treatments, TMT) can tailor microstructur es of the designed MPEAs with an aim to further obtain excellent mechanical prop erties.”