首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    New Support Vector Machines Study Findings Have Been Reported from Bhubaneswar ( Feature Extraction and Classification of Power Quality Disturbances Using Optimi zed Tunable-Q Wavelet Transform and Incremental Support Vector Machine)

    57-58页
    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 is now available. Accor ding to news reporting out of Bhubaneswar, India, by NewsRx editors, research st ated, “The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. There is an immediate requirement for effect ive monitoring, detection, and classification of power quality disturbances (PQD s) that is needed to take remedial measures and design planning of the system ar chitecture.”

    Rutgers University - The State University of New Jersey Researcher Details New S tudies and Findings in the Area of Neural Computation (Dense Sample Deep Learning)

    58-58页
    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 ne ural computation. According to news originating from Rutgers University - The St ate University of New Jersey by NewsRx correspondents, research stated, “Deep le arning (DL), a variant of the neural network algorithms originally proposed in t he 1980s (Rumelhart et al., 1986), has made surprising progress in artificial in telligence (AI), ranging from language translation, protein folding (Jumper et a l, 2021), autonomous cars, and, more recently, human-like language models (chatb ots).”

    Data on Machine Learning Reported by Researchers at University of Texas Austin ( Basin-scale Prediction of S-wave Sonic Logs Using Machine Learning Techniques Fr om Conventional Logs)

    59-59页
    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 reporting originating from Austin, Texas, by N ewsRx correspondents, research stated, “S-wave velocity plays a crucial role in various applications but often remains unavailable in vintage wells. To address this practical challenge, we propose a machine learning framework utilizing an e nhanced bidirectional long short-term memory algorithm for estimating S-wave son ic logs from conventional logs, including P-wave sonic, gamma ray, total porosit y, and bulk density.”

    Xinjiang Medical University Reports Findings in Echinococcosis (Multiclassificat ion of Hepatic Cystic Echinococcosis by Using Multiple Kernel Learning Framework and Ultrasound Images)

    60-60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 Parasitic Diseases and Conditions - Echinococcosis is the subject of a report. According to news origi nating from Urumqi, People’s Republic of China, by NewsRx correspondents, resear ch stated, “To properly treat and care for hepatic cystic echinococcosis (HCE), it is essential to make an accurate diagnosis before treatment. The objective of this study was to assess the diagnostic accuracy of computer-aided diagnosis te chniques in classifying HCE ultrasound images into five subtypes.”

    Findings from Universidad del Bio-Bio Broaden Understanding of Machine Learning (Image classification using deep and classical machine learning models on small datasets: a complete comparative)

    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 study results on artificial intell igence have been published. According to news reporting out of the Universidad d el Bio-Bio by NewsRx editors, research stated, “One of the most important challe nges in the Machine and Deep Learning areas today is to build good models using small datasets, because sometimes it is not possible to have large ones.”

    Researchers from University of New England Describe Findings in Artificial Intel ligence (The Practical Epistemologies of Design and Artificial Intelligence)

    61-61页
    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 Ar tificial Intelligence. According to news reporting originating from Armidale, Au stralia, by NewsRx editors, the research stated, “This article explores the epis temological trade-offs that practical and technology design fields make by explo ring past philosophical discussions of design, practitioner research, and pragma tism. It argues that as technologists apply Artificial Intelligence (AI) and mac hine learning (ML) to more domains, the technology brings this same set of epist emological trade-offs with it.”

    New Machine Learning Findings from Wuyi University Published (The Effects of Roc k Zones and Tea Tree Varieties on the Growth and Quality of Wuyi Rock Tea Based on the OPLS-DA Model and Machine Learning)

    62-63页
    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 artificial intell igence have been published. According to news reporting from Wuyishan, People’s Republic of China, by NewsRx journalists, research stated, “Rock zones have an i mportant influence on the yield and quality of Wuyi rock tea. In this study, OPL S-DA combined with machine learning was used to analyze the effects of different rock zones and tea tree varieties on the physicochemical properties of rhizosph ere soil, the growth of the tea tree and the quality of the tea leaves using tea trees in different rock zones.”

    Research from University of Sistan and Baluchestan Provides New Data on Robotics (A new predictive intelligent controller and path planning for mobile robots)

    63-64页
    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 ro botics. According to news reporting out of Zahedan, Iran, by NewsRx editors, res earch stated, “This paper studies the synchronization and control of chaotic sys tems, and a new chaotic-based path is designed for Mobile robots (MRs). The chao tic systems are used to design an unpredictable path for a class of patrol MRs.”

    Data from Waseda University Update Knowledge in Machine Learning (A novel approa ch to evaluating the accessibility of electric vehicle charging infrastructure v ia dynamic thresholding in machine learning)

    64-65页
    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 artificial intell igence have been published. According to news reporting originating from Tokyo, Japan, by NewsRx correspondents, research stated, “The spatial deployment of urb an public electric vehicle charging stations (PEVCSs) plays a pivotal role in th e widespread adoption of electric vehicles (EVs).” Financial supporters for this research include Japan Science And Technology Agen cy; Japan Society For The Promotion of Science (Jsps) Kakenhi.

    Rutgers University - The State University of New Jersey Reports Findings in Canc er (Discrimination of Genetic Biomarkers of Disease through Machine-Learning-Bas ed Hypothesis Testing of Direct SERS Spectra of DNA and RNA)

    65-66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 Cancer is the subject of a report. According to news originating from Piscataway, New Jersey, by NewsR x correspondents, research stated, “Cancer is globally a leading cause of death that would benefit from diagnostic approaches detecting it in its early stages. However, despite much research and investment, cancer early diagnosis is still u nderdeveloped.”