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    Study Results from Cochin University of Science and Technology Provide New Insig hts into Machine Learning (Machine-learning Approach for Prediction and Analysis of Quantitative and Qualitative Parameters of Binary Polar Liquids)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Kochi, India, by NewsRx journa lists, research stated, “Quantitative and qualitative parameters are essential f or comprehending the intermolecular interactions in binary polar liquids. In thi s work, complex permittivity and excess dielectric constant of alcohol-water mix ture is used for the quantitative and qualitative analysis, respectively.”

    New Data from University of Florida Illuminate Findings in Machine Learning (Sur veillance of Pathogenic Bacteria On a Food Matrix Using Machine-learning-enabled Paper Chromogenic Arrays)

    47-48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 originating from Gainesville, Florida, by News Rx correspondents, research stated, “Global food systems can benefit significant ly from continuous monitoring of microbial food safety, a task for which tedious operations, destructive sampling, and the inability to monitor multiple pathoge ns remain challenging. This study reports significant improvements to a paper ch romogenic array sensor - machine learning (PCA-ML) methodology sensing concentra tions of volatile organic compounds (VOCs) emitted on a speciesspecific basis by pathogens by streamlining dye selection, sensor fabrication, database construct ion, and machine learning and validation.”

    University of Toronto Reports Findings in Cerebral Palsy (Measuring functional h and use in children with unilateral cerebral palsy using accelerometry and machi ne learning)

    48-49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 Central Nervous System Diseases and Conditions - Cerebral Palsy is the subject of a report. According to news reporting out of Toronto, Canada, by NewsRx editors, research stated, “T o investigate wearable sensors for measuring functional hand use in children wit h unilateral cerebral palsy (CP). Dual wrist-worn accelerometry data were collec ted from three females and seven males with unilateral CP (mean age = 10 years 2 months [SD 3 years]) while performing han d tasks during video-recorded play sessions.”

    Reports Outline Robotics Findings from Sapienza University of Rome (Deconstructi ng Haptic Feedback Information In Robotassisted Needle Insertion In Soft Tissues)

    49-50页
    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 out of Rome, Italy, by NewsRx editors, research stated, “This paper evaluates the role and effectiveness of d ifferent types of haptic feedback in presenting relevant feedback information du ring needle insertion in soft tissues through a remotely operated robot. We carr ied out three experiments with human subjects to analyze the effect of grounded kinesthetic feedback, cutaneous vibrotactile feedback, and cutaneous pressure fe edback for rendering the elastic and the viscous force components of a simplifie d needle-tissue interaction model in a simulated environment.”

    Researchers from National University of Defense Technology Describe Findings in Intelligent Systems (MT $$∧2$ $ 2 AD: multilayer temporal transaction anomaly detection in ethe reum networks with GNN)

    50-51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 intelli gent systems. According to news reporting out of National University of Defense Technology by NewsRx editors, research stated, “In recent years, a surge of crim inal activities with cross-cryptocurrency trades have emerged in Ethereum, the s econd-largest public blockchain platform. Most of the existing anomaly detection methods utilize the traditional machine learning with feature engineering or gr aph representation learning technique to capture the information in transaction network.”

    Capital Medical University Reports Findings in Machine Learning (The Machine Lea rning Model for Predicting Inadequate Bowel Preparation before Colonoscopy: a Mu lticenter Prospective Study)

    51-51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 th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Colonoscopy is a critical diagnostic tool for colorectal diseases; however, its effectiveness depends on a dequate bowel preparation (BP). This study aimed to develop a machine learning p redictive model based on Chinese adults for inadequate BP.”

    University of Malaya Researchers Report Research in Artificial Intelligence (App lication of Artificial Intelligence in Particle and Impurity Detection and Remov al: A Survey)

    52-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Kuala Lump ur, Malaysia, by NewsRx correspondents, research stated, “With the rapid develop ment of artificial intelligence (AI), especially in machine learning and deep le arning technologies, the particle and impurity detection and removal processes e mployed in many industries have been improved.” Funders for this research include Jabatan Perkhidmatan Awam Malaysia.

    Studies from Shandong University Have Provided New Information about Artificial Intelligence (Artificial Intelligence, Household Financial Fragility and Energy Resources Consumption: Impacts of Digital Disruption From a Demand-based Perspec tive)

    53-54页
    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 Artificial In telligence have been published. According to news reporting from Weihai, People’ s Republic of China, by NewsRx journalists, research stated, “Ensuring access to affordable energy for all is laid out among the 17 Sustainable Development Goal s and it remains an important open question as to how the popularity and widespr ead application of artificial intelligence (AI) in the workforce impact househol d energy resources consumption. To systematically investigate the impacts of the application of artificial intelligence in the workforce on household energy con sumption in China, empirical analysis is conducted using data from the China Gen eral Social Survey (CGSS) from May to September 2022.”

    Researchers from Beijing Institute of Technology Report Details of New Studies a nd Findings in the Area of Machine Learning (A Review of Icing Prediction Techni ques for Four Typical Surfaces In Low-temperature Natural Environments)

    54-55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 Machine Learning is now available. According to news reporting from Beijing, People’s Republic of China , by NewsRx journalists, research stated, “As a common phenomenon in nature and industrial fields, icing always adversely affects life, and plays negative effec ts. Although series of anti-/de-icing techniques are widely investigated, icing prediction techniques on surfaces under low-temperature natural environment are more important due to effectively reduce or even prevent icing caused harms.”

    Findings from New York University (NYU) Provides New Data about Robotics (Active Learning of Discrete-time Dynamics for Uncertainty-aware Model Predictive Contr ol)

    55-56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 Robotics are presented i n a new report. According to news reporting out of New York City, New York, by N ewsRx editors, research stated, “Model-based control requires an accurate model of the system dynamics for precisely and safely controlling the robot in complex and dynamic environments. Moreover, in presence of variations in the operating conditions, the model should be continuously refined to compensate for dynamics changes.”