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    Researchers from International Centre for Agricultural Research in the Dry Areas (ICARDA) Describe Findings in Machine Learning (Predicting Wheat Yield Gap and Its Determinants Combining Remote Sensing, Machine Learning, and Survey Approach es …)

    76-77页
    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 reportingoriginating from Rabat, Morocco, by NewsRx correspondents, research stated, “Wheat plays a crucial rolein Morocco ‘ s food security, economic stability, and livelihoods of farming communities. Ass essing keyvegetation indices (as yield predictors), along with understanding po tential yield, yield gap, and majordeterminants for this gap at regional and na tional scales, is vital for improving food security with resiliencein variable climatic conditions.”

    Investigators from Zhengzhou University Zero in on Machine Learning (Bioinspired Composite Fiber Aerogel Pressure Sensor for Machine-learning-assisted Human Act ivity and Gesture Recognition)

    77-78页
    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 have been published. According tonews originating from Henan, People’s Repu blic of China, by NewsRx correspondents, research stated,“Machine-learning-assi sted human activity and gesture recognition are valuable for human-computer interaction, and data acquisition often necessitates high-performance sensors. Here, inspired by spider weband bat wing airflow sensing system, polyimide fiber (PI F)/carbon black (CB) composite fiber aerogel(CFA) pressure sensor with biomimet ic hair-Merkel cell sensitive unit was developed, exhibiting ultralowdetection limit (2 Pa), high pressure sensitivity (S=23.1 kPa(-1)), wide linear detection capacity up to67.61 kPa, and fast response/recovery time (140/100 ms).”

    Studies from Technical University Berlin (TU Berlin) in the Area of Machine Lear ning Reported (From Abstraction To Design: Interpretable Tree-based Machine Lear ning for Stable Thermoacoustic System Layout)

    78-79页
    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 reporting fromBerlin, Germany, by NewsRx journali sts, research stated, “Thermoacoustic instabilities are a long-standingproblem. Both academia and industry researched intensively this problem, but even today, no guidelines(or design rules) exist to layout a stable combustor.”

    McMaster University Reports Findings in Machine Learning (Machine learning in pr eclinical drug discovery)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Hamilton, Cana da, by NewsRx journalists, research stated, “Drug-discovery anddrug-development endeavors are laborious, costly and time consuming. These programs can take upw ardof 12 years and cost US $2.5 billion, with a failure rate of mo re than 90%.”

    Data on Machine Learning Reported by Researchers at University of Palermo (Adver spam: Adversarial Spam Account Manipulation In Online Social Networks)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Palermo, Italy, by N ewsRx journalists, research stated, “In recent years, the widespreadadoption of Machine Learning (ML) at the core of complex IT systems has driven researchers to investigatethe security and reliability of ML techniques. A very specific ki nd of threats concerns the adversarymechanisms through which an attacker could induce a classification algorithm to provide the desiredoutput.”

    Reports Outline Robotics Study Findings from Shanghai Jiao Tong University (Visi on-guided Path Planning and Joint Configuration Optimization for Robot Grinding of Spatial Surface Weld Beads Via Point Cloud)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news originating from Shanghai,People’s Republic of China, by NewsRx correspondents, research stated, “The aerospace industry facescritical d emands for automated and intelligent grinding of welds on curved surfaces. The c ombination of3D vision technology and robot grinding system offers a feasible a nd promising solution.”

    Findings from Bucharest University of Economics Studies Broaden Understanding of Machine Learning (Iot Embedded Smart Monitoring System With Edge Machine Learni ng for Beehive Management)

    82-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Bucharest, Romania, by NewsRx journalists, research stated, “The need of an automated supportsystem that hel ps beekeepers maintain and improve beehive population was always a very stressin gaspect of their work considering the importance of a healthy bee population. T his paper presents a proofof concept, further referred as a PoC solution, based on the Internet of Things technology which proposesa smart monitoring system u sing machine learning processes, diligently combining the power of edgecomputin g by means of communication and control.”

    Researchers from Dalhousie University Describe Research in Artificial Intelligen ce (A Survey of Industrial AIoT: Opportunities, Challenges, and Directions)

    83-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews originating from Dalhous ie University by NewsRx editors, the research stated, “Internet of Things(IoT) is an important technology employed in a variety of different applications, such as transportation,healthcare, and manufacturing. In recent years, the number o f IoT devices deployed globally has beenincreasing at a rapid pace and is estim ated to reach 20 billion by the end of 2025.”

    Findings on Machine Learning Discussed by Investigators at University of British Columbia (Residual Vector and Solution Mode Analysis Using Semi-supervised Mach ine Learning for Mesh Modification and Cfd Stability Improvement)

    84-84页
    查看更多>>摘要:– By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Vancouver, Can ada, by NewsRx journalists, research stated, “Novel methodsare studied to impro ve the performance of our previous mesh optimization approach for the stabilityimprovement of unstructured -mesh finite -volume simulations. The residual vecto r as well as solutionmodes from Principal Component Analysis of solution vector s is analyzed for this purpose.”

    Research from Polytechnic University Milan Provides New Study Findings on Machin e Learning (Combining wavelet-enhanced feature selection and deep learning techn iques for multi-step forecasting of urban water demand)

    85-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Milano, Italy, by NewsRx correspondents, research stated, “Urban water demand(UWD) for ecasting is essential for water supply network optimization and management, both in business-asusualscenarios, as well as under external climate and socio-eco nomic stressors. Different machine learningand deep learning (DL) models have s hown promising forecasting skills in various areas of application.”