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    Researchers from Faculty of Sciences and Technology Report Findings in Machine L earning (Fine-tuning Inflow Prediction Models:@@@@Integrating Optimization Algorith ms and Trmm Data for EnhancedAccuracy)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news originating from Adrar, Algeria,by NewsRx correspondents, res earch stated, “This research explores machine learning algorithms for reservoirinflow prediction, including long short-term memory (LSTM), random forest (RF), and metaheuristicoptimizedmodels. The impact of feature engineering techniques such as discrete wavelet transform (DWT)and XGBoost feature selection is inves tigated.”

    Study Data from School of Electrical Engineering Provide New Insights into Artif icial Intelligence (Multi-layer Meta-surface Lowprofile@@Antenna Using Artificia l Intelligence for 5g and Optical@@Communications)

    40-41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 Artificial Intelligence. According to news reportingfrom Andhra Pradesh, India, by NewsRx journalists, research stated, “In this article, a low-profile, high-gain meta-surface artificial intelligence process-based broadband microstrip patc h antenna for 5G wirelesscommunications is presented. The FR4 epoxy substrate m aterial, with a dielectric constant of 4.4 and athickness of 1.6, is used for t he antenna to operate at a 20 GHz resonating frequency.”

    Tsinghua University Reports Findings in Machine Learning (Improved remote sensin g reference evapotranspiration estimation using@@simple satellite data and machin e learning)

    41-42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 out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Reference evapotranspiration (ET) estimation is crucial for efficient irrigation planning, optimized water m anagementand ecosystem modeling, yet it presents significant challenges, partic ularly when meteorological dataavailability is limited. This study utilized rem ote sensing data of land surface temperature (LST), day ofyear, and latitude, a nd employed a machine learning approach (i.e., random forest) to develop an improved remote sensing ET model.”

    Shanghai Maritime University Researcher Focuses on Robotics (Disturbance Observe r-Based Adaptive Fault Tolerant Control with Prescribed@@Performance of a Continu um Robot)

    41-41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 robotics. According to news reporting originatingfrom Shanghai, People’s Republ ic of China, by NewsRx correspondents, research stated, “This paperstudies an a daptive fault tolerant control (AFTC) scheme for a continuum robot subjected to unknownactuator faults, dynamics uncertainties, unknown disturbances, and presc ribed performance.”

    Research from University of Kurdistan Yields New Data on Machine Learning (Asses sment of Land Suitability Potential Using Ensemble@@Approaches of Advanced Multi- Criteria Decision Models and@@Machine Learning for Wheat Cultivation

    42-43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 artificial in telligence have been published. According tonews reporting out of Sanandaj, Ira n, by NewsRx editors, research stated, “Land suitability assessment,as an impor tant process in modern agriculture, involves the evaluation of numerous aspects such as soilproperties, climate, relief, hydrology and socio-economic aspects. The aim of this study was to evaluatethe suitability of soils for wheat cultiva tion in the Gavshan region, Iran, as the country is facing the taskof becoming self-sufficient in wheat.”

    Findings from University of Skovde Provide New Insights into Robotics (Balancing Assembly Lines With Industrial and Collaborative@@Robots: Current Trends and Fut ure Research Directions)

    43-44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 Robotics have been published. According to news reportingout of Skovde, Sweden, by NewsRx ed itors, research stated, “Assembly-line balancing is a significant issuein produ ction systems. Employing industrial robots as the main production resource was a milestone indeveloping assembly lines, and emerging Industry 4.0 led industrie s to build collaborative assembly linesby combining robots and human operator s kills.”

    Hamburg University of Technology Reports Findings in Robotics (Needle tracking I n low-resolution ultrasound volumes using deep@@learning)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originatingfrom Hamburg, Germany, by NewsRx co rrespondents, research stated, “Clinical needle insertion into tissue,commonly assisted by 2D ultrasound imaging for real-time navigation, faces the challenge of precise needleand probe alignment to reduce out-of-plane movement. Recent st udies investigate 3D ultrasound imaging together with deep learning to overcome this problem, focusing on acquiring high-resolution images tocreate optimal con ditions for needle tip detection.”

    La Trobe University Researcher Publishes New Studies and Findings in the Area of Machine Learning (Optimizing Speech Emotion@@Recognition with Machine Learning B ased Advanced Audio Cue@@Analysis)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Melbourne, Australia, by News Rx journalists, research stated, “In today’s fast-paced and interconnectedworld , where human-computer interaction is an integral component of daily life, the a bility to recognizeand understand human emotions has emerged as a crucial facet of technological advancement. However,human emotion, a complex interplay of ph ysiological, psychological, and social factors, poses a formidablechallenge eve n for other humans to comprehend accurately.”

    New Findings on Computational Intelligence Described by Investigators at Univers ity of Macau (Comprehensive Multisource Learning@@Network for Cross-subject Multi modal Emotion Recognition)

    47-48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 - Co mputational Intelligence have been presented.According to news reporting from M acao, People’s Republic of China, by NewsRx journalists, researchstated, “Elect roencephalography (EEG) signals and eye movement signals, which represent intern alphysiological responses and external subconscious behaviors, respectively, ha ve been shown to be reliableindicators for recognizing emotions. However, integ rating these two modalities across multiple subjectspresents several challenges : 1) designing a robust consistency metric that balances the consistency and divergences between heterogeneous modalities across multiple subjects; 2) simultane ously considering intramodalityand inter-modality information across multiple subjects; and 3) overcoming individual differencesamong multiple subjects and g enerating subject-invariant representations of the multimodal fused features.”

    Researcher from Tsinghua University Reports Recent Findings in Artificial Intell igence (The Four Most Basic Elements In Machine@@Cognition)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsreporting from Beijing, People’s Repub lic of China, by NewsRx journalists, research stated, “ABSTRACT:The widespread use of ChatGPT has normalized the dialogue Turing test. To meet this challenge, China’smajor national development strategy suggests that for a new generation o f artificial intelligence, it isfirst necessary to answer the big questions rai sed by Turing in 1950 from the perspective of cognitivephysics: Can machines th ink? How do machines think? How do machines cognize? Whether it is carbonbasedhuman cognition or silicon-based machine cognition, it is an interaction between complex constructscomposed of the four most basic elements: matter, energy, st ructure, and time.”