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    Findings from University of Science and Technology Beijing Yields New Findings on Robotics (Locomotion Gait Control of Snake Robots Based On a Novel Unified Cpg Network Model Composed of Hopf Oscillators)

    67-68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 originating fromBeijing, People’s Republic of China , by NewsRx correspondents, research stated, “Snake robots withlimbless structu re and rich locomotion gaits have been designed and built for wide application i n variousfields including military reconnaissance, pipeline operation, disaster search and rescue, etc. However, theproblem how to flexibly and smoothly contr ol switch and change of different locomotion gaits is still facingenormous chal lenges.”

    Findings from Nirma University Provides New Data on Machine Learning (Air Quality Prediction System Using Machine Learning Models)

    68-69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 reportingoriginating from Gujarat, India, by News Rx editors, the research stated, “The air quality index has asevere effect on t he determination of health conditions of a city. The prediction of air quality i ndex canaid in determining the optimum route in case of traffic and it can also aid in determining the pollutantswhich have severe impact on human health cond itions.”

    Data from University of Florida Advance Knowledge in Machine Learning (Simulating Soil Hydrologic Dynamics Using Crop Growth and Machine Learning Models)

    69-70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 originatingfrom Homestead, Florida, by NewsRx correspondents, research stated, “Accurate measurement of cropevapotranspirati on (ETc) and soil moisture content (SMC) is critical for different purposes, inc ludingdeveloping irrigation scheduling practices that improve water use efficie ncy and crop yield. The objectivesof this study were to 1) simulate daily ETc a nd SMC of green beans and sweet corn under full irrigationand three deficit irr igation rates using the Decision Support System for Agrotechnology Transfer (DSSAT) CROPGRO-Green bean and CERES-Sweet corn models and 2) evaluate the performan ce of threemachine learning models for simulating ETc of green beans and sweet corn.”

    Studies from Xiamen University of Technology in the Area of Intelligent Systems Described (Repmono: a Lightweight Self-supervised Monocular Depth Estimation Arc hitecture for High-speed Inference)

    70-71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 - Int elligent Systems is the subject of a report. Accordingto news reporting origina ting from Fujian, People’s Republic of China, by NewsRx correspondents,research stated, “Self-supervised monocular depth estimation has always attracted attent ion because itdoes not require ground truth data. Designing a lightweight archi tecture capable of fast inference is crucialfor deployment on mobile devices.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Mas sey University (The Potential of Deep Learning To Counter the Matrix Effect for Assessment of Honey Quality and Monoflorality)

    70-71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 originatingfrom Palmerston, New Zealand, by NewsRx correspondents, research stated, “The complexity of biologicalmatrices a ffects Near-infrared (NIR) signals. Honey, a complex food matrix, changes in che mical andphysical properties over time indicating strong matrix effects when ca pturing NIR spectra.”Financial support for this research came from New Zealand Ministry of Business, Innovation and Employment(MBIE).

    New Findings from Georgia Institute of Technology Describe Advances in Neural Computation (Learning Internal Representations of 3D Transformations From 2D Proje cted Inputs)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on neural computation is the subject of a new report. According to newsreporting originating from the Ge orgia Institute of Technology by NewsRx correspondents, research stated,“We des cribe a computational model for inferring 3D structure from the motion of projec ted 2D pointsin an image, with the aim of understanding how biological vision s ystems learn and internally represent3D transformations from the statistics of their input.”

    Data on Robotics Detailed by Researchers at Chinese Academy of Sciences (Soft Ma nta Ray Robot Based On Bilateral Bionic Muscle Actuator)

    73-74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 Shenyang, People’s Republ ic of China, by NewsRx correspondents, research stated, “The pectoralfins of ma nta rays are driven by bilateral muscles to generate up-down flapping movements that allow forefficient and flexible swimming. However, current soft underwater biomimetic flapping robots are mostlydriven by unilateral muscle actuators, an d the pectoral fin can only realize simple downward bendingmotion, the biomimic ry, motion flexibility, and swimming speed of these robots need to be further enhanced.”

    Studies from Yunnan Agricultural University Describe New Findings in Machine Lea rning (LIME-Mine: Explainable Machine Learning for User Behavior Analysis in IoT Applications)

    74-75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 ar tificial intelligence. According to news originatingfrom Kunming, People’s Repu blic of China, by NewsRx correspondents, research stated, “In Internet ofThings (IoT) applications, user behavior is influenced by factors such as network stru cture, user activity,and location.”

    New Findings from Taiyuan University of Technology in the Area of Machine Learni ng Reported (Machine-learning-assisted N-ganau/pani Gas Sensor Array for Intell igent and Ultra-accurate Ammonia Recognition)

    75-76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 reportingout of Taiyuan, People’s Republic of Chi na, by NewsRx editors, research stated, “Gallium nitride (GaN)based gas sensors have attracted considerable attention owing to their excellent physical and che micalproperties, and especially mature and controllable metal -organic chemical vapor deposition (MOCVD)synthesis process. However, the practical applications of GaN-based gas sensors are constrained by thehigh detection limit and poor s electivity in the case of multiple types of gases.”

    Poznan University of Technology Reports Findings in Machine Learning (Machine le arning and natural language processing in clinical trial eligibility criteria pa rsing: a scoping review)

    76-76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 Poznan, Poland, by New sRx editors, research stated, “Automatic eligibility criteria parsingin clinica l trials is crucial for cohort recruitment leading to data validity and trial co mpletion. Recent yearshave witnessed an explosion of powerful machine learning (ML) and natural language processing (NLP)models that can streamline the patien t accrual process.”