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    New Machine Learning Study Results from University of Calgary Described (Modelin g of Methane and Carbon Dioxide Sorption Capacity In Tight Reservoirs Using Mach ine Learning Techniques)

    103-104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 Machine Learning are discussed in a new report. According to news reporting originating in Calgar y, Canada, by NewsRx journalists, research stated, “The viability of enhanced co albed methane recovery (ECBM) and enhanced shale gas recovery (ESGR) are abundan tly explored in various studies since they present a solution for ongoing energy demand and environ-mental crisis. As a matter of challenge, the prediction of t he gas sorption profile poses a significant obstacle in the development of such resources.”

    Study Findings from China Agricultural University Broaden Understanding of Agric ultural Robots (Lacta: a Lightweight and Accurate Algorithm for Cherry Tomato De tection In Unstructured Environments)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Agriculture - Agricultural Robots. According to news originating from Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Developing cherry toma to detection algorithms for selective harvesting robots faces many challenges du e to the influence of various environmental factors such as lighting, water mist , overlap, and occlusion. To this end, we present LACTA, a lightweight and accur ate cherry tomato detection algorithm specifically designed for harvesting robot operation in complex environments.”

    New Machine Learning Study Results Reported from Tongji University (Decoding Urb an Mobility: Application of Natural Language Processing and Machine Learning To Activity Pattern Recognition, Prediction, and Temporal Transferability Examinati on)

    105-106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 in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “Activity patterns prov ide valuable insights into activity-based travel demand modeling and understandi ng human mobility. However, challenges often arise in accurately recognizing act ivity patterns, predicting activity patterns, and ensuring the temporal transfer ability of these prediction models.”

    State Key Laboratory of NBC Protection for Civilian Researchers Update Knowledge of Robotics (Design and obstacle-crossing analysis of a four-link rocker-suspen sion planetary exploration robot)

    106-107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 robotics have bee n published. According to news reporting from Beijing, People’s Republic of Chin a, by NewsRx journalists, research stated, “At present, there are still many met eorite craters and boulders on the surface of Mars and the Moon that cannot be a ccessed by existing planetary exploration robots.” Financial supporters for this research include National Natural Science Foundati on of China.

    Yunnan University Researchers Further Understanding of Intelligent Systems (Adap tive differential evolution with fitness-based crossover rate for global numeric al optimization)

    107-108页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in intelligent system s. According to news originating from Yunnan University by NewsRx correspondents , research stated, “Differential evolution (DE) is one of the most efficient evo lution algorithms (ES) for dealing with nonlinear, complicated and difficult glo bal optimization problems. The main contribution of this paper can be summarized in three directions: Firstly, a novel crossover rate (CR) generation scheme bas ed on the zscore value of fitness, named fcr, is introduced.” Funders for this research include National Natural Science Foundation of China; Applied Basic Research Key Project of Yunnan.

    Researchers from Metropolitan State University of Denver Provide Details of New Studies and Findings in the Area of Machine Learning (Machine-learning-based Sho rt-term Forecasting of Daily Precipitation In Different Climate Regions Across t he ...)

    108-109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 originating from Denver, Colorado, by N ewsRx correspondents, research stated, “Forecasting the precipitation is needed for water resources management and planning, irrigation scheduling and flood mod eling. The purpose of this research is to obtain short-term forecasts of the dai ly precipitation (1-, 2-, and 3-day-ahead) at 28 sites located in various climat e regions over the contiguous United States.” Financial support for this research came from United States Department of Agricu lture (USDA) Natural Resources Conservation Service (NRCS).

    Max-Planck-Institute for Biochemistry Reports Findings in Synthetic Biology (Mac hine learning-aided design and screening of an emergent protein function in synt hetic cells)

    109-110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 Biotechnology - Synthe tic Biology is the subject of a report. According to news reporting originating in Martinsried, Germany, by NewsRx journalists, research stated, “Recently, util ization of Machine Learning (ML) has led to astonishing progress in computationa l protein design, bringing into reach the targeted engineering of proteins for i ndustrial and biomedical applications. However, the design of proteins for emerg ent functions of core relevance to cells, such as the ability to spatiotemporall y self-organize and thereby structure the cellular space, is still extremely cha llenging.”

    Reports Outline Machine Learning Study Results from Guangxi University (Biased S tochastic Conjugate Gradient Algorithm With Adaptive Step Size for Nonconvex Pro blems)

    110-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news reporting from Guangxi, People’s Republic of China, by Ne wsRx journalists, research stated, “Conjugate gradient (CG) algorithms are widel y applied to machine learning problems owing to their low calculation cost compa red with second-order methods and better convergence properties relative to grad ient descent methods. This study proposes a biased stochastic conjugate gradient (BSCG) algorithm with an adaptive step size.”

    Institute of Physics Researchers Describe Findings in Machine Learning (Invarian t mass reconstruction of heavy gauge bosons decaying to $$ \tau $$ t leptons using mac hine learning techniques)

    111-111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 artificial intelligen ce have been presented. According to news originating from the Institute of Phys ics by NewsRx editors, the research stated, “Many analyses are performed by the LHC experiments to search for heavy gauge bosons, which appear in several new ph ysics models.”

    Findings from Indian Institute of Engineering Science & Technology Update Understanding of Machine Learning (A Survey and Comparative Study On Neg ative Sentiment Analysis In Social Media Data)

    112-112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 Machine Learning. According to news reporting originating in West Bengal, India, by New sRx journalists, research stated, “With the rapid growth of internet usage, espe cially on social media, forums, review platforms, and blogs, an enormous amount of data is being generated. This data often contains users’ opinions, emotions, and arguments on various topics.”