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    Investigators at Umea University Detail Findings in Machine Learning (Forest Own ers’ Perceptions of Machine Learning: Insights From Swedish Forestry)

    97-98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 Machine Learning. According to news reporting outof Umea, Sweden, by NewsRx editors, r esearch stated, “Machine learning is becoming increasingly importantin environm ental decision-making, particularly in forestry. While forest-owner typologies h elpin understanding private forest management strategies, they often overlook o wners’ relationships withtechnology.”

    Researchers from Beijing Jiaotong University Discuss Findings in Machine Learnin g (Machine Learning and Feature Engineeringbased Anode Potential Estimation Met hod for Lithium-ion Batteries With Application)

    98-99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 Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Anode potentialis a direct characterization parameter for lithium plating, and the real-time and accurate a node potentialestimation is crucial for the safe and stable operation of lithiu m-ion batteries. An ideal method forestimating anode potential should possess c haracteristics, such as real-time capability, non-destructiveness,high accuracy , and strong adaptability to varying operating conditions.”

    Reports Outline Intelligent Systems Study Results from Xinjiang University (Corr elation-guided decoding strategy for low-resource Uyghur scene text recognition)

    99-100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 intelli gent systems. According to news reporting fromXinjiang University by NewsRx jou rnalists, research stated, “Currently, most state-of-the-art scene textrecognit ion methods are based on the Transformer architecture and rely on pre-trained la rge languagemodels. However, these pre-trained models are primarily designed fo r resource-rich languages and exhibitlimitations when applied to low-resource l anguages.”

    First Affiliated Hospital of Anhui Medical University Reports Findings in Person alized Medicine (Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapy)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news reporting or iginating in Hefei, People’s Republic of China, by NewsRx journalists,research stated, “To explore the role of radiomics in predicting the prognosis of proxima l esophagealcancer and to investigate the biological underpinning of radiomics in identifying different prognoses. Atotal of 170 patients with pathologically and endoscopically confirmed proximal esophageal cancer fromtwo centers were en rolled.”

    Reports Summarize Robotics Study Results from University of Pisa (Usability of a Robot Avatar Designed for the Real World: the Alter-ego X Case Study)

    101-102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 Ro botics. According to news reporting originatingin Pisa, Italy, by NewsRx journa lists, research stated, “The interest in remotely operable robotic platforms(Av atars) for use in dangerous, domestic, and service environments is now more than ever growing. Thewidespread adoption of these technologies must inevitably inv olve a development process that puts usersat the center of technological advanc ement, both from the perspective of those operating the system andthose interac ting with the system itself.”

    University of Guadalajara Reports Findings in Artificial Intelligence (Artificia l intelligence in human reproduction)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Jalisco, Mexico , by NewsRx editors, research stated, “The use of artificial intelligence (AI)i n human reproduction is a rapidly evolving field with both exciting possibilitie s and ethical considerations.This technology has the potential to improve succe ss rates and reduce the emotional and financial burdenof infertility.”

    Study Data from Honda Research Institute USA Inc. Provide New Insights into Robo tics (Modeling interpersonal perception in dyadic interactions: towards robot-as sisted social mediation in the real world)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on robotics have bee n published. According to news reportingoriginating from San Jose, California, by NewsRx correspondents, research stated, “Social mediator robotshave shown po tential in facilitating human interactions by improving communication, fostering relationships,providing support, and promoting inclusivity. However, for these robots to effectively shape humaninteractions, they must understand the intric acies of interpersonal dynamics.”

    Researchers from Xi’an Shiyou University Describe Findings in Artificial Intelli gence (Optimizing Refracturing Models In Tight Oil Reservoirs: an Integrated Wor kflow of Geology and Engineering Based On Seepage-stress Real-time Cross-couplin g ...)

    104-105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 Xi’an, People’s Republ ic of China, by NewsRx correspondents, research stated, “Integrated modelingof refracturing is a comprehensive and complex task for engineers involved in field development, especiallyin previously developed mature fields. The modeling pro cess requires consideration of numerous factorsto accurately predict fracture p ropagation patterns during refracturing and production.”

    Shanghai Ocean University Reports Findings in Xenografts (Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-sma ll cell lung cancer growth)

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Biotechnology - Xenogr afts is the subject of a report. Accordingto news reporting originating in Shan ghai, People’s Republic of China, by NewsRx journalists, researchstated, “Epide rmal growth factor receptor (EGFR) T790M mutation often occurs during long durational erlotinib treatment of non-small cell lung cancer (NSCLC) patients, leadin g to drug resistance anddisease progression. Identification of new selective EG FR-T790M inhibitors has proven challenging throughtraditional screening platfor ms.”

    University of Rhode Island Reports Findings in Machine Learning (Integrating Dat a Imputation and Augmentation With Interpretable Machine Learning for Efficient Strength Prediction of Fly Ash-based Alkali-activated Concretes)

    106-107页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Kingston, R hode Island, by NewsRx correspondents, research stated, “Flyash-based alkali-ac tivated concrete (AAC) is renowned for its superior mechanical performance and sustainability, presenting an attractive alternative to traditional Portland ceme nt concrete. Despite theseadvantages, the broad compositional range of AACs pre sents challenges in precisely tailoring materialproperties.”