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    New Findings on Robotics from Purdue University Summarized (Toward a Framework f or Trust Building Between Humans and Robots In the Construction Industry: a Syst ematic Review of Current Research and Future Directions)

    28-29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 West Lafayette, Indiana, by Ne wsRx correspondents, research stated, “With the construction sectorprimed to in corporate such advanced technologies as artificial intelligence (AI), robots, an d machines,these advanced tools will require a deep understanding of human-robo t trust dynamics to support safetyand productivity. Although other disciplines have broadly investigated human trust-building with robots,the discussion withi n the construction domain is still nascent, raising concerns because constructio nworkers are increasingly expected to work alongside robots or cobots, and to c ommunicate and interactwith drones.”

    First Affiliated Hospital of Zhengzhou University Reports Findings in Bladder Ca ncer (Machine-learning prediction of a novel diagnostic model using mitochondria -related genes for patients with bladder cancer)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Bladder Can cer is the subject of a report. Accordingto news originating from Zhengzhou, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Bladder ca ncer (BC) is the ninth most-common cancer worldwide and it is associated with hi ghmorbidity and mortality. Mitochondrial Dysfunction is involved in the progres sion of BC.”

    Studies from University of Padua Update Current Data on Artificial Intelligence (An Operational Framework for Guiding Human Evaluation In Explainable and Trustw orthy Artificial Intelligence)

    30-31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 to newsreporting originating from Pad ua, Italy, by NewsRx correspondents, research stated, “The assessment ofexplana tions by humans presents a significant challenge within the context of explainab le and trustworthyartificial intelligence. This is attributed not only to the a bsence of universal metrics and standardizedevaluation methods but also to the complexities tied to devising user studies that assess the perceivedhuman compr ehensibility of these explanations.”

    Data on Machine Learning Detailed by Researchers at Queen Mary University of Lon don (The Mind In the Machine: Estimating Mind Perception’s Effect On User Satisf action With Voice-based Conversational Agents)

    31-32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 reportingoriginating from London, United Ki ngdom, by NewsRx correspondents, research stated, “Given the interestin imbuing voice -based conversational agents with humanlike features, understanding how t his affectsuser satisfaction is ultimately important for business performance. Mind perception theory explains howascribing the mental capacity for agency and experience to artificial intelligence shapes subsequent userattitudes.”

    Data on COVID-19 Reported by Zejie Zhang and Colleagues (Construction and valida tion of machine learning algorithm for predicting depression among home-quaranti ned individuals during the largescale COVID-19 outbreak: based on Adaboost model)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Coronavirus - COVID-19 is the sub ject of a report. According to news reportingout of Wenzhou, People’s Republic of China, by NewsRx editors, research stated, “COVID-19 epidemicsoften lead to elevated levels of depression. To accurately identify and predict depression lev els in homequarantinedindividuals during a COVID-19 epidemic, this study const ructed a depression prediction modelbased on multiple machine learning algorith ms and validated its effectiveness.”

    Research Results from Purdue University Update Understanding of Machine Learning (A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions)

    33-34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 new report. According to newsoriginating from West Lafaye tte, Indiana, by NewsRx editors, the research stated, “Detecting anomalies inhu man activities is increasingly crucial today, particularly in nuclear family set tings, where there may notbe constant monitoring of individuals’ health, especi ally the elderly, during critical periods. Early anomalydetection can prevent f rom attack scenarios and life-threatening situations.”

    University of Guelph Reports Findings in Machine Learning (Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning)

    34-35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 from Guelph, Cana da, by NewsRx correspondents, research stated, “Thoracic radiographsare an esse ntial diagnostic tool in companion animal medicine and are frequently used as a part ofroutine workups in patients presenting for coughing, respiratory distres s, cardiovascular diseases, and forstaging of neoplasia. Quality control is a c ritical aspect of radiology practice in preventing misdiagnosisand ensuring con sistent, accurate, and reliable diagnostic imaging.”

    Research from University of Calabria Yields New Study Findings on Support Vector Machines (An Overview on the Advancements of Support Vector Machine Models in H ealthcare Applications: A Review)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on are discussed in a new report. According to news reportingoriginating from Rende, Italy, by News Rx correspondents, research stated, “Support vector machines(SVMs) are well-kno wn machine learning algorithms for classification and regression applications.”

    Recent Studies from CIAD Add New Data to Robotics and Automation (Dual-hemispher ical Photometric Visual Servoing)

    36-36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 Robotic s - Robotics and Automation. According tonews reporting out of Belfort, France, by NewsRx editors, research stated, “It is well established that widefield of view cameras, as well as using the whole photometric information contained in im ages, offer manyadvantages for visual servoing. Therefore, we propose to extend the photometric visual servoing to fullspherical cameras.”

    Studies from University of California Los Angeles (UCLA) Further Understanding o f Machine Learning (Unveiling the effect of composition on nuclear waste immobil ization glasses’ durability by nonparametric machine learning)

    37-37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 artificial intell igence have been published. According to newsreporting from the University of C alifornia Los Angeles (UCLA) by NewsRx journalists, research stated,“Ensuring t he long-term chemical durability of glasses is critical for nuclear waste immobi lization operations.”