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    Lanzhou University Reports Findings in Liver Cancer (Construction and evaluation of a liver cancer risk prediction model based on machine learning)

    36-37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 Oncology - Liver Cance r is the subject of a report. According to news reporting from Lanzhou, People’s Republic of China, by NewsRx journalists, research stated, “Liver cancer is one of the most prevalent malignant tumors worldwide, and its early detection and t reatment are crucial for enhancing patient survival rates and quality of life. H owever, the early symptoms of liver cancer are often not obvious, resulting in a late-stage diagnosis in many patients, which significantly reduces the effectiv eness of treatment.”

    Faculty of Computer Science Reports Findings in Robotics (Intelligent mobile rob ot navigation in unknown and complex environment using reinforcement learning te chnique)

    37-37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 Robotics is the subjec t of a report. According to news reporting out of Krakow, Poland, by NewsRx edit ors, research stated, “The usage of mobile robots (MRs) has expanded dramaticall y in the last several years across a wide range of industries, including manufac turing, surveillance, healthcare, and warehouse automation. To ensure the effici ent and safe operation of these MRs, it is crucial to design effective control s trategies that can adapt to changing environments.”

    Multimedia University Researcher Publishes New Study Findings on Artificial Inte lligence (Artificial Intelligence-Based Electric Vehicle Smart Charging System i n Malaysia)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Cyb erjaya, Malaysia, by NewsRx correspondents, research stated, “The worldwide tran sition to electric vehicles (EVs) is gaining momentum, propelled by the imperati ve to reduce carbon emissions and foster sustainable transportation. In Malaysia, the government is facilitating this transformation through targeted initiative s aimed at promoting the use of electric vehicles (EVs) and developing the requi red infrastructure.”

    Kent State University Researcher Targets Artificial Intelligence [A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging]

    38-38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 ar tificial intelligence. According to news originating from Kent, Ohio, by NewsRx editors, the research stated, “The combination of medical imaging and deep learn ing has significantly improved diagnostic and prognostic capabilities in the hea lthcare domain.” Funders for this research include Kent State University’s Open Access Apc Suppor t Fund. Our news correspondents obtained a quote from the research from Kent State Unive rsity: “Nevertheless, the inherent complexity of deep learning models poses chal lenges in understanding their decisionmaking processes. Interpretability and vi sualization techniques have emerged as crucial tools to unravel the black-box na ture of these models, providing insights into their inner workings and enhancing trust in their predictions.”

    Researchers at University of Waterloo Target Machine Learning (Development of th e Co2 Adsorption Model On Porous Adsorbent Materials Using Machine Learning Algo rithms)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting from Waterloo, Canada, by NewsRx journalists, research stated, “Porous adsorbents have common characteristics, such as high p orosity and a large specific surface area. These characteristics, attributed to the internal structure of the material, significantly affect their adsorption pe rformance.” Financial support for this research came from Natural Resources Canada.

    New Data from Universita degli Studi della Campania Luigi Vanvitelli Illuminate Research in Robotics (Experimental Comparison of Two 6D Pose Estimation Algorith ms in Robotic Fruit-Picking Tasks)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on robotics are presented in a new rep ort. According to news originating from Aversa, Italy, by NewsRx correspondents, research stated, “This paper presents an experimental comparison between two ex isting methods representative of two categories of 6D pose estimation algorithms nowadays commonly used in the robotics community.” Funders for this research include European Commission; Italian Ministry of Unive rsity And Research.

    Lanzhou University Second Hospital Reports Findings in Colon Cancer (Comparative analysis of safety and effectiveness between natural orifice specimen extractio n and conventional transabdominal specimen extraction in robot-assisted colorect al ...)

    41-42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 Oncology - Colon Cance r is the subject of a report. According to news reporting originating in Lanzhou, People’s Republic of China, by NewsRx journalists, research stated, “The goal of this systematic review and meta-analysis is to evaluate the perioperative and oncologic results of natural orifice specimen extraction (NOSE) compared to con ventional transabdominal specimen extraction (TASE) in robotic-assisted surgery for colorectal cancer. A comprehensive electronic search will be performed on Pu bMed, Embase, and the Cochrane Library to find research articles published from the beginning of the databases to July 2024 that focus on patients who have unde rgone robotic-assisted surgery for colorectal cancer.”

    Tallinn University Researchers Highlight Research in Machine Learning (Perceived gendered self-representation on Tinder using machine learning)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Tallinn Univer sity by NewsRx correspondents, research stated, “This paper explores the gendere d differences between men and women as perceived through the images on the onlin e dating platform Tinder.”

    New Findings on Machine Learning Described by Investigators at McGill University (Placing Machine Learning Into the Hermeneutic Circle: a Combined Computational -interpretive Method for Text Analysis)

    43-44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 Montre al, Canada, by NewsRx journalists, research stated, “Scholars are increasingly t urning to machine learning text analysis (MLTA) to make sense of world politics, but the question of how computational power and interpretive expertise should w ork together remains underexplored. This gap stems from a lack of engagement bet ween those who treat text as data to be computed and those who approach it as la nguage to be interpreted.”

    Data on Artificial Intelligence Reported by a Researcher at Hunan Normal Univers ity (Survey on machine vision-based intelligent water quality monitoring techniq ues in water treatment plant: Fish activity behavior recognition-based schemes a nd ...)

    44-44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 artific ial intelligence. According to news reporting originating from Hunan, People’s R epublic of China, by NewsRx correspondents, research stated, “Water is a vital r esource essential to the survival and development of all creatures. With the rap id growth of industry and agriculture, people face a severe threat of ecological destruction and environmental pollution while living earthly lives.”