首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    East China Normal University Reports Findings in Cancer (Genetic association of tertiary lymphoid structure-related gene signatures with HCC based on Mendelian randomization and machine learning and construction of prognosis model)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reporting fromShanghai, People’s Republic of Chi na, by NewsRx journalists, research stated, “Tertiary lymphoid structures(TLS) are formed in numerous cancer types. However, their value and significance in he patocellularcarcinoma (HCC) is unclear.”

    Herdecke University Reports Findings in Machine Learning (Predictors of weaning failure in ventilated intensive care patients: a systematic evidence map)

    20-21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 Witten, Germany, by Ne wsRx editors, research stated, “Ventilator weaning is of greatimportance for in tensive care patients in order to avoid complications caused by prolonged ventil ation.However, not all patients succeed in weaning immediately.”

    Studies Conducted at Wuhan University on Artificial Intelligence Recently Report ed (Identifying Artificial Intelligence-generated Content In Online Q& a Communities Through Interpretable Machine Learning)

    21-22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 reportingoriginating in Wuhan, People’ s Republic of China, by NewsRx journalists, research stated, “This studyaims to construct a comprehensive feature system for identifying artificial intelligenc e-generated content(AIGC) in online Q&A communities, thus uncoveri ng the key factors and mechanisms influencing theidentification of AIGC. First, based on the theory of systemic functional linguistics (SFL) and information qu ality (IQ), this article extracts vocabulary, content, structure, and emotional features from the text, andidentifies the AIGC through nine mainstream machine learning algorithms.”

    Army Medical University Reports Findings in Thymectomy (Longterm outcomes of ro bot versus video-assisted thymectomy for thymic epithelial tumors: a propensity matched analysis)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Thymectomy i s the subject of a report. According to newsreporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Robotassistedthora coscopic surgery (RATS) thymectomy has been increasingly performed for treating thymicepithelial tumors in recent years. However, there are very limited report s on the long-term oncologicoutcomes after RATS thymectomy, particularly in com parison to Video-assisted thoracoscopic surgery(VATS).”

    New Machine Learning Findings Reported from Chinese Academy of Sciences (Supervi sed-learning Guarantee for Quantum Adaboost)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news originating from Beijing,People’s Republic of China, by NewsR x correspondents, research stated, “In the noisy intermediate-scalequantum (NIS Q) era, the capabilities of variational quantum algorithms are greatly constrain ed due toa limited number of qubits and the shallow depth of quantum circuits. We may view these variationalquantum algorithms as weak learners in supervised learning.”

    Studies from Wuhan Textile University Yield New Information about Machine Learni ng (Comparative Study of Machine Learning Method and Response Surface Methodolog y In Bga Solder Joint Parameter Optimization)

    24-25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 reportingoriginating from Wuhan, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Ballgrid array (BGA ) package is prone to failure issues in a thermal vibration-coupled environment, suchas deformation and fracture of solder joints. To predict the minimum equiv alent stress of solder jointsmore accurately and optimize the solder joint stru cture, this paper aims to compare the machine learningmethod with response surf ace methodology (RSM).”

    Department of Surgical Oncology Reports Findings in Rectal Cancer (Safety and fe asibility of robotic surgery in geriatric patients with rectal cancer)

    25-26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 - Rectal Canc er is the subject of a report. Accordingto news reporting originating from Ista nbul, Turkey, by NewsRx correspondents, research stated, “Theincidence of recta l cancer is increasing in the elderly population, yet the safety of surgical int erventionsin this group, particularly robotic surgery, is still debated. This s tudy aims to investigate the safety andshort-term postoperative outcomes of rob otic surgery in geriatric patients (aged 70 years) with rectalcancer.”

    New Data from Zhejiang University of Technology Illuminate Findings in Robotics (Tvie-based Fault-tolerant Model Predictive Control for Trajectory Tracking of M obile Robot)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news originatingfrom Hangzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “This paperinvestigates the trajectory tracking control issue for a linear parameter-varying (LPV) system o f a wheeledmobile robot (WMR) with actuator fault and constraints, where a time -varying intermediate estimator(TVIE)-based fault-tolerant model predictive con trol (MPC) method is proposed. To obtain the real systemwith actuator fault, ba sed on the existing traditional IE, an optimized objective function is designed toupdate its observer gain online, which results in a TVIE.”

    Studies from Washington University St. Louis Have Provided New Information about Machine Learning (Access-redundancy Tradeoffs In Quantized Linear Computations)

    27-28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 originatingfrom St. Louis, Missouri, by New sRx correspondents, research stated, “Linear real-valued computationsover distr ibuted datasets are common in many applications, most notably as part of machine learninginference. In particular, linear computations that are quantized, i.e. , where the coefficients are restrictedto a predetermined set of values (such a s +/- 1), have gained increasing interest lately due to their rolein efficient, robust, or private machine learning models.”

    Recent Findings from University of Moratuwa Provides New Insights into Machine L earning (Machine Learning Techniques for Predictive Modelling and Uncertainty Qu antification of the Mechanical Properties of Woven Carbon Fibre Composites)

    28-29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 fromMoratuwa, Sri Lanka, by NewsRx journ alists, research stated, “Carbon fibre composites owe their exceptionalmechanic al properties to the characteristics of their constituents; fibres and resin. Ho wever,uncertainty in these individual constituent properties can introduce sign ificant variations in the macroscalemechanical performance of composites.”