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    Study Results from Chinese Academy of Sciences Broaden Understanding of Machine Learning (Study On Microwave Ablation Temperature Prediction Model Based On Gray scale Ultrasound Texture and Machine Learning)

    58-59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 originating from Suzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation.Methods Experiments were conducted on 83 fresh ex vivo porcine liver tissues at two ablation powers of 15 W and 20 W. Ultrasound grayscale images and temperature data from multiple sampling points were collected. The machine learning method of random forests was used to train the selected texture features, obtaining temperature prediction models for sampling points and the entire ultrasound imaging area.”

    New Machine Learning Findings Reported from School of Electrical Engineering (A Machine Learning Based Electronic Property Predictor of Cu 2 Sns 3 Thin Film Syn thesized By Ultrasonic Spray Pyrolysis)

    59-60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 Chennai, India, by NewsRx journalists, research stated, “Copper tin sulphide (CTS) is an important material used as an absorber layer for low cost solar cells. Variation of the elem ental constituents of CTS and the substrate temperature cause a significant alte ration in its electronic property, which may cause unpredictable change in the device efficiency.”

    New Machine Learning Study Results Reported from Russian Academy of Sciences (Construction of Machine Learning Interatomic Potentials for Metals)

    60-60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 Machine Learning have been published. According to news reporting originating from Ufa, Russia, by NewsRx correspondents, research stated, “Molecular dynamics (MD) is a powerful tool for modeling the phase and structural transformations and the evolutio n of defects and their influence on the metallic material properties. The accuracy of MD modeling directly depends on the quality of interatomic potentials.”

    First Affiliated Hospital of Jinan University Reports Findings in Acute Myeloid Leukemia (Single-cell dissection reveals promotive role of ENO1 in leukemia stem cell self-renewal and chemoresistance in acute myeloid leukemia)

    61-62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 - Acute Myelo id Leukemia is the subject of a report. According to news reporting from Guangzh ou, People’s Republic of China, by NewsRx journalists, research stated, “Quiesce nt self-renewal of leukemia stem cells (LSCs) and resistance to conventional che motherapy are the main factors leading to relapse of acute myeloid leukemia (AML ). Alpha-enolase (ENO1), a key glycolytic enzyme, has been shown to regulate emb ryonic stem cell differentiation and promote self-renewal and malignant phenotypes in various cancer stem cells.”

    Researchers from Harbin Institute of Technology Report New Studies and Findings in the Area of Robotics (Robotic Grasping Method With 6d Pose Estimation and Point Cloud Fusion)

    62-62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 subject of a report. According to news reporting originating in Harbin, People’s Republic of China, by NewsRx journalists, research stated, “With the advancement of robotics technology, industrial automation has become a trend in many scenarios. In fields such as warehousing logistics and service robotics, a reliable method for estimating the grasp pose of objects has become a necessary task.”

    Hangzhou Medical College Reports Findings in Fibromyalgia (Identification of tex ture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models)

    63-63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 Musculoskeletal Diseases and Conditions - Fibromyalgia is the subject of a report. According to news originating from Zhejiang, People’s Republic of China, by NewsRx correspondents, research stated, “To provide objective diagnostic markers for fibromyalgia symptoms (FMS) diagnosis, we have created interpretable extreme gradient boosting (XG Boost) models using radiomics to aid in the diagnosis of chronic pain (CP) and t o develop nomogram models for diagnosing subgroups of FMS. A group of 54 patient s with CP and 71 healthy controls was randomly separated into training and valid ation groups, using a 7:3 ratio.”

    Studies in the Area of Machine Learning Reported from University of Technology ( One-step Vs Horizon-step Training Strategies for Multi-step Traffic Flow Forecas ting With Direct Particle Swarm Optimization Grid Search Support Vector Regression ...)

    64-65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 from Kuala Lumpur, Malaysia, by NewsRx correspondents, research stated, “In the increasingly complex urb an transportation landscape, the necessity for accurate, multi-step forecasting has never been more apparent to help plan for long-term, strategic transportation initiatives like Intelligent Transportation Systems. This work focuses on resolving uncertainties around the proper training step size for machine learning models performing multi-step traffic flow forecasting.”

    Research on Robotics Discussed by a Researcher at Amar Telidji University (Robust Adaptive Sliding Mode Control Using Stochastic Gradient Descent for Robot Arm Manipulator Trajectory Tracking)

    65-65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 robotics. According to news reporting from Laghouat, Algeria, by NewsRx journalist s, research stated, “This paper presents an innovative control strategy for robot arm manipulators, utilizing an adaptive sliding mode control with stochastic g radient descent (ASMCSGD).”

    Saint Petersburg State University Reports Findings in Machine Learning (Digital color analysis and machine learning for ballpoint pen ink clustering and aging investigation)

    66-66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 the subject of a report. According to news reporting originating from St. Petersburg, Russia, by NewsRx correspondents, research stated, “Fraudulent activities of ten involve document manipulation, which poses a significant challenge to forensic science. To address this issue, a novel method was developed that combines intended artificial UV pre-degradation, digital color analysis (DCA) of stroke images, and various machine learning (ML) models.”

    Study Data from Delft University of Technology Update Understanding of Robotics (Perspectives On Intelligence In Soft Robotics)

    66-67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 Robotic s. According to news reporting originating from Delft, Netherlands, by NewsRx co rrespondents, research stated, “Engineers frequently aim to streamline environme ntal factors to facilitate the effective operation of robots. However, in nature , environmental considerations play a crucial role in shaping the embodiment of organisms.”