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

    New Machine Learning Findings Reported from Jamia Millia Islamia (Monitoring Dyn amics of Urban Expansion Using Time Series Landsat Imageries and Machine Learnin g In Delhi Ncr)

    96-96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 out of New Delhi, India, by NewsRx e ditors, research stated, “In recent decades, cities in developing countries have experienced rapid and unregulated urban expansion. Hence, this study is designe d to examine the built-up growth in Delhi NCR using optimized machine learning ( ML) techniques and Landsat datasets.”

    Data on Oesophagectomy Reported by Werner Kneist and Colleagues [Robot-assisted oesophagectomy (Ivor-Lewis) for a complex stenosis previously man aged by open gastrostomy tube placement]

    97-97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 Surgery - Oesophagecto my is the subject of a report. According to news reporting originating in Eisena ch, Germany, by NewsRx editors, the research stated, “A man in his late 50s pres ented with severe dysphagia caused by a complex refractory benign stenosis that was completely obstructing the middle oesophagus. The patient was unsatisfied wi th the gastrostomy tube placed via laparotomy as a long-term solution.”

    Study Data from SRM Institute of Science and Technology Update Knowledge of Robo tics (Simplified Model To Study the Kinematics of Manipulators With Parallelogra m Linkages)

    97-98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 Robotics have been published. According to news originating from Kattankulathur, India, by Ne wsRx correspondents, research stated, “PurposeParallelogram linkages are used to increase the stiffness of manipulators and allow precise control of end-effecto rs. They help maintain the orientation of connected links when the manipulator c hanges its position.”

    Studies from De La Salle University Yield New Information about Machine Learning (Probing Polymorph Binding Preference of Caco3 Biomineralization Peptides Throu gh Machine Learning)

    98-99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 from Manila, Philippines, by NewsRx journalists, research stated, “An exploratory machine learning (ML) classificati on model that seeks to examine CaCO3 polymorph selection is presented. The ML mo del can distinguish if a given peptide sequence binds with calcite or aragonite, polymorphs of CaCO3.”

    Fujian Medical University Union Hospital Reports Findings in Rectal Cancer (Robo tic intersphincteric resection for low rectal cancer: a cumulative sum analysis for the learning curve)

    99-100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 - Rectal Canc er is the subject of a report. According to news reporting from Fujian, People’s Republic of China, by NewsRx journalists, research stated, “This study aimed to assess the learning curve of robot-assisted intersphincteric resection for low rectal cancer. We retrospectively analyzed the clinical data of 89 patients who underwent robot-assisted intersphincteric resection.”

    Research from National Taiwan University Provide New Insights into Robotics (Com prehensive Performance Evaluation between Visual SLAM and LiDAR SLAM for Mobile Robots: Theories and Experiments)

    100-101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 robotics have been published. According to news originating from Taipei, Taiwan, by NewsRx ed itors, the research stated, “SLAM (Simultaneous Localization and Mapping), prima rily relying on camera or LiDAR (Light Detection and Ranging) sensors, plays a c rucial role in robotics for localization and environmental reconstruction. This paper assesses the performance of two leading methods, namely ORB-SLAM3 and SC-L eGO-LOAM, focusing on localization and mapping in both indoor and outdoor enviro nments.”

    Affiliated Hospital of Chengde Medical University Reports Findings in Machine Le arning (High-performance grating-like SERS substrate based on machine learning for ultrasensitive detection of Zexie-Baizhu decoction)

    101-102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 th e subject of a report. According to news reporting from Hebei, People’s Republic of China, by NewsRx journalists, research stated, “Rapid, universal and accurat e identification of chemical composition changes in multi-component traditional Chinese medicine (TCM) decoction is a necessary condition for elucidating the ef fectiveness and mechanism of pharmacodynamic substances in TCM. In this paper, S ERS technology, combined with grating-like SERS substrate and machine learning m ethod, was used to establish an efficient and sensitive method for the detection of TCM decoction.”

    Institute of Structural Biology Reports Findings in Machine Learning (MISATO: ma chine learning dataset of protein-ligand complexes for structure-based drug disc overy)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Neuherberg, Germany, by NewsRx co rrespondents, research stated, “Large language models have greatly enhanced our ability to understand biology and chemistry, yet robust methods for structure-ba sed drug discovery, quantum chemistry and structural biology are still sparse. P recise biomolecule-ligand interaction datasets are urgently needed for large lan guage models.”

    Patent Issued for System and method of automated determination of use of sensiti ve information and corrective action for improper use (USPTO 11972017)

    103-106页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “In almost any situation where a customer/consum er provides sensitive personal information to a clerk/agent either in person or through the use of technology (over a customer engagement center (CEC) system, t here is a concern that the clerk, agent, or customer service representative (col lectively CSRs) could be purposefully or inadvertently using that sensitive pers onal information improperly or incorrectly. Further, international laws and indu stry standards such as HIPPA, PCI, UK Data Protection Act, European GDPR define restrictions on the use of personal data, restrictions on transferring it betwee n countries, define rights of users to see what data is held, and even defines t he right to be forgotten. Accordingly, it is important for companies and busines ses to control and restrict where sensitive personal information is input into a system, who can put sensitive data into the system, where that sensitive data c an be input into the system, how that sensitive personal information is accessed and used, and who has access to the information.

    Patent Issued for Detecting robot grasp of very thin object or feature (USPTO 11 969880)

    106-109页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “A robotic system may be tasked with moving one or more ite ms from a first location to a second location. The robotic system selects to mov e one of the one or more items. The robotic system uses a robotic arm end effect or to grasp the selected item. However, depending on the size or shape of the se lected item, it may be difficult to determine whether the robotic arm end effect or actually grasped the selected item. It can be difficult, in particular, to di stinguish between a missed grasp and a successful grasp of a very thin item or f eature, since finger position relative to each other may be only slightly different.”