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 new report. According to news originating from the U.S. Army Institute of Surgical Research by NewsRx correspondents, research stated, “Medical imaging-b ased triage is a critical tool for emergency medicine in both civilian and milit ary settings.” Funders for this research include U.S. Department of Defense; Oak Ridge Associat ed Universities. The news editors obtained a quote from the research from U.S. Army Institute of Surgical Research: “Ultrasound imaging can be used to rapidly identify free flui d in abdominal and thoracic cavities which could necessitate immediate surgical intervention. However, proper ultrasound image capture requires a skilled ultras onography technician who is likely unavailable at the point of injury where reso urces are limited. Instead, robotics and computer vision technology can simplify image acquisition. As a first step towards this larger goal, here, we focus on the development of prototypes for ultrasound probe securement using a robotics p latform. The ability of four probe adapter technologies to precisely capture ima ges at anatomical locations, repeatedly, and with different ultrasound transduce r types were evaluated across more than five scoring criteria. Testing demonstra ted two of the adapters outperformed the traditional robot gripper and manual im age capture, with a compact, rotating design compatible with wireless imaging te chnology being most suitable for use at the point of injury.”
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 Translation is the subject of a report. According to news reporting originating from Recife, B razil, by NewsRx correspondents, research stated, “This study focuses on the tra nslation product in the form of subtitles and, in particular, investigates the p erceived quality of machine-translated post-edited interlingual subtitles. Basin g this study on data collected from Brazilian professional translators, we analy se whether the use of machine translation has an impact on the perceived quality and acceptability of interlingual subtitles.”
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 Turku, Finland, by NewsRx journalists, research stated, “Strict privacy regulations po se challenges to the development of machine learning (ML) in the field of health technology where data is particularly sensitive. Gathering and using robust, bi as-free, and suitably anonymized datasets required by ML models is difficult, ti me-consuming, and thus expensive.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Lahore, Pakistan, by N ewsRx journalists, research stated, “Effective software defect prediction is a c rucial aspect of software quality assurance, enabling the identification of defe ctive modules before the testing phase. This study aims to propose a comprehensi ve five-stage framework for software defect prediction, addressing the current c hallenges in the field.” Financial supporters for this research include Princess Nourah Bint Abdulrahman University Researchers Supporting Project Number; Princess Nourah Bint Abdulrahm an University, Riyadh, Saudi Arabia.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting out of Khulna University by NewsR x editors, research stated, “The construction industry faces many challenges, in cluding schedule and cost overruns, productivity constraints, and workforce shor tages. Compared to other sectors, it lags in digitalization in every project phase.”
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 Ro botics. According to news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Active participation from human subjects c an enhance the effectiveness of robot-assisted rehabilitation. Developing intera ctive control strategies for customized assistance is therefore essential for en couraging human-robot engagement.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Dhaka, Bangladesh, b y NewsRx correspondents, research stated, “Pedestrians are the most vulnerable r oad users and are over-represented in casualty statistics, particularly in low- and middle-income countries like Bangladesh.” The news editors obtained a quote from the research from Ahsanullah University o f Science and Technology (AUST): “To ensure the safety of pedestrians, it is nec essary to identify the factors underlying pedestrian behavior while crossing. He nce, this study aims to predict the pedestrian decision regarding crosswalks usi ng supervised machine learning techniques namely, Classification and Regression Tree (CART), Random Forest (RF), and Extreme Gradient Boost (XGBoost). A questio nnaire survey was conducted in twelve important locations of Dhaka, Bangladesh u sing 8 attributes related to crosswalk behavior. Analysis suggests RF model is t he most effective in terms of prediction performances, specifically having a 96. 00% F1 score and 95.83% MCC value. It has been found that unsuitability of crosswalk location, absence of guard rails on median, and inadequate lightning at night near crosswalks are the most important features f or preferring to use crosswalks.”
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 reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “In order to give full play to th e unique movement capabilities of biped robots that are different from tradition al mobile robots, and to improve the ability to adapt to the environment, planni ng an appropriate global footstep sequences is an important way. In this article , we proposed Greedy and Heuristic Quadratic Programming(GH-QP) based on the Qua dratic Programming(QP) method to achieve global footsteps for biped robots.”
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 Support Vector Machines. According to news reporting out of Cairo, Egypt, by NewsRx edi tors, research stated, “Land cover classification is a vital application of pola rimetric synthetic aperture radar (PolSAR) images in various fields, such as agr iculture monitoring and urban assessment. We introduce a modified and enhanced P olSAR image classification method, combining six decomposition techniques, a sup port vector machine (SVM) based classifier, and a probabilistic voting ensemble (PVE) model.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Thrombosis is the subject of a report. According to news repo rting originating from Turin, Italy, by NewsRx correspondents, research stated, “Robotic surgery has recently been used for treatment of renal cell carcinoma (R CC) and neoplastic thrombus located in the renal vein or inferior vena cava (IVC ). Accurate identification of the thrombus location is crucial, and three-dimens ional augmented reality (3D AR) may be valuable in achieving this.”
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