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    Researcher at Chongqing Normal University Publishes New Study Findings on Patter n Recognition and Artificial Intelligence (Representation Learning Based on Visi on Transformer)

    136-137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 pa ttern recognition and artificial intelligence. According to news originating fro m Chongqing, People’s Republic of China, by NewsRx editors, the research stated, “In recent years, with the rapid development of information technology, the vol ume of image data has grown exponentially.” Funders for this research include Science And Technology Research Program of Cho ngqing Municipal Education Commission; Chongqing Technology Innovation And Appli cation Development Project; The National Natural Science Foundation of China; Th e Science And Technology Research Program of Chongqing Municipal Education Commi sson.

    Study Results from Vali-e-Asr University of Rafsanjan Provide New Insights into Machine Learning (Improving Probabilistic Bisimulation for MDPs Using Machine Le arning)

    136-136页
    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 originating from Vali-e-Asr University of Rafsanjan by NewsRx correspondents, research stated, “The utiliza tion of model checking has been suggested as a formal verification technique for analyzing critical systems.” The news journalists obtained a quote from the research from Vali-e-Asr Universi ty of Rafsanjan: “However , the primary challenge in applying to complex systems is the state space explosion problem. To address this issue , bisimulation mini mization has emerged as a prominent method for reducing the number of states in a system , aiming to overcome the difficulties associated with the state space e xplosion problem. For systems with stochastic behaviors , probabilistic bisimula tion is employed to minimize a given model , obtaining its equivalent form with fewer states. In this paper , we propose a novel technique to partition the stat e space of a given probabilistic model to its bisimulation classes. This techniq ue uses the PRISM program of a given model and constructs some small versions of the model to train a classifier. It then applies supervised machine learning te chniques to approximately classify the related partition.”

    Affiliated Hospital of North Sichuan Medical College Reports Findings in Prostat ectomy (A systematic review and meta-analysis of the role of perineal hydrodisse ction in perioperative, oncologic, and functional outcomes for patients undergoi ng ...)

    137-138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 - Prostatectom y is the subject of a report. According to news reporting out of Nanchong, Peopl e’s Republic of China, by NewsRx editors, research stated, “This study aims to c ompare the perioperative, oncological, and functional outcomes of perineal hydro dissection (HD) with standard treatment (ST) in patients undergoing robot-assist ed radical prostatectomy. We performed an exhaustive search in databases such as PubMed, Embase, Web of Science, and the Cochrane Library, seeking English-langu age studies relevant to our research question, with a cutoff date of April 2024. ”

    Pamukkale University Reports Findings in Artificial Intelligence (AIDriven loca lization of all impacted teeth and prediction of winter angulation for third mol ars on panoramic radiographs: Clinical user interface design)

    138-139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 Artificial Intelligenc e is the subject of a report. According to news reporting originating from Deniz li, Turkey, by NewsRx correspondents, research stated, “Impacted teeth are abnor mal tooth disorders under the gums or jawbone that cannot take their normal posi tion even though it is time to erupt. This study aims to detect all impacted tee th and to classify impacted third molars according to the Winter method with an artificial intelligence model on panoramic radiographs.”

    University of Shanghai for Science and Technology Reports Findings in Artificial Intelligence [Establishment and evaluation of Voting algorit hm-based internal quality control (ViQC), a patient-based real-time quality cont rol]

    139-140页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Patient-Based Real-Time Quali ty Control (PBRTQC) has emerged as a supplementary programme to traditional inte rnal quality control (iQC) mechanisms. Despite its growing popularity, practical applications in clinical settings reveal several challenges.”

    Karolinska Institute Reports Findings in Artificial Intelligence (Effect of Beni gn Biopsy Findings on an Artificial Intelligence-Based Cancer Detector in Screen ing Mammography: Retrospective Case-Control Study)

    140-141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 Artificial Intelligenc e is the subject of a report. According to news reporting originating in Stockho lm, Sweden, by NewsRx journalists, research stated, “Artificial intelligence (AI )-based cancer detectors (CAD) for mammography are starting to be used for breas t cancer screening in radiology departments. It is important to understand how A I CAD systems react to benign lesions, especially those that have been subjected to biopsy.”

    Kongju National University Researchers Target Robotics [Devel opment of vehicle- recognition method on water surfaces using LiDAR data: SPD2 ( spherically stratified point projection with diameter and distance)]

    141-142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 out of Cheonan, South Korea, by NewsRx editors, r esearch stated, “Swarm robot systems are an important application of autonomous unmanned surface vehicles on water surfaces. For monitoring natural environments and conducting security activities within a certain range using a surface vehic le, the swarm robot system is more efficient than the operation of a single obje ct as the former can reduce cost and save time.” Funders for this research include Agency For Defense Development; Defense Acquis ition Program Administration.

    Zhejiang University School of Medicine Reports Findings in Cerebral Hemorrhage ( Machine learning for the prediction of in-hospital mortality in patients with sp ontaneous intracerebral hemorrhage in intensive care unit)

    142-143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 Central Nervous System Diseases and Conditions - Cerebral Hemorrhage is the subject of a report. Accor ding to news originating from Hangzhou, People’s Republic of China, by NewsRx co rrespondents, research stated, “This study aimed to develop a machine learning ( ML)-based tool for early and accurate prediction of in-hospital mortality risk i n patients with spontaneous intracerebral hemorrhage (sICH) in the intensive car e unit (ICU). We did a retrospective study in our study and identified cases of sICH from the MIMIC IV (n = 1486) and Zhejiang Hospital databases (n = 110).”

    Researchers from Jilin University Provide Details of New Studies and Findings in the Area of Support Vector Machines (Magnetic Resonance Sounding Data Denoising Based On Successive Dn-resunet Models With Noise Predetection Using Support Vec tor ...)

    143-144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 Support Vector Machine s is the subject of a report. According to news reporting originating from Chang chun, People’s Republic of China, by NewsRx correspondents, research stated, “Ma gnetic resonance sounding (MRS) measurements used for detecting the subsurface a quifers commonly suffer from the notoriously low signal-to-noise ratio (SNR). Th e conventional approaches usually deal with the specific noise components step b y step to improve the SNR, but the denoising effect is limited.” Financial support for this research came from National Key Research and Developm ent Program of China.

    Investigators from Sapienza University of Rome Zero in on Machine Learning (Mach ine Learning-based Detection of Tec Signatures Related To Earthquakes and Tsunam is: the 2015 Illapel Case Study)

    145-145页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Rome, Italy, by Ne wsRx correspondents, research stated, “Earthquakes and tsunamis can trigger acou stic and gravity waves that could reach the ionosphere, generating electron dens ity disturbances, known as traveling ionospheric disturbances. These perturbatio ns can be investigated as variations in ionospheric total electron content (TEC) estimated through global navigation satellite systems (GNSS) receivers.” Funders for this research include Zegna Foundation, Zegna Foundation Grant, Doct oral Program fellowship within the Data Science Course of Sapienza University of Rome, AXA Research Fund, Intergovernmental Oceanographic Commission of UNESCO ( IOC-UNESCO) on Coastal Livelihood grant, ETH Zurich.