查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news originating from Beijing, People’s Republic of China, by News Rx correspondents, research stated, “Surface events that exhibit incomplete char ge collection are an essential background source in the light dark matter detect ion experiments with p -type point -contact germanium detectors. We propose a ma chine learningbased algorithm to identify bulk and surface events according to t heir pulse shape features.” Financial supporters for this research include National Key Research and De-velo pment Program of China, National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Tsinghua University , “We construct the training and test set with part of the -source calibration d ata and use the rising edge of the waveform as the model input. This method is v erified with the test set and another part of the -source calibration data. Resu lts show that this method performs well on both datasets, and presents robustnes s against the bulk events’ proportion and the dataset size. Compared with the pr evious approach, the uncertainty is reduced by 16% near the energy threshold on the physics data of CDEX-1B.”
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 - Robotics and Automation. According to news reporting originating from Irvine , California, by NewsRx correspondents, research stated, “This letter addresses a spatial coverage optimization problem where multiple heterogeneous sensors are deployed in a convex environment with a known area priority function. Each sens or’s coverage is defined by an anisotropic spatial distribution.” Financial support for this research came from National Science Foundation (NSF). Our news editors obtained a quote from the research from the University of Calif ornia Irvine, “We introduce the Stein Coverage algorithm, a distribution-matchin g coverage approach that aims to place sensors at positions and orientations tha t result in a collective coverage distribution that is as close as possible to t he event distribution. To select the most important representative points from t he coverage event distribution, Stein Coverage utilizes the Stein Variational Gr adient Descent (SVGD), a deterministic sampling method from the variational infe rence literature. An innovation in our work is the introduction of a repulsive f orce between the samples in the SVGD algorithm to spread the samples and avoid f ootprint overlap for the deployed sensors. After pinpointing the points of inter est for deployment, Stein Coverage solves the multisensor assignment problem usi ng a bipartite optimal matching process.”
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 Learn ing have been published. According to news reporting out of Prague, Czech Republ ic, by NewsRx editors, research stated, “Portland cement concrete (PCC) is the c onstruction material most used worldwide. Hence, its proper characterization is fundamental for the daily-basis engineering practice.” Financial supporters for this research include Departamento Administrativo de Ci encia, Tecnologa e Innovacin (COLCIENCIAS), Department of Science, Technology, a nd Innovation (COLCIENCIAS), Universidad del Norte.
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 Rupnagar, India, by NewsRx ed itors, research stated, “Material properties play a crucial role in governing th e seismic response of reinforced-concrete buildings. Investigating the effects o f material properties uncertainty using nonlinear dynamic analysis can be comput ationally expensive to obtain the seismic fragility curve parameters.” Financial support for this research came from Ministry of Education, Government of India.
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 - Robotics an d Automation is the subject of a report. According to news reporting originating in Rancagua, Chile, by NewsRx journalists, research stated, “In recent years, t here has been an increasing interest in using robotics and autonomous systems fo r fruit farming. These systems use detection and segmentation algorithms to prov ide computers with a way to interpret and interact with plants, thus allowing th em to automatize assessment and harvesting tasks.” Financial support for this research came from FONDEQUIP project. The news reporters obtained a quote from the research from O’Higgins University, “This type of algorithm requires a dataset to train a machine learning algorith m, but most types of fruits lack a publicly available dataset. We present Cherry CO, a novel, high-resolution dataset for cherry detection and segmentation. Thi s dataset contains 3,006 labeled images that were acquired in a cherry plantatio n. The images were taken in various conditions to account for most challenges in this environment. Each cherry was manually labeled to account for location, sha pe and classes, taking into account aspects such as ripeness, health state and l ocation. This letter presents a detailed description of data acquisition, annota tion specifications and statistical analysis of the dataset. In addition, we tra ined and evaluated several Deep Neural Networks to provide a benchmark for cherr y detection, achieving high performance with most networks, most notably YOLOv7. ”
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 Robotics. According to news reporting originating from Changchun, People’s Repub lic of China, by NewsRx correspondents, research stated, “In this paper, a novel health indicator-based decentralized event-triggered optimal fault-tolerant con trol method is proposed for modular robot manipulators (MRMs). First, the subsys tem dynamic model is established by utilizing the joint torque feedback (JTF) te chnique.” Funders for this research include National Natural Science Foundation of China ( NSFC), Scientific Technological Develop-ment Plan Project in Jilin Province of C hina.
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 ar tificial intelligence. According to news reporting out of Tamil Nadu, India, by NewsRx editors, research stated, “Maternal mortality is a major public health co ncern worldwide.” The news journalists obtained a quote from the research from School of Computer Science and Engineering: “It is the number of preventable deaths that occur each year due to pregnancy and childbirth. The research investigates how machine lea rning may be used to minimize maternal mortality. Historical data on maternal he alth is used to develop predictive models, early detection systems, and resource allocation techniques. Machine learning helps to identify risk factors, monitor vital signs, and improve access to care. This allows for targeted interventions and better healthcare delivery. The challenges of data accessibility and model interpretation are addressed, highlighting the ethical and equitable application s of machine learning in maternal healthcare.”
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 Beijing, People’s Republic of China, by NewsRx editors, research stated, “The ability to recognize novel objects with a few visual samples is critical in the robotic applications. Existing methods mainly concern the recognition of inter-category objects, however, the object re cognition from different sub-classes within the same category remains challengin g due to their similar appearances.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), CIE-Tencent Robotics X Rhino-Bird Focused Research Program, Beijing Natural Science Foundation.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on structural engineering is the subject of a new report. According to news reporting out of Kuala Lumpur , Malaysia, by NewsRx editors, research stated, “Concrete, a fundamental constru ction material, stands as a significant consumer of virgin resources, including sand, gravel, crushed stone, and fresh water. It exerts an immense demand, accou nting for approximately 1.6 billion metric tons of Portland and modified Portlan d cement annually.”The news journalists obtained a quote from the research from British Malaysian I nstitute: “Moreover, addressing extreme conditions with exceptionally nonlinear behavior necessitates a laborious calibration procedure in structural analysis a nd design methodologies. These methods are also difficult to execute in practice . To reduce time and effort, ML might be a viable option. A set of keywords are designed to perform the search PubMed search engine with filters to not search t he studies below the year 2015. Furthermore, using PRISMA guidelines, studies we re selected and after screening, a total of 42 studies were summarized. The PRIS MA guidelines provide a structured framework to ensure transparency, accuracy, a nd completeness in reporting the methods and results of systematic reviews and m eta-analyses. The ability to methodically and accurately connect disparate parts of the literature is often lacking in review research. Some of the trickiest pa rts of original research include knowledge mapping, co-citation, and co-occurren ce. Using this data, we were able to determine which locations were most active in researching machine learning applications for concrete, where the most influe ntial authors were in terms of both output and citations and which articles garn ered the most citations overall.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news originating from Birmingham, United Kin gdom, by NewsRx editors, the research stated, “With the surging interest in elec tric vehicles (EVs), there is a need for advancements in the development and dis mantling of lithium-ion batteries (LIBs), which are highly important for the cir cular economy.” Financial supporters for this research include “research And Development of A Hi ghly Automated And Safe Streamlined Process For Increase Lithium-ion Battery Rep urposing And Recycling”; Ministry of National Education, Republic of Turkey.
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