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 out of Wuhan, People’s Republ ic of China, by NewsRx editors, research stated, “A variety of machine learning (ML) models have been extensively utilized in predicting biomass pyrolysis owing to their prowess in deciphering complex non-linear relationships between inputs and outputs, but there is still a lack of consensus on the optimal methods. Thi s study elaborates on the development, optimization, and evaluation of three ML methodologies, namely, artificial neural networks, random forest (RF), and suppo rt vector machines, aimed to determine the optimal model for accurate prediction of biomass pyrolysis behavior using thermogravimetric data.” Our news journalists obtained a quote from the research from the China Universit y of Geosciences, “This work assesses the utility of thermal data derived from t hese models in the computation of kinetic and thermodynamic parameters, alongsid e an analysis of their statistical performance. Eventually, the RF model exhibit s superior physical interpretability and the least discrepancy in predicting kin etic and thermodynamic parameters.”
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 Translation h ave been presented. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Compared to subword based Ne ural Machine Translation (NMT), character based NMT eschews linguistic -motivate d segmentation which performs directly on the raw character sequence, following a more absolute end -to -end manner. This property is more fascinating for machi ne translation (MT) between Japanese and Chinese, both of which use consecutive logographic characters without explicit word boundaries.”
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 originating from Chengdu, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Paleogeogra phic reconstruction studies the evolution of the earth’s surface tectonic proces s, the pattern of land and sea, climate, and biology in time and space in geolog ical history. With the advent of the big data era, the accuracy of the digital p aleogeographic reconstruction is essential.” Funders for this research include National Natural Science Foundation of China.
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 Brescia, Italy, by NewsRx editors, re search stated, “In the field of upper limb prosthetics, the incorporation of sen sory feedback is critical to cognitive processes and behavior. Studies have demo nstrated that haptic feedback improves amputees’ control over their prostheses.” Financial support for this research came from ANR-BYCEPS.
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 Artificial In telligence have been published. According to news reporting out of Pamplona, Spa in, by NewsRx editors, research stated, “Automatic art analysis employs differen t image processing techniques to classify and categorize works of art. When work ing with artistic images, we need to take into account further considerations co mpared to classical image processing.” Financial support for this research came from Oracle Cloud credits and related r esources provided by Oracle.
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 Qingdao, People’s Republic of China, by Ne wsRx editors, research stated, “When addressing the technical challenges of achi eving precise force tracking during the local polishing process of polishing rob ots, controlling the contact state between the robot and the workpiece surface i s essential.” Funders for this research include Shandong Provincial Major Science And Technolo gy Innovation Project; Shandong Provincial Natural Science Foundation Project.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Adenomas is the subjec t of a report. According to news reporting out of Milan, Italy, by NewsRx editor s, research stated, “HCA resection is crucial to prevent bleeding and malignant transformation. The aim of this study was to enhance the precision of tumor rese ction in hepatocellular adenoma (HCA) through the combination of intraoperative ultrasound (IOUS) and indocyanine green (ICG) fluorescence imaging.” Our news journalists obtained a quote from the research from IRCCS San Raffaele Hospital, “ICG was intravenously injected 24 h before surgery, enabling positive staining of HCA nodules. IOUS guided the parenchymal transection performed usin g the RoboLap approach. IOUS combined with ICG effectively demarcated lesions, a llowing precision surgery while sparing healthy liver tissue. Intraoperative fro zen examination further validated the potential of ICG to identify previously un detected lesions. The study showed promising advantages of ICG in HCA resections , potentially reducing the risk of recurrence and malignant transformation.”
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 originating in Leeds, United Kingdom, by NewsRx journalists, research stated, “Precision measurement of the g rowth rate of individual single crystal facets () represents an important compon ent in the design of industrial crystallization processes. Current approaches fo r crystal growth measurement using optical microscopy are labor intensive and pr one to error.” The news reporters obtained a quote from the research from the University of Lee ds, “An automated process using state-of-the-art computer vision and machine lea rning to segment and measure the crystal images is presented. The accuracies and efficiencies of the new crystal sizing approach are evaluated against existing manual and semi-automatic methods, demonstrating equivalent accuracy but over a much shorter time, thereby enabling a more complete kinematic analysis of the ov erall crystallization process. This is applied to measure in situ the crystal gr owth rates and through this determining the associated kinetic mechanisms for th e crystallization of b-form l-glutamic acid from the solution phase. Growth on t he {101} capping faces is consistent with a Birth and Spread mech anism, in agreement with the literature, while the growth rate of the { 021} prismatic faces, previously not available in the literature, is consisten t with a Burton-Cabrera-Frank screw dislocation mechanism. At a typical supersat uration of s = 0.78, the growth rate of the {101} capping faces ( 3.2 x 10 m s) is found to be 17 times that of the {021} prismatic faces (1.9 x 10 m s). Both capping and prismatic faces are found to have dead z ones in their growth kinetic profiles, with the capping faces ( = 0.23) being ab out half that of the prismatic faces ( = 0.46).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Robotics are presented in a new rep ort. According to news originating from Laramie, Wyoming, by NewsRx editors, the research stated, “Sampling-based stochastic optimal control has become an appea ling robotic control framework due to its ability to handle complex and general forms of dynamics models and task specifications. Although sampling-based method s have been shown successful in a variety of single-robot control tasks, studies on their extension to multi-robot problems are limited.” Financial support for this research came from National Science Foundation (NSF).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “In this study, a mac hine learning-based method to assess and predict the cracking degree (CD) on woo d fiber bundles (WFB) was developed, which is crucial for enhancing the quality control and refining the production process of wood scrimber (WS).” Funders for this research include Central Level Public Welfare Research Institut es Basic Research Fund, China.
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