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 originating from Zhytomyr, Ukraine, by NewsRx editors, the research stated, “This article presents a practical implementation of an ap proach for the automated attestation of the indicators of manipulation for syste ms of stationary industrial robots with one arm and one clamping device.” Our news correspondents obtained a quote from the research from Zhytomyr Polytec hnic State University: “A developed mathematical model of systems for the manipu lation of the metric attestation process for industrial robots is presented. Att estation is performed by properly performing the relevant calculation procedures using the CoppeliaSim and MATLAB software products.”
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 - Meningeal Neoplasms is the subject of a report. Accor ding to news originating from Qingdao, People’s Republic of China, by NewsRx cor respondents, research stated, “This study evaluates the efficacy of radiomics-ba sed machine learning methodologies in differentiating solitary fibrous tumor (SF T) from angiomatous meningioma (AM). A retrospective analysis was conducted on 1 71 pathologically confirmed cases (94 SFT and 77 AM) spanning from January 2009 to September 2020 across four institutions.” Our news journalists obtained a quote from the research from the Affiliated Hosp ital of Qingdao University, “The study comprised a training set (n=137) and a va lidation set (n=34). All patients underwent contrast-enhanced T1-weighted (CE-T1 WI) and T2-weighted(T2WI) MRI scans, from which 1166 radiomics features were ext racted. Subsequently, seventeen features were selected through minimum redundanc y maximum relevance (mRMR) and the least absolute shrinkage and selection operat or (LASSO). Multivariate logistic regression analysis was employed to assess the independence of these features as predictors. A clinical model, established via both univariate and multivariate logistic regression based on MRI morphological features, was integrated with the optimal radiomics model to formulate a radiom ics nomogram. The performance of the models was assessed utilizing the area unde r the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), and negative predict ive value (NPV). The radiomics nomogram demonstrated exceptional discriminative performance in the validation set, achieving an AUC of 0.989. This outperformanc e was evident when compared to both the radiomics algorithm (AUC= 0.968) and the clinical model (AUC = 0.911) in the same validation sets. Notably, the radiomic s nomogram exhibited impressive values for ACC, SEN, and SPE at 97.1% , 93.3%, and 100%, respectively, in the validation set .”
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 Beijing, People’s Republic of China, by NewsRx editors, the research stated, “In recent years, the simplif ied computation of position and velocity changes in nonlinear systems using Lie groups and Lie algebra has been widely used in the study of robot localization s ystems.” Financial supporters for this research include Open Fund of State Key Laboratory of Acoustics; Youth Innovation Promotion Association, Chinese Academy of Scienc es.
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 new report. According to news reporting from Shenyang, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Machine learni ng has been applied by more and more scholars in the field of quantitative inves tment, but traditional machine learning methods cannot provide high returns and strong stability at the same time. In this paper, a multimodal model based on re inforcement learning (RL) is constructed for the stock investment portfolio mana gement task.” Our news reporters obtained a quote from the research from Northeastern Universi ty: “Most of the previous methods based on RL have chosen the value-based RL met hods. Policy gradient-based RL methods have been proven to be superior to value- based RL methods by a growing number of research. Commonly used policy gradient- based reinforcement learning methods are DDPG, TD3, SAC, and PPO. We conducted c omparative experiments to select the most suitable method for the dataset in thi s paper. The final choice was DDPG. Furthermore, there will rarely be a way to r efine the raw data before training the agent. The stock market has a large amoun t of data, and the data are complex. If the raw stock market data are fed direct ly to the agent, the agent cannot learn the information in the data efficiently and quickly. We use state representation learning (SRL) to process the raw stock data and then feed the processed data to the agent. It is not enough to train t he agent using only stock data; we also added comment text data and image data. The comment text data comes from investors’ comments on stock bars. Image data a re derived from pictures that can represent the overall direction of the market. ”
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 originating from Erlangen, Germany, by NewsRx cor respondents, research stated, “Researchers have attempted to control robotic han ds and prostheses through biosignals but could not match the human hand.” Funders for this research include German Research Foundation. The news editors obtained a quote from the research from Friedrich-Alexander-Uni versity Erlangen- Nurnberg (FAU): “Surface electromyography records electrical mu scle activity using non-invasive electrodes and has been the primary method in m ost studies. While surface electromyography-based hand motion decoding shows pro mise, it has not yet met the requirements for reliable use. Combining different sensing modalities has been shown to improve hand gesture classification accurac y. This work introduces a multimodal bracelet that integrates a 24-channel force myography system with six commercial surface electromyography sensors, each con taining a six-axis inertial measurement unit. The device’s functionality was tes ted by acquiring muscular activity with the proposed device from five participan ts performing five different gestures in a random order. A random forest model w as then used to classify the performed gestures from the acquired signal.”
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 cy bernetics and robotics. According to news originating from the Institute of Cybe r-Systems and Control by NewsRx correspondents, research stated, “Resilient moti on planning and control, without prior knowledge of disturbances, are crucial to ensure the safe and robust flight of quadrotors.” Financial supporters for this research include National Natural Science Foundati on of China; China Postdoctoral Science Foundation; Natural Science Foundation o f Zhejiang Province.
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 out of Houston, Texas, by NewsRx editors, research stated, “Artificial intelligence (AI) has the poten tial to revolutionize chronic pain management by guiding the development of effe ctive treatment strategies that are tailored to individual patient needs. This p otential comes from AI’s ability to analyze large and heterogeneous datasets to identify hidden patterns.” Our news journalists obtained a quote from the research from Houston Methodist R esearch Institute, “When applied to clinical datasets of a particular patient po pulation, AI can be used to identify pain subtypes among patients, predict treat ment responses, and guide the clinical decision-making process. However, integra ting AI into the clinical practice requires overcoming challenges such as data q uality, the complexity of human pain physiology, and validation against diverse patient populations.”
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 new report. According to news reporting originating from G uangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Against the background of smart city construction and the increasing applicati on of big data in the field of planning, a method is proposed to effectively imp rove the objectivity, scientificity, and global nature of urban park siting, tak ing Guangzhou and its current urban park layout as an example.” Financial supporters for this research include National Natural Science Foundati on of China.
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 from Milan, Italy , by NewsRx correspondents, research stated, “Steel, as a crucial material exten sively used in various fields, has a critical impact on the determination of the stability and reliability of engineering structures. Nevertheless, because of i nevitable factors in manufacturing, transportation, and other processes, steel m ay exhibit various surface defects during production and handling.” Financial supporters for this research include Politecnicodi Milano within the C RUI-CARE Agreement, Natural Science Foundation of Liaoning Province, European Un ion (EU).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Washington, D.C., NewsRx journali sts report that a patent application by the inventors CHUNG, Hoon (Hwaseong-si, KR); Choi, Jin (Seoul, KR); Jo, Sun Myoung (Ansan-si, KR), filed on August 17, 2 023, was made available online on September 26, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: “Autonomous mobile robots should be able to overcome variou s terrains, such as stairs and bumps, as well as simple flat surfaces. In the ca se of mobile bodies using wheels rather than humanoid robots, it can be difficul t to overcome various terrains when the mobile bodies travel in a similar manner in which normal vehicles are controlled and moved.
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