查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machines is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “This study presents a novel fluorescence imaging method for the real-time monitoring of beef quality deterioration and freshness. The fluorescence property of porphyrin in the form of heme can be used to characterize quality changes in beef during storage.” Our news journalists obtained a quote from the research from the Beijing Academy of Agricultural and Forestry Sciences, “Therefore, a fluorescence imaging system with an excitation light source of 440 nm and a CCD camera with a specific wavelength filter of 595 nm was constructed, and the porphyrin fluorescence images of beef samples stored at different temperatures were then collected. The quantitative model for predicting the microbial freshness indicator (TVC) of beef was built with the support vector machine regression (SVR) algorithm and produced satisfactory results with R and R of 0.858 and 0.812, respectively.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on robotics. According to news reporting originating from Munich, Germany, by NewsRx correspondents, research stated, “Ultrasound (US) imaging is widely used for biometric measurement and diagnosis of internal organs due to the advantages of being real- time and radiation-free. However, due to inter-operator variations, resulting images highly depend on the experience of sonographers.” Our news correspondents obtained a quote from the research from Technical University Munich (TU Mu- nich): “This work proposes an intelligent robotic sonographer to autonomously “explore” target anatomies and navigate a US probe to standard planes by learning from the expert. The underlying high-level phys- iological knowledge from experts is inferred by a neural reward function, using a ranked pairwise image comparison approach in a self-supervised fashion. This process can be referred to as understanding the “language of sonography.” Considering the generalization capability to overcome inter-patient variations, mutual information is estimated by a network to explicitly disentangle the task-related and domain features in latent space. The robotic localization is carried out in coarse-to-fine mode based on the predicted reward associated with B-mode images. To validate the effectiveness of the proposed reward inference network, representative experiments were performed on vascular phantoms (“line” target), two types of ex vivo animal organ phantoms (chicken heart and lamb kidney representing “point” target), and in vivo human carotids. To further validate the performance of the autonomous acquisition framework, physical robotic acquisitions were performed on three phantoms (vascular, chicken heart, and lamb kidney).”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Lafayette, Louisiana, by NewsRx journalists, research stated, “Pedestrian safety at nighttime is an ongoing critical traffic safety concern. Although poor visibility is primarily associated with nighttime pedestrian crashes, other contributing factors such as humans, vehicles, roadways, and environmental factors interact with each other to cause a crash.” Financial support for this research came from Louisiana Department of Transportation and Develop- ment.
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news originating from Haikou, People’s Republic of China, by NewsRx editors, the research stated, “This paper takes the integration development path of artificial intelligence technology and clothing design as the entry point, analyzes the influence of arts and crafts culture on clothing design, and gives the correlation between artificial intelligence, clothing design and arts and crafts culture.” Our news reporters obtained a quote from the research from Qiongtai Normal University: “In order to make the style and color of clothing design more diversified, Fuzzy C-means is used to extract the color of the elements of arts and crafts culture, and adaptive optimization is used to compensate for the chromaticity of the color through artificial intelligence technology. A texture generation network is constructed based on the generative adversarial network to obtain the shape and texture style of the images of arts and crafts cultural elements in apparel design. To verify the effectiveness of the above method in spreading apparel design and arts and crafts culture, experimental validation analysis was conducted. The results show that the Fuzzy C-means algorithm improves PSNR by an average of 1.094 dB and SSIM by between 1.1% and 2.5% compared with the SVD-Means feature color extraction algorithm.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “The ongoing growth of the Internet of Things and machine learning technology have provided increased motivation for the development of smart healthcare. In this study, a disease diagnosis system is proposed for remote identification and early prediction in smart healthcare environments.” Financial support for this research came from Jilin Provincial Department of Science and Technology, China. Our news editors obtained a quote from the research from the Changchun University of Science and Technology, “The originality of this study resides in the innovative implementation of ensuing modules to improve diagnostic accuracy of the system. First, fuzzy clustering based on the forest optimization algorithm is employed to detect outliers and a self-organizing fuzzy logic classifier is applied to supplement missing data in electronic medical records (EMRs). A feature selection technique using the battle royale optimization algorithm is then developed to remove redundant information and identify optimal EMR features. The refined and fused data are further classified using an eigenvalue-based machine learning algorithm to determine whether a patient exhibits a certain disease.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Science is the subject of a report. According to news originating from Utrecht, Netherlands, by NewsRx correspondents, research stated, “Several studies have shown that mouth movements related to the pronunciation of individual phonemes are represented in the sensorimotor cortex. This would theoretically allow for brain computer interfaces that are capable of decoding continuous speech by training classifiers based on the activity in the sensorimotor cortex related to the production of individual phonemes.” Financial support for this research came from Nederlandse Organisatie voor Wetenschappelijk Onder- zoek.
查看更多>>摘要：2024 FEB 02 (NewsRx) – 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 from Trondheim, Norway, by NewsRx journalists, research stated, “In this article, the Lyapunov theory for uniform practical asymptotic stability (UPAS) is presented and utilized to solve the problem of position control of a planar underwater snake robot (USR). First sufficient conditions for UPAS of a time-varying nonlinear system and a theorem for UPAS of cascaded systems are presented.” Financial support for this research came from Spanish Government.
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news reporting out of Rome, Italy, by NewsRx editors, research stated, “We present a novel method for navigation of mobile robots in challenging dynamic environments. The method, which is based on Nonlinear Model Predictive Control (NMPC), hinges upon a specially devised constraint for dynamics-aware collision avoidance.” Our news journalists obtained a quote from the research from the Sapienza University of Rome, “In particular, the constraint builds on the notion of avoidable collision state, taking into account the robot ac- tuation capabilities in addition to the robot-obstacle relative distance and velocity. The proposed approach is applied to both ground and flying robots and tested in a variety of static and dynamic environments. Comparative simulations with an NMPC using a purely distance-based collision avoidance constraint con- firm the superiority of the dynamics-aware version, especially for high-speed navigation among moving obstacles.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligence is the subject of a new report. According to news reporting from Nuevo Leon, Mexico, by NewsRx journalists, research stated, “Determining the type of kidney stones allows urologists to prescribe a treatment to avoid the recurrence of renal lithiasis.” Financial supporters for this research include Azure Sponsorship Credits Granted By Microsoft’s Artificial Intelligence (Ai) For Good Research Laboratory Through The Ai For Health Program; French-mexican Asociacion Nacional De Universidades E Instituciones De Educacion Superior (Anuies) Consejo Nacional De De Humanidades, Ciencia Y Tecnologia (Conahcyt) Ecos Nord; Tecnologico De Monterrey Through The ‘‘challenge-based Research Funding Program 2022"
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news originating from Athens, Greece, by NewsRx correspondents, research stated, “This paper presents a novel approach for tracking deformable contour targets using Unmanned Aerial Vehicles (UAVs). The proposed scheme combines image moments descriptor and Event-Triggered (ET) Nonlinear Model Predictive Control (NMPC) for efficient and accurate tracking.” Financial support for this research came from European Union#x0027;s Horizon 2020 Research and Innovation Program PATHOCERT.
NETL
NSTL
Sage
Elsevier
Springer Nature
IEEE