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 Budapest, Hungary, by NewsRx editors, the research stated, "Different point cloud technologies suc h as Terrestrial Laser Scanners (TLS), Airborne Laser Scanners (ALS), Mobile Map ping Systems (MMS), and Unmanned Aerial Vehicles (UAV) have become increasingly more common in land surveying and geoinformatics over recent years. Thanks to th ese modern tools, experts can survey large areas cost-effectively with either hi gh resolution or high accuracy." Financial supporters for this research include New National Excellence Program o f the Ministry for Culture and Innovation from the National Research, Developmen t and Innovation Fund, European Union (EU).
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 Bochum, Germany , by NewsRx editors, research stated, "Single-stage mastopexy augmentation is a much-debated intervention due to its complexity and the associated relatively hi gh complication rates. This study aimed to reevaluate the risk factors for these complications using a novel approach based on artificial intelligence and to de monstrate its possible limitations." Our news journalists obtained a quote from the research from BG-University Hospi tal, "Complete datasets of patients who underwent single-staged augmentation mas topexy during 2014-2023 at one institution by a single surgeon were collected re trospectively. These were subsequently processed and analyzed by CART, RF and XG Boost algorithms. A total of 342 patients were included in the study, of which 4 3 (12.57%) reported surgery-associated complications, whereby capsu lar contracture (n = 19) was the most common. BMI represented the most important variable for the development of complications (FIS = 0.44 in CART). 2.9% of the patients expressed the desire for implant change in the course, with abse nce of any complications. A statistically significant correlation between smokin g and the desire for implant change (p <0.001) was reveale d. The importance of implementing artificial intelligence into clinical research could be underpinned by this study, as risk variables can be reclassified based on factors previously considered less or even irrelevant. Thereby we encountere d limitations using ML approaches. Further studies will be needed to investigate the association between smoking, BMI and the current implant size with the desi re for implant change without any complications. Moreover, we could show that th e procedure can be performed safely without high risk of developing major compli cations. This journal requires that authors assign a level of evidence to each a rticle."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning - Comp utational Intelligence is now available. According to news reporting from Assam, India, by NewsRx journalists, research stated, "The explosive growth of mobile data traffic generated primarily from resource-hungry video streaming sessions c hallenges the service providers to deliver a better Quality of Service to the he terogeneous end-users. Content caching in Edge Computing is a promising solution to cope with this exponential rise in video traffic." The news correspondents obtained a quote from the research from the Indian Insti tute of Technology Guwahati, "The most popular videos are typically stored in th e local caches of edge servers to provide fast and continuous access to videos. However, various edge caching strategies fail to cope with the dynamic request p atterns of the users. Most learning-based caching models are generally trained i n a centralized way, which overconsumes the network resources during training an d transmission of video requests. Therefore, we propose a Federated Learning-bas ed Reinforcement Learning caching framework called FedCache in this work. In Fed Cache, the training is decentralised on the end-user devices with its local data . The trained parameters from the end users are aggregated at the central server ."
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 Beijing, People's Republic of Ch ina, by NewsRx correspondents, research stated, "Legged robots show great potent ial for high-dynamic motions in continuous interaction with the physical environ ment, yet achieving animal-like agility remains significant challenges. Legged a nimals usually predict and plan their next locomotion by combining high-dimensio nal information from proprioception and exteroception, and adjust the stiffness of the body's skeletal muscle system to adapt to the current environment." Financial supporters for this research include The National Key Research Program of China, National Key Research Program of China. Our news editors obtained a quote from the research from the Beijing Institute o f Technology, "Traditional control methods have limitations in handling high-dim ensional state information or complex robot motion that are difficult to plan ma nually, and Deep Reinforcement Learning (DRL) algorithms provide new solutions t o robot motioncontrol problems. Inspired by biomimetics theory, we propose a per ceptiondriven high-dynamic jump adaptive learning algorithm by combining DRL al gorithms with Virtual Model Control (VMC) method. The robot will be fully traine d in simulation to explore its motion potential by learning the factors related to continuous jumping while knowing its real-time jumping height. The policy tra ined in simulation is successfully deployed on the bio-inspired single-legged ro bot testing platform without further adjustments."
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 originating from Bangkok, Thailand, by NewsRx editors, the research stated, "A thermal cracking furnace is an important equipment in the petrochemical industry that is typically used for breaking lon g hydrocarbons into short chains and producing coke as a byproduct. Deposition o f the generated coke increases the temperature at the outside coil wall, necessi tating regular furnace maintenance to prevent coil failure." Funders for this research include Center of Excellence on Petrochemical And Mate rials Technology; Faculty of Engineering, Kasetsart University. Our news reporters obtained a quote from the research from Kasetsart University: "Therefore, this study proposed a machine learning approach with a posteriori-b ased feature to predict the service life of the furnace to runtime failure. The proposed approach consists of a two-level machine learning model, which aims to improve prediction accuracy and reduce feature sensitivity. The label is classif ied as a week-range label, which can be categorized by classification criteria i nto three classes: weekly, bi-weekly, and quarter-weekly. The first-level model is utilized to extract sensor features into the posterior probability class labe l score. These scores are then processed and sorted into moving windows to gener ate features for the second-level model. The results showed that the proposed mo del could extract process variation and identify service needs, which improved c lassification accuracy by 23.94 % and 17.67 % for th e clean and coke-contaminated datasets compared to the conventional classificati on model, respectively."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news originating from Erlangen, Germany, by NewsRx corresponden ts, research stated, "A high-throughput screening of leadfree double chloride p erovskites Cs2MIMIIICl6 is performed combining combinatorial robot-assisted synt hesis with accelerated structural and spectral characterizations. The screening encompasses about 350 elpasolite compounds with broad variations of the MIII sit e, including combinations of two (Bi + In, Bi + Sb, and In + Sb) and three catio ns (In + Bi + Sb and Fe + Bi + In)." Funders for this research include German Federal Ministry for Economic Affairs a nd Climate Action, Bavarian State Government.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting originating in Wuhan, People's Repub lic of China, by NewsRx journalists, research stated, "In modern industry, human -robot collaboration is becoming the norm. Since the robots need to share the sa me workspace with humans in an unstructured/semistructured environment, robot-hu man and robot-environment collisions are inevitable in general." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from the Huazhong Universi ty of Science and Technology, "To reduce the harm caused by these collisions, it is necessary to detect them in real time so that actions can be taken according ly. In this article, we propose a general robot collision detection method based on switched momentum dynamics identification. This enables real-time collision detection without any additional sensors, which are usually required by most of the existing real-time collision detection methods. Our algorithm identifies the specific parts in robot momentum dynamics that are affected by collisions and r eports a collision occurrence whenever the identified parts deviate from a known collisionfree model. The identification results are further analyzed using a s upport vector machine classifier to locate the linkage involved in the collision s."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from the Uni versity of Melbourne by NewsRx correspondents, research stated, "Smart, low-cost and portable gas sensors are highly desired due to the importance of air qualit y monitoring for environmental and defense-related applications. Traditionally, electrochemical and nondispersive infrared (IR) gas sensors are designed to dete ct a single specific analyte." Funders for this research include Defence Science Institute; Department of Educa tion And Training | Australian Research Council.
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 artific ial intelligence. According to news originating from Telangana, India, by NewsRx editors, the research stated, "In recent years, widespread availability of larg e datasets has propelled application of artificial intelligence (AI) and machine learning (ML) across various engineering domains." The news journalists obtained a quote from the research from National Institute of Technology Warangal: "The study focuses on developing an optimized ML model t o predict the strength of normal and high-strength concretes, utilizing a compre hensive dataset comprising around 900 concrete mixes. Regression tools are emplo yed to analyze the dataset and identify the most suitable regressor for accurate strength prediction. Performance indicators are then utilized to optimize the M L model on both training and test datasets."
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 Caen, F rance, by NewsRx journalists, research stated, "MRI is essential in the manageme nt of brain tumours. However, long waiting times reduce patient accessibility." The news reporters obtained a quote from the research from Radiology Department, "Reducing acquisition time could improve access but at the cost of spatial reso lution and diagnostic quality. A commercially available artificial intelligence (AI) solution, SubtleMR™ can increase the resolution of acquired images. The ob jective of this prospective study was to evaluate the impact of this algorithm t hat halves the acquisition time on the detectability of brain lesions in radiolo gy and radiotherapy. The T1/T2 MRI of 33 patients with brain metastases or menin giomas were analysed. Images acquired quickly have a matrix divided by two which halves the acquisition time. The visual quality and lesion detectability of the AI images were evaluated by radiologists and radiation oncologist as well as pi xel intensity and lesions size. The subjective quality of the image is lower for the AI images compared to the reference images. However, the analysis of lesion detectability shows a specificity of 1 and a sensitivity of 0.92 and 0.77 for r adiology and radiotherapy respectively. Undetected lesions on the IA image are l esions with a diameter less than 4mm and statistically low average gadolinium-en hancement contrast."
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