查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Canadian Unive rsity Dubai by NewsRx editors, research stated, “Hospitals use different technol ogical tools to implement corporate communication initiatives and, in this way, improve their relationships with stakeholders (employees, patients, media compan ies) and build a reputed brand.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Birm ingham City University by NewsRx correspondents, research stated, “Machine learn ing has become prevalent in transforming diverse aspects of our daily lives thro ugh intelligent digital solutions. Advanced disease diagnosis, autonomous vehicu lar systems, and automated threat detection and triage are some prominent use ca ses.”
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 Kosice, Slovakia, by NewsRx editors, research stated, “This paper presents the development and validation of a cost-e fficient and uncomplicated real-time localization system (RTLS) for use in mobil e robotics, specifically within indoor and storage environments.”
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 reporting originating from Surrey, Cana da, by NewsRx correspondents, research stated, “In this paper, we present a nove l approach referred to as the audio-based virtual landmark-based HoloSLAM.” Funders for this research include Simon Fraser University. Our news correspondents obtained a quote from the research from Simon Fraser Uni versity: “This innovative method leverages a single sound source and microphone arrays to estimate the voice-printed speaker’s direction. The system allows an a utonomous robot equipped with a single microphone array to navigate within indoo r environments, interact with specific sound sources, and simultaneously determi ne its own location while mapping the environment. The proposed method does not require multiple audio sources in the environment nor sensor fusion to extract p ertinent information and make accurate sound source estimations. Furthermore, th e approach incorporates Robotic Mixed Reality using Microsoft HoloLens to superi mpose landmarks, effectively mitigating the audio landmark-related issues of con ventional audiobased landmark SLAM, particularly in situations where audio land marks cannot be discerned, are limited in number, or are completely missing. The paper also evaluates an active speaker detection method, demonstrating its abil ity to achieve high accuracy in scenarios where audio data are the sole input.”
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 translation. According to news reporting originating from Beijing, People’ s Republic of China, by NewsRx correspondents, research stated, “Domain adaptati on proves to be an effective solution for addressing inadequate translation perf ormance within specific domains.” The news reporters obtained a quote from the research from Beijing Institute of Technology: “However, the straightforward approach of mixing data from multiple domains to obtain the multi-domain neural machine translation (NMT) model can gi ve rise to the parameter interference between domains problem, resulting in a de gradation of overall performance. To address this, we introduce a multi-domain a daptive NMT method aimed at learning domain specific sub-layer latent variable a nd employ the Gumbel-Softmax reparameterization technique to concurrently train both model parameters and domain specific sub-layer latent variable.”
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 report. According to news reporting from Jena, Germany, by NewsRx journal ists, research stated, “An ex-vivo study was aimed at (i) programming clinically validated robot three-year random toothbrushing, (ii) evaluating cervical macro - and microwear patterns on all tooth groups of different functional age, (iii) documenting and codificating wear related morphological features at the cemento- enamel junction in young teeth and on roots in older teeth. Following ethical ap proval random toothbrushing (44 strokes per tooth horizontally, rotating, vertic ally; 2x/d) with manual toothbrushes and low-abrasive dentifrice was performed i n an artificial oral cavity with brushing-force 3.5 N on 14 extracted human teet h.”
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 report. According to news reporting originating in Kolding, Denmark, by N ewsRx journalists, research stated, “There is currently an increased focus on co mpetency-based training, in which training and assessment play a crucial role. T he aim of this systematic review is to create an overview of hands-on training m ethods and assessment tools for appendicectomy and colon and rectal surgery proc edures using either an open, laparoscopic or robotassisted approach.”
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 Suzhou, People’s Republic o f China, by NewsRx editors, the research stated, “Permeable concrete is a type o f porous concrete with the special function of water permeability, but the perme ability of permeable concrete will decrease gradually due to the clogging behavi or arising from the surrounding environment.” The news journalists obtained a quote from the research from Suzhou Vocational U niversity: “To reliably characterize the clogging behavior of permeable concrete , particle swarm optimization (PSO) and random forest (RF) hybrid artificial int elligence techniques were developed in this study to predict the permeability co efficient of permeable concrete and optimize the aggregate mix ratio of permeabl e concrete. Firstly, a reliable database was collected and established to charac terize the input and output variables for the machine learning. Then, PSO and 10 -fold cross-validation were used to optimize the hyperparameters of the RF model using the training and testing datasets.”
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 have been pub lished. According to news reporting from Tehran, Iran, by NewsRx journalists, re search stated, “The best emotion recognition system based on physiological signa ls with a simple operatory should have higher accuracy and fast response speed. This paper aims to develop an emotion recognition system using a novel hybrid sy stem based on Hidden Markov Model and Poincare plot.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - Researchers detail new data in artificial intelli gence. According to news reporting out of Hanoi, Vietnam, by NewsRx editors, res earch stated, “Machine learning (ML) is being increasingly used to ease structur al health monitoring and management of bridges.” The news reporters obtained a quote from the research from University of Transpo rt and Communications: “Therefore, the main objective of this study is to apply two state-of-the-art machine learning (ML) algorithms, namely Locally weighted l earning (LWL) and K-Star, for the prediction of Vertical Deflection of composite bridges. To accomplish the objective, 83 track loading tests were carried out a t various bridges located in Vietnam and deflection data was collected for model s’ development. Model’s validation and comparison were carried out using differe nt popular methods, namely MAE, RMSE, and R on both training (70%) and validation (30%) datasets. The results of this study indicate t hat the K-Star algorithm outperforms LWL in predicting the vertical deflection o f composite bridges.”
NETL
NSTL