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    New Findings from Northeast Electric Power University in the Area of Robotics Published (A Mood Semantic Awareness Model for Emotional Interactive Robots)

    68-69页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on robotics is now available. According to news reporting originating from Jilin, People’s Republic of China, by NewsRx correspondents, research stated, “The rapid development of natural language processing technology and improvements in computer performance in recent years have resulted in the wide-scale development and adoption of human-machine dialogue systems.” Financial supporters for this research include Science And Technology Development Plan of Jilin Province, China; National Natural Science Foundation of China.

    Study Findings from Yazd University Broaden Understanding of Ma- chine Learning (A machine learning approach for predicting and lo- calizing the failure and damage point in sewer networks due to pipe properties)

    68-68页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial intelligence have been published. According to news originating from Yazd, Iran, by NewsRx correspondents, research stated, “As a basic infrastructure, sewers play an important role in the innards of every city and town to remove unsanitary water from all kinds of livable and functional spaces.” Our news editors obtained a quote from the research from Yazd University: “Sewer pipe failures (SPFs) are unwanted and unsafe in many ways, as the disturbance that they cause is undeniable. Unlike water distribution systems, sewer pipe networks meet manholes more often as water movement is due to gravity and manholes are needed in every intersection as well as through pipe length. Many studies have been focused on sewer pipe failures and so on, but few investigations have been done to show the effect of manhole proximity on pipe failure. Predicting and localizing the sewer pipe failures are affected by different parameters of sewer pipe properties, such as material, age, slope, and depth of the sewer pipes.”

    Tianjin University Reports Findings in Epilepsy (The association between trajectory-skull angle and accuracy of stereoelectroen- cephalography electrode implantation in drug-resistant Epilepsy)

    69-70页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Central Nervous System Diseases and Conditions - Epilepsy is the subject of a report. According to news reporting from Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “To analyze the relationship between trajectory-skull angle and stereoelectroen- cephalography (SEEG) electrode implantation accuracy in drug-resistant epilepsy patients, aiming to guide clinical electrode placement and enhance surgical precision and safety. We conducted a retrospective anal- ysis of medical records and surgical characteristics of 32 consecutive patients diagnosed with drug-resistant epilepsy, who underwent SEEG procedures at our center from June 2020 to June 2023.”

    Researchers at School of Engineering and Sciences Release New Data on Robotics (Robotic Mobile Fulfillment System: A System- atic Review)

    70-71页
    查看更多>>摘要:2024 FEB 20 (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 out of Monterrey, Mexico, by NewsRx editors, research stated, “The Robotic Mobile Fulfillment System (RMFS) is a method for handling products, in which a Line Follower Robot (LFR) transports products to a human workstation for packing. Financial supporters for this research include Research Group in Advanced Artificial Intelligence, Tecnologico De Monterrey; Consejo Nacional De Humanidades, Ciencia Y Tecnologia.

    Researcher at Gyeongsang National University Targets Machine Learning (A Machine-Learning-Based Failure Mode Classification Model for Reinforced Concrete Columns Using Simple Structural Information)

    71-72页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – 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 originating from Gyeongsangnam Do, South Korea, by NewsRx correspondents, research stated, “The seismically deficient column details in existing reinforced concrete buildings affect the overall behavior of the building depending on the failure type of the column.” Financial supporters for this research include Ministry of Education; Ministry of Science And Ict.

    Study Findings on Machine Learning Described by a Researcher at Gansu Agricultural University (Research on Machine Learning Models for Maize Hardness Prediction Based on Indentation Test)

    72-73页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting originating from Lanzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Hard- ness is a critical mechanical property of grains. Accurate predictions of grain hardness play a crucial role in improving grain milling efficiency, reducing grain breakage during transportation, and selecting high-quality crops.” Financial supporters for this research include Youth Fund of The National Natural Science Foundation of China.

    Study Data from Alexandru Ioan Cuza University Update Under- standing of Artificial Intelligence (A Study on the Correlation be- tween Intelligence and Spatial Orientation in Children Who Practice Chess at School)

    73-74页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Iasi, Romania, by NewsRx journalists, research stated, “The game of chess requires many hours of training in order to achieve the title of FIDE Master.” The news journalists obtained a quote from the research from Alexandru Ioan Cuza University: “The complex nature of the game requires higher cognitive skills and implicitly helps their development. We selected 2 third grade classes that have a total number of 67 pupils. They were assessed initially and finally to measure the intelligence quotient (I.Q.) and the level of spatial orientation. For testing the I.Q., we used the Raven Progressive Matrix and for the level of spatial orientation, the Bender-Santucci test. To check if the progress is statistically significant, we used paired samples t-test and calculated Cohen’s d to quantify how large the difference between the two tests is. We performed a simple linear regression between intelligence and spatial orientation to see if the intelligence quotient is a predictor of the level of spatial orientation.”

    Researcher at Babes-Bolyai University Has Published New Data on Machine Learning (Machine-Learning-Based Approaches for Multi- Level Sentiment Analysis of Romanian Reviews)

    74-75页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on artificial intelligence. According to news reporting originating from Cluj Napoca, Romania, by NewsRx correspondents, research stated, “Sentiment analysis has increasingly gained significance in commercial settings, driven by the rising impact of reviews on purchase decision-making in recent years.” Financial supporters for this research include European Regional Development Fund. Our news editors obtained a quote from the research from Babes-Bolyai University: “This research conducts a thorough examination of the suitability of machine learning and deep learning approaches for sentiment analysis, using Romanian reviews as a case study, with the aim of gaining insights into their practical utility. A comprehensive, multi-level analysis is performed, covering the document, sentence, and aspect levels. The main contributions of the paper refer to the in-depth exploration of multiple sentiment analysis models at three different textual levels and the subsequent improvements brought with respect to these standard models. Additionally, a balanced dataset of Romanian reviews from twelve product categories is introduced. The results indicate that, at the document level, supervised deep learning techniques yield the best outcomes (specifically, a convolutional neural network model that obtains an AUC value of 0.93 for binary classification and a weighted average F1-score of 0.77 in a multi-class setting with 5 target classes), albeit with increased resource consumption. Favorable results are achieved at the sentence level, as well, despite the heightened complexity of sentiment identification.”

    Data on Robotics Reported by Louise Deboeuf and Colleagues (Safety and efficacy of frameless stereotactic robot-assisted intra- parenchymal brain lesion biopsies versus image-guided biopsies: a bicentric comparative study)

    75-76页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news reporting from Paris, France, by NewsRx journalists, research stated, “User-friendly robotic assistance and image-guided tools have been developed in the past decades for intraparenchymal brain lesion biopsy. These two methods are gradually becoming well accepted and are performed at the discretion of the neurosurgical teams.” The news correspondents obtained a quote from the research, “However, only a few data comparing their effectiveness and safety are available. Population-based parallel cohorts were followed from two French university hospitals with different surgical methods and defined geographical catchment regions (September 2019 to September 2022). In center A, frameless robot-assisted stereotactic intraparenchymal brain lesion biopsies were performed, while image-guided intraparenchymal brain lesion biopsies were performed in center B. Pre-and postoperative clinical, radiological, and histomolecular features were retrospectively collected and compared. Two hundred fifty patients were included: 131 frameless robot-assisted stereotactic intraparenchymal brain lesion biopsies in center A and 119 image-guided biopsies in center B. The clinical, radiological, and histomolecular features were comparable between the two groups. The diagnostic yield (96.2% and 95.8% respectively; p = 1.000) and the overall postoperative complications rates (13% and 14%, respectively; p = 0.880) did not differ between the two groups. The mean duration of the surgical procedure was longer in the robot-assisted group (61.9 ± 25.3 min, range 23-150) than in the image-guided group (47.4 ± 11.8 min, range 25-81, p<0.001). In the subgroup of patients with anticoagulant and/or antiplatelet therapy administered preoperatively, the intracerebral hemorrhage >10 mm on postoperative CT scan was higher in the image-guided group (36.8%) than in the robot-assisted group (5%, p<0.001).”

    Findings on Computational Intelligence Reported by Investigators at University of Sheffield (Racfis: a New Rapid Adaptive Complex Fuzzy Inference System for Regression Modelling)

    76-77页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning - Computational Intelligence are discussed in a new report. According to news reporting from Sheffield, United Kingdom, by NewsRx journalists, research stated, “The theory of complex fuzzy sets has made great breakthroughs in recent times. Complex fuzzy theory (CFT) allows a fuzzy set to include more information with the help of its two-dimensional rule-base, which is of great potential for improving the related fuzzy system performance while managing the size of the associated rule-bases.”