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 Machine Learn ing have been published. According to news reporting originating in Amsterdam, N etherlands, by NewsRx journalists, research stated, "Different users of machine learning methods require different explanations, depending on their goals. To ma ke machine learning accountable to society, one important goal is to get actiona ble options for recourse, which allow an affected user to change the decision f (x) of a machine learning system by making limited changes to its input x. We fo rmalize this by providing a general definition of recourse sensitivity, which ne eds to be instantiated with a utility function that describes which changes to t he decisions are relevant to the user." Financial support for this research came from Netherlands Organization for Scien tific Research (NWO).
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 Support Vecto r Machines have been published. According to news originating from Ballarat, Aus tralia, by NewsRx correspondents, research stated, "One of the ambient effects o f production blasting is flyrock. To effectively manage flyrock throw distance i n mining, there is the necessity to successfully envisage blasting output withou t sacrificing the hazardous impact of flyrock which may result in fatality and o perational shutdown." Financial supporters for this research include Federation University Australia, University of Mines and Technology (UMaT), Ghana National Petroleum Corporation, GNPC Professorial Chair of the Department of Mining at the University of Mines and Technology (UMaT), Gold Fields Ghana Limited. Our news journalists obtained a quote from the research from Federation Universi ty Australia, "For flyrock throw distance prediction, velocity of detonation (VO D) and charge per bank cubic meter (CPBCM) are not usually included. This paper focuses on the use of support vector machine (SVM) regression to ascertain the i mpact of VOD and CPBCM on flyrock throw predictions. The machine learning models were linear support vector machine (LSVM), quadratic Gaussian support vector ma chine (QGSVM), fine Gaussian support vector machine (FGSVM), medium Gaussian sup port vector machine (MGSVM), and cubic Gaussian support vector machine (CGSVM). The outcome indicates that FGSVM was the most sensitive with a 4% improvement when VOD and CPBCM were included."
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 originating from Changsha, People's Republic of China, by NewsRx correspondents, research stated, "Accurate segmentation of CT images is crucial for clinical diagnosis and preoperative evaluation of robotic surgery, but challenges arise from fuzzy boundaries and small-sized targets. In response, a novel 2D segmentation network named Context Fusing Attentional Netwo rk (CFANet) is proposed." Our news journalists obtained a quote from the research from Hunan University, " CFANet incorporates three key modules to address these challenges, namely pyrami d fusing module (PFM), parallel dilated convolution module (PDCM) and scale atte ntion module (SAM). Integration of these modules into the encoder-decoder struct ure enables effective utilization of multi-level and multi-scale features. Compa red with advanced segmentation method, the Dice score improved by 2.14% on the dataset of liver tumor." According to the news editors, the research concluded: "This improvement is expe cted to have a positive impact on the preoperative evaluation of robotic surgery and to support clinical diagnosis, especially in early tumor detection."
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 Beijing, People's Republic of China, by NewsRx correspondents, research stated, "The po pularization of the internet and the widespread use of smartphones have led to a rapid growth in the number of social media users." Financial supporters for this research include National Key Research And Develop ment Program of China. Our news journalists obtained a quote from the research from University of Scien ce and Technology Beijing: "While information technology has brought convenience to people, it has also given rise to cyberbullying, which has a serious negativ e impact. The identity of online users is hidden, and due to the lack of supervi sion and the imperfections of relevant laws and policies, cyberbullying occurs f rom time to time, bringing serious mental harm and psychological trauma to the v ictims. The pre-trained language model BERT (Bidirectional Encoder Representatio ns from Transformers) has achieved good results in the field of natural language processing, which can be used for cyberbullying detection. In this research, we construct a variety of traditional machine learning, deep learning and Chinese pre-trained language models as a baseline, and propose a hybrid model based on a variant of BERT: XLNet, and deep Bi-LSTM for Chinese cyberbullying detection. I n addition, real cyber bullying remarks are collected to expand the Chinese offe nsive language dataset COLDATASET."
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 out of Nanjing, People's Repu blic of China, by NewsRx editors, research stated, "The magnetic properties of l ake sediments account for close relationships with heavy metal(loid)s (HMs), but little is known about their relationships with chemical fractions (CFs) of HMs. Establishing an effective workflow to predict HMs risk among various machine le arning (ML) methods in conjunction with magnetic measurement remains challenging ."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting out of Budapest, Hungary, by NewsRx editors, research stated, "Machine learning and speech emotion recogniti on are rapidly evolving fields, significantly impacting human-centered computing ." Our news editors obtained a quote from the research from Obuda University: "Mach ine learning enables computers to learn from data and make predictions, while sp eech emotion recognition allows computers to identify and understand human emoti ons from speech. These technologies contribute to the creation of innovative hum an-computer interaction (HCI) applications. Deep learning algorithms, capable of learning high-level features directly from raw data, have given rise to new emo tion recognition approaches employing models trained on advanced speech represen tations like spectrograms and time-frequency representations. This study introdu ces CNN and LSTM models with GWO optimization, aiming to determine optimal param eters for achieving enhanced accuracy within a specified parameter set." According to the news editors, the research concluded: "The proposed CNN and LST M models with GWO optimization underwent performance testing on four diverse dat asets-RAVDESS, SAVEE, TESS, and EMODB. The results indicated superior performanc e of the models compared to linear and kernelized SVM, with or without GWO optim izers."
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 out of Nanjing, People's Repu blic of China, by NewsRx editors, research stated, "The magnetic properties of l ake sediments account for close relationships with heavy metal(loid)s (HMs), but little is known about their relationships with chemical fractions (CFs) of HMs. Establishing an effective workflow to predict HMs risk among various machine le arning (ML) methods in conjunction with magnetic measurement remains challenging ." Our news journalists obtained a quote from the research from Nanjing University, "This study evaluated the simulation efficiency of nine ML methods in predictin g the risk assessment code (RAC) and ratio of the secondary and primary phases ( RSP) of HMs with magnetic parameters in sediment cores of a shallow lake. The se diment cores were collected and sliced, and the total amount and CFs of HMs, as well as magnetic parameters, were determined. Support vector machine (SVM) outpe rformed other models, as evidenced by coefficient of determination ® > 0.8. Interpretable machine learning (IML) methods were employed to identify key indicators of RAC and RSP among the magnetic parameters. Values of ch HIRM, ch, and ch/SIRM of sediments ranging in 220-500 x 10 m/kg, 30-40 x 10Am/kg, 15-25, and 0.5-1, respectively, indicated the potential ecological risks of Cd, Hg, and Sb."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news reporting from Vilnius, Lithuania, by NewsRx journali sts, research stated, "Ensuring RPA (robotic process automation) security is a c ritical aspect when developing and operating automated software robots." Our news reporters obtained a quote from the research from Vilnius Gediminas Tec hnical University: "One of the key steps for developing secure software robots i s the design stage: the identification and specification of the requirements for the security of the system, the description of system precedents, the interacti on between the classes involved in the robot being created, etc. Designs using s ecurity-oriented formal modeling languages, such as the UMLsec extension of UML, involve not only a visual representation of diagrams but also the possibility t o focus the attention on security issues. However, currently, in the scientific community, there is no possibility of using stereotypes specialized for robots-a mechanism for expanding the unified modeling language that would explicitly ref lect a specific problem in the subject area."
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 Zhanjiang, People's Republ ic of China, by NewsRx correspondents, research stated, "In this paper, a prescr ibed-time adaptive $H_{\ infty }$ cooperative strategy with novel prescribed p erformance and input quantization based on a leader state observer is proposed f or uncertain multiple robot manipulators." Financial supporters for this research include Key Project of The Department of Education of Guangdong Province; Shenzhen Science And Technology Program; Scienc e And Technology Planning Project of Zhanjiang City. Our news correspondents obtained a quote from the research from Guangdong Ocean University: "First, a novel prescribed performance function is introduced into t he asymmetric log-type barrier Lyapunov function, which can limit angle errors a nd reduce the loss of communication resources among multiple robot manipulators. Second, a new prescribed-time leader state estimation observer is proposed to e stimate the leader's state information and pass it to the other followers withou t acceleration information. Third, a prescribed-time adaptive command filter is designed to solve the ‘explosion of the complexity' problem and improves the con vergence performance of the control system. Fourth, an adaptive prescribed-time $H_ {\infty } $ cooperative controller with novel prescribed performance and inp ut quantization is designed." According to the news reporters, the research concluded: "Finally, simulation ex amples are presented to evaluate the stability of the proposed control system."
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 Birming ham, United Kingdom, by NewsRx journalists, research stated, "The Consolidated S tandards of Reporting Trials extension for Artificial Intelligence interventions (CONSORTAI) was published in September 2020. Since its publication, several ra ndomised controlled trials (RCTs) of AI interventions have been published but th eir completeness and transparency of reporting is unknown." The news reporters obtained a quote from the research from Birmingham and Midlan d Eye Centre, "This systematic review assesses the completeness of reporting of AI RCTs following publication of CONSORT-AI and provides a comprehensive summary of RCTs published in recent years. 65 RCTs were identified, mostly conducted in China (37%) and USA (18%). Median concordance with CO NSORT-AI reporting was 90% (IQR 77-94%), although onl y 10 RCTs explicitly reported its use. Several items were consistently under-rep orted, including algorithm version, accessibility of the AI intervention or code, and references to a study protocol. Only 3 of 52 included journals explicitly endorsed or mandated CONSORTAI. Despite a generally high concordance amongst re cent AI RCTs, some AI-specific considerations remain systematically poorly repor ted."
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