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 from Madrid, Spain, by NewsRx journalists, research stated, "Next-generation mobile networks will rely on the ir autonomous operation. Virtual Network Functions empowered by Artificial Intel ligence (AI) and Machine Learning (ML) can adapt to varying environments that en compass both network conditions and the cloud platform executing them." Financial support for this research came from University Carlos III of Madrid fu nded by European Union's Horizon-Smart Networks and Services Joint Undertaking ( SNS JU)-2022 Research and Innovation Programme Project TrialsNet. The news correspondents obtained a quote from the research from IMDEA Networks I nstitute, "In this view, it becomes paramount to understand why AI/ML algorithms made a decision, to be able to reason upon those decisions and, eventually, tak e further decisions related to e.g., network orchestration. In this paper, we pr esent ATHENA, an ML-based radio resource scheduler for virtualized Radio Access Network (RAN) system. Our real-software implementation shows that the proposed M L-based approach can outperform the baseline solution."
查看更多>>摘要：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 originating from Jinan, People's Republic of China, by NewsRx correspondents, research stated, "In this paper, a double-lo op control method is proposed to improve the trajectory tracking performance of a wheeled mobile robot (WMR) with slippage properties and external disturbances. Considering the strong robustness and the ability to enable the system to conve rge in a short time, the predefined-time sliding mode control (PTSMC) strategy i s applied to the design of a double-loop controller." Financial support for this research came from Research Project of Shandong Const ruction Machinery Intelligent Equipment Innovation and Entrepreneurship Communit y. Our news editors obtained a quote from the research from the University of Jinan , "Furthermore, a nonlinear disturbance observer (NDO) is adopted to comply with the feedforward compensation of the external disturbances. In turn, the control ler only needs to deal with the internal disturbance of the system under the pre mise of using the NDO, thereby reducing the burden of the sliding mode controlle r. Based on Lyapunov methods, the stability of the double-loop controller and th e NDO is analyzed."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Breast Canc er is the subject of a report. According to news reporting out of Jakarta, Indon esia, by NewsRx editors, research stated, "Indonesian civilization extensively u ses traditional medicine to cure illnesses and preserve health. The lack of know ledge on the security and efficacy of medicinal plants is still a significant co ncern." Our news journalists obtained a quote from the research from National Research a nd Innovation Agency, "Although the precise chemicals responsible for this impac t are unknown, ginger is a common medicinal plant in Southeast Asia that may hav e anticancer qualities. Using data from Dudedocking, a machine-learning model wa s created to predict possible breast anticancer chemicals from ginger. The model was used to forecast substances that block KIT and MAPK2 proteins, essential el ements in breast cancer. Beta-carotene, 5-Hydroxy-74'-dimethoxyflavone, [12]-Shogaol, Isogingerenone B, curcumin, Trans- [10]-Shogaol, Gingerenone A, Dihydrocurcumin, and demethoxycur cumin were all superior to the reference ligand for MAPK2, according to molecula r docking studies. Lycopene, [8]-Shogaol, [6]-Shogaol, and [1] -Paradol exhibited low toxicity and no Lipinski violations, but beta carotene ha d toxic predictions and Lipinski violations. It was anticipated that all three s ubstances would have anticarcinogenic qualities."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Robotics. A ccording to news reporting originating from Hebei, People's Republic of China, b y NewsRx correspondents, research stated, "Challenges/shortages of existing rese arch: Both a topology graph TG and a contracted graph CG are the important tool for the type synthesis of mechanisms and have been studied. Let (b, t, q, p, h) be (binary, ternary, quaternary, pentagonal, hexagonal) link, respectively." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Hebei Province.
查看更多>>摘要：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 originating from the Univer sity of Bonn by NewsRx correspondents, research stated, "Large language models ( LLMs) have significantly advanced natural language processing, but their progres s has yet to be equal across languages." Financial supporters for this research include Conselho Nacional De Desenvolvime nto Cientifico E Tecnologico; Fapergs. Our news reporters obtained a quote from the research from University of Bonn: " While most LLMs are trained in high-resource languages like English, multilingua l models generally underperform monolingual ones. Additionally, aspects of their multilingual foundation sometimes restrict the byproducts they produce, like co mputational demands and licensing regimes. In this study, we document the develo pment of openfoundation models tailored for use in low-resource settings, their limitations, and their benefits. This is the TeenyTinyLlama pair: two compact m odels for Brazilian Portuguese text generation."
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 out of Melaka, Malaysia, by NewsRx ed itors, research stated, "The objective of this research is to simulate an automa tic fuelling system using a PLC LogixPro simulation. The system includes the ‘FA SS' concept, which is Fast, Accurate, Safe and Simple, to allow car users to hav e an efficient fuel filling system."
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 reporting originating from Florianopoli s, Brazil, by NewsRx correspondents, research stated, "Data extracted directly f rom a vehicle's electronic control unit (ECU) play a crucial role in the automot ive industry because they contain valuable information from the engine and elect ronic parts." Financial supporters for this research include Fundacao De Desenvolvimento Da Pe squisa-fundep Rota 2030/LINHA V. The news reporters obtained a quote from the research from Federal University of Santa Catarina: "These data have the potential to enable compliance analysis, d etect faults and errors, and guarantee driver and car safety as well as product quality. Among the possible uses of the data from the ECUs, driving profile anal ysis and fuel consumption prediction stand out, which enable analyses for insure rs and transportation companies, and help to reduce fuel consumption and greenho use gases, in addition to providing feedback to the driver. In this work, we app ly machine learning algorithms to real data from an engine ECU to examine the dr iver's driving behavior and accurately classify their fuel efficiency. Moreover, we develop regression models that predict fuel consumption for vehicles in oper ation. To ensure the effectiveness of our models, we carefully select variables strongly correlated with fuel consumption using a feature selection process. Com pared to related works, both our profile classification results in precision, re call, and accuracy metrics, and our regression models result in the metrics of m ean square errors, mean absolute error, and coefficient of determination, which are superior or similar."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting from Haryana, India, by NewsRx journalists, research stated, "Microservices has become a buzzword in industry as many large IT giants such as Amazon, Twitter, Uber, etc have started migrating their existing applications to this new style and few of them have st arted building their new applications with this style. Due to increasing user re quirements and the need to add more business functionalities to the existing app lications, the web applications designed using the microservices style also face a few performance challenges."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Machine Learning. According to news originating from Haryana, India, by NewsRx correspondents, res earch stated, "This study aims to develop a multidisciplinary artificial hybrid machine learning (AHML) approach to reduce the scanning time (ST) of the human w rist and improve the accuracy of 3D scanning for anthropometric data collection. A systematic AHML approach was deployed to scan the human wrist distal end opti mally using a portable SENSE 2.0 3D scanner." Financial support for this research came from Maharshi Dayanand University. Our news journalists obtained a quote from the research from Maharshi Dayanand U niversity, "A central composite design (CCD) matrix was developed for three inpu t variables; light intensity (LI = 12-20 W/m2), capture angle (CA = 10 degrees-5 0 degrees), and scanning distance (SD = 10-20 inches) for executing the experime ntal runs. For accuracy evaluation, the wrist perimeter on the distal end was ch ecked using CREO Parametric software for wrist perimeter error (WPE). Various AH ML tools were developed using: response surface methodology (RSM), multi-objecti ve genetic algorithm RSM, and multiobjective genetic algorithm neural networkin g (MOGANN). The optimal process parameters recommended by the hybrid tools were experimentally validated for their prediction accuracy. The MOGANN approach comb ined with the Bayesian regularization algorithm (trainabr) provided the best mut ual combination of optimal ST = 20.072 sec and WPE = 0.375 cm corresponding to L I = 12.001 W/m2, CA = 29.428 degrees, and SD = 18.214 inch, with a significant p ercentage reduction of 55.83% in WPE."
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 co mputational intelligence. According to news reporting from Inner Mongolia, Peopl e's Republic of China, by NewsRx journalists, research stated, "Most of the imag es encountered in daily life are color images, yet grayscale remains prevalent i n many fields due to its reduced data size and simplified operations. When reduc ing the dimensions of a three-channel color image to a single-channel grayscale, a portion of the original color information is inevitably lost." Funders for this research include National Natural Science Foundation of China; Natural Science Foundation of The Inner Mongolia Autonomous Region; Universities Directly Under The Inner Mongolia Autonomous Region. Our news editors obtained a quote from the research from Inner Mongolia Universi ty of Technology: "To yield high-quality grayscale images, this study introduces a color-to-gray conversion method based on chroma difference. This method defin es a novel color distance metric for color-to-grayscale conversion, incorporatin g pixel chromaticity differences alongside brightness variations. The discrepanc y in gray pixel values in the output grayscale image effectively mirrors the ove rall differences among input color image pixels. Optimization is conducted using the conjugate gradient method, ensuring appropriate reflection of luminance inf ormation from the input image and chromaticity data from the original color imag e within the grayscale rendering. Experimental validation confirms the efficacy of this approach. However, as the method accounts for all pixel pairs, it occasi onally considers unnecessary pairs, leading to potential distortion in color dif ferences between pixels and consequent inadequacies in chromaticity variation."
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