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    New Research on Machine Learning from Sichuan University Summarized (Machine Lea rning-Based Estimation of Daily Cropland Evapotranspiration in Diverse Climate Z ones)

    47-48页
    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 from Chengdu, People's Repub lic of China, by NewsRx journalists, research stated, "The accurate prediction o f cropland evapotranspiration (ET) is of utmost importance for effective irrigat ion and optimal water resource management." Financial supporters for this research include National Natural Science Foundati on of China; Fundamental Research Funds For The Central Universities; Sichuan Sc ience And Technology Program. Our news reporters obtained a quote from the research from Sichuan University: " To evaluate the feasibility and accuracy of ET estimation in various climatic co nditions using machine learning models, three-, six-, and nine-factor combinatio ns (V3, V6, and V9) were examined based on the data obtained from global croplan d eddy flux sites and Moderate Resolution Imaging Spectroradiometer (MODIS) remo te sensing data. Four machine learning models, random forest (RF), support vecto r machine (SVM), extreme gradient boosting (XGB), and backpropagation neural net work (BP), were used for this purpose. The input factors included daily mean air temperature (Ta), net radiation (Rn), soil heat flux (G), evaporative fraction (EF), leaf area index (LAI), photosynthetic photon flux density (PPFD), vapor pr essure deficit (VPD), wind speed (U), and atmospheric pressure (P). The four mac hine learning models exhibited significant simulation accuracy across various cl imate zones, reflected by their global performance indicator (GPI) values rangin g from -3.504 to 0.670 for RF, -3.522 to 1.616 for SVM, -3.704 to 0.972 for XGB, and -3.654 to 1.831 for BP. The choice of suitable models and the different inp ut factors varied across different climatic regions. Specifically, in the temper ate-continental zone (TCCZ), subtropical-Mediterranean zone (SMCZ), and temperat e zone (TCZ), the models of BPC-V9, SVMS-V6, and SVMT-V6 demonstrated the highes t simulation accuracy, with average RMSE values of 0.259, 0.373, and 0.333 mm d- 1, average MAE values of 0.177, 0.263, and 0.248 mm d-1, average R2 values of 0. 949, 0.819, and 0.917, and average NSE values of 0.926, 0.778, and 0.899, respec tively."
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    Data on Artificial Intelligence Reported by Ana Milena Doria-Martinez and Collea gues (Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs-a systematic review)

    48-48页
    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 originating from Medellin, Colom bia, by NewsRx correspondents, research stated, "The aim of this systematic revi ew is to analyze the literature to determine whether the methods of artificial i ntelligence are effective in determining age in panoramic radiographs. Searches without language and year limits were conducted in PubMed/Medline, Embase, Web o f Science, and Scopus databases." Our news journalists obtained a quote from the research, "Hand searches were als o performed, and unpublished manuscripts were searched in specialized journals. Thirty-six articles were included in the analysis. Significant differences in te rms of root mean square error and mean absolute error were found between manual methods and artificial intelligence techniques, favoring the use of artificial i ntelligence (p <0.00001). Few articles compared deep learn ing methods with machine learning models or manual models. Although there are ad vantages of machine learning in data processing and deep learning in data collec tion and analysis, non-comparable data was a limitation of this study." According to the news editors, the research concluded: "More information is need ed on the comparison of these techniques, with particular emphasis on time as a variable."
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    New Findings in Robotics Described from Beijing Jiaotong University (Prescribed- time Control of Four-wheel Independently Driven Skid-steering Mobile Robots With Prescribed Performance)

    49-49页
    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 Robotics have been published. According to news originating from Beijing, People's Republic o f China, by NewsRx correspondents, research stated, "This paper investigates the trajectory tracking control problem of a four-wheel independently driven skid-s teering mobile robot (FWID-SSMR) while considering friction resistance, paramete r variation and external disturbances. Unlike previous studies that only achieve d stable tracking control of FWID-SSMR, this paper accomplishes prescribed stead y-state and transient performance." Financial support for this research came from Ministry of Education Research in the Humanities and Social Sciences Planning fund. Our news journalists obtained a quote from the research from Beijing Jiaotong Un iversity, "Based on the dynamic model of FWID-SSMR, an integer-order prescribed- time controller (IOPTC) is developed first, which can make the tracking errors c onverge to a predetermined residual set with a preset convergence rate in a pres cribed time. Motivated by it, a fractional-order prescribed-time controller (FOP TC) is developed by exploiting the genetic attenuation properties of fractional calculus (FC) for improving the control performance. The feasibility and effecti veness of the developed controller are verified by Lyapunov theoretical analysis and numerical simulation studies. The simulation results show that both the IOP TC and FOPTC outperform the feedback controller (FBC)."
      原文链接:
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    Reports Summarize Machine Learning Research from Maharashtra (Customer churn pre diction in telecom sector using machine learning techniques)

    50-50页
    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 out of Maharashtra, India, by NewsRx editors, research stated, "In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base." The news reporters obtained a quote from the research from Department of Compute r Engineering: "Here, getting a new customer base is costlier than holding the c urrent customers where churn is the process of customers switching from one firm to another in a given stipulated time. Telecom management and analysts are find ing the explanations behind customers leaving subscriptions and behavior activit ies of the holding churn customers' data. This system uses classification techni ques to find out the leave subscriptions and collects the reasons behind the lea ve subscription of customers in the telecom industry. The major goal of this sys tem is to analyze the diversified machine learning algorithms which are required to develop customer churn prediction models and identify churn reasons in order to give them with retention strategies and plans. In this system, leave subscri ptions collects customers' data by applying classification algorithms such as Ra ndom Forest (RF), machine learning techniques such as KNN and decision tree Clas sifier. It offers an efficient business model that analyzes customer churn data and gives accurate predictions of churn customers so that business management ma y take action within the churn period to stop churn as well as loss in profit."
      原文链接:
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    New Machine Learning Data Have Been Reported by Researchers at Chuo University ( Construction of Motion Mode Switching System by Machine Learning for Peristaltic Mixing Conveyor Based on Intestinal Movement)

    51-51页
    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 artificial in telligence have been published. According to news reporting out of Bunkyo ku, Ja pan, by NewsRx editors, research stated, "The high frequency of rocket launches requires low-cost solid rocket fuel. Currently, the fuel manufacturing process f aces increased launch costs caused by the risk of ignition from rotary mixers an d increased equipment and labor costs from batch processes in which mixing and c onveying are separated." Funders for this research include Japan Society For The Promotion of Science Kak enhi Grant-in-aid For Scientific Research on Innovative Areas Through Ministry o f Education, Culture, Sports, Science And Technology of Japan; Chuo University R esearch And Development Initiative. Our news correspondents obtained a quote from the research from Chuo University: "Therefore, this paper proposes and verifies an automatic switching system betw een mixing and conveying modes for a peristaltic mixing conveyor that enables sa fe and continuous mixing and conveying of solid fuel. In a previous study, peris taltic mixing conveyor with low shear force was developed and successfully produ ced solid fuel. However, there was room for improvement for more efficient fuel production because the device was controlled by pre-determined driving pattern. The actual intestine generates movement autonomously by enteric nerves. Therefor e, the development of a sensing function that imitates the enteric nervous syste m and generates movement patterns based on the acquired data is expected to impr ove manufacturing efficiency. In this study, the sensor data of a mixed solid fu el simulant packaged in a bag were acquired, and the degree of mixing (unmixed a nd mixed completely) was discriminated using supervised learning (the k-nearest neighbor method)."
      原文链接:
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    University of Lisbon Researcher Details New Studies and Findings in the Area of Support Vector Machines (Effect of Sampling Rate in Sea Trial Tests on the Estim ation of Hydrodynamic Parameters for a Nonlinear Ship Manoeuvring Model)

    52-52页
    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 Lisbon, Portugal, by NewsRx journalists, research stated, "This paper explores the impact of sampling rates during sea trials on the estimation of hydrodynamic parameters in a nonlinear manoeuvring m odel." Financial supporters for this research include Portuguese Foundation For Science And Technology; Fct. The news editors obtained a quote from the research from University of Lisbon: " Sea trials were carried out using an offshore patrol vessel and test data were c ollected. A nonlinear manoeuvring model is introduced to characterise the ship's manoeuvring motion, and the truncated least squares support vector machine is e mployed to estimate nondimensional hydrodynamic coefficients and their correspon ding uncertainties using the 25°-25° zigzag test. To assess the influence of the sampling rates, the training set is resampled offline with 14 sampling rates, r anging from 0.2 Hz to 5 Hz, encompassing a rate 10 times the highest frequency c omponent of the signal of interest. The results show that the higher sampling ra te can significantly diminish the parameter uncertainty." According to the news editors, the research concluded: "To obtain a robust estim ation of linear and nonlinear hydrodynamic coefficients, the sampling rate shoul d be higher than 10 times the highest frequency component of the signal of inter est, and 3-5 Hz is recommended for the case in this paper. The validation is als o carried out, which indicates that the proposed truncated least square support vector machine can provide a robust parameter estimation."
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    Capital Medical University Reports Findings in Prostatectomy (Is there any diffe rence in urinary continence between bilateral and unilateral nerve sparing durin g radical prostatectomy? A systematic review and meta-analysis)

    53-54页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery-Prostatectom y is the subject of a report. According to news reporting originating in Beijing, People's Republic of China, by NewsRx journalists, research stated, "In men wi th prostate cancer, urinary incontinence is one of the most common long-term sid e effects of radical prostatectomy (RP). The recovery of urinary continence in p atients is positively influenced by preserving the integrity of the neurovascula r bundles (NVBs)." Financial support for this research came from National Natural Science Foundatio n of China. The news reporters obtained a quote from the research from Capital Medical Unive rsity, "However, it is still unclear if bilateral nerve sparing (BNS) is superio r to unilateral nerve sparing (UNS) in terms of post- RP urinary continence. The aim of this study is to systematically compare the differences in post-RP urinar y continence outcomes between BNS and UNS. The electronic databases of PubMed an d Web of Science were comprehensively searched. The search period was up to May 31, 2023. English language articles comparing urinary continence outcomes of pat ients undergoing BNS and UNS radical prostatectomy were included. Meta-analyses were performed to calculate pooled relative risk (RR) estimates with 95% confidence intervals for urinary continence in BNS and UNS groups at selected fo llow-up intervals using a random-effects model. Sensitivity analyses were perfor med in prospective studies and robotic-assisted RP studies. A meta-analysis was conducted using data from 26,961 participants in fifty-seven studies. A meta-ana lysis demonstrated that BNS improved the urinary continence rate compared to UNS at all selected follow-up points. RRs were 1.36 (1.14-1.63; p = 0.0007) at 1.5 months (mo), 1.28 (1.08-1.51; p = 0.005) at 3-4 mo, 1.12 (1.03-1.22; p = 0.01) a t 6 mo, 1.08 (1.05-1.12; p<0.00001) at 12 mo, and 1.07 (1. 00-1.13; p = 0.03) at 24 mo, respectively. With the extension of the follow-up t ime, RRs decreased from 1.36 to 1.07, showing a gradual downward trend. Pooled e stimates were largely heterogeneous. Similar findings were obtained through sens itivity analyses of prospective studies and robotic-assisted RP studies. The fin dings of this meta-analysis demonstrate that BNS yields superior outcomes in ter ms of urinary continence compared to UNS, with these advantages being sustained for a minimum duration of 24 months. It may be due to the real effect of saving the nerves involved."
      原文链接:
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    Nanjing Medical University Affiliated Cancer Hospital Reports Findings in Solita ry Pulmonary Nodule (Dual-layer detector spectral CT-based machine learning mode ls in the differential diagnosis of solitary pulmonary nodules)

    54-55页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Lung Diseases and Cond itions-Solitary Pulmonary Nodule is the subject of a report. According to news originating from Nanjing, People's Republic of China, by NewsRx correspondents, research stated, "The benign and malignant status of solitary pulmonary nodules (SPNs) is a key determinant of treatment decisions." Our news journalists obtained a quote from the research from Nanjing Medical Uni versity Affiliated Cancer Hospital, "The main objective of this study was to val idate the efficacy of machine learning (ML) models featured with dual-layer dete ctor spectral computed tomography (DLCT) parameters in identifying the benign an d malignant status of SPNs. 250 patients with pathologically confirmed SPN were included in this study. 8 quantitative and 16 derived parameters were obtained b ased on the regions of interest of the lesions on the patients' DLCT chest enhan cement images. 6 ML models were constructed from 10 parameters selected after co mbining the patients' clinical parameters, including gender, age, and smoking hi story. The logistic regression model showed the best diagnostic performance with an area under the receiver operating characteristic curve (AUC) of 0.812, accur acy of 0.813, sensitivity of 0.750 and specificity of 0.791 on the test set." According to the news editors, the research concluded: "The results suggest that the ML models based on DLCT parameters are superior to the traditional CT param eter models in identifying the benign and malignant nature of SPNs, and have gre ater potential for application."
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    Shanghai University Reports Findings in Robotics (Multimodal Sensors Enabled Aut onomous Soft Robotic System with Self-Adaptive Manipulation)

    55-55页
    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 Shanghai, People's Rep ublic of China, by NewsRx journalists, research stated, "Human hands are amazing ly skilled at recognizing and handling objects of different sizes and shapes. To date, soft robots rarely demonstrate autonomy equivalent to that of humans for fine perception and dexterous operation." The news reporters obtained a quote from the research from Shanghai University, "Here, an intelligent soft robotic system with autonomous operation and multimod al perception ability is developed by integrating capacitive sensors with triboe lectric sensor. With distributed multiple sensors, our robot system can not only sense and memorize multimodal information but also enable an adaptive grasping method for robotic positioning and grasp control, during which the multimodal se nsory information can be captured sensitively and fused at feature level for cro ssmodally recognizing objects, leading to a highly enhanced recognition capabili ty." According to the news reporters, the research concluded: "The proposed system, c ombining the performance and physical intelligence of biological systems (i.e., self-adaptive behavior and multimodal perception), will greatly advance the inte gration of soft actuators and robotics in many fields."
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    Researchers from Hebei University of Technology Describe Findings in Robotics (D eep learning-based semantic segmentation of human features in bath scrubbing rob ots)

    56-57页
    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 out of Tianjin, People's Republic of China, by NewsRx editors, research stated, "With the rise in the aging population, an increase in the number of semidisabled elderly individuals has been noted, lead ing to notable challenges in medical and healthcare, exacerbated by a shortage o f nursing staff." Financial supporters for this research include National Key Research And Develop ment Program of China. The news reporters obtained a quote from the research from Hebei University of T echnology: "This study aims to enhance the human feature recognition capabilitie s of bath scrubbing robots operating in a water fog environment. The investigati on focuses on semantic segmentation of human features using deep learning method ologies. Initially, 3D point cloud data of human bodies with varying sizes are g athered through light detection and ranging to establish human models. Subsequen tly, a hybrid filtering algorithm was employed to address the impact of the wate r fog environment on the modeling and extraction of human regions. Finally, the network is refined by integrating the spatial feature extraction module and the channel attention module based on PointNet. The results indicate that the algori thm adeptly identifies feature information for 3D human models of diverse body s izes, achieving an overall accuracy of 95.7%."
      原文链接:
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