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    Data on Machine Learning Described by a Researcher at Daejeon University (ML- an d LSTM-Based Radiator Predictive Maintenance for Energy Saving in Compressed Air Systems)

    22-23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 Daejeon, South Korea, b y NewsRx journalists, research stated, "Air compressors are widely used in indus trial fields." Financial supporters for this research include Korea Institute of Energy Technol ogy Evaluation And Planning; Ministry of Trade, Industry & Energy (Motie) of The Republic of Korea. Our news journalists obtained a quote from the research from Daejeon University: "Compressed air systems aggregate air flows and then supply them to places of d emand. These huge systems consume a significant amount of energy and generate he at internally. Machine components in compressed air systems are vulnerable to he at, and, in particular, a radiator to cool the heat of the overall air compresso r is the core component. Dirty radiators increase energy consumption due to anom alous cooling. To reduce the energy consumption of air compressors, this mechani sm emphasizes a machine learning-based radiator fault detection, using features such as RPM, motor power, outlet pressure, air flow, water pump power, and outle t temperature with slight true fault labels."
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    Reports Outline Artificial Intelligence Study Findings from University of Almeri a (Point Cloud Deep Learning Solution for Hand Gesture Recognition)

    23-23页
    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 - Artificial Intelligence are discussed in a new report. According to news repor ting originating from Almeria, Spain, by NewsRx correspondents, research stated, "In the last couple of years, there has been an increasing need for Human-Compu ter Interaction (HCI) systems that do not require touching the devices to contro l them, such as ATMs, self service kiosks in airports, terminals in public offic es, among others. The use of hand gestures offers a natural alternative to achie ve control without touching the devices." Funders for this research include European Union (EU), Spanish Ministry of Econo my and Competitiveness (MINECO) under AEI Project. Our news editors obtained a quote from the research from the University of Almer ia, "This paper presents a solution that allows the recognition of hand gestures by analyzing three-dimensional landmarks using deep learning. These landmarks a re extracted by using a model created with machine learning techniques from a si ngle standard RGB camera in order to define the skeleton of the hand with 21 lan dmarks distributed as follows: one on the wrist and four on each finger. This st udy proposes a deep neural network that was trained with 9 gestures receiving as input the 21 points of the hand. One of the main contributions, that considerab ly improves the performance, is a first layer of normalization and transformatio n of the landmarks."
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    Findings in Robotics Reported from Dongguan University of Technology (Design of Human-machine Compatible Ankle Rehabilitation Robot Based On Equivalent Human An kle Model)

    24-24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 Robotics have been pr esented. According to news reporting originating in Dongguan, People's Republic of China, by NewsRx journalists, research stated, "In this letter, a humanmachi ne compatible ankle rehabilitation robot (HMCARR) is proposed to help stroke pat ients with motion dysfunction recover their motor function. The HMCARR can make the human ankle center-of-rotation (H-CoR) and the ankle rehabilitation robot ce nter-of-rotation (R-CoR) coincide in real-time." Financial support for this research came from Key Scientific Research Platforms and Projects of Guangdong Regular Institutions of Higher Education, China. The news reporters obtained a quote from the research from the Dongguan Universi ty of Technology, "The overall idea is to analyze from the ‘human' perspective t o the ‘human-machine' perspective, and then to the ‘machine' perspective. Firstl y, from the ‘human' perspective: a spherical-pair-with-clearance equivalent huma n ankle model and a H-CoR estimation model are proposed, and the motion range of the H-CoR is analyzed. Secondly, from the ‘ human-machine' perspective: to obta in the mechanical design principles of the HMCARR, degree-of-freedom (DOF) and k inematic analyses of the human-machine closed chain model are conducted. Finally , from the ‘machine' perspective: DOF, kinematics, singularity, sensitivity, and workspace analysis are performed for the HMCARR based on a 3-RRCRR parallel mec hanism, where R and C represent a revolute pair and a cylindrical pair, respecti vely. This study indicates that the mechanical design principles of the HMCARR i nclude three requirements for the DOFs, kinematic independence, and position wor kspace."
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    Research Conducted at Universidad de Playa Ancha Has Updated Our Knowledge about Artificial Intelligence (Decolonize Planetary Scale Computation. Artificial Int elligence and Planetarity In the Anthropocene)

    25-25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 originating in Valparaiso, Ch ile, by NewsRx editors, the research stated, "This article proposes to analyze s ome of the main theoretical discussions about the ‘planetary-scale computation' that have multiplied in the field of humanities and social sciences during the l ast decade. One of the main theses at stake in these debates is the consideratio n of artificial intelligence as an extractive industry that operates globally, m ainly exploiting natural resources, big data, and workforce." The news reporters obtained a quote from the research from Universidad de Playa Ancha, "After reviewing the main elements and perspectives on this thesis, we es tablish different links between largescale computing and the configuration of a new colonial regime that crosses the political, economic and cultural dynamics of contemporary societies. Faced with this, we propose that a theoretical counte rpoint to computational colonialism can be found in the ‘planetary turn' that th e humanities and social sciences have experienced. Embracing ‘planetarity' think ing will then allow us to critically address the role of large-scale computation in the midst of the Anthropocene crisis."
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    New Findings on Artificial Intelligence from University of Toronto Summarized (E valuating Chatgpt On Orbital and Oculofacial Disorders: Accuracy and Readability Insights)

    25-26页
    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 reporting originating from Toronto, Canada, by NewsRx correspondents, research stated, "To assess the accuracy and readabili ty of responses generated by the artificial intelligence model, ChatGPT (version 4.0), to questions related to 10 essential domains of orbital and oculofacial d isease. A set of 100 questions related to the diagnosis, treatment, and interpre tation of orbital and oculofacial diseases was posed to ChatGPT 4.0." Our news editors obtained a quote from the research from the University of Toron to, "Responses were evaluated by a panel of 7 experts based on appropriateness a nd accuracy, with performance scores measured on a 7-item Likert scale. Inter-ra ter reliability was determined via the intraclass correlation coefficient. The a rtificial intelligence model demonstrated accurate and consistent performance ac ross all 10 domains of orbital and oculofacial disease, with an average appropri ateness score of 5.3/6.0 (‘mostly appropriate' to ‘completely appropriate'). Dom ains of cavernous sinus fistula, retrobulbar hemorrhage, and blepharospasm had t he highest domain scores (average scores of 5.5 to 5.6), while the proptosis dom ain had the lowest (average score of 5.0/6.0). The intraclass correlation coeffi cient was 0.64 (95% CI: 0.52 to 0.74), reflecting moderate inter-r ater reliability. The responses exhibited a high reading-level complexity, repre senting the comprehension levels of a college or graduate education. This study demonstrates the potential of ChatGPT 4.0 to provide accurate information in the field of ophthalmology, specifically orbital and oculofacial disease. However, challenges remain in ensuring accurate and comprehensive responses across all di sease domains. Future improvements should focus on refining the model's correctn ess and eventually expanding the scope to visual data interpretation. Our result s highlight the vast potential for artificial intelligence in educational and cl inical ophthalmology contexts."
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    Findings from Chinese Academy of Sciences Provide New Insights into Machine Lear ning (Integrating Machine Learning Ensembles for Landslide Susceptibility Mappin g in Northern Pakistan)

    26-27页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting out of Wuhan, People's R epublic of China, by NewsRx editors, research stated, "Natural disasters, notabl y landslides, pose significant threats to communities and infrastructure." Financial supporters for this research include Prince Sattam Bin Abdulaziz Unive rsity. The news journalists obtained a quote from the research from Chinese Academy of Sciences: "Landslide susceptibility mapping (LSM) has been globally deemed as an effective tool to mitigate such threats. In this regard, this study considers t he northern region of Pakistan, which is primarily susceptible to landslides ami d rugged topography, frequent seismic events, and seasonal rainfall, to carry ou t LSM. To achieve this goal, this study pioneered the fusion of baseline models (logistic regression (LR), K-nearest neighbors (KNN), and support vector machine (SVM)) with ensembled algorithms (Cascade Generalization (CG), random forest (R F), Light Gradient-Boosting Machine (LightGBM), AdaBoost, Dagging, and XGBoost). With a dataset comprising 228 landslide inventory maps, this study employed a r andom forest classifier and a correlation-based feature selection (CFS) approach to identify the twelve most significant parameters instigating landslides. The evaluated parameters included slope angle, elevation, aspect, geological feature s, and proximity to faults, roads, and streams, and slope was revealed as the pr imary factor influencing landslide distribution, followed by aspect and rainfall with a minute margin. The models, validated with an AUC of 0.784, ACC of 0.912, and K of 0.394 for logistic regression (LR), as well as an AUC of 0.907, ACC of 0.927, and K of 0.620 for XGBoost, highlight the practical effectiveness and po tency of LSM."
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    Findings from Sorbonne University Update Knowledge of Robotics (Adaptive Asynchr onous Control Using Meta-learned Neural Ordinary Differential Equations)

    27-28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 reporting out of Paris, France, by NewsRx edi tors, research stated, "Model-based reinforcement learning and control have demo nstrated great potential in various sequential decision making problem domains, including in robotics settings. However, real-world robotics systems often prese nt challenges that limit the applicability of those methods."
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    State University of Campinas - UNICAMP Reports Findings in Erectile Dysfunction (Erectile dysfunction criteria of 131,350 patients after open, laparoscopic, and robotic radical prostatectomy)

    28-29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 Genital Diseases and C onditions - Erectile Dysfunction is the subject of a report. According to news o riginating from Campinas, Brazil, by NewsRx correspondents, research stated, "Co mparing post-radical prostatectomy erectile function rates among different techn iques has always been a challenge in urology. This difficulty is due to the hete rogeneity of studies, mainly in relation to the type of erectile function classi fication criteria used." Our news journalists obtained a quote from the research from the State Universit y of Campinas - UNICAMP, "The aim is to apply a new evidence-gathering methodolo gy, called reverse systematic review, to compare erectile function rates among r etropubic radical prostatectomy, laparoscopic radical prostatectomy, and robot-a ssisted radical prostatectomy, considering the diversity of classification crite ria. A search was carried out in eight databases between 2000 and 2020 through s ystematic review studies referring to retropubic radical prostatectomy, laparosc opic radical prostatectomy, or robot-assisted radical prostatectomy (80 systemat ic reviews). All references used in these systematic reviews were captured by re ferring to 910 papers in a global database called EVIDENCE. A total of 268 studi es related to postprostatectomy erectile function rates were selected for the f inal analysis, totaling 465 cohorts or reports referring to 131,350 patients. No te that, 119 (25.6%) reports for retropubic radical prostatectomy, 143 (30.7%) reports for laparoscopic radical prostatectomy, and 203 (43.7%) reports for robot-assisted radical prostatectomy were foun d. Mean overall erectile function rates, respectively for retropubic radical pro statectomy, laparoscopic radical prostatectomy, and robot-assisted radical prost atectomy, were: 16%, 12 %, and 35% at 1 m onth, 22%, 26%, and 42% in 3 months; 30% , 44%, and 54% at 6 months, 41%, 55 % , and 59% at 12 months, and 58%, 52%, an d 67% at more than 18 months. The most used erectile function crit erion was Erection Sufficient for Intercourse (74.1%), followed by Sexual Health Inventory for Men > 21 (5.5%) , and Sexual Health Inventory for Men > 16 (3.7% ). Erection Sufficient for Intercourse showed the lowest discrepancy in erectile function rates in each period compared to the global average, for each techniqu e, demonstrating less ability to influence the final results, favoring any of th e techniques. The reverse systematic review demonstrated that the robot-assisted radical prostatectomy showed higher rates of erectile function recovery at all times analyzed (1- >18 months), in relation to the retro pubic radical prostatectomy and laparoscopic radical prostatectomy."
      原文链接:
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    Researchers from Chongqing University Report Recent Findings in Machine Learning (Explainable Machine Learning-based Prediction for Aerodynamic Interference of a Low-rise Building On a High-rise Building)

    29-30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 Machine Learning have been presented. According to news reporting from Chongqing, People's Republic o f China, by NewsRx journalists, research stated, "Interference effects between b uildings may significantly change the wind pressure distribution on building fac ades and cause severe safety problems. In this study, a two-stage machine learni ng-based method was employed to investigate the interference effects of a low-ri se building on a high-rise building." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of Education, China - 111 Project, Graduate researc h and innovation foundation of Chongqing, China, Natural Science Foundation of C hongqing, Fundamental Research Funds for the Central Universities.
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    Findings from Institute of Mineral Resources Reveals New Findings on Machine Lea rning (Mineral Prospectivity Mapping Using Machine Learning Techniques for Gold Exploration In the Larder Lake Area, Ontario, Canada)

    30-31页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting from Beijing, People's Republic of China , by NewsRx journalists, research stated, "A mineral prospectivity map (MPM) foc using on gold mineralization in the Larder Lake region of Northern Ontario, Cana da, has been produced in this study. We have used the Random Forest (RF) algorit hm to use 32 predictor maps integrating geophysical, geochemical, and geological datasets from various sources that represent vectors to gold mineralization." Financial support for this research came from Canada First Research Excellence F und (CFREF). The news correspondents obtained a quote from the research from the Institute of Mineral Resources, "It is evident from the efficiency of classification curves that MPMs generated are robust. The unsupervised algorithms, K -means and princi pal component analysis (PCA) were used to investigate and visualize the clusteri ng nature of large geochemical and geophysical datasets. We used RQ-mode PCA to compute variable and object loadings simultaneously, which allows the displays o f observations and the variables at the same scale. PCA biplots of the Larder La ke geochemical data show that Au is strongly correlated with W, S, Pb and K, but inversely correlated with Fe, Mn, Co, Mg, Ca, and Ni. The known gold mineraliza tion locations were well classified by RF with the accuracy of 95.63 % . Furthermore, partial least squares -discriminant analysis (PLS-DA) model combi nes 3D geophysical clusters and geochemical compositions, which indicates the Au -rich areas are characterized with low to mid resistivity - low susceptibility properties. We conclude that the Larder Lake -Cadillac deformation zone (LLCDZ) is relatively more fertile than the Lincoln-Nipissing shear zone (LNSZ) with res pect to gold mineralization due to deeper penetrating faults. The intersection o f the LLCDZ and network of high -angle NE -trending cross faults acts as key con duits for gold endowments in the Larder Lake area."
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