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    New Findings in Machine Learning Described from Indian Institute of Technology ( IIT) Kharagpur (Geographical Origin Identification of Red Chili Powder Using Nir Spectroscopy Combined With Simca and Machine Learning Algorithms)

    50-51页
    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 reporting originating in Kharagpur, India, by NewsRx journalis ts, research stated, “Knowing the geographical origins of chili papers produced in specific areas is crucial because the geographical origins of various varieti es of chili powder have a significant impact on their quality and price. In this research, for the first time, NIR (near-infrared) spectroscopy was used for the identification and classification of the geographical origin of chili powder of 6 different varieties, combining the method of PCA (principal component analysi s) to extract relevant spectral features from the spectral data and segregate vi sible cluster trends, SIMCA (soft independent modeling of class analogy) statist ically based classification model, and the four machine learning (ML) classifier s, including K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM), were applied for supervised classification.”

    New Findings from University of Alabama in the Area of Machine Learning Describe d (Urban Flood Susceptibility Mapping Using Frequency Ratio and Multiple Decisio n Tree-based Machine Learning Models)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Tuscaloosa, Alabama, by NewsRx journalists, research stated, “Machine learning (ML) models, particularl y decision tree (DT)-based algorithms, are being increasingly utilized for flood susceptibility mapping. To evaluate the advantages of DT-based ML models over t raditional statistical models on flood susceptibility assessment, a comparative study is needed to systematically compare the performances of DT- based ML model s with that of traditional statistical models.”

    Findings from University of Birmingham Broaden Understanding of Field Robotics ( An Online Hyper-volume Action Bounding Approach for Accelerating the Process of Deep Reinforcement Learning From Multiple Controllers)

    52-53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 - Field Robot ics is the subject of a report. According to news reporting originating from Bir mingham, United Kingdom, by NewsRx correspondents, research stated, “This paper fuses ideas from reinforcement learning (RL), Learning from Demonstration (LfD), and Ensemble Learning into a single paradigm. Knowledge from a mixture of contr ol algorithms (experts) are used to constrain the action space of the agent, ena bling faster RL refining of a control policy, by avoiding unnecessary explorativ e actions.”

    Studies from Beijing Institute of Technology Update Current Data on Robotics (Im proving World Models for Robot Arm Grasping With Backward Dynamics Prediction)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics is the subject of a repo rt. According to news originating from Beijing, People’s Republic of China, by N ewsRx correspondents, research stated, “With the advent of Industry 4.0, intelli gent manufacturing has emerged as a prominent trend for future development. The integration of intelligent manufacturing scenarios with reinforcement learning o ffers significant advantages and potential.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Key R &D Program of China, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Chong qing.

    Medical University of Silesia in Katowice Reports Findings in Stroke (Machine Me ets Brain: A Systematic Review of Effectiveness of Robotically Performed Cerebra l Angiography Interventions)

    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 Cerebrovascular Diseas es and Conditions - Stroke is the subject of a report. According to news origina ting from Zabrze, Poland, by NewsRx correspondents, research stated, “Stroke is a leading cause of death in the United States, with significant economic and hum an costs. Early diagnosis and rapid treatment are critical for preventing stroke -related morbidity and mortality.”

    Cancer Registry of Norway Reports Findings in Artificial Intelligence (Performan ce of an Artificial Intelligence System for Breast Cancer Detection on Screening Mammograms from BreastScreen Norway)

    55-56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 reporting out of Oslo, Norway, b y NewsRx editors, research stated, “Purpose To explore the stand-alone breast ca ncer detection performance, at different risk score thresholds, of a commerciall y available artificial intelligence (AI) system. This retrospective study includ ed information from 661 695 digital mammographic examinations performed among 24 2 629 female individuals screened as a part of BreastScreen Norway, 2004-2018.”

    University of Helsinki Reports Findings in Artificial Intelligence (Artificial I ntelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects)

    56-57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 Helsinki, Finla nd, by NewsRx correspondents, research stated, “Radiomics is a rapidly growing f ield used to leverage medical radiological images by extracting quantitative fea tures. These are supposed to characterize a patient’s phenotype, and when combin ed with artificial intelligence techniques, to improve the accuracy of diagnosti c models and clinical outcome prediction.”

    Investigators at Beijing Institute of Technology Report Findings in Field Roboti cs (Motion Planning for Off-road Autonomous Driving Based On Human-like Cognitio n and Weight Adaptation)

    58-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Robotics - Field R obotics. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Driving in an off-road environment is challenging for autonomous vehicles due to the complex and varied terrain. To ensure stable and efficient travel, the vehicle requires consideration and bala ncing of environmental factors, such as undulations, roughness, and obstacles, t o generate optimal trajectories that can adapt to changing scenarios.”

    Qingdao University Reports Findings in Soft Tissue Sarcomas (Multi-institutional validation of a radiomics signature for identification of postoperative progres sion of soft tissue sarcoma)

    59-59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 Oncology - Soft Tissue Sarcomas is the subject of a report. According to news originating from Shandon g, People’s Republic of China, by NewsRx correspondents, research stated, “To de velop a magnetic resonance imaging (MRI)-based radiomics signature for evaluatin g the risk of soft tissue sarcoma (STS) disease progression. We retrospectively enrolled 335 patients with STS (training, validation, and The Cancer Imaging Arc hive sets, n = 168, n = 123, and n = 44, respectively) who underwent surgical re section.”

    Researcher from Hellenic Mediterranean University Details New Studies and Findin gs in the Area of Machine Learning (Audio Recognition of the Percussion Sounds Generated by a 3D Auto-Drum Machine System via Machine Learning)

    60-60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 new report. According to news reporting out of Hellenic Me diterranean University by NewsRx editors, research stated, “A novel 3D auto-drum machine system for the generation and recording of percussion sounds is develop ed and presented.”