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    Studies from University of Porto Have Provided New Data on Machine Learning (Int egrating Machine Learning Techniques for Predicting Ground Vibration In Pile Dri ving Activities)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Porto, Portugal, by NewsRx editors, research stated, “This study focuses on the assessmentof ground vibrations due to pile driving activities. Given the likelihood of excessive vi bration due to thedriving process, it is imperative to predict vibration levels during the design phase.”

    Reports Outline Robotics Study Findings from Ho Chi Minh City University of Tech nology and Education (HCMUTE) (A Survey of LQR Control for Ball-on-Wheel System: Simulation and Experiment)

    60-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ro botics. According to news reporting from Ho ChiMinh City University of Technolo gy and Education (HCMUTE) by NewsRx journalists, research stated,“A ball-on-whe el system is a recently developed model in the field of automatic control.”Our news reporters obtained a quote from the research from Ho Chi Minh City Univ ersity of Technologyand Education (HCMUTE): “It serves as a simple model, meeti ng the learning and algorithmic researchneeds of students. With this model, the re are various algorithms available for system control, such as PIDcontrollers, fuzzy PID controllers, and sliding mode controllers, among others. In this pape r, we constructa mechanical model for the system. We choose the Linear Quadrati c Regulator (LQR) algorithm to designfor this system. Simulation and experiment al results demonstrate the effective operation of the LQRcontroller for the inv erted pendulum on a cart system.”

    Studies from University of Waterloo Yield New Data on Machine Learning (An Integ rated Fuzzy Logic and Machine Learning Platform for Porosity Detection Using Opt ical Tomography Imaging During Laser Powder Bed Fusion)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Machine Learning are discuss ed in a new report. According to news reportingoriginating in Waterloo, Canada, by NewsRx journalists, research stated, “Traditional methods such asmechanical testing and x-ray computed tomography (CT), for quality assessment in laser pow der-bed fusion(LPBF), a class of additive manufacturing (AM), are resource-inte nsive and conducted post-production.Recent advancements in in-situ monitoring, particularly using optical tomography (OT) to detect nearinfraredlight emissio ns during the process, offer an opportunity for in-situ defect detection.”

    Zhejiang Gongshang University Reports Findings in Food Safety (Classifiability a nalysis of spectroscopic profiling datasets in food safety related discriminativ e tasks)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Foodborne Diseases and Conditions - Food Safety is the subject of areport. According to news reportin g originating from Hangzhou, People’s Republic of China, by NewsRxcorrespondent s, research stated, “Discriminative tasks, i.e., the identification of different food materials,brands, and origins, have become an essential part of food safe ty control. In recent years, spectroscopicprofiling combined with machine learn ing is becoming popular for food-related discriminative tasks, butfinding an ap propriate classification model can be challenging.”

    New Findings from City University of Hong Kong Describe Advances in Machine Lear ning (Validating Unsupervised Machine Learning Techniques for Software Defect Pr ediction With Generic Metamorphic Testing)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Hong Kong, People’s Re public of China, by NewsRx journalists, research stated, “In the realm ofsoftwa re defect prediction, unsupervised models often step in when labelled datasets a re scarce, despitefacing the challenge of validating models without prior knowl edge of data. Addressing this, we proposed anovel approach leveraging generic m etamorphic testing to validate such models effectively, bypassing theneed for e xpert-derived metamorphic relations.”

    Study Data from National Institute of Technology Provide New Insights into Machi ne Learning (Machine Learning Approach for Water Quality Predictions Based On Mu ltispectral Satellite Imageries)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Mani pur, India, by NewsRx correspondents, research stated, “Water qualityanalysis i s a vital component of the water resources management and has to be undertaken p romptly tomake sure environmental regulations are being followed and to elimina te any pollution that could harmthe ecosystem. The main objective of this study to retrieve and map the water quality parameters fromSentinel-2 and ResourceSa t-2 [Linear Imaging Self-Scanning Sensor (LISS)-IV] multi-spectral satellitedata, using Support Vector Machines (SVM), Random Fores ts (RF), and Multi-Linear regression (MLR)models.”

    Affiliated Hospital of Putian University Reports Findings in Squamous Cell Carci noma (Comparison of machine learning methods for Predicting 3-Year survival in e lderly esophageal squamous cancer patients based on oxidative stress)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report.According to news reporting originating from Fujian, People’s Republic of China, by NewsRx correspondents,research sta ted, “Oxidative stress process plays a key role in aging and cancer; however, cu rrently,there is paucity of machine-learning model studies investigating the re lationship between oxidative stressand prognosis of elderly patients with esoph ageal squamous cancer (ESCC). This study included elderlypatients with ESCC who underwent curative ESCC resection surgery continuously from January 2013 toDec ember 2020 and were stratified into the training and external validation cohorts .”

    New Engineering Findings Reported from University of Maine (Modeling Forest Cano py Structure and Developing a Stand Health Index Using Satellite Remote Sensing)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Engineering. According to news reporting out ofOrono, Maine, by NewsRx editors, research stated, “Biotic and abiotic disturbances modify tree structureand deg rade stand health. Accurate geospatial data on stand structure is important for monitoring treegrowth, forest health, progression and severity of diseases and pests, and estimating resilience to climatestress.”

    Studies from Guilin University of Technology in the Area of Robotics Described ( Yolov7-gcm: a Detection Algorithm for Creek Waste Based On Improved Yolov7 Model )

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Robotics. Accordin g to news reporting originating in Guilin,People’s Republic of China, by NewsRx journalists, research stated, “To enhance the cleanliness of creekenvironments , quadruped robots can be utilized to detect for creek waste. The continuous cha nges inthe water environment significantly reduce the accuracy of image detecti on when using quadruped robotsfor image acquisition.”

    Zhejiang Chinese Medical University Reports Findings in Bioinformatics (Shen Qi Wan regulates OPN/CD44/PI3K pathway to improve airway inflammation in COPD: Netw ork pharmacology, bioinformatics, and experimental validation)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news reporting originating in Hangzhou, People’s Republic of China, by NewsRx journalists, researchstated, “C hronic obstructive pulmonary disease (COPD) is one of the most common respirator y diseaseswith undefined pathogenesis and unsatisfactory therapeutic options. S henqi Wan (SQW), a traditionalChinese medicinal compound, has demonstrated cert ain preventive and therapeutic effects on COPD.”