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    Investigators at Anhui Normal University Describe Findings in Computational Inte lligence (Enhanced Self-attention Mechanism for Long and Short Term Sequential R ecommendation Models)

    78-79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 - Computational Intelligence have beenpublished. According to news originat ing from Wuhu, People’s Republic of China, by NewsRx correspondents,research st ated, “Compared with traditional recommendation algorithms based on collaborativ efiltering and content, the sequential recommendation can better capture change s in user interests andrecommend items that may be interacted with by the next time according to the user’s historical interactionbehaviors. Generally, there are several traditional methods for sequential recommendation: Markov Chain(MC) and Deep Neutral Network (DNN), both of which ignore the relationship between v arious behaviorsand the dynamic changes of user interest in items over time.”

    University of Durham Reports Findings in Robotics (Swarm Flocking Using Optimisa tion for a Self-organised Collective Motion)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. Acc ording to news originating from Durham,United Kingdom, by NewsRx correspondents , research stated, “Collective motion, often called flocking,is a prevalent beh aviour observed in nature wherein large groups of organisms move cohesively, gui dedby simple local interactions, as exemplified by bird flocks and fish schools . Inspired by those intelligentspecies, many cyber-physical systems attempted t o increase autonomy by resembling the models thatdescribe those collective beha viours.”

    Reports from University of Florida Advance Knowledge in Robotics (Unsupervised H uman Activity Recognition Learning for Disassembly Tasks)

    81-81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 originatingfrom Gainesville, Florida, by Ne wsRx correspondents, research stated, “Large volumes of used electronicsare oft en collected in remanufacturing plants, which requires disassembly before harves ting parts for reuse.Disassembly is mainly conducted manually with low producti vity.”

    Data from Instituto Tecnologico Metropolitano Advance Knowledge in Machine Learn ing (Machine Learning Applications in Optical Fiber Sensing: A Research Agenda)

    82-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingfrom Medellin, Colombia, by NewsR x journalists, research stated, “The constant monitoring and control ofvarious health, infrastructure, and natural factors have led to the design and developme nt of technologicaldevices in a wide range of fields. This has resulted in the creation of different types of sensors that canbe used to monitor and control d ifferent environments, such as fire, water, temperature, and movement,among others.”

    Data on Machine Learning Reported by Researchers at Department of Computer Scien ces and Engineering (Objective and Automatic Assessment of Bradykinesia In Parki nson’s Patients Using New Repetitive Pointing Task With Machine Learning Approach)

    83-83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 originating in Chandigarh, India, by NewsRx journalists, research stated, “Bradykinesia is one ofthe main symptoms to diagnose Parkinson’s disease (PD). It indicates the slowness in the movement andcan be measured using various upper-limb and lower-limb activities based on Unified Parkinson’s DiseaseRating Scale.”

    New Findings from Wenzhou Medical University Update Understanding of Machine Lea rning (An Aptamer-based Sers Method for Rapid Screening and Identification of Pa thogens Assisted By Machine Learning Technique With Robustness Evaluation)

    85-86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 Ma chine Learning. According to news reportingoriginating from Wenzhou, People’s R epublic of China, by NewsRx correspondents, research stated,“Pathogen testing i s one of the compulsory items for the quality control of pharmaceutical products . Upto now, rapid screening and identification of low-concentration pathogen co ntaminations is still full ofchallenge.”

    Studies from Opole University of Technology Reveal New Findings on Machine Learn ing (Exploring the Impact of Phase-shifted Loading Conditions On Fatigue Life of S355j2 Mild Steel With Different Machine Learning Approaches)

    89-89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 Machine Learning. According to news reportingoriginating from Opole, Poland, by NewsRx correspondents, research stated, “Predicting a component’sfatigue life requires information on not only the number of stress cycles the component will undergo but alsothe kind and frequency of those stress cycles, as well as infor mation about the surrounding environmentand the intended purpose of the compone nt. Models that can forecast lifespan by utilizing availableexperimental data a re preferred since fatigue investigations are costly and time-consuming.”

    New Data from Tsinghua University Illuminate Findings in Support Vector Machines (Study On Detecting Main Ingredients of Silicone Rubber Based On Terahertz Spec trum)

    90-91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 - Support Vector Machines are discussed in a newreport. According to news repor ting from Guangdong, People’s Republic of China, by NewsRx journalists,research stated, “The authors investigated the ingredient detection technique of silicon e rubber based on the Terahertz spectrum. For this purpose, 18 diverse high-temp erature vulcanised silicone rubber (HTVSR)formulations were customised, 8 of wh ich are used as calibration set while the rest 10 as prediction set.”

    Data from Taif University Provide New Insights into Machine Learning (Deep Learn ing, Ensemble and Supervised Machine Learning for Arabic Speech Emotion Recognition)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Taif University by NewsRx editors, the research stated, “Today, automatic emotion recognition inspeech is one of the most important areas of research in signal processing.”

    Studies from Shanghai University Update Current Data on Computational Intelligen ce (Fast Video-based Point Cloud Compression Based On Early Termination and Tran sformer Model)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing - Computational Intelligence. Accordingto news reporting from Shanghai, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Video-based Po int Cloud Compression (V-PCC) was proposed by the Moving Picture Experts Group (MPEG) to standardize Point Cloud Compression (PCC). The main idea of V-PCC is to project the DynamicPoint Cloud (DPC) into auxiliary information, occupancy, ge ometry, and attribute videos for encodingutilizing High Efficiency Video Coding (HEVC), Versatile Video Coding (VVC), etc.”