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    Researchers from Ludwig-Maximilians-University Munich Report Findings in Artific ial Intelligence (Implementing Artificial Intelligence for Emergency Radiology I mpacts Physicians’ Knowledge and Perception)

    68-68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 Artificial Intell igence are discussed in a new report. According to news reporting out of Munich, Germany, by NewsRx editors, research stated, “The aim of this study was to eval uate the impact of implementing an artificial intelligence (AI) solution for eme rgency radiology into clinical routine on physicians’ perception and knowledge. A prospective interventional survey was performed pre-implementation and 3 month s post-implementation of an AI algorithm for fracture detection on radiographs i n late 2022.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Chi na University of Geosciences Beijing (Comparative Analysis of Lda, Pls-da, Svm, Rf, and Voting Ensemble for Discrimination Origin In Greenish-white To White ... )

    69-70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 Ma chine Learning. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “As there are distinct variations in economic value for greenish-white to white nephrites based on their geographica l origin, it is crucial to develop a robust origin discrimination method for the m. The reported correlation between the intensity of spectra and material proper ties gives us a clue that such a correlation may exist in nephrites worldwide.”

    Recent Studies from China University of Mining and Technology Beijing Add New Da ta to Machine Learning (Machine Learningassisted Efficient Design of Cu-based S hape Memory Alloy With Specific Phase Transition Temperature)

    70-70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 originating from Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “The martensitic transformat ion temperature is the basis for the application of shape memory alloys (SMAs), and the ability to quickly and accurately predict the transformation temperature of SMAs has very important practical significance. In this work, machine learni ng (ML) methods were utilized to accelerate the search for shape memory alloys w ith targeted properties (phase transition temperature).”

    Researchers at Aristotle University of Thessaloniki Have Reported New Data on Ma chine Learning (Unsure - a Machine Learning Approach To Cryptocurrency Trading)

    71-71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 Thessaloniki, Greece, by NewsRx jou rnalists, research stated, “Although cryptocurrency trading can be highly profit able, it carries significant risks due to extreme price fluctuations and high de gree of market noise. To increase profits and minimize risks, traders typically use various forecasting methods, such as technical analysis and Machine Learning (ML), but developing effective trading strategies in noisy markets still remain s a challenging task.”

    Research on Machine Learning Described by a Researcher at Thapar Institute of En gineering & Technology (Sentimental analysis and prediction of soc ioeconomic disasters tweets by ML and regular expression)

    72-72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 artificial intelligence. According to news originating from Punjab, India, by Ne wsRx correspondents, research stated, “Sentiment analysis is a method of analyzi ng emotions and using text analysis techniques with natural language processing methods. Sentiment analysis uses data from various sources to identify the user’ s attitude through different aspects.”

    New Machine Learning Findings from Tamilnadu College of Engineering Discussed (Classification of Cognitive Impairment Using Quadratic Discriminant Analysis Based Spiral Dynamic Optimization Algorithm)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Tamil Nadu, India, by NewsRx jour nalists, research stated, “This research uses machine learning techniques for th e classification of cognitive impairment using Quadratic Discriminant Analysis ( QDA) based Spiral Dynamic Optimization Algorithm (SDOA). The proposed method emp loys a machine learning classifier coupled with a series of pre-processing techn iques encompassing image contrast enhancement and feature extraction and selecti on.”

    Reports Summarize Machine Translation Study Results from Dalian University (Tran slation Model Based On Discrete Fourier Transform and Skipping Sub-layer Methods )

    74-75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 Translati on are discussed in a new report. According to news reporting originating from L iaoning, People’s Republic of China, by NewsRx correspondents, research stated, “Machine translation quality has seen tremendous improvement since the developme nt of neural machine translation. However, translation models are memory intensi ve, with expensive hardware facilities and slow training speed.”

    Reports from Shanghai Jiao Tong University Advance Knowledge in Robotics (Design of a 2rru-rrs Parallel Kinematic Mechanism for an Inner-cavity Machining Hybrid Robot)

    74-74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 Robotic s. According to news reporting originating from Shanghai, People’s Republic of C hina, by NewsRx correspondents, research stated, “This article presents a hybrid robot for machining the inner cavity of large-scale workpiece, and it is compos ed of three parts: a mobile device with 1T degree-of-freedom (DoF), a serial mod ule with 1R1T DoFs, and a 2RRU-RRS parallel kinematic mechanism (PKM) with 2R1T DoFs. The 2RRU-RRS PKM has some advantages with a folding structure, only one S joint, two certain rotational axes, and all the fixed actuators.”

    Dalian Medical University Reports Findings in Osteoporosis (Application of machi ne learning algorithms to identify people with low bone density)

    75-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Musculoskeletal Diseases and Cond itions - Osteoporosis is the subject of a report. According to news originating from Dalian, People’s Republic of China, by NewsRx correspondents, research stat ed, “Osteoporosis is becoming more common worldwide, imposing a substantial burd en on individuals and society. The onset of osteoporosis is subtle, early detect ion is challenging, and population-wide screening is infeasible.”

    Findings in Robotics Reported from Marche Polytechnic University (Advancing Huma n-robot Collaboration In Handcrafted Manufacturing: Cobot-assisted Polishing Des ign Boosted By Virtual Reality and Human-in-the-loop)

    76-77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 Ancona, Italy, by NewsRx editors, r esearch stated, “Industry 5.0 envisions a future where seamless collab oration be tween humans and robots enhances efficiency, innovation, and coevolution. While collaborative robots have found widespread applications in manufacturing, partic ularly in tasks like pick-and-place and assembly, their integration into handcra fted manufacturing processes presents unique challenges.”