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    New Intelligent Systems Study Findings Reported from Army Engineering University (A Noise-robust Voice Conversion Method With Controllable Background Sounds)

    10-11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 - Intelligent Systems. According to news reporting originating fr om Nanjing, People’s Republic of China, by NewsRx correspondents, research state d, “Background noises are usually treated as redundant or even harmful to voice conversion. Therefore, when converting noisy speech, a pretrained module of spee ch separation is usually deployed to estimate clean speech prior to the conversi on.”

    Reports from Wuhan University Add New Data to Findings in Artificial Intelligenc e (Robust Frame-level Detection for Deepfake Videos With Lightweight Bayesian In ference Weighting)

    11-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Artificial Intelligence have been published. According to news reporting originating from Hubei, People’ s Republic of China, by NewsRx correspondents, research stated, “Deepfake threat ens the authenticity of the information in artificial intelligence Internet of T hings (IoT) systems. Recently, several deepfake detection methods have been prop osed in academia and industry for securing the authenticity of visual informatio n in the face of artificial intelligence advances.” Financial support for this research came from National Key Research and Developm ent Program of China.

    Researcher at Transilvania University Reports Research in Artificial Intelligenc e (Forecasting the River Water Discharge by Artificial Intelligence Methods)

    12-13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 artificial in telligence have been published. According to news originating from Brasov, Roman ia, by NewsRx editors, the research stated, “The management of water resources m ust be based on accurate models of the river discharge in the context of the wat er flow alteration due to anthropic influences and climate change.”

    Research from Rutgers University Provides New Data on Machine Learning (Advances in Explainable, Fair, and Trustworthy AI)

    12-12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 out of Rutgers University by NewsR x editors, research stated, “This special issue encapsulates the multifaceted la ndscape of contemporary challenges and innovations in Artificial Intelligence (A I) and Machine Learning (ML), with a particular focus on issues related to expla inability, fairness, and trustworthiness.”

    New Robotics Study Findings Recently Were Reported by Researchers at Shanghai Ji ao Tong University (Multimodal Magnetic Soft Robots Enabled By Bistable Kirigami Patterns)

    13-14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 originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Creatures in nat ure have evolved to possess various modes of locomotion as a survival strategy. Drawing inspiration from nature, researchers have developed soft robots capable of achieving multiple modes of motion through multiple actuation controlling and structural reconfiguration.”

    Researchers at Dalian University of Technology Release New Data on Robotics (Hex ad Robot: a 6-dof Parallel Pnp Robot To Accommodateantagonistic Rotational Capab ility and Structural Complexity)

    14-15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 Robotics is now availab le. According to news reporting from Dalian, People’s Republic of China, by News Rx journalists, research stated, “This paper proposed a new structure of full-mo bility parallel robot, which combined the advan-tages of high-rotational capabil ities and structural simplification, for high-speed operations ofmaterial handli ng. The proposed robot structure integrates lightweight and simple linkages with a relatively complex (i.e., compared to the single platform with limited rotatio nal capability)articulated mechanism or gear train as wrist mechanism to amplify the endeffector rotations,but without significantly increased structural compl exity of gearbox, compared to the existingdesigns.”

    Research in the Area of Robotics Reported from North Carolina State University ( Hardware-in-the-loop dynamic load emulation of robotic systems actuated by fluid ic artificial muscles)

    15-16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 originating from Raleigh, North Car olina, by NewsRx correspondents, research stated, “Hardware-in-theloop (HIL) te sting is a popular control system testing method because it bridges the gap betw een modeling/simulation and experiments. Instead of designing a full hardware-ba sed experiment to validate the results of a simulation, the plant hardware can b e replaced with an emulator device that responds to exogenous inputs and effecti vely emulates the dynamic behavior of a system.”

    Study Findings on Physics Are Outlined in Reports from China Three Gorges Univer sity (Prediction of DC Breakdown Voltage of Rod- Plate Gaps under Full-Flame Brid ging Conditions)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on physics are discussed in a n ew report. According to news reporting out of Yichang, People’s Republic of Chin a, by NewsRx editors, research stated, “In order to evaluate the risk of transmi ssion line tripping due to wildfires, it is necessary to predict the breakdown v oltage of the insulation gap under the flame.”

    New Research on Machine Learning from University of Science and Technology Beiji ng Summarized (Predicting Rutting Development Using Machine Learning Methods Bas ed on RIOCHTrack Data)

    17-17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 originating from Beijing , People’s Republic of China, by NewsRx correspondents, research stated, “As the main cause of asphalt pavement distress, rutting severely affects pavement safe ty.”

    Findings from Indian Institute of Technology (IIT) Indore in the Area of Machine Learning Reported (Development of Single-phase Bcc Refractory High Entropy Allo ys Using Machine Learning Techniques)

    18-19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 Machine Learning. According to news reporting from Madhya Pradesh, India, by New sRx journalists, research stated, “The current study presents the application of both computational and experimental techniques in the quest for novel single-ph ase BCC refractory high entropy alloys (RHEAs) with high liquidus temperature an d phase stability. The phases of RHEAs are predicted using different machine lea rning (ML) algorithms such as Logistic Regression (LR), Gradient Boosting (GB), Support Vector Machine (SVM), Decision Tree (DT), K- Nearest Neighbor (KNN), Ran dom Forest (RF), and Artificial Neural Network (ANN).”