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    Researchers from Jordan University of Science and Technology Provide Details of New Studies and Findings in the Area of Machine Learning (Emo-SL Framework: Emoj i Sentiment Lexicon Using Text-Based Features and Machine Learning for Sentiment ...)

    118-119页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting from Irbid, Jordan, by N ewsRx journalists, research stated, “Recently, given the rise of types of social media networks, the analysis of sentiment and opinions in textual data has gain ed significant importance. However, sentiment analysis in informal Arabic text p resents challenges due to morphological complexities and dialectal variances.”

    Data on Robotics Reported by a Researcher at Shizuoka University (Pose Estimatio n of a Container with Contact Sensing Based on Discrete State Discrimination)

    118-118页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news originating from Shizuoka, Japan, by NewsRx corre spondents, research stated, “In cases where vision is not sufficiently reliable for robots to recognize an object, tactile sensing can be a promising alternativ e for estimating the object’s pose.” Our news reporters obtained a quote from the research from Shizuoka University: “In this paper, we consider the task of a robot estimating the pose of a contain er aperture in order to select an object. In such a task, if the robot can deter mine whether its hand with equipped contact sensor is inside or outside the cont ainer, estimation of the object’s pose can be improved by reflecting the discrim ination to the robotic hand’s exploration strategy. We propose an exploration st rategy and an estimation method using discrete state recognition on the basis of a particle filter.”

    RUDN University Researchers Have Published New Study Findings on Machine Learnin g (Advancements in Gas Turbine Fault Detection: A Machine Learning Approach Base d on the Temporal Convolutional Network-Autoencoder Model)

    119-120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 ar tificial intelligence. According to news reporting out of Moscow, Russia, by New sRx editors, research stated, “To tackle the complex challenges inherent in gas turbine fault diagnosis, this study uses powerful machine learning (ML) tools.” Our news editors obtained a quote from the research from RUDN University: “For t his purpose, an advanced Temporal Convolutional Network (TCN)-Autoencoder model was presented to detect anomalies in vibration data. By synergizing TCN capabili ties and Multi-Head Attention (MHA) mechanisms, this model introduces a new appr oach that performs anomaly detection with high accuracy. To train and test the p roposed model, a bespoke dataset of CA 202 accelerometers installed in the Kirku k power plant was used. The proposed model not only outperforms traditional GRU- Autoencoder, LSTM-Autoencoder, and VAE models in terms of anomaly detection accu racy, but also shows the Mean Squared Error (MSE = 1.447), Root Mean Squared Err or (RMSE = 1.193), and Mean Absolute Error (MAE = 0.712).”

    Research from Information Engineering University Provides New Data on Symmetric Cryptology (Dynamic Cube Attacks against Grain-128AEAD)

    120-121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 symmetr ic cryptology. According to news reporting out of Zhengzhou, People’s Republic o f China, by NewsRx editors, research stated, “In this paper, we revisit the divi sion property based dynamic cube attack on the full Grain-128 presented by Hao e t al. at FSE 2020 and demonstrate that their attack on the full Grain-128 is inv alid, that is, no key information could be successfully recovered.”

    Findings from College of Materials Science and Engineering in Nanocomposites Rep orted (Flexible antibacterial degradable bioelastomer nanocomposites for ultrase nsitive human-machine interaction sensing enabled by machine learning)

    121-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on nanocomposites are discussed in a new report. According to news reporting from the College of Materials Scie nce and Engineering by NewsRx journalists, research stated, “Flexible wearables have attracted extensive interests for personal human motion sensing, intelligen t disease diagnosis, and multifunctional electronic skins.” Funders for this research include National Natural Science Foundation of China; Fundamental Research Funds For The Central Universities.

    Reports from Ocean University of China Add New Data to Findings in Artificial In telligence (Applications of 3d Modeling In Cryptic Species Classification of Mol luscs)

    122-123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 originating in Qingdao , People’s Republic of China, by NewsRx journalists, research stated, “Classific ation of cryptic species is important for assessing biodiversity and conducting ecological studies. However, morphological classification methods face the loss of morphological information due to subjectivity in geometric morphometrics, whi le an incomplete database and horizontal gene transfer limit the molecular appro ach.” Financial supporters for this research include Laoshan Laboratory, National Natu ral Science Foundation of China (NSFC).

    Investigators at University of Porto Describe Findings in Robotics [Supporting Decision-making of Collaborative Robot (Cobot) Adoption: the Developm ent of a Framework]

    123-123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 out of Porto, Portugal, by NewsRx e ditors, research stated, “Collaborative robots (cobots) are emerging in manufact uring as a response to the current mass customization production paradigm and th e fifth industrial revolution. Before adopting this technology in production pro cesses and benefiting from its advantages, manufacturers need to analyze the inv estment.”

    Research from Offenburg University Provides New Data on Robotics (Prototyping a Zoomorphic Interactive Robot Companion with Emotion Recognition and Affective Vo ice Interaction for Elderly People)

    124-124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 originating from Offenburg University by N ewsRx correspondents, research stated, “An aging society paired with a skilled l abor shortage, particularly in European countries, requires a rethinking of depr ecated structures.” Our news reporters obtained a quote from the research from Offenburg University: “Intelligent assistive technologies, specifically socially assistive robots, ad dressing the gap between caretakers and elderly people in need of care have move d into the focus of debate due to their potentials to reduce costs, improve inde pendence, and eventually raise quality of life. In this work, we outline the pot entials of zoomorphic robot companions combining intelligent conversational abil ities and emotion recognition. We then describe the prototyping of an emotion-se nsing zoomorphic interactive robot companion including the development and imple mentation of a multimodal emotion recognition framework. This framework uses spe ech emotion recognition, sentiment analysis, and affective voice interaction bas ed on a large language model.”

    Studies from Federal University Juiz De Fora Yield New Data on Machine Learning (A New Takagi-sugeno-kang Model for Time Series Forecasting)

    125-125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 Machine Learn ing have been published. According to news reporting originating from Juiz de Fo ra, Brazil, by NewsRx correspondents, research stated, “A fuzzy inference system consists of a machine learning concept that combines accuracy and interpretabil ity. They are divided into two main groups: Mamdani and Takagi-Sugeno-Kang.”

    Researchers from Shandong University of Science and Technology Detail Research i n Robotics (Research on Road Pattern Recognition of a Vision-Guided Robot Based on Improved-YOLOv8)

    126-127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 robotics are disc ussed in a new report. According to news reporting out of Jinan, People’s Republ ic of China, by NewsRx editors, research stated, “In order to promote the accura te recognition and application of visual navigation robots to the environment, t his paper carried out research on the road pattern recognition of a vision-guide d robot based on improved YOLOv8 on the basis of road pattern calibration and ex perimental sampling.”