查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Support Vector Ma chines are discussed in a new report. According to news reporting originating fr om Pensacola, Florida, by NewsRx correspondents, research stated, “This study in vestigates the technical challenges of applying Support Vector Machines (SVM) fo r multi-class classification in network intrusion detection using the UWF-ZeekDa taFall22 dataset, which is labeled based on the MITRE ATT&CK framew ork. A key challenge lies in handling imbalanced classes and complex attack patt erns, which are inherent in intrusion detection data.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Based on UHPLC-QTOF-MS analy sis and quantized processing, combined with machine learning algorithms, data mo deling was carried out to realize digital identification of bear bile powder (BB P), chicken bile powder (CIBP), duck bile powder (DBP), cow bile powder (CBP), s heep bile powder (SBP), pig bile powder (PBP), snake bile powder (SNBP), rabbit bile powder (RBP), and goose bile powder £. First, 173 batches of bile samples w ere analyzed by UHPLC-QTOF-MS to obtain the retention time-exact mass (RTEM) dat a pair to identify bile acid-like chemical components.”
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 originating from Glasgow, United Kingdom, by NewsRx correspondents, research stated, “Unveiling the cognitive patterns that underpin linguistic expressions, conceptual metaphor serves not only as an effec tive means for speakers to convey their values but also as a crucial tool for li steners to comprehend unfamiliar topics.”
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 Shenzhen, People’s Republ ic of China, by NewsRx correspondents, research stated, “Exoskeleton robots enab le individuals with impaired physical functions to perform daily activities and maintain independence.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Notre Dame, Indiana, by NewsRx correspondents, research stated, “Atomic masses are a foundat ional quantity in our understanding of nuclear structure, astrophysics, and fund amental symmetries. The longstanding goal of creating a predictive global model for the binding energy of a nucleus remains a significant challenge, however, an d prompts the need for precise measurements of atomic masses to serve as anchor points for model developments.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting from Kiel, Germany, by NewsRx journal ists, research stated, “Dung beetles impressively coordinate their 6 legs to eff ectively roll large dung balls. They can also roll dung balls varying in the wei ght on different terrains.”Funders for this research include Human Frontier Science Program, Vidyasirimedhi Institute of Science and Technology.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Amsterdam, Netherlands , by NewsRx correspondents, research stated, “Effective personalized well-being interventions require the ability to predict who will thrive or not, and the und erstanding of underlying mechanisms. Here, using longitudinal data of a large po pulation cohort (the Netherlands Twin Register, collected 1991-2022), we aim to build machine learning prediction models for adult well-being from the exposome and genome, and identify the most predictive factors ( between 702 and 5874).”
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 reporting originating from Pad ua, Italy, by NewsRx correspondents, research stated, “Hyperspectral imaging (HS I) is one of the non-destructive quality assessment methods providing both spati al and spectral information. HSI in food quality and safety can detect the prese nce of contaminants, adulterants, and quality attributes, such as moisture, ripe ness, and microbial spoilage, in a non-destructive manner by analyzing spectral signatures of food components in a wide range of wavelengths with speed and accu racy.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Lung Diseases and Cond itions - Chronic Obstructive Pulmonary Disease is the subject of a report. Accor ding to news reporting originating in Asturias, Spain, by NewsRx journalists, re search stated, “Chronic obstructive pulmonary disease (COPD) is a prevalent and preventable condition that typically worsens over time. Acute exacerbations of C OPD significantly impact disease progression, underscoring the importance of pre vention efforts.”
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 Liaocheng, People’s Republic of Chi na, by NewsRx editors, research stated, “For the existing tracking control schem es of flexible-joint robots, precise sensor measurement is an implicit premise. However, idealized sensors are difficult to achieve due to manufacturing technol ogy or other external factors.”Financial supporters for this research include Natural Science Foundation of Sha ndong Province for Key Projects, China Postdoctoral Science Foundation, “Guangyu e Young Scholar Innovation Team”of Liaocheng University.
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