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 originating fr om Symbiosis International (Deemed) University by NewsRx correspondents, researc h stated, “Surface integrity is one of the key elements used to judge the qualit y of machined surfaces, and surface roughness is one such quality parameter that determines the pass level of the machined product. In the present study, AISI D 2 steel was machined with electric discharge at different process parameters usi ng Jatropha and EDM oil.”
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 Northern Border Univ ersity by NewsRx correspondents, research stated, “This study endeavours to eluc idate the influence of artificial intelligence (AI) adoption on enterprise packa ges within small and medium-sized enterprises (SMEs) while delineating the facto rs that contribute to e-operational performance. A cohort of 235 employees was s elected from a range of SMEs engaged in active E-business endeavours.”
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 from Shanghai, People’ s Republic of China, by NewsRx journalists, research stated, “This study aimed t o explore the spatial distribution of brain metastases (BMs) from breast cancer (BC) and to identify the high-risk sub-structures in BMs that are involved at fi rst diagnosis. Magnetic resonance imaging (MRI) scans were retrospectively revie wed at our centre.”
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 Aalborg, Denmark, by NewsRx editors, research stated, “Reminding is often identified as a central function o f socially assistive robots in the healthcare sector.” Financial supporters for this research include Helsefonden; Spar Nord Fonden. The news reporters obtained a quote from the research from Aalborg University: “ The robotic reminders are supposed to help people with memory impairments to rem ember to take their medicine, to drink and eat, or to attend appointments. Such standalone reminding technologies can, however, be too demanding for people with memory injuries. In a co-creation process, we developed an individual reminder robot together with a person with traumatic brain injury and her care personnel. During this process, we learned that while current research describe reminding as a prototypical task for socially assistive robots, there is no clear definiti on of what constitutes a reminder nor that it is based on complex sequences of i nteractions that evolve over time and space, across different actions, actors an d technologies. Based on our data from the co-creation process and the first dep loyment, we argue for a shift towards a sequential and socially distributed char acter of reminding.”
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 originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “To meet the dema nd for seam tracking of welding robots, a deep learning-based framework called D eepKP is proposed in this article, which aims to precisely extract weld seam key points (WSKPs) under multiple arc light interference. DeepKP comprises a keypoin t extraction model named WeldExt and a denoising model named WeldDenoise.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - New study results on artificial intelligence have been published. According to news originating from IPB University by NewsRx cor respondents, research stated, “Fruits are highly perishable goods, which means t hey have a short shelf life and can pose significant challenges in trade. A long supply chain can trigger the process of fruit spoilage.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Myomas is the subject of a report. According to news reporting out of Naples, Italy, by NewsRx editors , research stated, “Uterine myomas are the most common gynecological disease in reproductive-aged women, present several symptoms, and require effective medical and/or surgical strategies. This study aimed to compare robotic-assisted laparo scopic myomectomy (RALM) with laparoscopic myomectomy (LM) in terms of operative times, intraoperative estimated blood loss, pre- and post-hemoglobin levels dro p, and length of hospital stay.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating from Sfax , Tunisia, by NewsRx correspondents, research stated, “In recent years, the use of machine learning and artificial intelligence for the diagnosis and monitor of various ocular disorders has been increasing remarkably. It has emerged as an i ndispensable diagnostic means of supporting practitioners to identify, detect an d evaluate various diseases.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on neural computation are p resented in a new report. According to news reporting from Emory University by N ewsRx journalists, research stated, “The symmetric information bottleneck (SIB), an extension of the more familiar information bottleneck, is a dimensionality-r eduction technique that simultaneously compresses two random variables to preser ve information between their compressed versions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on robotics are presented i n a new report. According to news originating from Guangzhou, People’s Republic of China, by NewsRx editors, the research stated, “In the actual industrial appl ication of robots, the characteristics of robot malfunctions change accordingly as the working environment becomes increasingly diverse and complex.” The news reporters obtained a quote from the research from Guangdong University of Technology: “Utilizing the original fault diagnosis models in new working env ironments correspondingly leads to a decline in the performance and the generali zation capability of the model. Moreover, the monitoring data collected in new w orking processes often has limited or no labels, making the diagnosis models tra ined with this data unable to identify faults accurately. In this paper, we prop ose a Domain adaptive Cross-process Fault Diagnosis method (DCFD) to leverage kn owledge from existing working processes for diagnosing faults in new working pro cesses.”
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