查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Carcinomas is the subject of a report. According tonews reporting out of Suresnes, France, by NewsRx editors, research stated, “To assess the opinion,practices, and chal lenges of international key opinion leaders about two minimal invasive surgical techniquesin supraglottic laryngeal tumours: transoral laser microsurgery (TLM) and the transoral robotic surgery(TORS). Design of a questionnaire composed of seven sections and fifty questions covering descriptive dataof participants, p ractitioners experience procedural sequences, considerations related to airways, feeding,and voice, intraoperative haemorrhage, postoperative management, and a comparative analysis of TLMand TORS in treating supraglottic laryngeal cancer. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Carcinomas is the subject of a report. According tonews reporting out of Suresnes, France, by NewsRx editors, research stated, “To assess the opinion,practices, and chal lenges of international key opinion leaders about two minimal invasive surgical techniquesin supraglottic laryngeal tumours: transoral laser microsurgery (TLM) and the transoral robotic surgery(TORS). Design of a questionnaire composed of seven sections and fifty questions covering descriptive dataof participants, p ractitioners experience procedural sequences, considerations related to airways, feeding,and voice, intraoperative haemorrhage, postoperative management, and a comparative analysis of TLMand TORS in treating supraglottic laryngeal cancer. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According tonews reporting originating from D urham, New Hampshire, by NewsRx correspondents, research stated,“ABSTRACTThe sp atial structure of local uncertainty of shallow-water satellite-derived bathymet ry(SDB) relative to model type, imagery, and geographical adaptability was exam ined for an area nearKey West, Florida (United States). The model types examine d were a commonly used quasi-empiricallinear regression model and a decision tr ee-based Categorical Boosting (CatBoost) machine learning (ML)model.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According tonews reporting originating from D urham, New Hampshire, by NewsRx correspondents, research stated,“ABSTRACTThe sp atial structure of local uncertainty of shallow-water satellite-derived bathymet ry(SDB) relative to model type, imagery, and geographical adaptability was exam ined for an area nearKey West, Florida (United States). The model types examine d were a commonly used quasi-empiricallinear regression model and a decision tr ee-based Categorical Boosting (CatBoost) machine learning (ML)model.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on robotics is the subjec t of a new report. According to news originatingfrom Antwerp, Belgium, by NewsR x correspondents, research stated, “The predictive brain hypothesissuggests tha t perception can be interpreted as the process of minimizing the error between p redictedperception tokens generated via an internal world model and actual sens ory input tokens.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on robotics is the subjec t of a new report. According to news originatingfrom Antwerp, Belgium, by NewsR x correspondents, research stated, “The predictive brain hypothesissuggests tha t perception can be interpreted as the process of minimizing the error between p redictedperception tokens generated via an internal world model and actual sens ory input tokens.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news report-ing originating in Shenyang, People’s R epublic of China, by NewsRx journalists, research stated, “Selforganizedformat ion is a key direction in swarm robotics. It is still challenging to design loca l interactionstoward desired global formations and even more challenging for dy namic formations in a physical robotswarm system.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news report-ing originating in Shenyang, People’s R epublic of China, by NewsRx journalists, research stated, “Selforganizedformat ion is a key direction in swarm robotics. It is still challenging to design loca l interactionstoward desired global formations and even more challenging for dy namic formations in a physical robotswarm system.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Artificial Intelligen ce have been presented. According to news reportingoriginating in Munich, Germa ny, by NewsRx journalists, research stated, “In recent years, black-boxmachine learning approaches have become a dominant modeling paradigm for knowledge extra ction inremote sensing. Despite the potential benefits of uncovering the inner workings of these models with explainableAI, a comprehensive overview summarizi ng the used explainable AI methods and their objectives,findings, and challenge s in remote sensing applications is still missing.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Artificial Intelligen ce have been presented. According to news reportingoriginating in Munich, Germa ny, by NewsRx journalists, research stated, “In recent years, black-boxmachine learning approaches have become a dominant modeling paradigm for knowledge extra ction inremote sensing. Despite the potential benefits of uncovering the inner workings of these models with explainableAI, a comprehensive overview summarizi ng the used explainable AI methods and their objectives,findings, and challenge s in remote sensing applications is still missing.”
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