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ZTE Enhances 3G Mobile TV Experience at Beijing 2008 Olympic Games
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《ZTE Communications》 2008年第3期2-2,共1页
ZTE Corporation enhanced 3G mobile TV viewing experience during the Beijing 2008 Olympic Games as it officially rolled out U728
关键词 ZTE Enhances 3G Mobile TV experience at Beijing 2008 Olympic Games TV SCDMA
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Preliminary Results of the Ground-Based Orographic Snow Enhancement Experiment for the Easterly Cold Fog (Cloud) at Daegwallyeong during the 2006 Winter 被引量:1
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作者 Myoung-Joo LEE Ki-Ho CHANG +8 位作者 Gyun-Myoung PARK Jin-Yim JEONG Ha-Young YANG Ki-Deok JEONG Joo-Wan CHA Sung-Soo YUM Jae-Cheol NAM Kyungsik KIM Byung-Chul CHOI 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2009年第2期222-228,共7页
The snow enhancement experiments, carried out by injecting AgI and water vapor into orographically enhanced clouds (fog), have been conducted to confirm Li and Pitter's forced condensation process in a natural situ... The snow enhancement experiments, carried out by injecting AgI and water vapor into orographically enhanced clouds (fog), have been conducted to confirm Li and Pitter's forced condensation process in a natural situation. Nine ground-based experiments have been conducted at Daegwallyeong in the Taebaek Mountains for the easterly foggy days from January-February 2006. We then obtained the optimized conditions for the Daegwallyeong region as follows: the small seeding rate (1.04 g min-1) of AgI for the easterly cold fog with the high humidity of Gangneung. Additional experiments are needed to statistically estimate the snowfall increment caused by the small AgI seeding into the orographical fog (cloud) over the Taeback Mountains. 展开更多
关键词 snow enhancement experiment cold cloud modification forced condensation AgI seeding orographical supersaturation
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The rising safety concerns of deep recommender systems
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作者 Huawei Shen Yuanhao Liu +2 位作者 Kaike Zhang Qi Cao Xueqi Cheng 《The Innovation》 2025年第10期17-18,共2页
INTRODUCTION.Recommender systems(RSs)have become essential tools for managing the exponential growth of information available online.By analyzing user behavior patterns and inferring user preferences,these systems sig... INTRODUCTION.Recommender systems(RSs)have become essential tools for managing the exponential growth of information available online.By analyzing user behavior patterns and inferring user preferences,these systems significantly enhance user experience by providing personalized recommendations.RSs are applied across diverse domains,from e-commerce platforms to content streaming ser-vices,achieving remarkable improvements in user engagement,customer satisfaction,and business performance. 展开更多
关键词 analyzing user behavior patterns recommender systems content streaming personalized recommendationsrss safety concerns user behavior PERSONALIZATION enhance user experience
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