Results 111 to 120 of about 7,650,707 (279)

Popularity prediction results.

open access: yes, 2019
Popularity prediction results.
Federico Álvarez (745166)   +5 more
core   +1 more source

A Space-Air-Ground Integrated Network Caching Method Based on Clustering Algorithm Content Popularity Prediction

open access: yes天地一体化信息网络
This paper proposed a new space-air-ground integrated network caching method, that was, cluster based content caching method.Based on the space-air-ground integrated network architecture, this method used the extracted content features to predict the ...
Chao QIU, Chenyang WANG
doaj   +2 more sources

A Bayesian Poisson–Gaussian Process Model for Popularity Learning in Edge-Caching Networks

open access: yesIEEE Access, 2019
Edge-caching is recognized as an efficient technique for future cellular networks to improve network capacity and user-perceived quality of experience.
Sajad Mehrizi   +3 more
doaj   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

Online Popularity Prediction Scheme Based on Converging Property in Content Aware Soft Real Time Media Broadcast System

open access: yesDianxin kexue, 2015
A small number of online popular contents are often clicked by a great quantity of users in a short period,and take the most of the wireless cellular network traffic.With popularity prediction,the popular contents would be broadcasted to the potential ...
Huangqing Chen   +3 more
doaj   +2 more sources

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

open access: yesAdvanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska   +2 more
wiley   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

open access: yesAdvanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds   +2 more
wiley   +1 more source

Enhancing Heterogeneous Network Performance: Advanced Content Popularity Prediction and Efficient Caching

open access: yes
With the popularity of smart devices and the growth of high-bandwidth applications, the wireless industry is facing an increased surge in data traffic. This challenge highlights the limitations of traditional edge-caching solutions, especially in terms ...
Zhiyao Sun, Guifen Chen
core   +1 more source

Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications

open access: yesComplexity, 2019
Wireless Sensor Networks (WSNs) have a wide range of applications scenarios in computer vision, from pedestrian detection to robotic visual navigation. In response to the growing visual data services in WSNs, we propose a proactive caching strategy based
Fangyuan Lei   +3 more
doaj   +1 more source

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy