Results 61 to 70 of about 7,650,707 (279)

Online Learning Models for Content Popularity Prediction in Wireless Edge Caching [PDF]

2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
9 figure, 29 ...
Navneet Garg 0001, Mathini Sellathurai, Bharath Bettagere, Vimal Bhatia, Tharmalingam Ratnarajah   +4 more
openaire   +3 more sources

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

Arthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

A survey on social media popularity prediction: concepts, technologies, applications, and challenges

Journal of King Saud University: Computer and Information Sciences
Due to the rapid development of user scale, interactive forms, and social media content diversity on social platforms, social media popularity prediction, aiming to predict the popularity of user generated content on social network according to ...
Yanchao Liu, Qinling Lei, Zhen Liu, MingChao Zhao, Ze Xu, Lei Shi   +5 more
doaj   +1 more source

TS-based Mobility-aware Multi-hierarchical Caching Model with Vehicle Clustering and Content Popularity Prediction

Journal of Telecommunications and Information Technology
This research is concerned with the fusion of artificial intelligence (AI) and machine learning within multi-hierarchical caching systems, specifically targeting vehicular and edge caching domains.
Radouane Baghiani, Lyamine Guezouli, Ahmed Korichi   +2 more
doaj   +1 more source

Research and Analysis of Popularity Prediction of Film and Television Content Based on Machine Learning [PDF]

ITM Web of Conferences
With the rapid development of the digital entertainment industry, accurately predicting the popularity of film and television content is of great significance for optimizing recommendation systems and making business decisions on content platforms.
Liu Yutong
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Predicting the popularity of new video for cold start problem

, 2021
Predicting video popularity is an important task involved in managing video-sharing sites. Although many previous studies have investigated this problem, a weakness common to these studies is that their predictions rely on video access data from the past.
張嘉玲
core  

Prediction model of coal seam gas content based on ACSOA optimized BP neural network

, 2022
For the problem of coal seam gas content prediction, the influencing factors of coal seam gas content were analyzed by taking No.2 coal seam of Chensilou Coal Mine as the research object.
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
core   +1 more source

A Novel Caching Policy with Content Popularity Prediction and User Preference Learning in Fog-RAN [PDF]

, 2017
In this paper, the edge caching problem in fog radio access networks (F-RAN) is investigated. By maximizing the cache hit rate, we formulate the edge caching optimization problem to find the optimal edge caching policy.
Miaoli Ma, Jiang, Yanxiang, You, Xiaohu, Xiaohu You, Ma, Miaoli, Yanxiang Jiang, Bennis, Mehdi, Mehdi Bennis, Zheng, Fuchun, Fuchun Zheng   +9 more
core   +2 more sources