A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Federated Sensing: Edge-Cloud Elastic Collaborative Learning for Intelligent Sensing
The advancements of AI and the exponential growth of sensory data are unlocking a wave of
intelligent sensing applications. To overcome the shortcoming of centralized learning and …
intelligent sensing applications. To overcome the shortcoming of centralized learning and …
Ensemble application of bidirectional LSTM and GRU for aspect category detection with imbalanced data
E-commerce websites produce a large number of online reviews, posts, and comments
about a product or service. These reviews are used to assist consumers in buying or …
about a product or service. These reviews are used to assist consumers in buying or …
Federated region-learning for environment sensing in edge computing system
In the last decades, environmental pollution has grown up to be a major problem that
influences people's health. Providing accurate environmental sensing services is of great …
influences people's health. Providing accurate environmental sensing services is of great …
Development of intelligent electronic document management system model based on machine learning methods
M Sambetbayeva, I Kuspanova… - … -European Journal of …, 2022 - papers.ssrn.com
With the daily increase in document flow, as well as the transition to paperless document
management around the world, the demand for electronic document management systems …
management around the world, the demand for electronic document management systems …
Combining SMOTE sampling and machine learning for forecasting wheat yields in France
This paper describes a method of predicting wheat yields based on machine learning, which
accurately determines the value of wheat yield losses in France. Obtaining reliable value …
accurately determines the value of wheat yield losses in France. Obtaining reliable value …
Imbalanced aspect categorization using bidirectional encoder representation from transformers
Sentiment analysis (also called opinion mining) is one of the widely used research fields of
natural language processing. E-commerce service providers use this technique to analyze …
natural language processing. E-commerce service providers use this technique to analyze …
A systematic mapping study on agent mining
E Grislin-Le Strugeon, K Marcal de Oliveira… - … of Experimental & …, 2022 - Taylor & Francis
Over the past two decades, many studies have been published in diverse fields of
application combining agent abilities (knowledge processing, communication, learning …
application combining agent abilities (knowledge processing, communication, learning …
Development of a fully data-driven artificial intelligence and deep learning for URLLC application in 6g wireless systems: a survey
The future of the sixth generation (6G) involves the development of a fully data-driven
method that provides terabit rate per second, and adopts over 1000 connections per person …
method that provides terabit rate per second, and adopts over 1000 connections per person …
Hybrid Algorithm Selection and Hyperparameter Tuning on Distribute Machine Learning Resources: Hierarchical Agent-based Approach
A Esmaeili, J Rayz, E Matson - ACM Transactions on Internet …, 2024 - dl.acm.org
Algorithm selection and hyperparameter tuning are critical steps in both academic and
applied machine learning (ML). These steps are becoming increasingly delicate due to the …
applied machine learning (ML). These steps are becoming increasingly delicate due to the …