Results 11 to 20 of about 405,909 (257)

Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches [PDF]

open access: yesSensors, 2022
Representation learning seeks to extract useful and low-dimensional attributes from complex and high-dimensional data. Natural language processing (NLP) was used to investigate the representation learning models to extract words’ feature vectors using ...
Lívia Almada Cruz   +6 more
doaj   +2 more sources

Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction [PDF]

open access: yesSensors
With the rapid deployment of edge base stations and the widespread application of 5G technology, Mobile Edge Computing (MEC)has gradually transitioned from a theoretical concept to practical implementation, playing a key role in emerging human-machine ...
Qian Zeng   +6 more
doaj   +2 more sources

A Self-Attention Model for Next Location Prediction Based on Semantic Mining

open access: yesISPRS International Journal of Geo-Information, 2023
With the rise in the Internet of Things (IOT), mobile devices and Location-Based Social Network (LBSN), abundant trajectory data have made research on location prediction more popular.
Eric Hsueh-Chan Lu, You-Ru Lin
doaj   +1 more source

Co-Tracking: Target Tracking via Collaborative Sensing of Stationary Cameras and Mobile Phones

open access: yesIEEE Access, 2020
Tracking moving objects in a city, such as suspicious vehicles or persons, is important for public safety management. Traditionally, target tracking is assisted by the pre-deployed stationary surveillance cameras, which are with insufficient coverage. In
Zhiyong Yu   +5 more
doaj   +1 more source

Predicting Location of Tweets Using Machine Learning Approaches

open access: yesApplied Sciences, 2023
Twitter, one of the most popular microblogging platforms, has tens of millions of active users worldwide, generating hundreds of millions of posts every day. Twitter posts, referred to as “tweets”, the short and the noisy text, bring many challenges with
Mohammed Alsaqer   +4 more
doaj   +1 more source

Predicting Optimal Facility Location without Customer Locations [PDF]

open access: yesProceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017
Deriving meaningful insights from location data helps businesses make better decisions. One critical decision made by a business is choosing a location for its new facility. Optimal location queries ask for a location to build a new facility that optimizes an objective function.
Emre Yilmaz 0002   +2 more
openaire   +3 more sources

Protein subcellular location prediction [PDF]

open access: yesProtein Engineering, Design and Selection, 1999
The function of a protein is closely correlated with its subcellular location. With the rapid increase in new protein sequences entering into data banks, we are confronted with a challenge: is it possible to utilize a bioinformatic approach to help expedite the determination of protein subcellular locations?
K C, Chou, D W, Elrod
openaire   +2 more sources

COME-UP: Computation Offloading in Mobile Edge Computing with LSTM Based User Direction Prediction

open access: yesApplied Sciences, 2022
In mobile edge computing (MEC), mobile devices limited to computation and memory resources offload compute-intensive tasks to nearby edge servers. User movement causes frequent handovers in 5G urban networks. The resultant delays in task execution due to
Sardar Khaliq uz Zaman   +7 more
doaj   +1 more source

Location Prediction of Sperm Cells Using Long Short‐Term Memory Networks

open access: yesAdvanced Intelligent Systems, 2023
Intracytoplasmic sperm injection (ICSI) requires precise selection of a single sperm cell in a dish to be injected into an oocyte. This task is challenging due to high sperm velocity, collision with other sperm cells, and changes in the imaging focus ...
Lioz Noy   +5 more
doaj   +1 more source

A comprehensive comparison and analysis of machine learning algorithms including evaluation optimized for geographic location prediction based on Twitter tweets datasets

open access: yesCogent Engineering, 2023
Given a tweet, a machine learning model when after undertaking the training, development and testing phase is able to predict where the author of the tweet is situated.
Hasti Samadi, Mohammed Ahsan Kollathodi
doaj   +1 more source

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