Results 41 to 50 of about 30,851 (169)

Utilizing Advanced Transformers for Summarized Review-Aware Recommender System

IEEE Access
With the rapid growth of e-commerce and increase in the volume of online user reviews, personalized recommender systems have become essential for helping users efficiently identify items of interest.
Suji Kim, Li Jin, Qinglong Li, Xinzhe Li, Chulkyoon Yoon, Jaekyeong Kim   +5 more
doaj   +1 more source

A Deep Learning-Based Review Helpfulness Prediction System for Online Beauty Products

IEEE Access
The global beauty industry has been rapidly expanding, and consumers increasingly rely on online reviews to obtain information about product safety, effectiveness, and personal suitability. Since the effectiveness of beauty products varies with skin type,
Sooil Kim, Seonu Park, Xinzhe Li, Jaekyeong Kim   +3 more
doaj   +1 more source

An Outlook on Big Data and Big Data Analytics

International Journal of Computer Applications, 2015
The rapid growth in the field of technology in the last 10 years has generated a large amount of data which is structured, semi structured, as well as unstructured in nature. This large amount of data has been generated by the excessive use of the Internet, the growing popularity of the social networking sites like Facebook, Twitter, Quora, Linkedin ...
Nilay Khare, Swapnil Lokhande
openaire   +1 more source

Predicting all-cause mortality and premature death using interpretable machine learning among a middle-aged and elderly Chinese population

Heliyon
Objective: To develop machine learning-based prediction models for all-cause and premature mortality among the middle-aged and elderly population in China.
Qi Yu, Lingzhi Zhang, Qian Ma, Lijuan Da, Jiahui Li, Wenyuan Li   +5 more
doaj   +1 more source

Development and validation of deep learning- and ensemble learning-based biological ages in the NHANES study

Frontiers in Aging Neuroscience
IntroductionConventional machine learning (ML) approaches for constructing biological age (BA) have predominantly relied on blood-based markers, limiting their scope.
Yushu Huang, Xifan Yang, Qi Wang, Adila Abula, Yue Dong, Wenyuan Li, Wenyuan Li   +6 more
doaj   +1 more source

A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways

ISPRS International Journal of Geo-Information
This study presents an algorithm for measuring Pedestrian Congestion and Safety on alleyways, wherein pedestrians and vehicles share limited space, making traditional pedestrian density metrics inadequate.
Jiyoon Lee, Youngok Kang
doaj   +1 more source

A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments

Journal of Marine Science and Engineering
In this study, an improved stable multi-object simple online and real-time tracking (StableSORT) algorithm that was specifically designed for maritime environments was proposed to address challenges such as camera instability and irregular object motion.
Young-Suk Han, Jae-Yoon Jung
doaj   +1 more source

Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease

Respiratory Research
Background Chronic obstructive pulmonary disease (COPD) is a frequently diagnosed yet treatable condition, provided it is identified early and managed effectively.
Zecheng Zhu, Shunjin Zhao, Jiahui Li, Yuting Wang, Luopiao Xu, Yubing Jia, Zihan Li, Wenyuan Li, Gang Chen, Xifeng Wu   +9 more
doaj   +1 more source

PGTFT: A Lightweight Graph-Attention Temporal Fusion Transformer for Predicting Pedestrian Congestion in Shadow Areas

ISPRS International Journal of Geo-Information
Forecasting pedestrian congestion in urban back streets is challenging due to “shadow areas” where CCTV coverage is absent and trajectory data cannot be directly collected.
Jiyoon Lee, Youngok Kang
doaj   +1 more source

Correction: Lee, J.; Kang, Y. A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways. ISPRS Int. J. Geo-Inf. 2024, 13, 434

ISPRS International Journal of Geo-Information
We would like to address and correct errors found in the original publication of our article [...]
Jiyoon Lee, Youngok Kang
doaj   +1 more source