Security Issues and Challenges for IoT-based Smart Multi Energy Carrier Systems
The Internet of Things (IoT) is revolutionizing the energy sector by providing a platform for
energy hubs to connect and manage energy resources. IoT-enabled energy hubs allow …
energy hubs to connect and manage energy resources. IoT-enabled energy hubs allow …
A survey on recommender systems using graph neural network
V Anand, AK Maurya - ACM Transactions on Information Systems, 2024 - dl.acm.org
The expansion of the Internet has resulted in a change in the flow of information. With the
vast amount of digital information generated online, it is easy for users to feel overwhelmed …
vast amount of digital information generated online, it is easy for users to feel overwhelmed …
Al-based Traffic System: A Novel Approach
HA Sakr, A Yasser, E Elzimity, M Hazim… - … Middle East Power …, 2023 - ieeexplore.ieee.org
The notion of smart cities has recently gained popularity. We are experiencing traffic
congestion as the number of automobiles in metropolitan areas grows. The development of …
congestion as the number of automobiles in metropolitan areas grows. The development of …
BiLSTCAN: A novel SRS-based bidirectional long short-term capsule attention network for dynamic user preference and next-item recommendation
Numerous research efforts are endeavoring to boost the performance of dynamic user
preferences and next-item recommendations, which are pivotal tasks within sequential …
preferences and next-item recommendations, which are pivotal tasks within sequential …
The Application of Knowledge Graph Convolutional Network-Based Film and Television Interaction Under Artificial Intelligence
H Yang, JH Li, SG Jahng - IEEE Access, 2024 - ieeexplore.ieee.org
This study aims to explore the application and innovation of deep learning in film and
television interaction in the context of artificial intelligence. By analyzing the interaction …
television interaction in the context of artificial intelligence. By analyzing the interaction …
Enhancing performance of movie recommendations using LSTM with meta path analysis
Movie recommendation algorithms play an important role in assisting consumers in
identifying films that match their likes. Deep Learning, particularly Long Short-Term Memory …
identifying films that match their likes. Deep Learning, particularly Long Short-Term Memory …
A Framework for Confidential Document Leakage Detection and Prevention
Nowadays, With the spread of information crimes, the protection of confidential and sensitive
data and documents from leakage and publication has become a major concern for …
data and documents from leakage and publication has become a major concern for …
SES-Net: A Novel Multi-Task Deep Neural Network Model for Analyzing E-learning Users' Satisfaction via Sentiment, Emotion, and Semantic
Understanding users' satisfaction is fundamental for enhancing the effectiveness and
usability of e-learning platforms. The existing approaches for analyzing users' satisfaction …
usability of e-learning platforms. The existing approaches for analyzing users' satisfaction …
Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration
Q Wang, E **, H Zhang, Y Chen, Y Yue, DB Dorado… - Information, 2024 - mdpi.com
Personalized recommender systems play a crucial role in assisting users in discovering
items of interest from vast amounts of information across various domains. However …
items of interest from vast amounts of information across various domains. However …
From Code to Ratings: Converting Programming Data to Enhance Collaborative Filtering in Educational Online Judge Systems
DM Muepu, Y Watanobe - IEEE Access, 2024 - ieeexplore.ieee.org
This study introduces and compares three innovative approaches for recommending
programming problems within an Online Judge system (OJ), tackling the challenge of …
programming problems within an Online Judge system (OJ), tackling the challenge of …