Game-theoretic insights to the operation of autonomic and opportunistic networks Participatory and urban sensing in autonomic and opportunistic networks Trust, security, and reputation in context-aware systems
These features are passed through corresponding networks, MANM and GFRM. Content-specific features such as toxicity features from text and captions from images are also extracted to gain insights into the content. Content-specific features are passed through CFLM. Next, the refined features are ...
- Mobile Networks and Applications – Springer (SCI-E, IF=2.602) - Concurrency and Computation: Practice and Experience – Wiley (SCI-E, IF=1.167) – Special issue is opening soon! All accepted authors are eligible to submit an extended version in a fast track of: - EAI Endorsed ...
behavior, and activity. This contextual information can be used as an additional information source to improve traditional recommendation algorithms. This paper describes a framework to detect the current context and activity of the user by analyzing data retrieved from different sensors available on...
Graph neural networks: foundations, frontiers, and applications. Singapore: Springer Nature Singapore; 2022. p. 483–497. https://doi.org/10.1007/978-981-16-6054-2_22. Carbonell M, Riba P, Villegas M, Fornes A, Llados J. Named entity recognition and relation extraction with graph neural ...
Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions 2024, Archives of Computational Methods in Engineering Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges 2023, ACM Computing Surveys Multimodal Emotion Recognition wit...
SPIE SPRA 2026 SPIE--2026 6th Symposium on Pattern Recognition and Applications (SPRA 2026) IEEE CNCIT 2025 2025 4th International Conference on Networks, Communications and Information Technology (CNCIT 2025) ICARA--EI 2026 2026 The 12th International Conference on Automation, Robotics and Applica...
emoLearnAdapt: A new approach for an emotion-based adaptation in e-learning environments 2024, Education and Information Technologies Contextual Recommendations: Dynamic Graph Attention Networks With Edge Adaptation 2024, IEEE Access Dropout prediction and decision feedback supported by multi temporal sequenc...
4.2. Q2: What Are the Challenges in Context-Aware Edge-Based AI for Sensor Networks? In order to answer the question Q2, the main challenges have been identified and are shown in Figure 12. These are Human Activity Recognition (HAR), monitoring, Quality of Service (QoS), energy saving, ...
Moreover, using knowledge-based networks to identify the veracity of news by checking the facts would give extraordinary and correct fake news classification results. Furthermore, future endeavours should consider adapting and refining these indicators to suit the specific linguistic and cultural nuances ...