Machine learning-based automatic litter detection and classification using neural networks in smart cities

M Malik, C Prabha, P Soni, V Arya… - … Journal on Semantic …, 2023 - igi-global.com
Abstract Machine learning and deep learning are one of the most sought-after areas in
computer science which are finding tremendous applications ranging from elementary …

Integrated and Accountable Data Sharing for Smart Grids With Fog and Dual-Blockchain Assistance

S Liu, L Chen, L Chen, J Lai - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Combining a fog layer to aggregate and process data for smart grids is a straightforward
approach, yet it inevitably leads to trust issues and audition difficulty. Most existing data …

Channel Semantic Enhancement-Based Emotional Recognition Method Using SCLE-2D-CNN

D Fu, W Yang, L Pan - International Journal on Semantic Web and …, 2024 - igi-global.com
The existing EEG emotion classification methods have some problems, such as insufficient
emotion representation and lack of targeted channel enhancement module due to feature …

Personalized POI Recommendation Using CAGRU and Implicit Semantic Feature Extraction in LBSN

H Ye, Y Chen - International Journal on Semantic Web and …, 2024 - igi-global.com
With the intention of addressing the concern that existing point of interest recommendation
methods fail to fully utilize the auxiliary information of the point of interest, from which it is …