[HTML][HTML] Enhancing Urban Electric Vehicle (EV) Fleet Management Efficiency in Smart Cities: A Predictive Hybrid Deep Learning Framework
M Aldossary - Smart Cities, 2024 - mdpi.com
Highlights What are the main findings? The GNN-ViGNet model achieved 98.9% accuracy in
forecasting EV charging loads, setting a new standard in predictive analytics. The Coati …
forecasting EV charging loads, setting a new standard in predictive analytics. The Coati …
A BiLSTM-Based Feature Fusion with CNN Model: Integrating Smartphone Sensor Data for Pedestrian Activity Recognition
Given the wide range of sensor applications, pedestrian activity recognition research using
smartphone sensors has gained significant attention. Recognizing activities can yield …
smartphone sensors has gained significant attention. Recognizing activities can yield …
GNet-FHO: A Light Weight Deep Neural Network for Monitoring Human Health and Activities
Regular monitoring of physical activities is essential in mitigating the risks associated with
diseases like heart problems, obesity, and diabetes. Recent studies have emphasized the …
diseases like heart problems, obesity, and diabetes. Recent studies have emphasized the …
MGRBA: Gas Recognition With Biclustering and Adaboost
R Zhou, J Wang, K Huang, H Wang, Z Chen - IEEE Access, 2023 - ieeexplore.ieee.org
Gas recognition has been widely used in many fields such as air quality monitoring in
dangerous areas. However, existing recognition methods suffer from two limitations: first, the …
dangerous areas. However, existing recognition methods suffer from two limitations: first, the …
A Review on Transformer-Based Methods for Human Activity Recognition
FS Lesani, R Fatahi - International Journal of Web Research, 2024 - ijwr.usc.ac.ir
With the expansion of smart homes, Human Activity Recognition (HAR) has become a key
challenge in artificial intelligence, enhancing not only the comfort and safety of residents but …
challenge in artificial intelligence, enhancing not only the comfort and safety of residents but …
BERT Model Adoption for Sarcasm Detection on Twitter Data
T Javed, MA Nouman, R Zahid - VFAST Transactions on Software …, 2024 - vfast.org
Sarcasm is a term used to criticize someone's feelings. Sometimes, humans are not able to
identify sarcastic comments, and they typically express the reverse of what they mean when …
identify sarcastic comments, and they typically express the reverse of what they mean when …
Emergency Activity Tracking: An Intelligent System for Monitoring Human Activity
BJ Chelliah, VA Ram, N Krishnan… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
In emergency scenarios like kidnappings or terrorist attacks, retracing individuals'
movements within a building or location is crucial for identifying perpetrators or victims …
movements within a building or location is crucial for identifying perpetrators or victims …
Stacking/Ensemble Model for Smartphone-Based Human Activity Recognition using Feature Engineering
Human activity recognition, commonly known as HAR, involves identifying numerous
physical activities individuals conduct across diverse situations. Examples of such actions …
physical activities individuals conduct across diverse situations. Examples of such actions …