[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 …

A BiLSTM-Based Feature Fusion with CNN Model: Integrating Smartphone Sensor Data for Pedestrian Activity Recognition

R Sabah, MC Lam, F Qamar, BB Zaidan - IEEE Access, 2024 - ieeexplore.ieee.org
Given the wide range of sensor applications, pedestrian activity recognition research using
smartphone sensors has gained significant attention. Recognizing activities can yield …

GNet-FHO: A Light Weight Deep Neural Network for Monitoring Human Health and Activities

AR Kumar, D Sumathi - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

Stacking/Ensemble Model for Smartphone-Based Human Activity Recognition using Feature Engineering

P Pal, PK Rai - The Second Tiny Papers Track at ICLR 2024 - openreview.net
Human activity recognition, commonly known as HAR, involves identifying numerous
physical activities individuals conduct across diverse situations. Examples of such actions …