Sandipkumar R. Panchal

Advancing Underwater Object Detection: A Comparative Study of YOLOv5s, YOLOv8s, and YOLOv11s with Bias Analysis

Environmental distortions and dataset-induced bias are challenges for underwater object detection due to the impact on model generalization. This research paper focuses on bias in the RUOD dataset and compares the performance of YOLOv5s, YOLOv8s, and YOLOv11s with 9,800 training images. Precision, Recall, and mean Aver...

Access Control Framework for Smart Systems in IoT Environment: A Review of Significance, Challenges & Future Directions

As the number of Internet of Things (IoT) devices continues to grow, access control is becoming an increasingly key component in smart home, healthcare, industrial and urban environments. However, the nature of IoT environments, such as device heterogeneity, extreme resource constraints, vast deployment, and dynamic an...

Sentiment-aware reinforcement learning for algorithmic trading