Leveraging machine learning and low-cost hardware for economical wind-driven water level prediction
Although the prospect of the Internet of Things (IoT) is almost unlimited, developing IoT techniques can look discouraging, demanding a multidomain expertise and complex web infrastructure. Combining machine learning and data analytics by smart ...
Detecting and tracking a road-drivable area with three-dimensional point clouds and IoT for autonomous applications
- Mahmood H. Enad,
- Omar I. Dallal Bashi,
- Shymaa Mohammed Jameel,
- Asaad A. Alhasoon,
- Yasir Mahmood Al Kubaisi,
- Husamuldeen K. Hameed
This work presents a Light Detection and Ranging (LiDAR)-based point cloud method for detecting and tracking road edges. Initially, this work explores the progress in detecting road curb issues. A dataset (called PandaSet) with a Pandar64 sensor ...
Blockchain for real estate provenance: an infrastructural step toward secure transactions in real estate E-Business
In the rapidly evolving digital era, the growing trend of conducting real estate e-business transactions through online platforms has led to escalated challenges in ensuring transactional security and trust. These challenges underscore the ...
Assessment of energy-efficient wireless network using autoencoders with unsupervised deep learning
The propagation of wireless networks in e-business applications demands efficient and robust anomaly detection techniques to ensure data security and reliable communication. A conventional autoencoder is learned to efficiently compress data as an ...
Review on deep learning classifiers for faults diagnosis of rotating industrial machinery
Rotating industrial machinery underpins manufacturing and infrastructure, yet robust fault diagnosis remains crucial for optimizing efficiency and minimizing downtime. This review comprehensively analyzes the transformative impact of Deep Learning ...
