Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
Abstract: The perception and processing of transparent objects face significant challenges in various applications, primarily due to the limitations of traditional sensors. These sensors often ...
Abstract: This study presents an integrated framework combining 1D-CNN-LSTM-Autoencoder-based anomaly detection with identity authentication using machine learning classifiers. The 1D-CNN-LSTM ...
Abstract: Few-shot object detection (FSOD) aims to recognize novel class targets using limited annotated data. Conventional approaches rely on extensive base class training, followed by fine-tuning ...
Abstract: Under the development of intelligent transportation systems, In-Vehicle Networks (IVNs) serve as a critical channel for both internal and external communications. However, the inherent ...
Abstract: Meters in electrical equipment are often potentially threatened by foreign objects suspended on power lines, which can raise the risk of short circuits or ground faults in the line, leading ...
Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
Abstract: The unique imaging conditions of satellites introduce significant uncertainties in the structure and scale of ground objects, presenting a major challenge for optical remote sensing image ...
Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...
Abstract: Indonesia generated over 60 million tons of waste in 2024, with organic ($41.6 \%$) and plastic ($18.7 \%$) waste being the prevalent types. Low accuracy of existing automated detection ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Abstract: Epilepsy, a persistent neurological condition marked by spontaneous seizures due to uncontrolled functioning of the brain. The uncertain nature of seizures has an immense effect on patients ...