Abstract: One of the most significant and difficult issues in medical image processing is brain tumor segmentation (BTS) as human classification might cause improper diagnosis and prognosis.

Abstract: This article introduces a comprehensive multiagent prototype system designed to enhance the autonomous navigation capabilities of vehicles by incorporating numerous sensors and components.

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...

Abstract: During semiconductor manufacturing, wafer defect patterns emerge in an uncontrolled environment, making immediate recognition challenging. To enhance the classification accuracy in pattern ...

Abstract: This study investigates the performance of AI classifiers in classifying motions of individual fingers for prosthetic hand using a varying number of tactile sensors. Specifically, we compare ...

Abstract: In IoT-enabled Wireless Sensor Networks (WSNs), effective energy utilization and fault tolerance are essential for extended network functionality and dependable data delivery. These networks ...