Abstract: Moyamoya Disease is a complex cerebrovascular disorder, and surgeons diagnose it by establishing anatomical correspondence between 3D Time of Flight Magnetic Resonance Angiography (TOF-MRA) ...

Disney considered "thousands of AI companies" before backing one that keeps the animators in control of the output.

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into descriptive sentences.

Abstract: Pneumonia is one of the most relevant and dangerous chest diseases in the world. It can be detected through images generated by Chest X-Rays (CXR) or CT scans. In recent years, several ...

Abstract: In recent years, deep neural networks have shown promising results in modern fault diagnosis. This paper focuses on diagnosing actuator faults in quadcopters using a deep learning strategy.

Abstract: In recent years, the demand for realistic and responsive digital characters has grown rapidly, especially in areas like gaming, virtual reality, and interactive media. However, traditional ...

Abstract: Free-space optical (FSO) communication systems, though advantageous in terms of bandwidth and security, are highly susceptible to deliberate jamming attacks, particularly under intensity ...

Abstract: The increasing demand for reliable, sustainable, and efficient energy systems is accelerating the adoption of innovative technologies in the power sector. Among these advancements, the ...

Abstract: Heart disease is one of the leading causes of death worldwide, emphasizing the urgent need for accurate and early prediction systems. Traditional diagnostic methods often involve manual ...

Abstract: To address the domain shift issue arising from acoustic discrepancies between training and testing data in machine anomalous sound detection, this study proposes a novel method based on a ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Abstract: UAV imagery is widely used in areas like traffic safety, disaster rescue, and airspace management, due to its small size and low cost. However, it poses unique challenges for object ...