Abstract: The phase-sensitive optical time domain reflectometry (Φ-OTDR) is a powerful tool for a variety of applications, such as pipeline safety monitoring, perimeter safety, and geological ...

Abstract: Total Hip Arthroplasty (THA) is one of the most performed surgical procedures to treat osteoarthritis of the hip joint or other skeletal disorders, such as Developmental Dysplasia of the Hip ...

Abstract: Present day innovative technologies like object identification, image division and photo creation are based different values of high-resolution picture processing. In the last few years, ...

Abstract: A three-way clustering algorithm based on image processing is proposed by combining blurring and sharpening operations in digital image processing. The proposed algorithm quantifies the ...

Abstract: Pallet detection and localization is a fundamental task in the process of logistics automation. Accurate estimation of the pallet's pose contributes to enhanced efficiency and safety. This ...

Abstract: Segmenting objects in an environment is a crucial task for autonomous driving and robotics, as it enables a better understanding of the surroundings of each agent. Although camera sensors ...

Abstract: The significance of the saying “a picture is worth a thousand words” is evident in our daily experiences, showcasing the profound impact of images. This paper delves into the contemporary ...

Abstract: Floating-point (FP) multipliers are critical components in high-performance computing systems, particularly in signal processing, graphics, and machine learning applications. However, ...

Abstract: Digital Holographic Microscopy (DHM) can obtain three-dimensional (3D) information about the fine structure of an object by utilizing the phase information of coherent light. In DHM, during ...

Abstract: As powerful image editing software are more readily available, authentication of digital images poses a great problem. Most older forgery detection techniques relying on metadata inspection ...

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...

Abstract: Medical image augmentation is a cornerstone of enhancing the performance and generalization of machine learning models in the medical domain. Traditional augmentation techniques, including ...