Activation functions are essential components in any neural network model; they play a crucial role in determining the network’s expressive power through their introduced non-linearity. Rectified ...

Abstract: Attribute-based encryption (ABE) requires several elliptic-curve-based functions, including elliptic-curve scalar multiplication (ECSM), hashing to the curve, and pairing. Although these ...

Abstract: A parallel parking path planning method aiming at the automatic parking application scene of parallel parking in narrow space of urban roadside parking lot is proposed in the paper, based on ...

Abstract: Topology optimizations involving evolutionary algorithms are promising approaches to solve practical engineering design problems, since their use of derivation-free algorithms makes them ...

Abstract: Image-domain least-squares migration (LSM) has demonstrated promising potential in enhancing the spatial resolution of migration images effectively and efficiently. However, existing ...

Abstract: This article proposes an inverse design method based on numerical Green’s function (NGF-IDM) to achieve the intelligent and efficient design of waveguide devices. Inspired by the metal ...

Abstract: The function labeling of enzymes has a wide range of application value in the medical field, industrial biology and other fields. Scientists define enzyme categories by enzyme commission (EC ...

Abstract: Multiple response optimization (MRO) aims to obtain an optimal solution by optimizing several responses simultaneously for quality improvement. The preference parameters in the traditional ...

Constant modulus waveform design for ambiguity function (AF) shaping is an important technology in MIMO radar systems. This problem is quartic and non-convex due to the constant modulus constraint ...

Forbes contributors publish independent expert analyses and insights. Paul Hsieh, M.D., covers healthcare economics, innovation, and policy. It is too easy to focus on bad news and stressful events, ...