Optics inspired optimization (OIO) is one of the recent meta-heuristic techniques used to solve a wide range of NP-Hard problems. In this study, firstly an OIO based CH selection algorithm is proposed by considering various parameters such as energy, distance and node degree. Next, clusters ...
1. Additions and improvements to analysis, optimization, and customization Analysis and optimization are now more accurate than ever, whether you are working in semi-conductor technology, imaging systems, or lighting and illumination. AnalysingDCR(Dark Count Rate) and crosstalk ofSPADs(Single Photon Av...
In this paper, we report a 1 cm ( ~ 1000λ) aperture, f/1 (numerical aperture (NA): 0.45) broadband polarization-insensitive LWIR meta-optics, designed by a multi-scale optimization technique that maximizes the wavelength-averaged volume under the modulation transfer function (MTF) of the...
This article reviews the latest developments in AI applications within this field, highlighting their roles in initial design generation, optimization, and performance prediction. It also addresses the benefits of AI, such as improved accuracy and performance, alongside challenges like data requirements, ...
Modelling and design of human eye inspired concentric cylindrical metalens Vishakha Sharma, Yogita Kalra, Ravindra Kumar Sinha Article 130627 select article Huygens’ metasurface: From anomalous refraction to reflection Research articleAbstract only
In particular, we look forward to the interdisciplinary crossover for disruptive or game-changing discoveries. Topics to be featured in this issue include the wearable devices, 3D imaging and sensing, bio-inspired devices, vision sciences, etc....
Particle Swarm Optimization (PSO) [35], Differential Evolution (DE) [36], Genetic Algorithm (GA) [37,38], Artificial Bee Colony (ABC) optimization [39], and the Firefly Algorithm [40] are all nature-inspired optimization techniques that solve complex problems by mimicking biological or ...
Bayesian optimization: open source constrained global optimization tool for Python. GitHub https://github.com/fmfn/BayesianOptimization (2014). Download references Acknowledgements A.A.-G. acknowledges support from the Canada 150 Research Chairs Program, the Canada Industrial Research Chair Program and ...
Professor Andrew Ng may not teach the most comprehensive lectures but he has inspired millions to study data science. This repository attempts to replicate every algorithm mentioned in the course as well as the popular ones outside of the course. The experienced coders urge us not to reinvent ...
This repository is based upon thecourse materialby Stanford University. Professor Andrew Ng may not teach the most comprehensive lectures but he has inspired millions to study data science. This repository attempts to replicate every algorithm mentioned in the course as well as the popular ones out...