The analysis and comparison of the simulation results show that MA has provided superior performance against competitor algorithms in most benchmark functions. Also, the implementation of MA on four engineering design problems indicates the effective capability of the proposed approach in handling ...
Metaheuristic algorithms based on physics have been designed by drawing inspiration from concepts, phenomena, laws, and forces in physics. Simulated Annealing (SA), for example, is a well-known physics-based metaheuristic algorithm that was inspired by the annealing phenomenon of metals in which the...
Service combines the speed of AI with the reliability of human solvers to bypass captchas like reCAPTCHA and hCaptcha, ensuring uninterrupted automation. The service utilizes OCR based machine learning algorithms to efficiently solve standard captchas, ensuring high performance for speed sensitive tasks....
Therefore, supported and unsupported rearing can be measured as accurately by supervised machine learning algorithms as by human manual scoring, the gold standard in the field (Fig. S10). To address whether our approach can be directly implemented in female mice and in animals of different ages,...
Brains and algorithms partially converge in natural language processing Introduction Language comprehension is a fundamentally constructive process. We resolve local dependencies among words to assemble lower-level linguistic units into higher-level units of meaning1,2,3,4,5,6, ultimately arriving at the...
Level Set Theory based image processing is employed to obtain the contour of the ear image. A few Level set algorithms are compared for their efficiency in segmenting test ear images.doi:10.5121/ijci.2013.2407Bijeesh T. VNimmi I. ParXiv...
Our main purpose is to construct a mobility model for wireless nodes, while the context is more focused on evaluating different mobile network protocols and algorithms, through either analytical modeling or simulation. Nodes in mobile networks are often carried by people. We are aiming, in this ...
Oxford Commission on AI & Good Governance Google Scholar Ryck MD, Verstayhe M, Debrouwere D (2020) Automated guided vehicle systems, state-of-the-art control algorithms and techniques. J Manuf Syst 54:152 Article Google Scholar Download references...
(AI) and computer vision, novel approaches have emerged, offering biologists and neuroscientists the potential to not only estimate densities but also obtain spatial coordinates of individual neurons3,4,5,6, a much finer-grained estimation of neuron densities. Supervised segmentation algorithms based ...
Cluster separation is a task typically tackled by widely used clustering techniques, such as k-means or DBSCAN. However, these algorithms are based on non-perceptual metrics, and our experiments demonstrate that their output does not reflect human cluster perception. To bridge the gap between ...