Slender flexible objects are ubiquitous in real-world circumstances. The existing object detection and segmentation algorithms have achieved high accuracy speed rigid objects, but the effect of slender is not ideal. Extreme aspect ratios dynamically changeable geometric appearance characterize to extent that it difficult locate them instance segmentation. In this paper, a new method based on co...

‎In this essay we introduce and study the notion of dimension for observers via Caratheodory structures and relative probability measures‎. ‎We show that the dimension as a three variables function is an increasing function on observers‎, ‎and decreasing function on the cuts of an observer‎. ‎We find observers with arbitrary non-negative dimensions‎. ‎We show that Caratheodory dimension for obs...

‎In this paper‎, ‎a coherent system consisting of non-identical dependent active components and‎ ‎equipped with non-identical dependent standby components is considered‎. ‎The main object of this study is the random quantity‎ ‎which account the number of surviving standby components when the system‎ ‎is failed‎. ‎We represent the distribution function of the corresponding random variable in ter...

We propose a novel scheme for using supervised learning for function based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical description of object classes is constructed. The object classes are described in terms of functional components. The multi-level hierarchy is designed and constructed using a large set of signature-based reasoning and...

the object of this paper is to establish certain generalized fractional integration and differentiation involving generalized mittag-leffler function defined by salim and faraj [25]. the considered generalized fractional calculus operators contain the appell's function $f_3$ [2, p.224] as kernel and are introduced by saigo and maeda [23]. the marichev-saigo-maeda fractional calculus operat...

Object detection is an important process in surveillance system to locate objects and it considered as major application computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object achieve higher performance. However, existing some limitations such overfitting problem lower efficiency small detection. remote sensing hasthe of low detecti...