background: precise diagnosis of disease risk factors via efficient statistical models is the primary step for reducing the heavy costs of breast cancer, as one of the most highly prevalent cancer throughout the world. therefore, the aim of this study was to present a recently introduced statistical model in order to assess its proficiency for model fitting. methods: the information of 1465 eli...

‎The first variable Zagreb index of graph $G$ is defined as‎ ‎begin{eqnarray*}‎ ‎M_{1,lambda}(G)=sum_{vin V(G)}d(v)^{2lambda}‎, ‎end{eqnarray*}‎ ‎where $lambda$ is a real number and $d(v)$ is the degree of‎ ‎vertex $v$‎. ‎In this paper‎, ‎some upper and lower bounds for the distribution function and expected value of this index in random increasing trees (rec...

In the early two-thousands, Recursive Petri nets have been introduced in order to model distributed planning of multi-agent systems for which counters and recursivity were necessary. Although strictly extend context-free grammars, most usual problems (reachability, coverability, finiteness, boundedness termination) known be solvable by using non-primitive recursive algorithms. For almost all ot...

Most of existing detection pipelines treat object proposals independently and predict bounding box locations and classification scores over them separately. However, the important semantic and spatial layout correlations among proposals are often ignored, which are actually useful for more accurate object detection. In this work, we propose a new EM-like group recursive learning approach to ite...

This paper presents the design of space-time turbo trellis coded modulation (ST turbo TCM) for improving the bandwidth efficiency and the reliability of future wireless data networks. We present new recursive space-time trellis coded modulation (STTC) which outperform feedforward STTC proposed by Tarokh et al. (1998) and Baro et al. (2000) on slow and fast fading channels. A substantial improve...

Constrained multibody systems typically feature multiple closed kinematic loops that constrain the relative motions and forces within the system. Typically, such systems possess far more articulated degrees-of-freedom (within the chains) than overall end-effector degrees-of-freedom. Thus, actuation of a subset of the articulations creates mixture of active and passive joints within the chain. T...

Metallurgical design of microalloyed steel used to be a challenge due to its multivariate nature. Over ten kinds of microalloying elements and multi-step processing routes have complex interactions and different contributions to the final mechanical properties. Data-driven model is able to throw a rapid insight into the composition-processing -property correlation of steel metallurgy in a syste...

We investigate in this paper an alternative method to simulation based recursive importance sampling procedure to estimate the optimal change of measure for Monte Carlo simulations. We propose an algorithm which combines (vector and functional) optimal quantization with Newton-Raphson zero search procedure. Our approach can be seen as a robust and automatic deterministic counterpart of recursiv...

This paper presents a novel optimization technique for the design of application specific integrated circuits dedicated to perform iterative or recursive time-critical sections of multi-dimensional problems, such as image processing applications. These sections are modeled as cyclic multi-dimensional data flow graphs (MDFGs). This new technique, called multi-dimensional interleaving consists of...

This report presents a new technique for visual matching of images for the purpose of object recognition and shape matching by employing a multi-hypothesis approach. The approach is based on an analogy between multi-robot localization and object recognition. The algorithm is recursive with each individual step verifying fragments of different objects while guiding the focus towards discriminati...