Today, information networks play an important role in supply chain management. Therefore, in this article, clustering-based routing protocols, which are one of the most important ways to reduce energy consumption in wireless sensor networks, are used to optimize the supply chain informational cloud network. Accordingly, first, a clustering protocol is presented using self-organizing map neu...

This paper is based on the research on Human Brain Tumor which uses the MRI imaging technique to capture the image. In this proposed work Brain Tumor area is calculated to define the Stage or level of seriousness of the tumor. Image Processing techniques are used for the brain tumor area calculation and Neural Network algorithms for the tumor position calculation. Also in the further advancemen...

Chung and Ross [SIAM J. Comput., 20 (1991), pp. 726–736] conjectured that the multirate three-stage Clos network C(n, 2n− 1, r) is rearrangeable in the general discrete bandwidth case; i.e., each connection has a weight chosen from a given finite set {p1, p2, . . . , pk} where 1 ≥ p1 > p2 > · · · > pk > 0 and pi is an integer multiple of pk, denoted by pk | pi, for 1 ≤ i ≤ k − 1. In this paper,...

Many computer game developers have adopted network technologies for value-adding purposes at several stages of the corporate value chain. In this paper, we suggest that this adoption extends the current notion of developing e-commerce by including ongoing interaction with the consumers concerning what is being produced. On the basis of an interpretive case study, this paper outlines the process...

Abstraet--A neural network approach is proposed to build the first stage of an Automatic Handwritten Signature Verification System. The directional Probability Density Function was used as a global shape factor and its discriminating power was enhanced by reducing its cardinality via filtering. Various experimental protocols were used to implement the backpropagation network (BPN) classifier. A...

The aim of the paper is to introduce a concurrent fuzzy neural network approach, representing a winner-takes-all collection of fuzzy Gaussian modules. Our proposed model will be applied for the pattern classification. The fuzzy neural model consists of a set of M fuzzy neural networks, one for every class, each network having a single output. The output value corresponding to the M k k , 1 ,  ...

Studies that use rivers in a last-mile delivery context are scarce. This research considers the first multimodal alternative based on barge for parcel activities. It proposes two sustainable network designs two-echelon distribution. The efficiency of scenarios is assessed through performance indicators. A three-stage decomposition heuristic used. Allocation customers to closest satellite at sta...

Reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. It also decreases memory and transmission bandwidth requirements. Moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. In this paper, the Kohene...

Unmanned aerial vehicles (UAVs) play an important role in the future of 5G and 6G communication networks. UAV-assisted offers benefits improved network capacity coverage. A typical setup is for UAVs to connect users core via a backhaul channel. Some challenges such include user-UAV association management These two are greatly impacted by positioning network. In this article, we address these co...