Abstract Several recent person re-identification methods are focusing on learning discriminative representations by designing efficient metric loss functions. Other approaches design part based architectures to compute an informative descriptor local features from semantically coherent parts. Few efforts learn the relationship between distant similar regions and parts adjusting them their most ...

To study the effect of different branch configuration on transmission characteristic in-home lowvoltage (LV) communication power line communication (PLC) channel, the influences of branch length, number of branch and tap, and branch terminal impedance on the performance of PLC are investigated. The two type power line network structures of the one-tap with multi-branch (OTMB) and the multi-tap ...

Despite recent innovations that might have reduced banks’ reliance on brick-and-mortar branches for distributing retail financial services, the number of U.S. bank branches has continued to increase steadily over time. Further, an increasing percentage of these branches are held by banks with large branch networks. This paper assesses the implications of these developments by examining a series...

Deep learning plays a highly essential role in the domain of remote sensing change detection (CD) due to its high efficiency. From some existing methods, we can observe that fusion information at each scale is quite vital for accuracy CD results, especially common problems pseudo-change and difficult edges task. With this mind, propose New Fusion network with Dual-branch Encoder Triple-branch D...

1 Coordinator, Colombian Collaborating Branch of the Iberoamerican Cochrane Network, Instituto de Investigaciones Fundación Universitaria Sánitas (II-FUS), Santa Fe de Bogotá, Colombia. Director, LATINREC. Send correspondence and reprint requests to: Ludovic Reveiz, Edificio de Consultorios Clínica Reina Sofía Diag 127 A # 3–48 cons 221, Santa Fe de Bogotá, Colombia; fax: (57) 1 6159435; e-mail...

This paper presents a simple approach for load flow analysis of a radial distribution network. The proposed approach utilizes forward and backward sweep algorithm based on Kirchoff’s current law (KCL) and Kirchoff’s voltage law (KVL) for evaluating the node voltages iteratively. In this approach, computation of branch current depends only on the current injected at the neighbouring node and the...

The rapid development of cloud–fog–edge computing and mobile devices has led to massive amounts data being generated. Also, artificial intelligence technology, like machine learning deep learning, is widely used mine the value data. Specifically, detecting attacks on system using essential. External network press organizations anomaly flow in traffic. intrusion detection (NIDS) been an effectiv...

Dynamic branch prediction in high-performance processors is a specific instance of a general Time Series Prediction problem that occurs in many areas of science. In contrast, most branch prediction research focuses on Two-Level Adaptive Branch Prediction techniques, a very specific solution to the branch prediction problem. An alternative approach is to look to other application areas and field...