The construction of low-cost nanogrids could help speed up the electrification rate in remote communities sub-Saharan Africa. One challenges nanogrid design for these is uncertainty future load demand profiles impacting cabling topology. We propose two new wiring approaches radial direct current power distribution systems. first one a modified minimum spanning tree (MST) algorithm and second an...

    Hub covering location problem, Network design,   Single machine scheduling, Genetic algorithm,   Shuffled frog leaping algorithm   Hub location problems (HLP) are synthetic optimization problems that appears in telecommunication and transportation networks where nodes send and receive commodities (i.e., data transmissions, passengers transportation, express packages, postal deliveries, etc....

Multicast device-to-device (D2D) communication technology is considered as one of the new technologies in fifth generation (5G) networks that directly addresses need for content sharing among internet users. In fact, when direct available between devices, spectral efficiency improved by reusing licensed cellular spectrum. The current studies show D2D increases network capacity and reduces laten...

Landslide susceptibility analysis is beneficial information for a wide range of applications, including land use management plans. The present attempt has shed light on an efficient landslide mapping framework that involves adaptive neural-fuzzy inference system (ANFIS), which incorporates three metaheuristic methods grey wolf optimization (GWO), particle swarm (PSO), and shuffled frog leaping ...

Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective function of the upper level model is to minimize the sum of travel costs and the ...

Abstract Evolutionary algorithms (EAs) are proficient in solving the controlled, nonlinear multimodal, non-convex problems that limit use of deterministic approaches. The competencies EA have been applied various environmental and water resources problems. In this study, storm management model (SWMM) was set up to authenticate capability for simulating catchment response upper Damodar River bas...

In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)–probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC polymerization reactor, the mapping between the polymerization process data and the fault modes is established. Then, the rough set theory is used to t...

Drug addiction is a complex neurobiological disorder that necessitates comprehensive treatment of both the body and mind. It categorized as brain due to its impact on brain. Various methods such electroencephalography (EEG), functional magnetic resonance imaging (FMRI), magnetoencephalography (MEG) can capture activities structures. EEG signals provide valuable insights into neurological disord...

Research on intelligent transportation wireless sensor networks (ITWSNs) plays a very important role in an system. ITWSNs deploy high-yield and low-energy-consumption traffic remote sensing nodes with complex parameter coordination both sides of the road use self-organizing capabilities each node to automatically establish entire network. In large-scale self-organization process, importance tas...