Soft Computing - A Fusion of Foundations, Methodologies and Applications

Autonomous transportation is an inevitable means of day-to-day activity that supports a country’s economic growth. Effective communication systems design is an incentive for autonomous vehicles’ protection and comfort to be further extended. Inter-...

In recent days, the smart industry concept is becoming more prominent in industrial autonomous vehicle navigation systems. The need for service reliability and industrial management has led to various developing ideas in the industrial ...

Almost all of the automatic accident detection (AAD) system suffers from the tradeoff between computational overhead and detection accuracy. Recent advances in detection and classification methodologies have shown phenomenal improvements in ...

In recent times, the utilization of autonomous vehicles (AVs) has been significantly increased over the globe. It is because of the tremendous rise in familiarity and the usage of artificial intelligence approaches in distinct application areas. ...

The severe situation caused by THE COVID-19 epidemic has not only hindered the steady development of social economy, but also had a great impact on the development of e-commerce logistics. For e-commerce enterprises, logistics cost is an important ...

At present, the global navigation satellite systems’ use as transmitters of maritime surveillance opportunities in passive radar systems is particularly desirable because of global coverage and accurate sources' primary advantages. This paper ...

Nowadays, industries have to deal with an increasingly competitive environment. In this sense, the operational process optimization to increase efficiency is crucial. The industrial systems are presently leaning toward every potential means of ...

In this paper, we present a different process for the optimal solution to mixed constraints transportation problem with imprecise coefficients without changing to its crisp equivalent form which is very distinct from other existing methods. Here, ...

In this paper, the load forecasting model is established to increase the precision of meteorological impacts, temperature, short-term power load forecasting, working and holiday factors by considering the power load. Further, IGA-LS-SVM is ...

In order to better accelerate the transition from traditional trade to cross-border e-commerce, a cross-border e-commerce transportation route optimization model was designed in the context of the prevention and control of new crown pneumonia. ...

Driverless automatically guided vehicles are becoming a new trend in transportation envisioned in a smart city environment. Automatically guided vehicles depend on environmental data for executing target-oriented navigation and movements. The ...

The ability to efficiently reschedule the trains when disturbances occur is one among the vital factors in attaining higher punctuality on railway traffic systems. Numerous techniques were developed to carry out train rescheduling, but the ...

In this paper, traffic and vehicle density optimization issues are discussed, and a suitable solution for autonomous driving environments is proposed. The problem of scalable traffic flow management is hindered by the unpredictable vehicle density ...

A flexible manufacturing system (FMS) is the model used for the system produced in the manufacturing industry, and it consists of the number of interconnected workstation. Inflexible manufacturing system scheduling of jobs has become a serious ...

Increase in population density in large cities has increased the environmental noise present in these environments, causing negative effects on human health. There are different sources of environmental noise; however, noise from road traffic is ...

A correction to this paper has been published: https://doi.org/10.1007/s00500-021-05852-9

The new energy vehicle system is in the initial stage of application, so the probability of fault is greater. Therefore, its reliability urgently needs to be improved. In order to improve the fault diagnosis effect of new energy vehicles, this ...

The traditional logistics route planning method is easily affected by cargo damage and vehicle carbon emissions, which makes it difficult to obtain the optimal logistics route. To solve this problem, this paper designs a new route planning method ...

The Xinbaishiyan tunnel in the reconstruction Chengdu–Kunming railway Ermeishan-Mipan section mainly runs through dolomite with dolomitic limestone, with an excavation area of 260 m², a maximum span of 22.3 m, a maximum height of 14.4 m, a vector ...

The heterogeneous nature of the Internet of Things (IoT) requires sophisticated and distributed security schemes for providing reliable communication. However, providing a unanimous security measure is a tedious task for heterogeneous devices is a ...

The diagnosis of heart disease is found to be a serious concern, so the diagnosis has to be done remotely and regularly to take the prior action. In the present years, the diagnosis of heart disease has become a key research area for researchers ...

Internet of Things (IoT)-enabled e-healthcare applications are contributing more to the society for providing healthcare monitoring services efficiently in smart environment. Security of healthcare system is to be considered as an important issue ...

Peer-to-Peer (P2P) networks are prominent in the Internet-of-things-assisted industrial environments for distributed computing and smart control systems. The problem arises with the independence and peer systems security due to anonymous access ...

Artificial Bee Colony Optimization Algorithm (ABCA) is a powerful optimization scheme that is suitable for a number of complex applications in which iteratively the best solution is to be created from the viable candidate solution. This ABCA ...

The Internet of Things (IoT) is heading to its mature development and continuously evolving itself as an essential component of the fifth-generation (5G) internet. IoT infrastructure requires networks for which 5G network is developed. Indeed ...

Smart energy management improves the efficiency of the services and computing systems operated in a smart city environment. The heterogeneous environment makes use of artificial intelligence allied technologies for energy management. Depending ...

To address the heterogeneity problem of sensor data, it is necessary to conduct the Sensor Ontology Matching (SOM) process to find the mappings among diverse sensor data with the same semantics connotation. Currently, many Multi-Objective ...

Because of the population increasing so high, and traffic density remaining the same, traffic prediction has become a great challenge today. Creating a higher degree of communication in automobiles results in the time wastage, fuel wastage, ...

Technological advances integrating emotional maturity with established IoT systems are being examined with the emergence of the fourth industrial revolution. In this article, researchers propose an emotion-based music recommendation and ...