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The design of antenna systems poses a significant challenge due to stringent performance requirements dictated by contemporary applications and the high computational costs associated with models, particularly full-wave electromagnetic (EM) ...

It is witnessed that the popularity of the research in cybersecurity using bio-inspired algorithms (a key subset of natural algorithms) is ever-growing. As an emergent research area, researchers have devoted efforts to applying and comparing various bio-...

Siamese Neural Networks (SNN) are known to perform well in resource-constrained scenarios where computation and data availability are limited. They utilise the similarity space of a given dataset to extract distinguishing features between dissimilar ...

In this paper, Ant Colony System (ACS) based segmentation method is proposed and its features are used for segmenting the optic disc and macula in the retinal images. The suggested ACS-based segmentation approach employs intensity (gray-level) and colour ...

• Communication networks in CPSs enable computations and data transmission making them vulnerable to attacks

There are growing concerns on the security of communication networks of Cyber Physical Systems (CPSs). In a typical Cyber Physical System (CPS), the plant, actuators, sensors and controller interface through a communication network, ...

In today's world of engineering evolution, the need for optimized design has led to development of a plethora of optimization algorithms. Right from hardware engineering design problems that need optimization of design parameters to software ...

Optimization Logic from Biological Behaviors image image

Nowadays, countless applications benefit from the services provided by wireless sensor networks (WSNs) in remote surveillance and data gathering. Coverage is considered an important quality of service (QoS) criterion for many of these applications. To ...

In cloud, balancing the load on virtual machines (VMs) and efficient utilisation of resources is very crucial and challenging, which becomes complex due to heterogeneous nature of VMs and user's tasks in distributed environment. To maintain the service ...

The most widely detectable of all cancers found in women is breast cancer. The mortality rate is also the second-highest among women with a 12% growth rate. It is very pertinent to diagnose breast cancer in the nascent stages so that the survival of the ...

This paper reports on the co-simulation of a team of robots deployed in an exploration task, coordinated by a bio-inspired exploration algorithm. The co-simulation integrates the high-level exploration algorithm with detailed implementations of the ...

Lévy walk has attracted attention for its search efficiency. Homesick Lévy walk is a family of random walks whose encounter probability of one another is similar to the one of human behaviour. However, its homing behaviour limits the search area of each ...

Task allocation plays a pivotal role in the optimisation of multi-unmanned aerial vehicle (multi-UAV) search and rescue (SAR) missions in which the search time is critical and communication infrastructure is unavailable. These two issues are addressed by ...

Most commonly found cancer among women is breast cancer. Roughly 12% of women grow breast cancer during their lifetime. It is the second prominent fatal cancer among women. Breast cancer diagnosis is necessary during its initial phase for the proper ...

In the last decades, the field of structural health monitoring (SHM) has grown exponentially. Yet, several technical constraints persist, which are preventing full realisation of its potential. To upgrade current state-of-the-art technologies, researchers ...

One of the main factors behind the amazing ecological success of social insects is their ability to flexibly allocate the colony's workforce to all the different tasks it has to address. Insights into the self-organised task allocation methods used for ...

The bee colony optimization BCO algorithm is a nature-inspired meta-heuristic method for dealing with hard, real-life combinatorial and continuous optimisation problems. It is based on the foraging habits of honeybees and was proposed by Lučić and ...

Swarm intelligence algorithms, based on multi-agent systems, are often used to solve complex problems that are not affordable through classical centralized/deterministic solutions. In many cases, to enhance the performance of such algorithms, the ...

Artificial hydrocarbon networks (AHN) is a supervised learning algorithm inspired on chemical organic compounds. Its first implementation occupied the well-known least squares estimates (LSE) as part of the training algorithm. Unsurprisingly, AHN cannot ...

The increasing diffusion of cloud technologies offers new opportunities for distributed and collaborative computing. Volunteer clouds are a prominent example, where participants join and leave the platform and collaborate by sharing computational ...

The existence of the World Wide Web has caused an information explosion. Readers are overloaded with lengthy text documents where a shorter version would suffice. All computer users, be it professionals or novice users, are particularly affected by this ...