Fall detection in the elderly population is a typical application of pattern recognition, where machine learning algorithms have shown good performance results in the scientific literature. Nevertheless, the usual large dimension of the networks ...

The six papers included in this special issue represent a selection of extended contributions presented at the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022 held in Salamanca, Spain, September 6th-8th, 2022, ...

The eight papers included in this special issue represent a selection of extended contributions presented at the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 held in Salamanca, ...

The seven papers included in this special issue represent a selection of extended contributions presented at the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, held in Bilbao, Spain,...

This research focuses on hyperparameter optimization in Convolutional Neural Networks (CNNs) for image classification tasks. The primary objective is to propose a novel KMA-LeNet algorithm for optimizing hyperparameters in the LeNet-5 model without ...

Clustering is a commonly used tool for discovering knowledge in data mining. Density peak clustering (DPC) has recently gained attention for its ability to detect clusters with various shapes and noise, using just one parameter. DPC has shown advantages ...

The optimal CH selection for finding the shortest path among the CHs is improved by developing the hybrid K-means with Particle Swarm Optimization (PSO) based hybrid Ad-hoc On-demand Distance Vector (AODV) channelling algorithms. The alive nodes, total ...

The progression to next generation networks is replete with abundant co-existing technologies. To comply with the always best connected paradigm, several vertical handover decision approaches have been proposed in literature, using advanced techniques ...

• A new metaheuristic algorithm is proposed inspired by African vultures’ lifestyle.

Metaheuristics play a crucial role in solving optimization problems. The majority of such algorithms are inspired by collective intelligence and foraging of creatures in nature. In this paper, a new metaheuristic is proposed inspired ...

This paper proposes to create an augmented reality interface for the visually impaired, enabling a way of haptically interacting with the computer system by creating a virtual workstation, facilitating a natural and intuitive way to accomplish a ...

Option price prediction has been an important issue in the finance literature within recent years. Affected by numerous factors, option price forecasting remains a challenging problem. In this study, a novel hybrid model for forecasting option price ...

The proposed system implements a vibro-haptic glove device which works in tandem to a customized computer keyboard with capacitive touch sensitivity, facilitating a fast-paced typing method for the visually impaired. A normal keyboard is retro-fitted ...

Paper introduces a new approach of extracting relation interdependences of human skills hidden in large data sets. The dependence is presented by If-Then fuzzy rules. It is enable both to grasp the relation and to account for the appeared expertise ...

The identification of a fuzzy model is a complex and nonlinear problem. This can be formulated as a search and optimisation problem and many computing approaches are available in the literature to solve this problem. This research paper is focused on ...

Prognostics is an engineering discipline focused on predicting the Remaining Useful Life (RUL) of a system or a component using raw multimedia (sensor) data. This paper presents a novel machine learning model for this task, which includes a smart ...

A lot of models have been made for predicting software reliability. The reliability models are restricted to using particular types of methodologies and restricted number of parameters. There are a number of techniques and methodologies that may be used ...

Applications of soft computing methods are spread in fields that deal with intelligent analysis. As the human intelligence can survey the likelihood of some occasions in possibilities, comparatively soft computing systems additionally utilize some ...

EEG (Electroencephalography)-based motor imagery signal classification is very important in brain-computer interface (BCI) technology. In this paper, we improve a classification method by utilizing AdaBoost, an extension of artificial intelligence (AI), ...

Confronting with growing size of data and pressure of extracting useful knowledge in different manners made privacy preserving a crucial subject. This major is even more important especially in big data environment that implements knowledge discovery ...

This paper elaborates a novel hybrid learning approach for training error optimisation and control of highly dynamic triple-link inverted pendulum on cart. The study demonstrates a relationship between shape and number of membership functions MFs of ...