Following an obvious growth of available collections of medical images in recent years, both in number and in size, machine learning has nowadays become an important tool for solving various image-analysis-related problems, such as organ segmentation or injury/pathology detection. The potential of learning algorithms to produce models having good generalisation properties is highly dependent on […]
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ECDIS EHO
The ECDIS EHO (Experience, Handling and Opinion) research represents a series of studies addressed at ECDIS (Electronic Chart Display and Information System) topics comprising knowledge-based, operational and system handling features. Main project keypoints are: Educational process improvement, Development of maritime navigational and information systems for Autonomous vessel, Concepts and capabilities of information systems in maritime […]
Link Prediction on Twitter
With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment analysis, content diffusion, link prediction, and the dynamics behind human collective behaviour in general. Here we […]
Selectivity-Based Keyword Extraction Method
In this work the authors propose a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate […]
Co-evolutionary Multi-Population Genetic Programming for Classification in Software Defect Prediction: an Empirical Case Study
Evolving diverse ensembles using genetic programming has recently been proposed for classification problems with unbalanced data. Population diversity is crucial for evolving effective algorithms. Multilevel selection strategies that involve additional colonization and migration operations have shown better performance in some applications. Therefore, in this paper, we are interested in analysing the performance of evolving diverse ensembles using […]
Energy-efficient sensing method for table grapes cold chain management
Energy efficiency of the wireless sensor network (WSN) is one of the dominating issues in the non-stop table grapes cold chain monitoring. The aim of this paper is to propose an energy-efficient sensing method for the non-stop cold chain management of table grapes in order to reduce the average energy consumption of WSN devices and […]
Development and evaluation on a wireless multi-gas-sensors system for improving traceability and transparency of table grape cold chain
There is increasing requirement to improve traceability and transparency of table grapes cold chain. Key traceability indicators including temperature, humidity and gas microenvironments (e.g., CO2, O2, and SO2) based on table grape cold chain management need to be monitored and controlled. This paper presents a Wireless Multi-Gas-Sensors System (WGS2) as an effective real-time cold chain […]
A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications
We propose a new algorithm for denoising of additive white Gaussian noise-corrupted signals, based on the intersection of confidence intervals (ICI) algorithm, called the fast intersection of confidence intervals (FICI) algorithm. The proposed approach combines the FICI algorithm, used for the adaptive filter support size selection, with the local polynomial approximation (LPA) method, used as […]
Semi-automated detection of anterior cruciate ligament injury from MRI
Background and objectives: A radiologist’s work in detecting various injuries or pathologies from radiological scans can be tiresome, time consuming and prone to errors. The field of computer-aided diagnosis aims to reduce these factors by introducing a level of automation in the process. In this paper, we deal with the problem of detecting the presence […]
Postharvest Quality Monitoring and Variance Analysis of Peach and Nectarine Cold Chain with Multi-Sensors Technology
Fresh peaches and nectarines are very popular for their high nutritional and therapeutic value. Unfortunately, they are prone to rapid deterioration after harvest, especially if the cold chain is not well maintained. The objective of this work is to study the environmental fluctuation and the quality change of fresh peaches and nectarines in cold chain. […]
