Search Results (94)
An automated vulnerability detection for website security
Although large research efforts on web application security have been invested for more than a decade, the security of web applications is still a challenging problem. The main focus of the cybersecurity community has been to make operating systems and communication networks more secure and harder for attackers to penetrate. …
Food and drink image detection and recognition using deep convolutional neural networks
A healthy diet is becoming increasingly relevant as recognizing dietary deficiencies often leads to actionable results that can improve the individual’s overall health. However, to identify areas of potential improvement, tracking food intake is necessary. Manual methods have traditionally been used to perform this tracking, but these methods have a …
Plasma-enabled design of hybrid carbon nanostructures for energy storage applications
Carbon, one of the most abundant materials in the earth crust, has gained research attention owing to its high structural stability, electrical conductivity, optical and thermal properties. Additionally, the possibility of tailoring carbon materials at nanoscales makes them promising materials for many applications, including energy storage, sensors, biomedical and electronics. …
Diversity, ecology and sensing of the toxic diatom Pseudo-Nitzschia in the Gulf of Trieste: doctoral disertation
This work focuses on a group of diatoms, belonging to the genus Pseudo-nitzschia, which is a globally important phytoplankton genus. Some species of the genus produce the toxin domoic acid, which is responsible for shellfish intoxication known as the amnesic shellfish poisoning (ASP). These diatoms have few morphological features that …
Development of methods for electrostatic immobilization and coupling different microbial cells
Naturally formed microbial communities are present in the form of cellular aggregates that create a set of diverse biochemical pathways through cross-feeding between the members of the microbial community. One of the most important factors so that some biochemical reactions can occur is the appropriate spatial placement of a particular …
Removal of contaminants of emerging concern using algal photobioreactors
Contaminants of emerging concern (CEC) are organic pollutants occurring in wastewater and consequently enter the environment. An alternative to conventional wastewater treatment are algal photobioreactors, which treat wastewater with low energy input while producing nutrient- and energy-rich algal biomass and treated water, which both have the potential to be reused. …
In silico approaches to understand and predict the ligand-binding interactions of the human P-glycoprotein (ABCB1) membrane transporter
The P-glycoprotein (P-gp) is responsible for the elimination of a wide variety of substances from the cell, thus it is thought to play an important role in detoxification functions. The P-gp also affects the ADMET (absorption, distribution, metabolism, excretion, and toxicity in pharmacokinetics) properties of drugs. It is involved in …
Inactivation of viruses in water by cold atmospheric plasma
Access to clean water is a key requirement for a good quality of life. However, due to climate change, population growth and lack of proper water treatment, the availability of clean water is in constant decline. Among the many waterborne contaminants, viruses present an increasing concern. Human waterborne viruses infect …
Parametrična in neparametrična metoda za nastavljanje parametrov PI/PID regulatorjev za integrirne procese na podlagi amplitudnega optimuma
Integrating systems are commonly found in power and paper mills, aerospace control systems, storage tanks, distillation columns, chemical reactors, and petroleum industries. Due to their open-loop instability resulting in an unconstrained output for a constrained input, efficient control of integrating processes is challenging. Control of integrating processes has attracted the …
Learning of dynamic movement primitives with deep neural networks
Robots that are supposed to perform human-like tasks must possess appropriate skills to carry them out. In unstructured environments and for complex tasks, these skills are difficult to pre-program due to the complexity of the real world. It is therefore advantageous if robots have the ability to acquire the necessary …