VSB - Technical University of Ostrava

Intelligent Swap-Based Heuristics for Two-Objective Location Problems in Emergency Services

This scholarly article focuses on a specific application of discrete optimization methods in the emergency services. The search for the optimal deployment of service centers is one of the strategic decisions made in the field of urgent pre-hospital healthcare management. Since th...

Data analytics and last-mile delivery in urban areas: challenges and opportunities

Purpose This research explores how data analytics can address last-mile delivery (LMD) challenges in urban areas. LMD is the most expensive, least efficient, and most environmentally damaging supply chain phase, yet analytics adoption remains uneven. Design/methodology/approach A...

A metal-dielectric photonic crystal-based glucose sensor with sensitivity enhancement by using 2D materials

Abstract Metal-dielectric photonic crystals (MDPhCs) that support the excitation of Bloch-like surface waves (BLSWs) at the interface of an MDPhC and the adjacent medium (analyte) have emerged as a very promising alternative for sensing gaseous analytes with high sensitivity. In...

Deep learning pipelines for white blood cell classification: a comprehensive literature review

Abstract This study aims to provide a comprehensive and structured overview of how DL frameworks have been utilized for the recognition and classification of white blood cell (WBC) images. The review is guided by three primary research questions: (1) What are the dominant trends...

Non-invasive detection of obstructive sleep apnea from speech in a limited clinical dataset

Abstract This study investigates non-invasive detection of obstructive sleep apnea (OSA) from daytime speech in a limited polysomnography-labeled clinical cohort. The objective was to evaluate whether speaker-verification-inspired representations can support robust speech-based O...

Controlled Synthesis of Tri‐ and Multi‐Doped Graphene

ABSTRACT Graphene possesses exceptional electrical, mechanical, and thermal properties, yet its lack of a bandgap and chemically inert surface continue to limit practical applications. Heteroatom doping has emerged as the primary strategy to overcome these limitations by tuning g...

Influence of thermomechanical postprocessing on creep behavior of Inconel 718 superalloy prepared by additive manufacturing

Abstract Additive manufacturing represents a promising alternative to the conventional technologies used for the production of metallic materials. However, in contrast to the conventional approaches, materials produced using additive manufacturing typically feature certain disadv...

Modeling and experimental validation of an indirect active hybrid solar dryer for mint leaves: Coupled thermal and moisture-transfer analysis

A mathematical model was developed and experimentally validated to predict the thermal performance and drying behavior of an indirect active solar dryer (IAHSD) for mint leaves. The distinctive contribution of the proposed approach is its integration of solar-energy input, auxili...

Enhanced FOC performance using a hysteresis current controller for EV induction motor drives

Electric vehicle traction drives require fast, robust, and efficient induction motor control, especially under variable speed, load torque, and thermal operating conditions. In Field-Oriented Control integrated Hysteresis Current Controller (FOC-HCC) induction motor drives, varia...

Recent Advances in Microalgae‐Based Functional Coatings and Films for Food Packaging Applications: Opportunities and Challenges

ABSTRACT The increased popularity of sustainable food packaging and its technologies has led to considerable interest in microalgae‐derived functional films and coatings as potential replacements for traditional plastics based on petroleum. The literature in recent years has been...

Efficient Feature Selection with Multiple Equivalent Subsets Using a Multi-objective Quantum-inspired Evolutionary Approach

Abstract In many real-world applications, it is useful to identify multiple distinct feature subsets that achieve the same classification accuracy with the same number of features. This gives domain experts more flexibility to choose feature combinations based on cost, availabili...

Benchmarking one-class and binary classifiers for weld defect detection using acoustic emission signals

The aim of this study is to apply diagnostic techniques to welds based on machine learning methods. This approach works exclusively with signal data, making it nondestructive and enabling easier and faster implementation. It detects anomalies immediately after the welding procedu...

Thermal and mechanical behaviour of high-performance concrete incorporating recycled concrete aggregate

The construction industry contributes substantially to environmental problems through the extraction of non-renewable resources and the generation of construction and demolition waste. In concrete production, replacing natural aggregate with recycled concrete aggregate (RCA) has...

Martian‑Regolith Simulant Confined Nanogenerators for Wireless Tactile Sensing for Human‐Machine Interface

Achieving a sustainable energy system for space missions remains challenging due to the continued reliance on Earth-supplied materials. This underscores the importance of in situ resource utilization (ISRU) strategies that convert planetary resources into functional electronic co...