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A method of trust case templates to support standards conformity achievement and assessment
PublikacjaOsiąganie i ocena zgodności ze standardami stanowi poważne obciążenie finansowe dla współczesnych gospodarek. Pomimo znacznej wagi tego problemu, nie znalazł on jednak zadowalającego przełożenia na rozwiązania dostępne na rynku. W tej pracy zaproponowano metodę nazwaną Standards Conformity Framework (SCF), która wspiera stosowanie standardów. Jest ona oparta na spostrzeżeniu, że osiąganie i ocena zgodności ze standardem polega...
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Deep eutectic solvent-based shaking-assisted extraction for determination of bioactive compounds from Norway spruce roots
PublikacjaPolyphenolic compounds play an essential role in plant growth, reproduction, and defense mechanisms against pathogens and environmental stresses. Extracting these compounds is the initial step in assessing phytochemical changes, where the choice of extraction method significantly influences the extracted analytes. However, due to environmental factors, analyzing numerous samples is necessary for statistically significant results,...
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Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
PublikacjaThe rapid development of shipping trade pushes automated container terminals toward the direction of intelligence, safety and efficiency. In particular, the formulation of AGV scheduling tasks and the safety and stability of transportation path is an important part of port operation and management, and it is one of the basic tasks to build an intelligent port. Existing research mainly focuses on collaborative operation between...
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Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets
PublikacjaThis paper is devoted to the problem of class imbalance in machine learning, focusing on the intrusion detection of rare classes in computer networks. The problem of class imbalance occurs when one class heavily outnumbers examples from the other classes. In this paper, we are particularly interested in classifiers, as pattern recognition and anomaly detection could be solved as a classification problem. As still a major part of...
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A perfect hashing incremental scheme for unranked trees using pseudo-minimal automata
PublikacjaWe describe a technique that maps unranked trees to arbitrary hash codes using a bottom-up deterministic tree automaton (DTA). In contrast to other hashing techniques based on automata, our procedure builds a pseudo-minimal DTA for this purpose. A pseudo-minimal automaton may be larger than the minimal one accepting the same language but, in turn, it contains proper elements (states or transitions that are unique) for every input...
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Analysis of IPv6 Handovers in IEEE 802.16 environment
PublikacjaZaprezentowano pełną analizę wpływu poszczególnych faz procesu przełączania w warstwie drugiej i trzeciej na przerwy w transmisji wynikające ze zmiany stacji bazowej BS przez przemieszczający się węzeł ruchomy MN. Zaproponowano i przebadano symulacyjnie 10 scenariuszy przełączania, w tym 8 różnych algorytmów stanowej autokonfiguracji węzłów MN, wspierających protokół IPv6 w środowiskach sieci WiMAX. W badaniach wskazano na możliwości...
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Use of LIDAR Data in the 3D/4D Analyses of the Krakow Fortress Objects
PublikacjaThe article presents partial results of studies within the framework of the international project "Cultural Heritage Through Time" (CHT2). The subject of the study were forts of the Krakow Fortress, which had been built by the Austrians between 1849-1914 in order to provide defence against the Russians. Research works were aimed at identifying architectural changes occurring in different time periods in relation to selected...
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Elective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries
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