Wyszukiwarka
Filtry
wszystkich: 892
wybranych: 785
-
Katalog
Filtry wybranego katalogu
Wyniki wyszukiwania dla: EVALUATION OF E-LEARNING METHODS
-
Basic evaluation of limb exercises based on electromyography and classification methods
PublikacjaSymptoms caused by cerebral palsy or stroke deprive a person partially or even completely of his ability to move. Nowadays we can observe more technologically advanced rehabilitation devices which incorporate biofeedback into the process of rehabilitation of such people. However, there is still a lack of devices that would analyse, assess, and control (independently or with limited support) specialised movement exercises. Here...
-
Evaluation of Path Based Methods for Conceptual Representation of the Text
PublikacjaTypical text clustering methods use the bag of words (BoW) representation to describe content of documents. However, this method is known to have several limitations. Employing Wikipedia as the lexical knowledge base has shown an improvement of the text representation for data-mining purposes. Promising extensions of that trend employ hierarchical organization of Wikipedia category system. In this paper we propose three path-based...
-
THE METHODS OF TEACHING / LEARNING STRUCTURAL MECHANICS
PublikacjaStructural mechanics is a key issue to study for engineers. A high rank and high social responsibility profession requires both a high graded and intuitive approach. The evolution of learning / teaching methodology follows the novel technical achievements of every decade. The aim remains the same: to produce a professional to perform advanced relevant analysis and safe, optimal structural design
-
Evaluation of aspiration problems in L2 English pronunciation employing machine learning
PublikacjaThe approach proposed in this study includes methods specifically dedicated to the detection of allophonic variation in English. This study aims to find an efficient method for automatic evaluation of aspiration in the case of Polish second-language (L2) English speakers’ pronunciation when whole words are analyzed instead of particular allophones extracted from words. Sample words including aspirated and unaspirated allophones...
-
Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
PublikacjaIn recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have gained significant attention due to their exceptional properties, including lightweight construction, high specific strength, and stiffness. These attributes have found application in structures, infrastructures, wind power equipment, and various advanced civil products. However, the production process and the extensive testing required for...
-
Efficiency of Artificial Intelligence Methods for Hearing Loss Type Classification: an Evaluation
PublikacjaThe evaluation of hearing loss is primarily conducted by pure tone audiometry testing, which is often regarded as golden standard for assessing auditory function. If the presence of hearing loss is determined, it is possible to differentiate between three types of hearing loss: sensorineural, conductive, and mixed. This study presents a comprehensive comparison of a variety of AI classification models, performed on 4007 pure tone...
-
Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application
PublikacjaAn evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system. First, the approaches for multimodal biometric data fusion for verification are explained. Then the proposed implementation of comparison scores fusion is presented, including details on the application...
-
Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
PublikacjaDue to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for detecting malware...
-
Thermal Images Analysis Methods using Deep Learning Techniques for the Needs of Remote Medical Diagnostics
PublikacjaRemote medical diagnostic solutions have recently gained more importance due to global demographic shifts and play a key role in evaluation of health status during epidemic. Contactless estimation of vital signs with image processing techniques is especially important since it allows for obtaining health status without the use of additional sensors. Thermography enables us to reveal additional details, imperceptible in images acquired...
-
Comparative study of learning methods for artificial network
PublikacjaW artykule przedstawiono wyniki badań porównawczych metod uczenia sieci neuronowych takich jak: metoda propagacji wstecznej błędów, rekurencyjna metoda najmniejszych kwadratów, metoda Zangwill'a, metoda algorytmów ewolucyjnych. Celem tych badań jest dobieranie najefektywniejszej metody uczenia do projektowania adaptacyjnego neuronowego regulatora napięcia generatora synchronicznego.metody uczenia, sieć neuronowa, neuronowy regulator...
-
Evaluation of flavour profiles in e-cigarette refill solutions using gas chromatography–tandem mass spectrometry
PublikacjaMany flavour compounds that are present in e-liquids for e-cigarettes are responsible for specific tastes and smoking sensations for users. Data concerning content and specific types of flavours is often limited and unknown to users. The aim of the research was to define and compare flavour profiles of e-liquids with the same group taste from different manufacturers. Gas chromatography coupled with tandem mass spectrometry (GC–MS/MS)...
-
Evaluation of ChatGPT Applicability to Learning Quantum Physics
PublikacjaChatGPT is an application that uses a large language model. Its purpose is to generate answers to various questions as well as provide information, help solve problems and participate in conversations on a wide range of topics. This application is also widely used by students for the purposes of learning or cheating (e.g., writing essays or programming codes). Therefore, in this contribution, we evaluate the ability of ChatGPT...
-
The methods of braking forces measurement for e mechanical vehicle
PublikacjaPrzedstawiono metody pomiaru sił hamowania pojazdów samochodowych.
-
Optimizing Control of Wastewater Treatment Plant With Reinforcement Learning: Technical Evaluation of Twin-Delayed Deep Deterministic Policy Gradient Agent
PublikacjaControl of the wastewater treatment processes presents significant challenges due to the fluctuating nature of inflow and wastewater composition, alongside the system’s non-linear dynamics. Traditional control methods struggle to adapt to these variations, leading to an economically suboptimal operation of the process and a violation of norms imposed on the quality of wastewater discharged to the catchment area. This study proposes...
-
Wireless Link Selection Methods for Maritime Communication Access Networks—A Deep Learning Approach
PublikacjaIn recent years, we have been witnessing a growing interest in the subject of communication at sea. One of the promising solutions to enable widespread access to data transmission capabilities in coastal waters is the possibility of employing an on-shore wireless access infrastructure. However, such an infrastructure is a heterogeneous one, managed by many independent operators and utilizing a number of different communication...
-
Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
PublikacjaTo date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging...
-
Language of Movement for Building Assessment: A Review of the Evaluation Methods of the Human Movement in the Built Space
PublikacjaThe purpose of this article is to provide a framework for the categorization of methods and techniques of human movement evaluation, measurement, and assessment in the built space. The reviewed
-
Evaluation of electrical parameters of traction supply system for complex railway traffic conditions, using simulation methods
PublikacjaDevelopment of electrified transport systems, railways modernization, expansion of urban transport networks, purchases of modern rolling stock causes that updating of electric traction supply system is necessary. This chapter presents an effective method for electrical parameters of traction supply system evaluation, using simulation methods.
-
e-Commerce Websites and the Phenomenon of Dropshipping: Evaluation Criteria and Model
Publikacja -
Cartometric: semantic ontology evaluation with cartographic methods
PublikacjaW ostatnich latach, głównie dzięki rozwojowi inicjatywy Sieci Semantycznej (ang. Semantic Web), staliśmy się świadkami powstawania coraz większej liczby gwałtownie ewoluujących ontologii. W takiej sytuacji zarówno użytkownicy Sieci, jak i komputerowe agenty potrzebują metody oceny właściwości ontologii, w szczególności takiej, która uwzględni jej cechy semantyczne, czyli kształt przestrzeni dozwolonych modeli. Niniejsza praca prezentuje...
-
Comparative Evaluation of Selected Biological Methods for the Removal of Hydrophilic and Hydrophobic Odorous VOCs from Air
PublikacjaDue to increasingly stringent legal regulations as well as increasing social awareness, the removal of odorous volatile organic compounds (VOCs) from air is gaining importance. This paper presents the strategy to compare selected biological methods intended for the removal of different air pollutants, especially of odorous character. Biofiltration, biotrickling filtration and bioscrubbing technologies are evaluated in terms of...
-
Spam classification methods besed on users e-mail communication graphs
PublikacjaW artykule poddano analizie grafy zbudowane w oparciu o logi serwerów pocztowych. Węzły grafów reprezentują nadawców i odbiorców wiadomości e-mail natomiast krawędzie przedstawiają procesy wymiany wiadomości e-mail. Analiza grafów pozwala na znalezienie korelacji pomiędzy topologią grafów a relacjami pomiędzy użytkownikami serwisu pocztowego. W oparciu o te relacje zaproponowano algorytm klasyfikujący wymieniane wiadomości e-mail...
-
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
PublikacjaNowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of BRBFs plays a key role in deciding to retrofit buildings after seismic excitation; however, existing formulas have limitations and cannot effectively help civil engineers, e.g., FEMA P-58, which is a conservative estimation method. Therefore, there is a need to...
-
Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublikacjaTreatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...
-
The improvement and evaluation methods of settling properties of activated sludge
PublikacjaW biologicznych oczyszczalniach ścieków często pojawiają się problemy z sedymentacją osadu czynnego. Złe właściwości sedymentacyjne osadu często powodowane są nadmiernym rozwojem bakterii nitkowatych. W pracy przedstawiono koncepcję poprawy właściwości sedymentacyjnych osadu czynnego, opartą na kontroli parametrów pracy reaktorów SBR - temperatury, stężenia tlenu oraz czasu opadania osadu w komorze.
-
Integrating quality criteria and methods of evaluation for software models
PublikacjaRozdział podejmuje zagadnienia jakości modeli w inżynierii oprogramowania. Zawiera on przegląd i systematyzację kryteriów jakości modeli oraz metod oceny jakości modeli. Podaje metodologię tworzenia metod oceny jakości modeli w zależności od kryteriów jakości oraz innych parametrów oceny. Zawiera również studia przypadków zastosowania tej metodologii.
-
Application of creative problem-solving methods in remote learning. Bibliometric analysis
Publikacja -
A Note on Knowledge Management Education: Towards Implementing Active Learning Methods
PublikacjaKnowledge Management as an area of education is still a big challenge for teachers and practitioners. Nevertheless, there are several useful teaching methods in active education, especially oriented towards courses where innovation and delivering dynamic knowledge are critical. The goal of the paper is to present and discuss criteria relevant in the selection of active educational methods supporting knowledge management courses....
-
Topography measurement methods evaluation for entire bending-fatigued fracture surfaces of specimens obtained by explosive welding
PublikacjaIn this paper, the methods of compensation of differences in the results of entire bending-fatigued fracture surface topographies were presented. The roughness evaluation was performed with a focus variation microscope and confocal surface topography measurement techniques. The differences in the ISO 25178 roughness parameters were investigated and procedures for their compensation were studied. It was found that various types...
-
Deep eutectic solvents microbial toxicity: Current state of art and critical evaluation of testing methods
PublikacjaDeep eutectic solvents (DESs) were described at the beginning of 21st century and they consist of a mixture of two or more solid components, which gives rise to a lower melting point compared to the starting materials. Over the years, DESs have proved to be a promising alternative to traditional organic solvents and ionic liquids (ILs) due to their low volatility, low inflammability, easy preparation, and usually low cost of compounds...
-
Evaluation of Inoculated Waste Biological Stabilization Degree by Olfactometric Methods
Publikacja -
Potentiometric detection of organic ionics in separation methods: a critical evaluation
PublikacjaCzujniki potencjometryczne są w tej chwili stosowane głównie w połączeniu ze wstrzykową analizą przepływową. Badano membranowe czujniki potencjometryczne pod względem zastosowania w połączeniu z wysokosprawną chromatografią cieczową i elektroforezą kapilarną. Stosowano anality takie jak środki powierzchniowo czynne i proste leki. Zauważono, że czujniki potencjometryczne dają dobre odpowiedzi na małe i duże jony z ładunkiem wielokrotnym...
-
Analysis and evaluation of grouping methods for effective cutting tool operation
PublikacjaThis article presents the possibilities for using cluster analysis in the assignment of machine tools in automated manufacturing systems. Based on the similarity of manufacturing processes in the system, cutting tools have been grouped. The objective was to obtain groups of similar objects, which could potentially ensure the reduction of the frequency and time of setups, optimizing the maintenance of tool resources and improving...
-
Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublikacjaThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
-
Comparative study on total nitrogen prediction in wastewater treatment 1 plant and effect of various feature selection methods on machine learning algorithms performance
PublikacjaWastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods are used in the pre-processing section for enhancing the model performance. This study aims to evaluate the effect of seven different FS methods (filter, wrapper, and embedded methods) on enhancing the prediction accuracy for total nitrogen (TN) in the WWTP...
-
Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)
Publikacja -
Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines
Publikacja -
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
PublikacjaHigh-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless and environmentally friendly material. It has recently received a substantial amount of interest not only due to the potential it has for being used instead of ordinary concrete but also owing to the concerns associated with climate change, sustainability, reduction of CO2 emissions, and energy consumption. The characteristics and amounts of the...
-
Evaluation of different warping methods for the analysis of CE profiles of urinary nucleosides
Publikacja -
High-throughput Evaluation of Lipophilicity and Acidity by New Gradient HPLC Methods
Publikacja -
Blended Learning Model for Computer Techniques for Students of Architecture
PublikacjaAbstract: The article summarizes two-year experience of implementing hybrid formula for teaching Computer Techniques at the Faculty of Architecture at the Gdansk University of Technology. Original educational e-materials, consisting of video clips, text and graphics instructions, as well as links to online resources are embedded in the university e-learning educational platform. The author discusses technical constraints associated...
-
Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection
Publikacja -
Effect of adopted rules of inference and methods of defuzzification on the final result of the evaluation of reliability made using the fuzzy logic methods
PublikacjaThe object of interest is to solve the problem of risk management of marine systems. But the main trouble is a lack of numerous and sure data on the reliability of the components of such systems. The methods based on the fuzzy logic seem to be helpful here. The goal of the article is to check the effect of using different fuzzy inference rules and methods of defuzzification on the final result of reliability assessment. The three...
-
Comparative Evaluation of Compacting Process for Base Materials using Lab Compaction Methods
Publikacja -
Activity evaluation of some psychoactive drugs with the application of QSAR/QSPR modeling methods
Publikacja -
Spectroscopic Methods in the Evaluation of Modified Vegetable Base Oils from Crambe abyssinica
Publikacja -
Environmentally Oriented Models and Methods for the Evaluation of Drug x Drug Interaction Effects
PublikacjaThis detailed review compares known and widely used methods for drug interaction estimation, some of which now have historical significance. Pharmaceutical application has been noted as far back as several thousand years ago. Relatively late in the 20th century, however, researchers became aware that their fate and metabolism, which still remain a great challenge for environmental analysts and risk assessors. For the patient’s...
-
Programmable dynamically changing RC model for evaluation of Dynamic EIS methods and instrumentation
PublikacjaThe paper concerns the RC equivalent circuit of electrochemical cell with the impedance changed during the experiment. The model was constructed using the digital potentiometers controlled by the microcontroller. This solution allows to control the model impedance by the software means. By creating adequate changes of the impedance spectrum as a time function, the different impedance measurement method can be tested to find out...
-
Methods for evaluation packet delay distribution of flows using Expedited Forwarding PHB.
PublikacjaArtykuł dotyczy problemu zapewnienia statystycznych gwarancji jakości obsługi dla strumieni czasu rzeczywistego korzystających z Expedited Forwarding Per Hop Behavior (EF PHB) w sieci IP Differentiated Services. Statystyczne podejście do określenia gwarancji jakościowych, oparte na obliczaniu prawdopodobieństwa że opóźnienie pakietów od końca do końca jest większe niż określona wielkość, pozwala lepsze wykorzystanie sieci niż poprzednio...
-
Evaluation with micromagnetic methods of T22 and P92 steels microstructure modified by thermal treatment
PublikacjaOpisano rezultaty badań wywołanych obróbką cieplną zmian mikrostruktury na właściwości magnetosprężyste stali T22 oraz P92. Badano pętle histerezy amagnetycznej, polowy efekt Barkhausena (HBE) oraz emisję magnetoakustyczną (EMA). Wykazano, iż komplementarna analiza HBE oraz EMA (obwiednie natężenia i szybkości zliczania impulsów) pozwala na jakościową ocenę charakteru zmian mikrostruktury badanych materiałów.