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Search results for: KNN CLASSIFIER
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Visual Object Tracking System Employing Fixed and PTZ Cameras
PublicationThe paper presents a video monitoring system utilizing fixed and PTZ cameras for tracking of moving objects. First type of camera provides image for background modelling, being employed for foreground objects localization. Estimated objects locations are then utilised for steering of PTZ cameras when observing targeted objects with high close-ups. Objects are classified into several classes, then basic event detection is being...
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Genotyping of clinical isolates of fluconazole-resistant Candida albicans
PublicationThe aim of the study was to compare the discriminatory power of RAPD-PCR method with using RSD10 primer and microsatellite analysis with using (GACA)4 primer for genotyping clinical isolates of fluconazole-resistant C. albicans. Isolates were received from patients of Children's Memorial Health Institute in Warsaw. However in the case of both tested methods low number of amplified fragments was generated, nine and six different...
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Determination of Terpene Profile in Cape gooseberry (Physalis peruviana L.) with Use of HS-SPME/GCxGC-TOFMS Method
PublicationFresh fruits and products made of them, especially fruit juice, provide the basic energetic substances (simple and complex sugars) and are a source of health beneficial vitamins, macro and microelements, antioxidants and compounds which are classified together with essential oils (for example terpenes), which positively affect human s health. The terpenes profile of cape gooseberry was determined by headspace solid--phase microextraction...
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An Overview of Image Analysis Techniques in Endoscopic Bleeding Detection
PublicationAuthors review the existing bleeding detection methods focusing their attention on the image processing techniques utilised in the algorithms. In the article, 18 methods were analysed and their functional components were identified. The authors proposed six different groups, to which algorithms’ components were assigned: colour techniques, reflecting features of pixels as individual values, texture techniques, considering spatial...
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Road safety inspection as a tool for road safety management – the polish experience
PublicationIn Poland, road inspections were implemented in June 2014 on all national roads. Previously conducted traffic surveys mainly related to the technical condition of roads, signs and markings; other safety issues were overlooked. The main problem that occurs during inspection is an inspector’s subjective qualitative assessment which affects the classification of the sources of hazard on the road.. The paper presents an analysis of...
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Different aspects of women’s participation in self-employment with particular reference to the costs
PublicationOver the last twenty years a growing number of researchers have been interested in female entrepreneurship. It is wort noting that being a self-employed person, for certain women, is the only chance to participate actively in social and economic life. Women choose self-employment because of flexibility of schedule and family-related reasons. This study aims to increase knowledge about self-employment as one of multiple labor market...
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Determination of toxic gases based on the responses of a single electrocatalytic sensor and pattern recognition techniques
PublicationA response from an electrocatalytic gas sensor contains fingerprint information about the type of gas and its concentration. As a result, a single gas sensor can be used for the determination of different gases. However, information about the type of gas and its concentration is hidden in the unique shape of the current–voltage response and it is quite difficult to explore. One of the ways to get precise information about the measured...
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Usefulness of chest perfusion computed tomography in the diagnosis of diabetic pulmonary microangiopathy
PublicationThis paper presents the usefulness of perfusion computed tomography (pCT) in the diagnosis of diabetic pulmonary microangiopathy. Our previous works have shown that perfusion parameters are useful in the diagnosis of diabetic pulmonary microangiopathy. We are looking for such measurements and perfusion parameters that provide the most accurate diagnosis. Two types of comparison were made based on the results of clinical trials:...
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Mask Detection and Classification in Thermal Face Images
PublicationFace masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic. In this work, the use of thermal imaging was considered to analyze the possibility of detecting (localizing) a mask on the face, as well as to check whether it is possible to classify...
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Bass Enhancement Settings in Portable Devices Based on Music Genre Recognition
PublicationThe paper presents a novel approach to the Virtual Bass Synthesis (VBS) applied to mobile devices, called Smart VBS (SVBS). The proposed algorithm uses an intelligent, rule-based setting of bass synthesis parameters adjusted to the particular music genre. Harmonic generation is based on a nonlinear device (NLD) method with the intelligent controlling system adapting to the recognized music genre. To automatically classify music...
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Optimization of Transport Properties of A-Site Ordered LnBa1-xSrxCo2-yFeyO5+ Perovskite-Type Cathode Materials
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Evaluation of Ln2CuO4 (Ln: La, Pr, Nd) oxides as cathode materials for IT-SOFCs
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The structure of dimethylsulfoxide-solvated magnesium and calcium ions in solution and the solid state, and overview of the coordination chemistry of hydrated and solvated alkaline earth metal ions
PublicationOznaczono strukturę w stanie stałym i ciekłym solwatowanych jonów magnezu i wapnia w dimetylosulfotlenku. Stwierdzono, ze jony te tworzą sześciokoordynacyjne solwaty ze średnią długością wiązań Mg-O i Ca-O 2.062(4) i 2.303(5)A. Przegląd literaturowy ukazał, że jony berylu i magnezu we wszystkich rozpuszczalnikach tworzą odpowiednio cztero- i sześciokoordynacyjne solwaty, podczas gdy jony wapnia i strontu istnieją jako ośmiokoordynacyjne...
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Quantitative Risk Assessment in Construction Disputes Based on Machine Learning Tools
PublicationA high monetary value of the construction projects is one of the reasons of frequent disputes between a general contractor (GC) and a client. A construction site is a unique, one-time, and single-product factory with many parties involved and dependent on each other. The organizational dependencies and their complexity make any fault or mistake propagate and influence the final result (delays, cost overruns). The constant will...
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EVALUATION OF LIQUID-GAS FLOW IN PIPELINE USING GAMMA-RAY ABSORPTION TECHNIQUE AND ADVANCED SIGNAL PROCESSING
PublicationLiquid-gas flows in pipelines appear in many industrial processes, e.g. in the nuclear, mining, and oil industry. The gamma-absorption technique is one of the methods that can be successfully applied to study such flows. This paper presents the use of thegamma-absorption method to determine the water-air flow parameters in a horizontal pipeline. Three flow types were studied in this work: plug, transitional plug-bubble,...
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Ultrasound-Assisted Solvent Extraction of a Porous Membrane Packed Sample for the Determination of Tobacco-Specific Nitrosamines in the Replacement Liquids for E-Cigarettes
PublicationThe content of tobacco-specific nitrosamines (TSNAs) possessing carcinogenic properties has been an important area of research since replacement liquids were introduced for e-cigarettes. A method for determining N′-nitrosonornicotine (NNN), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), N′-nitrosoanatabine (NAT), and N′-nitrosoanabasine (NAB) in replacement liquids for electronic cigarettes was developed using liquid chromatography–tandem...
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Analiza obciążenia osi pojazdów ciężkich na podstawie danych z ważenia pojazdów w ruchu (WIM)
PublicationW artykule przedstawiono rozkłady obciążenia poszczególnych rodzajów osi pojazdów. Podstawą analizy były dane z ważenia 12 mln pojazdów ciężkich w okresie od roku do 3 lat na 10 stacjach ważenia pojazdów w ruchu, z ang. weigh in motion (WIM), w Polsce. Celem artykułu, oprócz przedstawienia rozkładów, jest ocena wpływu dopuszczalnego obciążenia osi na rzeczywiste obciążenia osi pojazdów ciężkich. Przedstawiono opis matematyczny...
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Evaluating calibration and robustness of pedestrian detectors
PublicationIn this work robustness and calibration of modern pedestrian detectors are evaluated. Pedestrian detection is a crucial perception com- ponent in autonomous driving and here we study its performance under different image corruptions. Furthermore, we provide analysis of classifi- cation calibration of pedestrian detectors and we show a positive effect of using style-transfer augmentation technique. Our analysis is aimed as a step...
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Dobór rodzaju funkcjonalnego PG asfaltów według metody Superpave w zależności od stref klimatycznych w Polsce.
PublicationObecnie w Polsce, podobnie jak i w pozostałych krajach Unii Europejskiej, asfalty drogowe są badane i klasyfikowane głównie w oparciu o wynik oznaczenia penetracji w temperaturze 25ºC niezależnie od warunków klimatycznych, w jakich potem mają one pracować w nawierzchni drogowej. Pod koniec ubiegłego wieku w ramach amerykańskiego programu SHRP opracowano i wdrożono nowy system klasyfikacji asfaltów. Ideą wprowadzenia nowego systemu...
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Using angular dependence of multibeam echo features in seabed classification
PublicationThe new approach to seabed classification based on processing multibeam sonar echoes is presented. The multibeam sonars, besides their well verified and widely used applications like high resolution bathymetry measurements or underwater object imaging, are also the promising tool in seafloor identification and classification, having several advantages over conventional single beam echosounders. The proposed seabed classification...
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Speech Analytics Based on Machine Learning
PublicationIn this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...
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Musical Instrument Tagging Using Data Augmentation and Effective Noisy Data Processing
PublicationDeveloping signal processing methods to extract information automatically has potential in several applications, for example searching for multimedia based on its audio content, making context-aware mobile applications (e.g., tuning apps), or pre-processing for an automatic mixing system. However, the last-mentioned application needs a significant amount of research to reliably recognize real musical instruments in recordings....
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The Indication Methods and Techniques of Urban Light Pollution
PublicationThe goal of this study is to review and categorize approaches and methods of facing urban light pollution. Probing various references and documents, the current practice focus on extracting and reviewing different types of urban light pollution detection, survey, and measurement to define a taxonomy of methods by instant comparison. The means of measurement and detecting this pollution include 14 most cited techniques that have...
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Human-Computer Interface Based on Visual Lip Movement and Gesture Recognition
PublicationThe multimodal human-computer interface (HCI) called LipMouse is presented, allowing a user to work on a computer using movements and gestures made with his/her mouth only. Algorithms for lip movement tracking and lip gesture recognition are presented in details. User face images are captured with a standard webcam. Face detection is based on a cascade of boosted classifiers using Haar-like features. A mouth region is located in...
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Linux scheduler improvement for time demanding network applications, running on Communication Platform Systems
PublicationCommunication Platform Systems as ex. ATCA standard blades located in standardized chassis provides high level communication services between system peripherals. Each ATCA blade brings dedicated functionality to the system but can as well exist as separated host responsible for servicing set of task. According to platform philosophy these parts of system can be quite independent against another solutions provided by competitors....
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A Taxonomy of Model-Based Testing for Embedded Systems from Multiple Industry Domains
PublicationThis chapter provides a taxonomy of Model-Based Testing (MBT) based on the approaches that are presented throughout this book as well as in the related literature. The techniques for testing are categorized using a number of dimensions to familiarize the reader with the terminology used throughout the chapters that follow. In this chapter, after a brief introduction, a general definition of MBT and related work on available MBT...
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User Mobility’s Influence on System Loss in Off-Body BAN Scenarios
PublicationIn this paper, a measurement campaign for off-body communications in an indoor environment is investigated for a set of on-body antennas. The channel impulse response was measured with the user approaching and departing from an off-body fixed antenna using two user dynamics: standing at fixed positions and walking. The processing of the measurement data allowed to evaluate system loss statistics. Different antenna configurations...
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Mobility’s Influence on System Loss in Off-Body BAN Scenarios
PublicationIn this paper, a measurement campaign for off body communications in an indoor environment is investigated for a set of on-body antennas. The channel impulse response was measured with the user approaching and departing from an off-body fixed antenna using two user dynamics, standing at fixed positions and walking. The processing of the measurement data allowed to evaluate system loss statistics. Different antenna configurations...
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Unconventional and user-friendly sampling techniques of semi-volatile organic compounds present in an indoor environment: An approach to human exposure assessment
PublicationThe commonly applied solutions used to assess the potential risk of human exposure to semi-volatile organic compounds (SVOCs) are based on the investigation of biological samples collected in an invasive or non-invasive manner. For SVOCs, which are typically introduced to humans through the respiratory system, dermal adsorption, or digestive system, sampling solutions generally used in the indoor environments are classified as...
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Alternative diagnostic method applied on marine diesel engines having limited monitoring susceptibility
PublicationThe paper presents a method of technical state evaluation of working spaces of a marine diesel engine at the limited control susceptibility. The method foresees making a diagnosis of the engine's working spaces on the basis of measurements of the exhaust gas pressure in the channels connecting engine cylinders with the turbocharger's turbine. Diagnostic measurements are carried out at representative (comparative) steady loads depending...
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Alternative diagnostic method applied on marine diesel engines having limited monitoring susceptibility
PublicationThe paper presents a method of technical state evaluation of working spaces of a marine diesel engine at the limited control susceptibility. The method foresees making a diagnosis of the engine's working spaces on the basis of measurements of the exhaust gas pressure in the channels connecting engine cylinders with the turbocharger's turbine. Diagnostic measurements are carried out at representative (comparative) steady loads depending...
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A procedure for the determination of dichloromethane and tetrachloroethene in water using pervaporation and gas chromatography
PublicationIn the present study, pervaporation was applied to the determination of tetrachloroethene (PCE) and dichloromethane (DCM) in liquid samples. PCE is the most commonly used solvent in dry-cleaning processes. PCE belongs to group 2A of carcinogens (probably carcinogenic to humans) according to the classification of the International Agency for Research on Cancer (IARC). DCM is also widely used as an industrial solvent for the purification...
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Camera Orientation-Independent Parking Events Detection
PublicationThe paper describes the method for detecting precise position and time of vehicles parking in a parking lot. This task is trivial in case of favorable camera orientation but gets much more complex when an angle between the camera viewing axis and the ground is small. The method utilizes background subtraction and object tracking algorithms for detecting moving objects in a video stream. Objects are classified into vehicles and...
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Polysaccharide-based electroconductive hydrogels: Structure, properties and biomedical applications
PublicationArchitecting an appropriate platform for biomedical applications requires setting a balance between simplicity and complexity. Polysaccharides (PSAs) play essential roles in our life in food resources, structural materials, and energy storage capacitors. Moreover, the diversity and abundance of PSAs have made them an indispensable part of food ingredients and cosmetics. PSA-based hydrogels have been extensively reviewed in biomedical...
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Znaczenie kobiet w firmach rodzinnych: wczoraj, dziś i jutro
PublicationAbstract: This paper provides a review of the literature on women in family businesses. Based on a structured literature review (SLR) method, 81 articles and other research works published since 1997 were analysed. The aim was to contribute to the literature and present what is new in the recent debate and how the evolutionary trend looks like. Over the last twenty years only a few investigations have studied women in family firms....
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Experimental study of the effect of vertical acceleration component on the slope stability
PublicationThe paper deals with the stability of earth dams subjected to seismic and paraseismic excitations occurring in the close distance to the dam. The Newmark’s stability approach, classified as a simplified dynamic method, has been extended for two directional dynamic loading case and the evolution of the friction coefficient. The paper is focused on the experimental verification of the proposed method for harmonic and cyclic excitations...
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Multimodal Approach For Polysensory Stimulation And Diagnosis Of Subjects With Severe Communication Disorders
Publicationis evaluated on 9 patients, data analysis methods are described, and experiments of correlating Glasgow Coma Scale with extracted features describing subjects performance in therapeutic exercises exploiting EEG and eyetracker are presented. Performance metrics are proposed, and k-means clusters used to define concepts for mental states related to EEG and eyetracking activity. Finally, it is shown that the strongest correlations...
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Comparing the Effectiveness of ANNs and SVMs in Forecasting the Impact of Traffic-Induced Vibrations on Building
PublicationTraffic - induced vibrations may cause damage to structural elements and may even lead to structural collapse. The aim of the article is to compare the effectiveness of algorithms in forecasting the impact of vibrations on buildings using the Machine Learning (ML) methods. The paper presents two alternative approaches by using Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). Factors that may affect traffic-induced...
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Robot Eye Perspective in Perceiving Facial Expressions in Interaction with Children with Autism
PublicationThe paper concerns automatic facial expression analysis applied in a study of natural “in the wild” interaction between children with autism and a social robot. The paper reports a study that analyzed the recordings captured via a camera located in the eye of a robot. Children with autism exhibit a diverse level of deficits, including ones in social interaction and emotional expression. The aim of the study was to explore the possibility...
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Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
PublicationMachine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
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Statyka i analiza wrażliwości rusztów zbudowanych z prętów cienkościennych. Analiza teoretyczna i badania doświadczalne/ M. Kujawa.
PublicationW monografii opisano badania prowadzone w ramach grantu KBN Nr 4 T07E 051 28, zakończonego pracą doktorską obronioną na Wydziale Inżynierii Lądowej i Środowiska PG w 2007 roku. Praca dotyczy analizy statycznej i analizy wrażliwości cienkościennych dźwigarów załamanych w planie usztywnionych miejscowo przez przepony lub przewiązki. Przedstawiono w niej koncepcję metody modelowania konstrukcji dźwigarów cienkościennych z wykorzystaniem...
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Non-relativistic quantum scattering from non-local separable potentials: the eignchannel approach
PublicationOstatnio sformułowana wersja metody kanałów własnych [R. Szmytkowski, Ann. Phys. (N.Y.) 311, 503 (2004)] została zastosowana do kwantowego rozpraszania cząstek Schroedingera na nielokalnych potencjałach separowalnych. Wektory kanałów własnych oraz ujemne kotangensy przesunięć fazowych zostały wprowadzone jako rozwiązania własne pewnego uogólnionego macierzowego zagadnienia na wartości własne, bez konieczności uprzedniej konstrukcji...
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Monitorowanie zabiegów kardiochirurgicznych
PublicationNiniejszy rozdział jest poświęcony analizie możliwości wykorzystania obiektywnych ilościowych metod pomiarowych w podczerwieni do oceny procedur interwencji kardiochirurgicznych, głównie procedur standardowych, powszechnie stosowanych w praktyce medycznej. Prezentowane wyniki uzyskano, realizując projekty badawcze, w szczególności grant KBN 3T11E 010 27 „Analiza technik diagnostycznych i terapeutycznych w celu minimalizacji ryzyka...
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Wizualizacja i sterowanie urządzeniami w Laboratorium Zarządzania i Integracji Systemów Automatyki Budynków Politechniki Gdańskiej
PublicationLaboratorium Zarządzania i Integracji Systemów Automatyki Budynków powstało na Wydziale Elektrotechniki i Automatyki Politechniki Gdańskiej w ramach jednego z zadań projektu "Sieć certyfikowanych laboratoriów oceny efektywności energetycznej i automatyki budynków" (POIG.02.02.00-00-018/08) współfinansowanego ze środków Unii Europejskiej. W artykule przedstawiono wizualizację i sposób sterowania urządzeniami wdrożone w tym laboratorium....
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Minimization of the number of periodic points for smooth self-maps of simply-connected manifolds with periodic sequence of Lefschetz numbers
PublicationLet f be a smooth self-map of m-dimensional, m ≥ 4, smooth closed connected and simply-connected manifold, r a fixed natural number. For the class of maps with periodic sequence of Lefschetz numbers of iterations the authors introduced in [Graff G., Kaczkowska A., Reducing the number of periodic points in smooth homotopy class of self-maps of simply-connected manifolds with periodic sequence of Lefschetz numbers, Ann. Polon. Math....
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Ship Resistance Prediction with Artificial Neural Networks
PublicationThe paper is dedicated to a new method of ship’s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes...
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Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
PublicationNitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, a new method for predicting liquid N2O production during nitrification was developed based on a mechanistic model and machine learning (ML) algorithm. The mechanistic model was first used for simulation of two 15-day experimental trials in a nitrifying sequencing batch reactor. Then, model predictions...
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Numerical Modelling for Prediction of Compression Index from Soil Index Properties in Jimma town, Ethiopia
PublicationIn this study, correlations are developed to predict compression index (Cc) from index parameters so that one can be able to model Jimma soils with compression index using simple laboratory tests. Undisturbed and disturbed soil samples from twelve different locations in Jimma town were collected. Laboratory tests like specific gravity, grain size analysis, Atterberg limit, and one-dimensional consolidation test for a total of twenty-four...
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Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm
PublicationIn an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently,...
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Robust and Efficient Machine Learning Algorithms for Visual Recognition
PublicationIn visual recognition, the task is to identify and localize all objects of interest in the input image. With the ubiquitous presence of visual data in modern days, the role of object recognition algorithms is becoming more significant than ever and ranges from autonomous driving to computer-aided diagnosis in medicine. Current models for visual recognition are dominated by models based on Convolutional Neural Networks (CNNs), which...