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    Wyświetlanie 1-7 z 7
    Tytuł:
    Applicability of artificial intelligence in smart healthcare systems for automatic detection of Parkinson’s Disease
    Autorzy:
    Pallathadka, Harikumar
    Padminivalli V., S.J.R.K.
    Vasavi, M.
    Nancy, P.
    Naved, Mohd
    Kumar, Harish
    Ray, Samrat
    Powiązania:
    https://bibliotekanauki.pl/articles/38709253.pdf
    Data publikacji:
    2024
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    Parkinson’s disease
    detection
    machine learning
    relief algorithm
    LDA algorithm
    SVM-RBF
    accuracy
    sensitivity
    specificity
    choroba Parkinsona
    wykrywanie
    nauczanie maszynowe
    algorytm ulgi
    Algorytm LDA
    dokładność
    wrażliwość
    specyficzność
    Opis:
    Parkinson’s disease is associated with memory loss, anxiety, and depression in the brain. Problems such as poor balance and difficulty during walking can be observed in addition to symptoms of impaired posture and rigidity. The field dedicated to making computers capable of learning autonomously, without having to be explicitly programmed, is known as machine learning. An approach to the diagnosis of Parkinson’s disease, which is based on artificial intelligence, is discussed in this article. The input for this system is provided through photographic examples of Parkinson’s disease patient handwriting. Received photos are preprocessed using the relief feature option to begin the process. This is helpful in the process of selecting characteristics for the identification of Parkinson’s disease. After that, the linear discriminant analysis (LDA) algorithm is employed to reduce the dimensions, bringing down the total number of dimensions that are present in the input data. The photos are then classified via radial basis function-support vector machine (SVM-RBF), k-nearest neighbors (KNN), and naive Bayes algorithms, respectively.
    Źródło:
    Computer Assisted Methods in Engineering and Science; 2024, 31, 2; 175-185
    2299-3649
    Pojawia się w:
    Computer Assisted Methods in Engineering and Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of Glasgow Blatchford, pre-endoscopic Rockall, and modified early warning score systems to predict the clinical outcome of patients with upper gastrointestinal bleeding in the emergency
    Autorzy:
    Krishna, B Skanda Gopala
    Goud, Dabbi Praveen Kumar
    Velavarthipati, Ravi Sankar
    Priya, Siri
    Harish, KM
    Praveen, Kalle
    Powiązania:
    https://bibliotekanauki.pl/articles/13925533.pdf
    Data publikacji:
    2023-09
    Wydawca:
    Towarzystwo Pomocy Doraźnej
    Tematy:
    upper gastrointestinal bleeding
    Glasgow Blatchford scores
    modified early warning score
    pre-endoscopic Rockall
    Opis:
    INTRODUCTION: Upper gastrointestinal bleeding (UGIB) is a life-threatening presentation to the emergency department (ED). In a busy emergency department, emergency department, proper risk stratification is critical to better patients management for patients with variceal or nonvariceal bleeding. This study study was designed to the scoring systems (Modified Early Warning Score (MEW), Pre-endoscopic Rockall (PER), and Glasgow Blatchford Score (GBS) in predicting 15-day mortality, requirement of blood transfusion, probability of rebleeding, and patient outcome within 15-day period in ED. MATERIAL AND METHODS: This study was carried out in with 51 acute UGIB at the emergency department, Department (ED) and department of Medical gastroenterology (MGE) of Narayana Medical College and Hospital, Nellore, India, from February 2020 to June 2022. Clinical The clinical history, presenting signs and symptoms, comorbidities, vitals, laboratory variables, endoscopic diagnosis and treatment history of all patients were recorded and they were followed for 15 days to evaluate rebleeding and its outcome. The chi-square test was applied to qualitative variables. RESULTS: The study enroled 51 patients, of which 82.4% were male, with the majority between 51 and 60 years of age. The majority of cases were presented to the emergency department with haematemesis (60.8%). Non-vasriceal bleeding observed in 94.1% cases. In the 15-day follow- up, 7 patients (7.84%) died and 7 patients (13.7%) rebleed. Totally 26 (50.9%) had a MEWS score of 1, 13 (25.4%) had a score of 2, 9 (17.64%) had a score of >3, and 3 (5.88%) had a score of 0. A PER score of 1 was found in 17 (33.3%), 2 in 4 (7.84%), 3 in 3 (5.88%), 4 in 6 (11.76), 5 in 10 (19.6%) and 6 in 5 (9.80%) patients. 9 (17.6%) cases had a low-risk GBS score of 0-5. Compared to MEWS and GBS, the ROC curve for mortality calculated at 15 days for PERS was 0.96; 95% CI of 0.9 - 1.0, indicating good accuracy. The AUCROC curve for predicting rebleed by PERS score showed area under curve - 0.79, which is also better than the other 2 scoring systems. CONCLUSIONS: PER had a higher negative predictive value (90%) than GBS (80.7%) and MEWS (88.1%) for rebleed measurement. GBS had a higher negative predictive value (96.15%) than PER (52.5%) and MEWS (42.8%) to predict admission of a patient with UGIB. The GBS score >8.5, MEWS score >1.5, and the PER score 4.5 predicted rebleeding. The GBS predicted the need for packed red blood cell transfusions better than the MEWS score and the pre-endoscopic Rockall score. The MEWS score is better at predicting admission and type of bleeding.
    Źródło:
    Critical Care Innovations; 2023, 6, 3; 37-51
    2545-2533
    Pojawia się w:
    Critical Care Innovations
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of traffic rule violations among bike riders. A structural equation model
    Autorzy:
    Adhikari, Biranchi Narayan
    Behera, Ajay Kumar
    Mahapatra, Rabindra Narayan
    Das, Harish Chandra
    Powiązania:
    https://bibliotekanauki.pl/articles/2175844.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    traffic rules violation
    SEM
    bike rider safety
    attribute
    Opis:
    Bikes are becoming an increasingly popular and reliable mode of transportation in developing countries because of their efficiency and ability to navigate through rough terrain and narrow roadways. Bikes are more vulnerable to road accidents and their riders’ safety is the main concern at present days. Hence, it is essential to reduce the possibility of accidents caused by bike riders. The main reason for bike accidents is bike rider behaviours in the form of traffic rules violations. The paper’s main aim is to categorize the importance of seven attributes on traffic rules violations, including bike rider behaviours, road features, ambient conditions, driving skills, type of license, bike age/tenure and riding without a safety device (helmet). Bike riders’ violations that can lead to an accident and the impact of attributes have been analyzed using the structural equation modelling (SEM) technique. To analyze these attributes, 450 bike riders have been interviewed in Bhubaneswar, India. It has been concluded that bike rider behaviours are the most significant attribute of violations. Since most bike riders are young, with low income and education, paying more attention to their training and education before issuing a driving license is necessary. In addition, those who do not use safety devices (helmets) are more susceptible to committing violations. This relates to the lack of enough control and enforcement in developing cities. Also, it shows that the current traffic fines for not using safety devices (helmets) are not enforced enough. Finally, considering this research’s outcomes can help minimize traffic rules violations among bike riders, which is a step towards safer roads.
    Źródło:
    Operations Research and Decisions; 2022, 32, 3; 16--31
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An experimental study of solar air heater using arc shaped wire rib roughness based on energy and exergy analysis
    Autorzy:
    Ghritlahre, Harish Kumar
    Powiązania:
    https://bibliotekanauki.pl/articles/1955008.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    artificial roughness
    energy analysis
    exergy analysis
    solar air heater
    Opis:
    In the present study, energy and exergy analysis has been evaluated for roughened solar air heater (SAH) using arc shaped wire ribs. To achieve this aim, two different types of flow arrangement have been considered. These arrangements are: apex upstream flow and apex downstream flo. In addition to this, a smooth duct SAH has been used for comparative study. The experiments were performed using the mass flow rate of 0.007– 0.022 kg/s on outdoor condition at Jamshedpur city of India. The absorber plate roughness geometry has been designed with relative roughness height 0.0395, rib size 2.5 mm, relative roughness pitch 10 and arc angle 60◦ . The energetic and exergetic performances have been examined on the basis of the first and second law of thermodynamics. According to the results, there is observed to be the maximum thermal efficiency and exergy efficiency as 73.2% and 2.64%, respectively, for apex upstream flow SAH at 0.022 kg/s, while, at same mass flow rate the maximum thermal efficiency and exergy efficiency is obtained as 69.4% and 1.89%, respectively, for apex downstream flow SAH. In addition to this, results reported that the maximum outlet temperature and temperature difference observed at lower mass flow rate. Also examined the outlet air temperature of SAH with various mass flow rates is very important for both analysis.
    Źródło:
    Archives of Thermodynamics; 2021, 42, 3; 115-139
    1231-0956
    2083-6023
    Pojawia się w:
    Archives of Thermodynamics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A comprehensive review on energy and exergy analysis of solar air heaters
    Autorzy:
    Ghritlahre, Harish Kumar
    Sahu, Piyush Kumar
    Powiązania:
    https://bibliotekanauki.pl/articles/240351.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    solar energy
    energy
    exergy analysis
    solar air heater
    thermal performance
    Opis:
    For economic growth of nation, the energy plays an important role. The excessive use of fossil fuels results the increase in global warming and depleting the resources. Due to this reason, the renewable energy sources are creating more attraction for researchers. In renewable energy sector, solar energy is the most abundant and clean source of energy. In solar thermal systems, solar air heater (SAH) is the main system which is used for heating of air. As it is simple in construction and cheaper in cost, it is of main interest for the researchers. The concept of first law and second law of thermodynamics is used for the study of the energy and exergy analysis respectively. The energy analysis is of great importance for the study of process effectiveness while the exergetic analysis is another significant concept to examine the actual behavior of process involving various energy losses and internal irreversibility. For efficient utilization of solar energy, the exergy analysis is very important tool for optimal design of solar air heaters. The aim of the present work is to review the works related to energy and exergy analysis of various types of solar air heaters and to find out the research gap for future work.
    Źródło:
    Archives of Thermodynamics; 2020, 41, 3; 183-222
    1231-0956
    2083-6023
    Pojawia się w:
    Archives of Thermodynamics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Solar air heater performance prediction using artificial neural network technique with relevant input variables
    Autorzy:
    Ghritlahre, Harish Kumar
    Chandrakar, Purvi
    Ahmad, Ashfaque
    Powiązania:
    https://bibliotekanauki.pl/articles/240435.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    artificial neural network
    solar air heater
    thermal performance
    multilayer perceptron
    Opis:
    Solar air heater (SAH) is an important device for solar energy utilization which is used for space heating, crop drying, timber seasoning etc. Its performance mainly depends on system parameters, operating parameters and meteorological parameters. Many researchers have been used these parameters to predict the performance of SAH by analytical or conventional approach and artificial neural network (ANN) technique, but performance prediction of SAH by using relevant input parameters has not been done so far. Therefore, relevant input parameters have been considered in this study. Total ten parameters were used such as mass flow rate, ambient temperature, wind speed, relative humidity, fluid inlet temperature, fluid mean temperature, plate temperature, wind direction, solar elevation and solar intensity to find out the relevant parameters for ANN prediction. Seven different neural models have been constructed using these parameters. In each model 10 to 20 neurons have been selected to find out the optimal model. The optimal neural models for ANN-I, ANN-II, ANN-III, ANN-IV, ANN-V, ANN-VI and ANN-VII were obtained as 10-17-1, 8-14-1, 6-16-1, 5- 14-1, 4-17-1, 3-16-1 and 2-14-1, respectively. It has been found that ANN-II model with 8-14-1 is the optimal model as compared to other neural models. Values of the sum of squared errors, mean relative error, and coefficient of determination were found to be 0.02138, 1.82% and 0.99387, respectively, which shows that the ANN-II developed with mass flow rate, ambient temperature, inlet and mean temperature of air, plate temperature, wind speed and direction, relative humidity, and relevant input parameters performed better. The above results show that these eight parameters are relevant for prediction.
    Źródło:
    Archives of Thermodynamics; 2020, 41, 3; 255-282
    1231-0956
    2083-6023
    Pojawia się w:
    Archives of Thermodynamics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modelling of back propagation neural network to predict the thermal performance of porous bed solar air heater
    Autorzy:
    Ghritlahre, Harish Kumar
    Prasad, Radha Krishna
    Powiązania:
    https://bibliotekanauki.pl/articles/240570.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    solar air heater
    porous bed
    thermal performance
    artificial neural network
    Levenberg-Marquardt algorithm
    Opis:
    The objective of present work is to predict the thermal performance of wire screen porous bed solar air heater using artificial neural network (ANN) technique. This paper also describes the experimental study of porous bed solar air heaters (SAH). Analysis has been performed for two types of porous bed solar air heaters: unidirectional flow and cross flow. The actual experimental data for thermal efficiency of these solar air heaters have been used for developing ANN model and trained with Levenberg-Marquardt (LM) learning algorithm. For an optimal topology the number of neurons in hidden layer is found thirteen (LM-13).The actual experimental values of thermal efficiency of porous bed solar air heaters have been compared with the ANN predicted values. The value of coefficient of determination of proposed network is found as 0.9994 and 0.9964 for unidirectional flow and cross flow types of collector respectively at LM-13. For unidirectional flow SAH, the values of root mean square error, mean absolute error and mean relative percentage error are found to be 0.16359, 0.104235 and 0.24676 respectively, whereas, for cross flow SAH, these values are 0.27693, 0.03428, and 0.36213 respectively. It is concluded that the ANN can be used as an appropriate method for the prediction of thermal performance of porous bed solar air heaters.
    Źródło:
    Archives of Thermodynamics; 2019, 40, 4; 103-128
    1231-0956
    2083-6023
    Pojawia się w:
    Archives of Thermodynamics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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