scholarly journals Model Fusion for Building Type Classification from Aerial and Street View Images

2019 ◽  
Vol 11 (11) ◽  
pp. 1259 ◽  
Author(s):  
Eike Jens Hoffmann ◽  
Yuanyuan Wang ◽  
Martin Werner ◽  
Jian Kang ◽  
Xiao Xiang Zhu
Keyword(s):  
Early Stage ◽  
Destructive Effect ◽  
Street View ◽  
Learning Techniques ◽  
The Common ◽  
Diverse Ensemble ◽  
Type Classification ◽  
Level Fusion ◽  
Very High ◽  
Image Type

This article addresses the question of mapping building functions jointly using both aerial and street view images via deep learning techniques. One of the central challenges here is determining a data fusion strategy that can cope with heterogeneous image modalities. We demonstrate that geometric combinations of the features of such two types of images, especially in an early stage of the convolutional layers, often lead to a destructive effect due to the spatial misalignment of the features. Therefore, we address this problem through a decision-level fusion of a diverse ensemble of models trained from each image type independently. In this way, the significant differences in appearance of aerial and street view images are taken into account. Compared to the common multi-stream end-to-end fusion approaches proposed in the literature, we are able to increase the precision scores from 68% to 76%. Another challenge is that sophisticated classification schemes needed for real applications are highly overlapping and not very well defined without sharp boundaries. As a consequence, classification using machine learning becomes significantly harder. In this work, we choose a highly compact classification scheme with four classes, commercial, residential, public, and industrial because such a classification has a very high value to urban geography being correlated with socio-demographic parameters such as population density and income.

scholarly journals Common issues in the hetero-epitaxial seeding on SiC substrates in the sublimation growth of AlN crystals

2021 ◽  
Vol 127 (8) ◽  
Author(s):  
R. Radhakrishnan Sumathi
Keyword(s):  
Power Electronic ◽  
Etch Pit ◽  
Micro Hole ◽  
Wet Chemical ◽  
The Common ◽  
Common Problems ◽  
Hole Defects ◽  
Sublimation Growth ◽  
Impurity Elements ◽  
Very High

AbstractAluminium nitride (AlN) is a futuristic material for efficient next-generation high-power electronic and optoelectronic applications. Sublimation growth of AlN single crystals with hetero-epitaxial approach using silicon carbide substrates is one of the two prominent approaches emerged, since the pioneering crystal growth work from 1970s. Many groups working on this hetero-epitaxial seeding have abandoned AlN growth altogether due to lot of persistently encountered problems. In this article, we focus on most of the common problems encountered in this process such as macro- and micro-hole defects, cracks, 3D-nucleation, high dislocation density, and incorporation of unintentional impurity elements due to chemical decomposition of the substrate at very high temperatures. Possible ways to successfully solve some of these issues have been discussed. Other few remaining challenges, namely low-angle grain boundaries and deep UV optical absorption, are also presented in the later part of this work. Particular attention has been devoted in this work on the coloration of the crystals with respect to chemical composition. Wet chemical etching gives etch pit density (EPD) values in the order of 105 cm-2 for yellow-coloured samples, while greenish coloration deteriorates the structural properties with EPD values of at least one order more.

Molecule-Based Magnets—An Overview

MRS Bulletin ◽  
2000 ◽  
Vol 25 (11) ◽  
pp. 21-30 ◽  
Author(s):  
Joel S. Miller ◽  
Arthur J. Epstein
Keyword(s):  
Low Temperature ◽  
Vapor Deposition ◽  
Room Temperature ◽  
Chemical Vapor ◽  
Magnetic Ordering ◽  
Low Density ◽  
Materials Properties ◽  
The Common ◽  
New Processing ◽  
Very High

Molecule-based magnets are a broad, emerging class of magnetic materials that expand the materials properties typically associated with magnets to include low density, transparency, electrical insulation, and low-temperature fabrication, as well as combine magnetic ordering with other properties such as photoresponsiveness. Essentially all of the common magnetic phenomena associated with conventional transition-metal and rare-earth-based magnets can be found in molecule-based magnets. Although discovered less than two decades ago, magnets with ordering temperatures exceeding room temperature, very high (∼27.0 kOe or 2.16 MA/m) and very low (several Oe or less) coercivities, and substantial remanent and saturation magnetizations have been achieved. In addition, exotic phenomena including photoresponsiveness have been reported. The advent of molecule-based magnets offers new processing opportunities. For example, thin-film magnets can be prepared by means of low-temperature chemical vapor deposition and electrodeposition methods.

Spectrum of Imaging Findings in Rhino-Orbito-Cerebral Mucormycosis (ROCM) in Post COVID Patients - A Pictorial Review with Clinico-Radiological Correlation

2021 ◽  
Vol 8 (41) ◽  
pp. 3584-3590
Author(s):  
Devarajan Ellezhutil ◽  
Sajeeth Kumar Govindan Keeriyatt ◽  
Sunil Kumar Kunhiparambath ◽  
John Jimmy Nalappat
Keyword(s):  
Early Diagnosis ◽  
Virus Disease ◽  
Vital Role ◽  
Fungal Sinusitis ◽  
Mri Findings ◽  
Pictorial Review ◽  
Radiological Patterns ◽  
The Common ◽  
Magnetic Resonance Imaging Mri ◽  
Very High

BACKGROUND Rhino-orbito-cerebral mucormycosis (ROCM) is a devastating fungal infection with very high rates of mortality. Many patients post corona virus disease (COVID) infection are increasingly being diagnosed with mucormycosis (black fungus). Imaging being central to the early diagnosis of the infection, the study aims to characterize the major radiological patterns of involvement of mucormycosis. Computed tomography (CT) & magnetic resonance imaging (MRI) findings of 10 patients who were subsequently conformed to have mucormycosis were analyzed and 7 major patterns of involvement were detected. Imaging plays a vital role in the early diagnosis of ROCM. Knowledge about the common patterns of spread helps in picking the subtle signs of infection. KEYWORDS Mucormycosis, Post COVID, Fungal Sinusitis, ROCM

Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery

2022 ◽  
Vol 305 ◽  
pp. 117834
Author(s):  
Alfredo Nespoli ◽  
Alessandro Niccolai ◽  
Emanuele Ogliari ◽  
Giovanni Perego ◽  
Elena Collino ◽  
...  
Keyword(s):  
Machine Learning ◽  
Satellite Data ◽  
Machine Learning Techniques ◽  
Solar Irradiation ◽  
Cloud Type ◽  
Learning Techniques ◽  
Type Classification

scholarly journals ASSOCIATIONS OF BLOOD GROUPS ANTIGENS OF AB0 AND RHESUS SYSTEMS WITH THE DEVELOPMENT OF CHRONIC KIDNEY DISEASE, GLOMERULONEPHRITIS

2014 ◽  
pp. 35-43
Author(s):  
V. Kaminskyy ◽  
L. Kovalchuk
Keyword(s):  
Chronic Kidney Disease ◽  
Relative Risk ◽  
High Risk ◽  
Early Stage ◽  
Blood Groups ◽  
Sex Dimorphism ◽  
Risk Of Disease ◽  
The Common ◽  
High Chance ◽  
Healthy Persons

Introduction. Finding of biological markers of genetic predisposition to the formation of glomerulonephritis (GN) will promote prediction the probability of its development still at an early stage and provide the growth of preventive direction of medicine. The purpose of the study is to evaluate the risk of GN development by antigens of AB0 and rhesus (Rh) blood groups. Materials and methods. The study included 434patients with GN(242M, 192F, aged 37.56 ± 13.01y). 1428 healthy persons was surveyed to determine the distribution of phenotypes of AB0 and Rh blood groups in the population. Results. The total value of the relative risk of GN development in all Rh–negative carriers ABprevailed by 2.34 times in the same Rh–positive. The total value of the relative risk of disease appearance in Rh–negative individuals prevailed in the same Rh–positive according to gender: in men with A and AB – 6.43 and 4.16 times, respectively, in women with B and AB – 9.34 and 2.15 times, respectively. In all patients, the common feature was a high chance of getting sick by GN in carriers phenotype AB Rh– versus 0 Rh–. Conclusions. The sex dimorphism of hereditary predisposition markers for GN is proved: men with phenotypes A Rh– and AB Rh–, women with B Rh–, AB Rh– and AB Rh+ have high risk to be ill. The persons of both sexes with phenotype 0 Rh–, as well as men with B Rh– and women with A Rh– and B Rh+ may be resistant to disease.

scholarly journals Tomato Leaf Disease Detection Using Hybrid CNN-RNN Model

2021 ◽  
Author(s):  
Hepzibah Elizabeth David ◽  
K. Ramalakshmi ◽  
R. Venkatesan ◽  
G. Hemalatha
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Early Stage ◽  
Computational Effort ◽  
Tomato Leaf ◽  
Disease Detection ◽  
Tomato Production ◽  
Classification Image ◽  
Leaf Disease ◽  
Learning Techniques

Tomato crops are infected with various diseases that impair tomato production. The recognition of the tomato leaf disease at an early stage protects the tomato crops from getting affected. In the present generation, the emerging deep learning techniques Convolutional Neural Network (CNNs), Recurrent Neural Network (RNNs), Long-Short Term Memory (LSTMs) has manifested significant progress in image classification, image identification, and Sequence Predictions. Thus by using these computer vision-based deep learning techniques, we developed a new method for automatic leaf disease detection. This proposed model is a robust technique for tomato leaf disease identification that gives accurate and better results than other traditional methods. Early tomato leaf disease detection is made possible by using the hybrid CNN-RNN architecture which utilizes less computational effort. In this paper, the required methods for implementing the disease recognition model with results are briefly explained. This paper also mentions the scope of developing more reliable and effective means of classifying and detecting all plant species.

scholarly journals Detection & Classification of Cardiac Arrhythmia

2017 ◽  
Vol 6 (1) ◽  
pp. 31
Author(s):  
Chetan M. Jadhav ◽  
V. K. Bairagi
Keyword(s):  
Cardiac Arrhythmia ◽  
Early Stage ◽  
Low Cost ◽  
Simple Method ◽  
Arrhythmia Detection ◽  
Ecg Signals ◽  
Electrocardiogram Signals ◽  
Electrical Impulses ◽  
Very High

<p>The term Arrhythmia refers to any change from the normal sequence in the electrical impulses. It is also treated as abnormal heart rhythms or irregular heartbeats. The rate of growth of Cardiac Arrhythmia disease is very high &amp; its effects can be observed in any age group in society. Arrhythmia detection can be done in many ways but effective &amp; simple method for detection &amp; diagnosis of  Cardiac Arrhythmia is by doing analysis of Electrocardiogram signals from ECG sensors. ECG signal can give us the detail information of heart activities, so we can use ECG signals to detect the rhythm &amp; behaviour of heart beats resulting into detection &amp; diagnosis of Cardiac Arrhythmia. In this paper new &amp; improved methodology for early Detection &amp; Classification of Cardiac Arrhythmia has been proposed. In this paper ECG signals are captured using ECG sensors &amp; this ECG signals are used &amp; processed to get the required data regarding heart beats of the human being &amp; then proposed methodology applies for Detection &amp; Classification of Cardiac Arrhythmia. Detection of Cardiac Arrhythmia using ECG signals allows us for easy &amp; reliable way with low cost solution to diagnose Arrhythmia in its prior early stage.</p>

scholarly journals Clinical and Demographic Predictors of Mortality due to COVID-19 Pandemic: A Retrospective Study

2021 ◽  
Vol 11 (5) ◽  
pp. 74-81
Author(s):  
Ayushi Rajkumar Jain ◽  
Doss Prakash ◽  
Sheetal Swamy
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Early Stage ◽  
Major Complication ◽  
Respiratory Arrest ◽  
Chi Square ◽  
High Risk Factors ◽  
Demographic Predictors ◽  
Chi Square Test ◽  
The Common

The alarming statistics of COVID-19 surges up in 2021 throwing an enormous burden on the healthcare system across the world. According to WHO reports on 14th April 2021, globally 136,996,364 confirmed COVID-19 cases are reported across the continents, including 2,951,832 deaths. The state of Maharashtra reported the maximum number of cases of India including high mortality rate. This study was conducted to identify and describe the relation of different predictors (Age, gender, duration of hospital stay, presence of co morbidities) of mortality among the COVID-19 deceased patients by retrospectively analyzing the medical case records of 121 patients from a dedicated COVID hospital at Aurangabad from July 2020 to December 2020. Chi-square test was performed to assess the association between causes of death with different cluster of variables and their significance. This study helps us to identify risk factors that show association between various predictors and mortality rate in COVID-19 patients. Out of 121 deaths, 96 (79%) were male, 61 (49.6%) were in age group between 60-79 years, ARDS was one of the major complication in the deceased patients accounting 29.8% and cardio respiratory arrest was the common cause of death among the deceased patients with 85%. It was also observed that mortality rate was very higher in the initial five days of hospitalization with critical care support. Our result findings provide clinical inferences for physicians to identify high-risk factors with COVID-19 at a very early stage. Key words: COVID-19, Mortality rate, Demographic predictors, Co-morbidities, Cardio respiratory arrest.

scholarly journals Sheep Digestive Physiology and Constituents of Feeds

2021 ◽  
Author(s):  
Samir Medjekal ◽  
Mouloud Ghadbane
Keyword(s):  
Cell Wall ◽  
Plant Cell ◽  
Plant Cell Wall ◽  
Early Stage ◽  
Growth Period ◽  
Cell Plate ◽  
Soluble Carbohydrates ◽  
Winter Period ◽  
The Common

Sheep have a gastrointestinal tract similar to that of other ruminants. Their stomach is made up of four digestive organs: the rumen, the reticulum, the omasum and the abomasum. The rumen plays a role in storing ingested foods, which are fermented by a complex anaerobic rumen microbiota population with different types of interactions, positive or negative, that can occur between their microbial populations. Sheep feeding is largely based on the use of natural or cultivated fodder, which is exploited in green by grazing during the growth period of the grass and in the form of fodder preserved during the winter period. Ruminant foods are essentially of plant origin, and their constituents belong to two types of structures: intracellular constituents and cell wall components. Cellular carbohydrates play a role of metabolites or energy reserves; soluble carbohydrates account for less than 10% dry matter (DM) of foods. The plant cell wall is multi-layered and consists of primary wall and secondary wall. Fundamentally, the walls are deposited at an early stage of growth. A central blade forms the common boundary layer between two adjacent cells and occupies the location of the cell plate. Most of the plant cell walls consist of polysaccharides (cellulose, hemicellulose and pectic substances) and lignin, these constituents being highly polymerized, as well as proteins and tannins.

scholarly journals PHYTONCIDES IN THE COMPOSITION OF COMMON BIRD CHERRY

2021 ◽  
Vol 447 (3) ◽  
pp. 70-75
Author(s):  
P.N. Naguman ◽  
A.A. Zhorabek ◽  
A.S. Amanzholova ◽  
I.V. Kulakov ◽  
A.N. Rakhimbaeva
Keyword(s):  
Plant Protection ◽  
Folk Medicine ◽  
Antimicrobial Properties ◽  
Biologically Active ◽  
Natural Immunity ◽  
Prussic Acid ◽  
Destructive Effect ◽  
Inflammatory Processes ◽  
The Common ◽  
Anti Inflammatory

Everyone knows that forest air is very good for health, and one of the most important reasons for this is the presence of phytoncides in it, which kill or suppress pathogens and have a healing effect. Also, phytoncides are one of the factors of the natural immunity of plants (plants sterilize themselves with the products of their vital activity). Their large number is allocated by plants. One of them is the common bird cherry. Cherry-a representative of the genus of plums of the Rosaceae family. The view includes low trees and shrubs. Cheremukha-forest orderly. Its flowers and leaves are rich in phytoncides, thanks to which they exude an alluring aroma. However, when they break down, they release prussic acid, which is dangerous for all living things. This gave them the opportunity to attract and destroy pests. Phytoncides are volatile biologically active substances formed by plants that kill or inhibit the growth and development of bacteria, microscopic fungi, and protozoa. In addition to all of the above, bird cherry has exceptional properties. The strong, somewhat intoxicating scent of flowers and leaves cleanses the air of germs. Antimicrobial properties of phytoncides have led to a large number of studies on their use in medicine, veterinary medicine, plant protection, storage of fruit and vegetable products, in the food industry and other areas of practice. Almost all parts of the plant have bactericidal, fungicidal and insecticidal properties. In folk medicine, bird cherry has long been used as an astringent, fixing, anti-inflammatory and anti-scurvy agent. Bird cherry produces the most powerful phytoncides containing prussic acid. Protozoa die under the influence of bird cherry phytoncides in 5 minutes. On the basis of numerous studies, the time of death of protozoa after noncontact exposure to phytoncidal plants has been established. Especially a lot of phytoncides are released by young leaves in spring and summer, in autumn phytoncides are released much less. The presence of tannins and essential oil in the fruit has an anti-inflammatory effect, which is used to treat inflammatory processes in the gastrointestinal tract and dysentery. The infusion of cherry fruits has a destructive effect on microorganisms. Preparations of the fruits of the common cherry have an antiseptic effect. They are used in dental practice in the treatment of inflammatory processes of the oral mucosa, paradontosis, toothache and hypovitaminosis.

Sign in / Sign up

Export Citation Format

Share Document