Volume 10 | Issue 6 |

 Abstract

Chronic kidney Disease (CKD) means your kidneys are damaged and not filtering your blood the way it should. The primary role of kidneys is to filter extra water and waste from The associate editor coordinating the review of this manuscript and approving it for publication was Haruna Chiroma. your blood to produce urine and if the person has suffered from CKD, it means that wastes are collected in the body. This disease is chronic because of the damage gradually over a long period. It is flattering a common disease worldwide. Due to CKD may have some health troubles. There are many causes of CKD like diabetes, high blood pressure, and heart disease. Prediction of Chronic Kidney Disease depends on age and gender. If your kidney is not working, then you may notice one or more symptoms like abdominal pain, back pain, diarrhea, fever, nosebleeds, rash, vomiting In our project, we are going to improve the Deep neural network for detecting chronic kidney disease by increasing the number of hidden layers in it. So that we can able to get high accuracy during classification.

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 Keywords

Deep neural network, hidden layers, CKD.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: An inductor-based DC-DC converter with dual input and output (DIDO) is presented in this paper for renewable energy systems. SOC (State of Charge) control for battery and time-sharing control for switches has been proposed for power flow management between battery, solar PV, and standalone DC load. The converter integrates solar and battery sources at the input and provides a constant output for the load. The surplus energy is stored in the battery and can be utilized later in the absence of renewable energy sources. Both the input sources can power up the load individually and simultaneously. The converter operates in several modes depending upon the availability of input sources and load conditions. Sboost is main boost converter switch, and it will operate at both Dual Output Boost Mode (DOBM) and Dual Input Boost Mode (DIBM). The switches and diodes are used to set the battery as an output to store excess solar PV power and used to set battery as an input. The output capacitor and input capacitor are connected across the load and the input terminal respectively to reduce the output voltage and input voltage ripples. The steady state performance of the single stage converter has been explained with the relevant analytical expressions derived along with the characteristics. The simulation of the entire system is simulated by MATLAB- SIMULINK software and the characteristics are presented. A hardware prototype of the proposed system has been fabricated and dsPIC16F887 controller have been implemented.

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 Keywords

- DC-DC power converter, DIDO converter, Batteries, Solar power generation, Boost converter, Photovoltaic power systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Frederick Henry believes that defeat is worst than living because life becomes horrible and lifeless as he says,"I believe we should get the war over," I said. " It would not finish if one side stopped fighting.It would only be worse if we stopped fighting...Defeat is worse...They come after you.They take your home.They take your sisters...They hang you.They come and make you be a soldier again.Not in the auto-ambulance in the infantry...I think you do not know anything about being conquered and so you think it is bad."To the ambulance driver Frederick describes that if the war is won then nothing happens but if there is a defeat everything is ruined when Frederick says to the ambulance driver that war is always either a defeat or a winning because if one is defeated then they have to pay for their failure as they take away their family,home and near and dear friends and sisters away from them so it is very essential to win a war and to avoid a defeat in war.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper advocates an information summarization approach supported distance instead of the standard period of time once developing personal machine learning models for fuel consumption. This approach is employed in conjunction with some predictors derived from vehicle speed and road grade to provide a extremely prognosticative neural network model for average fuel consumption in significant vehicles.

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A Machine Learning Model For Average Fuel Consumption In Heavy Vehicles

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We are going through a period of lockdown where the Indians have not known this situation for so long. In such a situation, in the era of technology and the Internet plays important role in pandemic period. Everyone spending their free time in front of the digital screen, where they have many options to see. The growing number of viewers of OTT video streaming services and the big star's penchant for this platform justifies this. Today, the time we spend in front of our screens has increased enormously. As cinemas close and film release has been suspended across the country, this technological shift has taken place. The internet has created a new kind of viewing experience and it could end up changing the collective cinema experience that causes a dent in the tread every time the screens reopen. This change in viewing experience created by OTT is a big fear for movie theater owners. This thesis explores seeks to analyze the impact of the rise of OTT video streaming services viewership in lockdown to assess the future of collective watching experience in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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azithromycin dihydrate, dental cones, swelling index, in vitro drug release. Antibacterial study.

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Creative Commons Attribution 4.0 and The Open Definition

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There are number of users who purchase products online and make payment through various websites. There are multiple websites who ask user to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. This type of websites is known as phishing website. Phishing attacks are becoming more common and sophisticated, putting Internet users at risk. While these assaults have shown robust to a wide number of countermeasures presented by academia, business, and research groups, machine learning algorithms look to be a viable option for discriminating between phishing and authentic websites. Existing machine learning algorithms for phishing detection have three major drawbacks. The first issue is that there is neither a framework for extracting features and maintaining the dataset up to date, nor an updated collection of phishing and genuine websites. The second point of concern is the vast number of features employed, as well as the absence of supporting evidence for the characteristics used to train the machine learning classifier. The final point of concern is the sort of datasets utilised in the research, which appear to be unwittingly skewed in terms of URL or content-based attributes. The development of our open-source and extendable system to extract features and produce up-to-date phishing dataset is described in this thesis. We integrated 29 distinct characteristics into our framework, dubbed Fresh-Phish, to determine whether a particular website is authentic or phishing. We constructed a dataset of 6,000 websites with these qualities, 3,000 of which were malicious and 3,000 of which were legitimate, and evaluated our technique using 26 features published in previous work and three novel features. We concentrate on this aspect of phishing websites and design features that investigate the domain name's relationship to the website's key elements. Our study varies from the previous state-of-the-art in that our feature set assures that a dataset has low or no bias. On a sample dataset, our learning model achieves a true positive rate of 98 percent and a classification accuracy of 97 percent using only seven features. Our per data instance processing and classification is 4 times quicker for authentic websites and 10 times faster for phishing websites when compared to state-of-the-art work. We also show the drawbacks of utilising URL-based characteristics, since they are likely to be skewed towards dataset acquisition and consumption.

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Detection of Phishing Websites using an Efficient Deep Learning Framework

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Slabs are a major component of the structural element for building foundations and there is also a great demand for the use of concrete in most constructions. These are the reasons for the creative development of reinforced concrete concepts that reduce weight and give a longer duration. U boot technology is proposed to obtain large-span slabs or to accommodate heavy loads without beams. This technique is used where the U-boot baton can be placed in slabs with concrete and steel with proper arrangement. U-Boot Baton is a container like formwork structure produced using reused polypropylene, a result of the business for building lightweight wide chunks and pontoon establishments in built up concrete.. One solution is to build a slab with a wide span with more bearing power. The utilization of the U-boot structure assists with diminishing how much concrete and steel expected for laying sections.

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U Boot, Polypropylene, Slab, Weight Reduction, Voided Slab, Concrete.

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Creative Commons Attribution 4.0 and The Open Definition

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In order to cure lung cancer early detection of cancer is necessary. Computer aided diagnosis (CAD) technology is used for detection in which CT image is segmented for lung nodules and then after further processing, detection will be done. Machine learning classifiers (KNN, SVM, etc) are used for classification and detection. Noise is induced in the image during acquisition or transmission; there is reduction in performance of detection because it may alter the coefficients which are required for classification. The proposed method is used to filter the image and then subject it to detection, So that performance can be improved compared to detection without filtering.

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specificity, segmentation, feature extraction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition