Comparison of various machine learning approaches uses in heart ailments prediction

Heart disease has been the leading cause of a huge number of deaths in recent years. As a result, an accurate and feasible system is required to diagnose this disease early to provide better treatment. Advances in machine learning have the potential to enhance healthcare access. Given the importance of a crucial organ like the heart, medical professionals and physicians have made it a priority to forecast heart failure-related events in clinical practice, nevertheless, forecasting heart failure-related events in clinical practice has generally failed to achieve high accuracy. The objective here is to demonstrate how machine learning may be used to solve the problem. By analyzing hundreds of healthcare data and other semantics, machine learning algorithms can analyze related cases with diseases and health conditions. Here a demonstration of how to load the data, generate predictions through different models from patient data is shown. The metrics are then compared for a better understanding of their function and what impact can be inferred from them.

Cardiovascular Disease Prediction Using Machine Learning

Heart-related diseases or Cardiovascular Diseases (CVDs) are the most common and main reasons for a huge number of deaths in the world, not only in India but in the whole world. So, there is a need for a reliable, accurate, and feasible system to diagnose such diseases in time for proper treatment. This research paper represents the various models based on such algorithms and techniques to analyze their performance. Such as Logistic Regression, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Naive Bayes, Random Forest, and ensemble models which are Supervised Learning algorithms. Using various important features that are necessary for the prediction of CVDs (like a person is having CVDs or not), which we will further discuss in this paper.

From the Experience of Applying Innovative Technologies in Teaching Speaking Skills of Medical Students at the English Language Lessons

The article deals with the necessity and the importance of applying innovative technologies to foreign language lessons in teaching speaking skills. They have a number of advantages compared with other technology in the field of learning a foreign language, as they allow: to improve the process of organic combination of traditional forms and methods of education with innovation; implement training, information, games, modeling, design and analysis functions; general didactic perform such principles as the visibility, accessibility, difficulty feasible, system, transition from education to self-education, positive emotional background of training, between theory and practice.

Cost & Coal Management of a CFBC Boiler in a Power Station

India, being the world's third most observable customer and third most essential power producer with relentless presented generally sensational of 364.17 GW, contributing 68% of warm Capacity as of 31st October 2019. The dependable report of the International Energy Agency (IEA) shows that general coal use is on the trip again +1.79% showed up contrastingly in relationship with 2018. Consequently, Thermal power passing on stations is essential. For the Simhapuri Thermal Power Station (the one considered in the present assessment), it is seen that, for a progress in Magnetic substance by 2%, the particular coal use expands by about 8%. Suffering, regardless, the trash content is associated by 2%, the particular coal use expands by about 5%. It is in like way observed that, for a 4% improvement in fixed carbon; the particular coal use diminishes by about 25%. Starting now and into the not all that far off it is proposed to present an interfacing with separator at the bed material stacking point. With this foundation of pulling in separator gear saw a yearly electrical vitality sparing farthest point of 116.14Lakh kWh and coal experience resources of 12730 MT. Seen electricalenergy speculation accounts works out to be 5.3 % of the yearly electrical centrality ate up (2158.9 Lakh kWh) during the year Sep 2018 – Aug 2019. Assessed yearly centrality cost sparing point of confinement of Rs. 769.54 Lakhs (counting coal hold saves) works out to be 8.9 % of the yearly significance cost (Rs. 8635.8 Lakhs) for the year Sep 2018 – Aug 2019. The Proposed issue is attempted with MATLAB condition and cost appraisal of warm power plant is disengaged and existing making data. The test results exhibited that the proposed structure gives a feasible system beast experience additional items and essential for suffering assignments.

RD efluoridation of Groundwater using Natural Bio Adsorbents

Fluoride is every now and again delineated as a 'twofold edged sword' as lacking ingestion is connected with dental caries, where as excessive confirmation prompts dental, skeletal and fragile tissue fluorosis-which has no fix. Considering how fluorosis is an irreversible condition and has no fix, balancing activity is the principle answer for this peril. Giving water, with perfect fluoride center is the principle course by which the age yet to be imagined can be totally verified against the ailment. Defluoridation was the customary and comprehensively attempted procedure for giving safe water to the fluorosis impacted systems. Various techniques and materials were endeavored all through the world for defluoridation of water. Defluoridation frameworks can be widely described in to four orders; Adsorption methodology, Particle exchange technique, Precipitation system, and Different methodologies, which join electro compound defluoridation and Invert Assimilation. Among all significant defluoridation strategies, the Nalgonda procedure is the most effective and generally utilized method for defluoridation. Nevertheless, there is an especially need to build up a feasible system that is practical and easy to understand.In present investigation, rice husk and eggshell powder are utilized as adsorbents to evacuate the fluorides in water. The cluster contemplates uncovered that these normal materials have high expulsion productivity, which is significantly affected by the measurement content, Ph, contact time. Additionally diagrams are utilized to analyze the efficiencies of practical and traditional procedures

An Analytical Approach For Transmission Expansion Planning with Generation Variations

Planning for expanding a power system under different scenarios is one of the major challenge for power engineers hence, it is very important and essential to implement a well-balanced and feasible system over a time horizon under suitable assumptions and available constraints. Transmission expansion planning is one of this task. Here it is important to develop a suitable planning structure. In this paper some analytical approaches have been implemented for specific load condition with variations in generation.

Enhancement of Methane Concentration by Removing Contaminants from Biogas Mixtures Using Combined Method of Absorption and Adsorption

We report a laboratory scale combined absorption and adsorption chemical process to remove contaminants from anaerobically produced biogas using cafeteria (food), vegetable, fruit, and cattle manure wastes. Iron oxide (Fe2O3), zero valent iron (Feo), and iron chloride (FeCl2) react with hydrogen sulfide (H2S) to deposit colloidal sulfur. Silica gel, sodium sulfate (Na2SO4), and calcium oxide (CaO) reduce the water vapour (H2O) and carbon dioxide (CO2). It is possible to upgrade methane (CH4) above 95% in biogas using chemical or physical absorption or adsorption process. The removal efficiency of CO2, H2S, and H2O depends on the mass of removing agent and system pH. The results showed that Ca(OH)2solutions are capable of reducing CO2below 6%. The H2S concentration was reduced to 89%, 90%, 86%, 85%, and 96% for treating with 10 g of FeCl2,Feo(with pH), Fe2O3,Feo, and activated carbon, respectively. The H2O concentration was reduced to 0.2%, 0.7%, 0.2%, 0.2%, and 0.3% for treating raw biogas with 10 g of silica gel and Na2SO4for runs R1, R2, R3, R4, and R5, respectively. Thus, given the successful contaminant elimination, the combined absorption and adsorption process is a feasible system for biogas purification.

A Classification System for Pottery Shape at Prehistoric Sites in Lower Egypt

Pottery data from prehistoric sites in Lower Egypt has been reported using different classification systems dependent on the site where it was discovered. This makes comparative analysis of pottery from different locations highly problematic. The significant majority of pottery excavated at these sites is either incomplete or consists of pot sherds that cannot be reconstructed. This paper will consider the problems that exist in publishing data concerning pottery shape and examine the classification systems adopted in earlier reports. Bearing these earlier systems in mind, the report will consider what the most feasible general classification system would be for the recording and classifying of pot sherd shape data from all Lower Egyptian sites, which would also be able to integrate together even with pottery shape data in the earlier reports as accurately as possible. There might be the feasible system or a prototype of it amongst the systems already in use.

Techno-economic analysis of hybrid system (PV/wind/diesel generator/grid) for domestic consumers in balochistan (nokkundi & ormara)

This paper aims to focus on technical and economical analysis of small scale wind/solar hybrid system for domestic consumers. The analysis is carried out on HOMER II simulation software. Pakistan is one of those developing countries which are encountered with severe energy crises. The purpose of this paper is to introduce a technically and economically feasible system to meet the domestic consumer’s demand, as well as contribute to the central grid. HOMER Energy software is used to analyze different systems and to obtain the most reliable and feasible system for the customer. Simulation was carried out to find an economically and technically feasible system. Sensitivity analysis was carried out with hub height, PV De-rating factor, PV life, Wind turbine life. Change in hub height drastically affected energy production and economic prospect as the main factors of the system. Implementing such type of small hybrid systems on domestic level can be truly helpful to overcome energy shortage.