Cancer which is caused by abnormal growth or tumour snatches away millions of lives each year. Depending on the organ affected, we find various cancer types like blood, skin, lung, kidney, breast, prostrate, liver etc...
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System of voting’s have come a long way progressed *** hand-counting to include Paper, punch cards, mechanical levers, and optical-scan machines are all examples of mechanical levers. Ballotsystem of voting, which ar...
System of voting’s have come a long way progressed *** hand-counting to include Paper, punch cards, mechanical levers, and optical-scan machines are all examples of mechanical levers. Ballotsystem of voting, which are now widely utilized, include several distinguishing characteristics from traditional voting techniques, as well as improved system of voting features precision, ease, flexibility, privacy, verifiability, and portability are just a few examples. However, ballotsystem of voting’shave a number of drawbacks, involves taking up a lot of time and requiring a lot of paper work, providing Higher officials have no direct role, causing machine damage due to inattention, and allowing users to update and change many items at once. These flaws may could be mitigated through making use of a system of voting that includes a face scanner. This is a voting mechanism that allows any voter to exercise his or her right to vote regardless of where they live anywhere in the country. The technology verifies an individual’s identity by emulating faces, as well as eligibility determined by calculating the voter’s by determining the voter’s user identity, obviating the need for current voting cards. Voters can vote in a very secure manner from anywhere in the country without having to go to a voting booth. As a result, voting becomes a risk-free activity, increasing voter turnout. Here the voter is first checked whether he/she is the right person through face verification. Once verified he /she is allowed to cast their vote in the ballot machine. Also, enhance the method to automatically retrieve aadhar card details. Finally, reports containing overall voting results are generated in a secure manner.
Cancer which is caused by abnormal growth or tumour snatches away millions of lives each year. Depending on the organ affected, we find various cancer types like blood, skin, lung, kidney, breast, prostrate, liver etc...
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Cancer which is caused by abnormal growth or tumour snatches away millions of lives each year. Depending on the organ affected, we find various cancer types like blood, skin, lung, kidney, breast, prostrate, liver etc. Some of these are curable if diagnosis of the disease can be made early. Others like pancreatic cancer are very difficult to cure. Hence early detection is one of most important aspects of treatment. Cancer affected patient goes through several stages of the disease. There are usually four stages of cancer. The Stage 1 of cancer being the preliminary stage and stage 4 being the last stage of the disease. It has been observed that the deadliness of the disease aggravates with each stage. There is no fixed or well defined time limit for the change in the stages. It may depend on the type of cancer, the physical attributes of the patient and on external factors and life-style habits. It is usually observed that symptoms change with change in stages of the disease. We intend to find out whether there is any change in the overall relationship between the genes amongst the various stages of lung cancer patients. Long Short Term Memory (LSTM), Bidirectional Long Short Term Memory (BiLSTM) and Feed Forward Neural Network (FNN) are used for analyzing the gene dependencies. The comparative analysis of the results obtained is done using various statistical methods of correlation and regression. Analysis of the results reveal significant variance in correlation among the various stages of lung cancer, showing Stage 2 and Stage 3 to be the most strongly correlated and Stage 1 and Stage 2 being the most weakly correlated indicating the inconsistency of genetic relationship between the various stages of lung cancer.
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