Cervical cancer affects nearly 4% of the women across the globe and leads to mortality if not treated in early stage. A few decades before, the mortality rate was too high when compared to the present statistics. This is achieved as nowadays most of women are aware of this disease and undergo health examination mainly for screening cervical cancer on regular basis. But only the accurate diagnosis can be helpful for further treatment. Many works are carried out for accurate diagnosis and always have some limitations in accurate predictions. In this work, an efficient algorithm is proposed for the accurate diagnosis of cervical cancer. A meta-heuristic called artificial Jellyfish search optimizer (JS) algorithm is combined with artificial neural network (ANN) to tackle this problem. The proposed algorithm is called JellyfishSearch_ANN and is employed to classify the cervical cancer dataset with four type of targets based on the examination. The JellyfishSearch_ANN provides outstanding results among other classifiers taken for comparison and mainly its classification accuracy is found to be above 98.87% for all targets.
As technology has advanced quickly, more individuals are using smartphones for a variety of functions such as marketing, business, social media, surfing, etc. This has also increased the threat of information sharing across various sites, which is one of the major reasons for harassment cases and other security threats against women. Surveys reveal that, smartphone usage by women has risen upto 5 folds in the last 6 years which is an average increase by 27% per annum. The increase in usage means that, there are high chances for misuse of information which results in security threats for women. The proposed system aims to create awareness of smartphone usage in mobile computing among women to efficiently handle it by avoiding physical assaults and harassments against women. It focuses to provide a Global Positioning System (GPS) dependent, android based safety application exclusively designed for women who travel farther distances on daily basis. Here it is implemented with help of Dijkstra’s Algorithm to find out locations based on Breadth First Search to form shorted path tree for reachable locations.
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