Pattern recognition is a branch of machine learning and focuses on finding regularities and pattern in data. Pattern recognition is employed in image recognition and classification software such as that which is in use by companies like Facebook, Google and even your mobile. Facebook uses algorithms to match the faces in your image to one … More Pattern recognition

More and more people are killed in stampedes every year. This problem arises mostly in places where massive number of people gather. Whenever due to some reason one or two people or group of people get or feel threatened, they start panicking and as a result the whole crowd panics causing stampedes and massive casualties. … More Crowd Control Algorithm

Police misconduct worldwide is a major problem and involves incidents like fatal shootings, mistreating citizens and involvement in corruption activities. Various preventive measurements have been taken up to date to tackle these issues like fitting police cars with recording systems and introducing penalties for misconduct but still such cases exist and are frequently reported. Algorithms … More Algorithm to predict police misconduct

Data compression is the conversion of data which takes large storing space to a format which takes lesser space. Data compression thus reduces the overall size of the data by using one of the several available techniques. Its need arose when in the beginning, data size was increasing at an exponential rate and the storing … More Data Compression Algorithms

When talking about algorithm design and implementation, every once in a while you may have heard about Computational Complexity. Computational complexity theory is a branch of theory of computation which is also a sub-field of theoretical computer science. It focuses on classifying computational problems like problems in algorithm designs according to their inherent difficulties. It … More Computational Complexity