ABSTRAT: Suspicious activities are of a problem when it comes to the potential risk it brings to humans. With the increase in criminal activities in
ABSTRAT: Suspicious activities are of a problem when it comes to the potential risk it brings to humans. With the increase in criminal activities in
Abstract In this paper, we use machine learning, namely an artificial neural network to determine what are the chances that Facebook friend request is authentic
In recent times, there has been a drastic change in people’s lifestyles and with an increase in incomes and lower cost of automobiles there is
ABSTRACT Video-based abnormal driving behaviour detection is becoming more and more popular for the time being, as it is highly important in ensuring safeties of
ABSTRACT Crime is an alarming aspect of our society, and its prevention is a vital task. Crime analysis is a well-organised way of detecting and
ABSTRAT: With ever-evolving technologies, the banking systems can update from their traditional methodologies to a digital, immutable, distributed ledger that can be implemented via Blockchain.
ABSTRAT: The prevailing text steganalysis methods detect steganographic communication by extracting hand-crafted features and classifying them using SVM. However, these features are designed based on
Abstract India being an agriculture country, its economy predominantly depends on agriculture yield growth and agroindustry products. Data Mining is an emerging research field in
ABSTRAT: Frequent Itemset Mining (FIM) is the core of tasks such as association rules and sequential pattern mining. With the increasing amount of data, traditional
ABSTRAT: In this paper, we investigate whether robust hashing has a possibility to robustly detect fake-images even when multiple manipulation techniques such as JPEG compression