An exponential increase in the data generation resources is widely observed in last decade,
because of evolution in technologies such as-cloud computing, IoT, social networking, etc …

Bloom filter encoding has widely been used as an efficient masking technique for privacy-
preserving matching functions. The existing matching techniques, however, are limited to …

Exact string matching algorithms involve finding all occurrences of a pattern P in a text T.
These algorithms have been extensively studied in computer science, primarily because of …

Pathology reports are necessary for specialists to make an appropriate diagnosis of
diseases in general and blood diseases in particular. Therefore, specialists check blood …

The rapid rise of data value, such as social media and mobile applications, results in large
volumes of data, which is what the term “big data” refers to. The increased rate of data …

AI and GPU technologies have been widely applied to solve Big Data problems. The total
data volume worldwide reaches 200 zettabytes in 2022. How to efficiently index the required …

Zigbee IoT devices have limited computational resources, including processing power and
memory capacity. Therefore, because of their complicated computational requirements …

Cancer is a deadly disease with actual cause still being an unknown mystery. Classifying
the different kinds of tumors is rather essential for diagnosing cancer and discovering new …

In recent years, a massive amount of genomic DNA sequences are being created which
leads to the development of new storing and archiving methods. There is a major challenge …

The importance of string matching is due to its applications in many fields, such as medicine
and bioinformatics. Various string matching algorithms are developed to speed up the …