A step by step guide for choosing project topics and writing research papers in ICT related disciplines

S Misra - … and Applications: Third International Conference, ICTA …, 2021 - Springer
ICT is fast-growing and changing field. A lot of researches are being done in various area of
ICT, and results are presented in various platforms like conferences, journal and books. This …

A systematic literature review on forensics in cloud, IoT, AI & blockchain

NSG Ganesh, NGM Venkatesh, DVV Prasad - Illumination of Artificial …, 2022 - Springer
In the growing diversified software applications, cybersecurity plays a vital role in preserving
and avoiding the loss of data in terms of money, knowledge, and assets of businesses and …

A Systematic Literature Review on Human Ear Biometrics: Approaches, Algorithms, and Trend in the Last Decade

OG Oyebiyi, A Abayomi-Alli, OT Arogundade, A Qazi… - Information, 2023 - mdpi.com
Biometric technology is fast gaining pace as a veritable developmental tool. So far, biometric
procedures have been predominantly used to ensure identity and ear recognition …

Spotspam: Intention analysis–driven sms spam detection using bert embeddings

C Oswald, SE Simon, A Bhattacharya - ACM Transactions on the Web …, 2022 - dl.acm.org
Short Message Service (SMS) is one of the widely used mobile applications for global
communication for personal and business purposes. Its widespread use for customer …

Spam detection approach for secure mobile message communication using machine learning algorithms

L GuangJun, S Nazir, HU Khan… - Security and …, 2020 - Wiley Online Library
The spam detection is a big issue in mobile message communication due to which mobile
message communication is insecure. In order to tackle this problem, an accurate and …

A discrete hidden Markov model for SMS spam detection

T Xia, X Chen - Applied Sciences, 2020 - mdpi.com
Many machine learning methods have been applied for short messaging service (SMS)
spam detection, including traditional methods such as naïve Bayes (NB), vector space …

Machine intelligence based hybrid classifier for spam detection and sentiment analysis of SMS messages

U Srinivasarao, A Sharaff - Multimedia Tools and Applications, 2023 - Springer
Abstract Short Message Service (SMS) on mobile phones has improved because of
technological advancements and increases in content-based marketing where smart …

A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset

O Abayomi‐Alli, S Misra… - … : Practice and Experience, 2022 - Wiley Online Library
SMS, one of the most popular and fast‐growing GSM value‐added services worldwide, has
attracted unwanted SMS, also known as SMS spam. The effects of SMS spam are significant …

A novel term weighting scheme for text classification: TF-MONO

T Dogan, AK Uysal - Journal of Informetrics, 2020 - Elsevier
The effective representation of the relationship between the documents and their contents is
crucial to increase classification performance of text documents in the text classification …

A weighted feature enhanced Hidden Markov Model for spam SMS filtering

T Xia, X Chen - Neurocomputing, 2021 - Elsevier
Short message service (SMS) is a most favored communication service people use in daily
life. However, this service is being misused by spammers. Rule based systems (RBS) and …