Results 121 to 130 of about 2,863,518 (175)

Detecting Bengali Spam SMS Using Recurrent Neural Network

Journal of Communications, 2020
Md. Mohsin Uddin, Monica Yasmin, M. Saddam Hossain Khan, Md Istianatur Rahman, Tabassum Islam   +4 more
openaire   +1 more source

TreeHelper: A Wood Transport Authorization and Monitoring System. [PDF]

Sensors (Basel)
Zvîncă AM, Petruc SI, Bogdan R, Marcu M, Popa M.   +4 more
europepmc   +1 more source

Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques.

Comput Intell Neurosci, 2022
Rodrigues AP, Fernandes R, A A, B A, Shetty A, K A, Lakshmanna K, Shafi RM.   +7 more
europepmc   +1 more source

Effects of small airtime rewards linked to unsolicited text messages on uptake of a tuberculosis self-screening app in South Africa: a randomised trial. [PDF]

BMJ Open
Rich K, Burger R, Boulle A, Goldberg D, Gqada N, Hynek JP, Loff A, Naidoo P, Nair D, von Delft A, Rieger M.   +10 more
europepmc   +1 more source

Using an SMS to improve bowel cancer screening: the acceptability and feasibility of a multifaceted intervention. [PDF]

Fam Pract
McIntosh JG, Wood A, Jenkins M, Onwuka S, Chondros P, Campbell T, Wenkart E, O'Reilly C, Dixon I, Toner J, Martinez Gutierrez J, Govan L, Emery JD.   +12 more
europepmc   +1 more source

The WeDDa framework for preventing smishing and vishing using protocol agnostic cryptographic trust. [PDF]

Sci Rep
Salem MFM, Hamad EKI, El-Bendary MAM.
europepmc   +1 more source

An enhanced algorithm for semantic-based feature reduction in spam filtering. [PDF]

PeerJ Comput Sci
Novo-Lourés M, Pavón R, Laza R, Méndez JR, Ruano-Ordás D.   +4 more
europepmc   +1 more source

Enhancing precision agriculture through cloud based transformative crop recommendation model. [PDF]

Sci Rep
Singh G, Sharma S.
europepmc   +1 more source

Cacography based Ransomware Email Phishing Attack Prevention using Language Pack Tuned Transformer Language Model. [PDF]

Sci Rep
Abiramasundari S, Ramaswamy V.
europepmc   +1 more source

GDFGAT: Graph attention network based on feature difference weight assignment for telecom fraud detection. [PDF]

PLoS One
Tong A, Chen B, Wang Z, Gao J, Lam CK.
europepmc   +1 more source