Machine learning approach for detecting and combating bring your own device (BYOD) security threats and attacks: a systematic mapping review

CI Eke, AA Norman, M Mulenga - Artificial Intelligence Review, 2023 - Springer
Bring your own device (BYOD) paradigm that permits employees to come with their own
mobile devices to join the organizational network is rapidly changing the organizational …

Analyzing COVID-19 disinformation on Twitter using the hashtags# scamdemic and# plandemic: retrospective study

HD Lanier, MI Diaz, SN Saleh, CU Lehmann… - PLoS …, 2022 - journals.plos.org
Introduction The use of social media during the COVID-19 pandemic has led to an"
infodemic" of mis-and disinformation with potentially grave consequences. To explore …

Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models

A Alhazmi, R Mahmud, N Idris, ME Mohamed Abo… - Plos one, 2024 - journals.plos.org
Technological developments over the past few decades have changed the way people
communicate, with platforms like social media and blogs becoming vital channels for …

Establishment of correlation model between compositions and dynamic viscoelastic properties of asphalt binder based on machine learning

L Shan, Y Wang, S Liu, X Qi, J Wang - Construction and Building Materials, 2023 - Elsevier
The complex behavior of asphalt binders makes it difficult to accurately predict their dynamic
viscoelastic properties. However, the dynamic viscoelastic properties of asphalt binders are …

C-BDCLSTM: A false emotion recognition model in micro blogs combined Char-CNN with bidirectional dilated convolutional LSTM

Z Hou, Y Du, W Li, J Hu, H Li, X Li, X Chen - Applied Soft Computing, 2022 - Elsevier
In recent years, researchers are enthusiastic about the field of sentiment computing. They
pay attention to normal emotion recognition, but little to abnormal emotion recognition. In …

An Intelligent Error Detection Model For Machine Translation Using Composite Neural Network-based Semantic Perception

Y Wu, Q Liang - IEEE Access, 2024 - ieeexplore.ieee.org
Although machine translation has received great progress in recent years, machine
translation results usually existed some errors due to the complex relationship between …

Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics

AA Almazroi, N Ayub - Plos one, 2024 - journals.plos.org
In the dynamic domain of logistics, effective communication is essential for streamlined
operations. Our innovative solution, the Multi-Labeling Ensemble (MLEn), tackles the …

Malay Sarcasm Detection on Social Media: A Review, Taxonomy, and Future Directions

SH Suhaimi, NAA Bakar… - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
Sarcasm is one of the biggest obstacles in sentiment analysis because sarcastic patterns
typically describe the inverse meaning of a written sentence. It becomes a major …

An automated approach to identify sarcasm in low-resource language

S Khan, I Qasim, W Khan, A Khan, J Ali Khan… - PloS one, 2024 - journals.plos.org
Sarcasm detection has emerged due to its applicability in natural language processing
(NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto …

SINCERE: A Hybrid Framework With Graph-Based Compact Textual Models Using Emotion Classification and Sentiment Analysis for Twitter Sarcasm Detection

A Rodríguez, YL Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sarcasm is an expression of contempt expressed through verbal irony. It is a nuanced form
of language that individuals use to imply the opposite of what they are actually saying, and …