Operations research and analytics to combat human trafficking: A systematic review of academic literature
Human trafficking is a widespread and compound social, economic, and human rights issue
occurring in every region of the world. While there have been an increasing number of anti …
occurring in every region of the world. While there have been an increasing number of anti …
[PDF][PDF] Deep-BERT: Transfer Learning for Classifying Multilingual Offensive Texts on Social Media.
Offensive messages on social media, have recently been frequently used to harass and
criticize people. In recent studies, many promising algorithms have been developed to …
criticize people. In recent studies, many promising algorithms have been developed to …
L-boost: Identifying offensive texts from social media post in bengali
Due to the significant increase in Internet activity since the COVID-19 epidemic, many
informal, unstructured, offensive, and even misspelled textual content has been used for …
informal, unstructured, offensive, and even misspelled textual content has been used for …
Human trafficking in social networks: A review of machine learning techniques
M Bermeo, S Escobar, E Cuenca - Conference on Information and …, 2023 - Springer
Human trafficking is a severe problem worldwide and social media platforms have emerged
as a potential tool to detect and prevent this crime. Machine learning (ML) algorithms have …
as a potential tool to detect and prevent this crime. Machine learning (ML) algorithms have …
Ethical tensions in applications of ai for addressing human trafficking: A human rights perspective
In the last two decades, human trafficking (where individuals are forcibly exploited for the
profits of another) has seen increased attention from the artificial intelligence (AI) community …
profits of another) has seen increased attention from the artificial intelligence (AI) community …
Hardware characterization of integer-net based seizure detection models on fpga
SR Soujanya, M Rao - … Multicore/Many-core Systems-on-Chip …, 2022 - ieeexplore.ieee.org
Deployment of deep neural network (DNN) infer-ence on platforms like field programmable
gate array (FPGA) for acceleration can be challenging because of the limited resource …
gate array (FPGA) for acceleration can be challenging because of the limited resource …
La trata de personas en Twitter: Finalidades, actores y temas en la escena hispanohablante
A Sierra-Rodríguez, W Arroyo Machado… - 2022 - digibug.ugr.es
La trata de personas es un fenómeno vinculado a diferentes finalidades de explotación,
como la sexual, laboral, para el matrimonio, la mendicidad, la comisión de delitos o la …
como la sexual, laboral, para el matrimonio, la mendicidad, la comisión de delitos o la …
Ai-crime hunter: An AI mixture of experts for crime discovery on twitter
Maintaining a healthy cyber society is a great challenge due to the users' freedom of
expression and behavior. This can be solved by monitoring and analyzing the users' …
expression and behavior. This can be solved by monitoring and analyzing the users' …
Illegal Online Gambling Site Detection using Multiple Resource-Oriented Machine Learning
The COVID-19 pandemic has led to faster digitalization and illegal online gambling has
become popular. As illegal online gambling brings not only financial threats but also …
become popular. As illegal online gambling brings not only financial threats but also …
A Multi-Input Machine Learning Approach to Classifying Sex Trafficking from Online Escort Advertisements
L Summers, AN Shallenberger, J Cruz… - Machine Learning and …, 2023 - mdpi.com
Sex trafficking victims are often advertised through online escort sites. These ads can be
publicly accessed, but law enforcement lacks the resources to comb through hundreds of …
publicly accessed, but law enforcement lacks the resources to comb through hundreds of …