Ddosnet: A deep-learning model for detecting network attacks

MS Elsayed, NA Le-Khac, S Dev… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent
years to address the weaknesses in traditional networks. The significant feature of the SDN …

[HTML][HTML] Business chatbots with deep learning technologies: State-of-the-art, taxonomies, and future research directions

Y Zhang, RYK Lau, J David Xu, Y Rao, Y Li - Artificial Intelligence Review, 2024 - Springer
With the support of advanced hardware and software technology, Artificial Intelligence (AI)
techniques, especially the increasing number of deep learning algorithms, have spawned …

MTHAEL: Cross-architecture IoT malware detection based on neural network advanced ensemble learning

D Vasan, M Alazab, S Venkatraman… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The complexity, sophistication, and impact of malware evolve with industrial revolution and
technology advancements. This article discusses and proposes a robust cross-architecture …

Robust adversarial attacks detection based on explainable deep reinforcement learning for uav guidance and planning

T Hickling, N Aouf, P Spencer - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The dangers of adversarial attacks on Uncrewed Aerial Vehicle (UAV) agents operating in
public are increasing. Adopting AI-based techniques and, more specifically, Deep Learning …

Depression detection from social media text analysis using natural language processing techniques and hybrid deep learning model

V Tejaswini, K Sathya Babu, B Sahoo - ACM Transactions on Asian and …, 2024 - dl.acm.org
Depression is a kind of emotion that negatively impacts people's daily lives. The number of
people suffering from long-term feelings is increasing every year across the globe …

Are fake images bothering you on social network? Let us detect them using recurrent neural network

P Kar, Z Xue, SP Ardakani… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nowadays, social media platforms play a significant role in real-world events, which can
cause both positive and negative effects. The popularity of image-based content on social …

[HTML][HTML] Synthesized feature learning model on news aggregator for chatbot

P Verma, K Jyoti, V Sahni, SJA Ibrahim… - Soft Computing, 2023 - Springer
The introduction of Deep learning over Shallow Learning has powered machines in the
current era. The Conversational Software Agent (often referred to as a Chatbot) employs …

Perbandingan Model Deep Learning untuk Klasifikasi Sentiment Analysis dengan Teknik Natural Languange Processing

FP Rachman, H Santoso - Jurnal Teknologi dan Manajemen …, 2021 - jurnal.unmer.ac.id
Everyone has an opinion or opinion on a product, public figure, or government policy that is
spread on social media. Opinion data processing is called sentiment analysis. In processing …

Review and visualization of Facebook's FastText pretrained word vector model

JC Young, A Rusli - 2019 international conference on …, 2019 - ieeexplore.ieee.org
One of the most popular machine learning methods for processing natural language is
Word2Vec. Like several other machine learning methods, there are some concerns …

Potentials of chatbot technologies for higher education: A systematic review

S Ullmann, M Schoop - 2022 - aisel.aisnet.org
Chatbots are used in different areas such as customer service, healthcare and education.
The potential for improving outcomes and processes in education is high but differs for …