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 …
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
With the support of advanced hardware and software technology, Artificial Intelligence (AI)
techniques, especially the increasing number of deep learning algorithms, have spawned …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
spread on social media. Opinion data processing is called sentiment analysis. In processing …
Review and visualization of Facebook's FastText pretrained word vector model
One of the most popular machine learning methods for processing natural language is
Word2Vec. Like several other machine learning methods, there are some concerns …
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 …
The potential for improving outcomes and processes in education is high but differs for …