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Publication Date
Fri Sep 23 2022
Journal Name
Specialusis Ugdymas
Volume
1
Issue Number
43
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22
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Intrusion Detection System Techniques A Review
Anomaly
Artificial neural networks
Bio-inspired computing
Intrusion detection
Misuse
Omar Fitian Rashid
Noor Thamer Mahmood
Zahraa A. H. Alobaidy
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With the high usage of computers and networks in the current time, the amount of security threats is increased. The study of intrusion detection systems (IDS) has received much attention throughout the computer science field. The main objective of this study is to examine the existing literature on various approaches for Intrusion Detection. This paper presents an overview of different intrusion detection systems and a detailed analysis of multiple techniques for these systems, including their advantages and disadvantages. These techniques include artificial neural networks, bio-inspired computing, evolutionary techniques, machine learning, and pattern recognition.

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AI-supported · · journalism ·· Dialogue of civilizations · · Artificial · · intelligence Cultural understanding Peaceful coexistence Media technologies Audience engagement Civilizational dialogue · Cross-cultural communication Mutual respect
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Mixing this strategy with a qualitative research design and an idea known as AI-supported journalism, the paper is going to approach the requirements of how AI technologies may transform journalism content and culture in a way beyond what one anticipates; therefore, enabling more of it to reach an audience. The current research used descriptive research design to investigate the potential applications of the AI tools that mediate civilizational conversation and a structured questionnaire to media professionals. AI-driven journalism can promote peaceful cohabitation and mutual respect and thus act as a bridge between cultures, the research said. The piece even goes on to mention the need for media establishments and civil soc

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Crossref
Publication Date
Sun Jan 10 2016
Journal Name
British Journal Of Applied Science & Technology
The Effect of Classification Methods on Facial Emotion Recognition ‎Accuracy
Facial emotions
feature selection
data clustering
modified K-Means clustering algorithm
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Neural Network
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Suhaila N.
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The interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm

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Crossref (2)
Crossref
Publication Date
Sat May 31 2025
Journal Name
3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges
Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies
With the advent of technology
the fear of losing control has consistently accompanied humanity. While humans have discovered
invented
and created many remarkable things
they have also been haunted by the possibility of their creations turning against them. This fear
often referred to as the Frankenstein Complex
derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)
in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works
including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI
which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson
a robotics expert
uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots
the concept of the New War
how it was fought
and how it concluded. By comparing
contrasting
and analyzing literary elements and devices with prominent conspiracy theories
the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth
they often inspire scientists to explore them further. Additionally
some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.
Ansam
Mayada
Zahraa
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