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Publication Date
Sun May 11 2025
Journal Name
Iraqi Statisticians Journal
DOI
10.62933/3e7qvw48
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RxjN2pYBVTCNdQwCO4dW
Semi-Parametric Fuzzy Quantile Regression Model EstimationBased on Proposed Metric via Jensen–Shannon Distance
Fuzzy Metric
Shannon Entropy
Quantile Regression
Semiparametric Estimation
Artificial Intelligence
Elaf Bahaa Alwan
Omar Abdulmohsen Ali
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Publication Date
Thu Jul 02 2026
Journal Name
Innovative Construction And Petrochemical Technologies
Improving Arabic Text Classification Accuracy Using Lightweight NLP Techniques
Arabic natural language processing
Arabic text classification
TF-IDF method
Chi-Square feature selection
linear SVM classifier
Logistic Regression
BiLSTM
AraBERT
efficient NLP models
accuracy and efficiency trade-off
Rasha
Safana
Sarah
Reiam
Rusul
Liqaa
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Arabic text classification is a challenging task because of the complex morphology of the language, the existence of different writing forms and a multitude of dialects, which can result in sparser common text representations. While transformer models such as AraBERT have obtained superior results on many Arabic NLP tasks, their high computational requirements make them difficult to deploy in environments with limited hardware resources. In some cases this can also make the model less practical for researchers working with basic computer systems. This study focuses on a more practical issue: how much accuracy a simple classifier may lose when the amount of required computation is reduced. We use a combined TF-IDF representation based on bo

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Publication Date
Sun Oct 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Under Different Priors &Two Loss Functions To Compare Bayes Estimators With Some of Classical Estimators For the Parameter of Exponential Distribution
التوزيع الآسي
طريقة الإمكان الأعظم
طريقة العزوم
طريقة بيز
متوسط مربع الأخطاء (MSE)
متوسط مربع الأخطاء الموزونة (MWSE).
The Exponential
Maximum likelihood method
Moment estimation method
Bayes method
mean squared errors (MSE)
mean weighted squared errors (MWSE).
Jinan Abbas
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المستخلص:

          في هذا البحث , استعملنا طرائق مختلفة لتقدير معلمة القياس للتوزيع الاسي كمقدر الإمكان الأعظم ومقدر العزوم ومقدر بيز في ستة أنواع مختلفة عندما يكون التوزيع الأولي لمعلمة القياس : توزيع لافي  (Levy) وتوزيع كامبل من النوع الثاني وتوزيع معكوس مربع كاي وتوزيع معكوس كاما وتوزيع غير الملائم (Improper) وتوزيع

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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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