A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
(70)
(51)
Publication Date
Fri Mar 04 2022
Journal Name
Pakistan Journal Of Medical And Health Science
Publication Date
Tue Apr 01 2025
Journal Name
Iop Conference Series: Earth And Environmental Science
Molecular Detection and Antiserum Preparation of Begomoviruses Infecting Zucchini Squash in Iraq
Abstract<p>Begomoviruses infecting zucchini squash were investigated. Leaf samples were collected from zucchini squash growing areas in Baghdad (Jhadryaa and Yusufiyah), Babylon (Jibela and Mahmudiyah) and Diyala (Khan Bani Saad) Provinces. Samples were screened for the presence of begomoviruses using polymerase chain reaction (PCR) and Deng genus specific primers. Sixteen out of 40 samples were begomovirus positive. Sequence analysis confirmed the detection of Tomato leaf curl Palampur virus (TLCPALV) <italic>Begomovirus solanumpalampurense</italic>, Squash leaf curl virus (SLCuV) <italic>B. cucurbitapeponis</italic> and Tomato yellow leaf curl virus (TYLCV) <italic>B. </italic></p>
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Publication Date
Sun Jan 01 2023
Journal Name
مجلة الأطروحة العلمية المحكمة-العلوم الصرفة والتطبيقية
Detection of Lead (Pb) and
Cadmium (Cd) Concentrations
in Some Indomie Samples
Andomie product
Lead
Cadmium
heavy metals
Atomic Absorption spectrometer
Publication Date
Wed Sep 22 2021
Journal Name
Samarra Journal Of Pure And Applied Science
Toward Constructing a Balanced Intrusion Detection Dataset
Several Intrusion Detection Systems (IDS) have been proposed in the current decade. Most datasets which associate with intrusion detection dataset suffer from an imbalance class problem. This problem limits the performance of classifier for minority classes. This paper has presented a novel class imbalance processing technology for large scale multiclass dataset, referred to as BMCD. Our algorithm is based on adapting the Synthetic Minority Over-Sampling Technique (SMOTE) with multiclass dataset to improve the detection rate of minority classes while ensuring efficiency. In this work we have been combined five individual CICIDS2017 dataset to create one multiclass dataset which contains several types of attacks. To prove the eff
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(10)
Publication Date
Tue Jan 01 2019
Journal Name
Indian Journal Of Public Health Research & Development
(4)
(2)
Publication Date
Fri Feb 27 2026
Journal Name
Iklīl For Humanities Studies
Publication Date
Fri Apr 15 2016
Journal Name
Research Journal Of Applied Sciences, Engineering And Technology
Publication Date
Wed Oct 05 2016
Journal Name
Al-academy
Modern technology and the possibility of their use for the development of the domestic copper industry
Industries copper a craft that requires precision and patience great in the processes of industrialization and execution of product launches brass designs and a variety of forms , and the goal of research into the possibility of the use of modern technologies in the development of industries copper local , and identifies research study models of industries copper local to the city of Baghdad , and are available in the markets for the period from (200 - 2011) , Chapter II Multi industries copper local and technical in the copper industry , and after analysis models the sample was the most important conclusions : can work forms a multi- product copper formations deep or window using the technique work motifs and patterns. - formations deco
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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.
Publication Date
Fri Jan 01 2016
Journal Name
Iraqi J. Sci., Special Issue, Part B
Complex Dynamics in incoherent source with ac-coupled optoelectronic Feedback
The appearance of Mixed Mode Oscillations (MMOs) and chaotic spiking in a Light Emitting Diode (LED) with optoelectronic feedback theoretically and experimentally have been reported. The transition between periodic and chaotic mixed-mode states has been investigated by varying feedback strength. In incoherent semiconductor chaotically spiking attractors with optoelectronic feedback have been observed to be the result of canard phenomena in three-dimensional phase space (incomplete homoclinic scenarios).