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"Ninja."
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Ninja optimization algorithm based ultra wideband antenna electromagnetic band gap modeling via a generative adversarial network
Ultra-wideband antennas with electromagnetic band-gap (EBG) structures play a crucial role in next-generation wireless and energy-efficient communication systems due to their ability to provide broad spectral coverage, high gain, and reduced interference. This paper presents an intelligent prediction framework that integrates a Generative Adversarial Network (GAN) with the Ninja Optimization Algorithm (NOA) to accurately model and predict the electromagnetic performance of ultra-wideband antenna–EBG configurations. The core innovation of the proposed framework lies in coupling adversarial learning with NOA-based optimization to enhance surrogate modeling accuracy and robustness for antenna–EBG systems. The proposed method is compared with multiple deep learning architectures, including Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network (RNN), and Artificial Neural Network (ANN) models. Experimental results demonstrate that the GAN tuned with the NOA achieves superior predictive accuracy, yielding a mean squared error of
, a root mean squared error of
, and a coefficient of determination of
. The integration of the Ninja Optimization Algorithm significantly enhances learning stability, convergence rate, and generalization performance. The framework also demonstrates competitive robustness when benchmarked against hybrid optimization strategies such as PSO–GAN, BA–GAN, and DE–GAN. Overall, the proposed NOA-enhanced GAN establishes an efficient, scalable, and high-precision modeling pathway for the design and optimization of ultra-wideband antenna EBG structures, contributing to the advancement of intelligent communication and renewable energy systems.
Journal Article
Naruto. Sakura's story : Love riding the spring breeze
The Great Ninja War did not only harm adults, but left many damaged children behind. Medical ninja Sakura travels the land, opening clinics dedicated to healing children of the mental trauma they experienced. She learns of a series of attacks against Konoha, and her investigation leads to an impossible conclusion: Sasuke is the terrorist mastermind behind them all! Using her skills and her heart, Sakura strives to clear Sasuke's name and bring the real perpetrator to justice.
BOOK
Mutant Ninja Kaplumbağalar’ın Göstergebilimsel Analizi
Her şey bir göstergedir. Kullandığımız sözcükler, yazdığımız metinler, izlediğimiz film ya da diziler, fotoğraflar veya sosyal medyada kullanılan her bir içeriği ‘gösterge’ olarak değerlendirebiliriz. Bu göstergeler bir temsil olarak bize sürekli bir şeyler söylemektedirler. Bu açıdan düşünüldüğünde çocuklar için hazırlanan çizgi filmlerin de bir gösterge olması kaçınılmazdır. Bundan yola çıkarak, otuz yılı aşkın süredir tüm dünyada gerek televizyonda gerekse sinemalarda güncelliğini kaybetmeden yayınlanan ‘Mutant Ninja Kaplumbağalar’ (Teenage Mutant Ninja Turtles) adlı çizgi filmin de göstergeleri olabileceği düşünülmüştür. Bu nedenle çalışmanın amacı, ‘Mutant Ninja Kaplumbağalar’ adlı çizgi film ve animasyonların nasıl bir anlatısı olduğunu, bu anlatıdaki temsillerin, çizgi film ve animasyonlarda yer alan karakterler ve adları, karakterlerin kullandığı silahlar, yedikleri yiyecekler, giysileri, kullandıkları renkler ve mekanlar aracılığıyla çözümlemektir. Ayrıca, genel olarak Mutant Ninja Kaplumbağalar’da ele alınan konunun neyi temsil ettiği ilgili karakterler aracılığıyla analiz edilmiştir. Çalışmada, göstergebilimsel olarak incelenen her bir göstergenin de belirli kültürel anlamla üretildiği görülmüştür. Rönesans’tan günümüze kadar gelen kültürel miras belirli bir topluma ait kültürü yansıtmaktadır. Dolayısıyla kitle iletişim araçları ile yayılan kültür, kendisinden farklı kültürleri etkisine alabilmektedir. Everything is a sign. We can consider the words we use, the texts we write, the movies or TV series we watch, photos or any content used in social media as a 'sign'. These signs are constantly telling us something as a representation. When considered from this point of view, it is inevitable that cartoons prepared for children will also be an sign. Based on this, it has been thought that the cartoon called 'Teenage Mutant Ninja Turtles', which has been broadcast all over the world for more than thirty years, both on television and in cinemas without losing its currency, may also be signs. For this reason, the aim of the study is to analyze the narrative of the cartoons and animations called 'Teenage Mutant Ninja Turtles' through the representations in this narrative, the characters and their names in the cartoons and animations, the weapons used by the characters, the food they eat, their clothes, the colors and places they use. In addition, what the subject discussed in Mutant Ninja Turtles in general represents was analyzed through the relevant characters. In the study, it has been seen that each sign examined semiotically is produced with a certain cultural meaning. The cultural heritage from the Renaissance to the present reflects the culture of a particular society. Therefore, the culture spread by mass media can influence different cultures from itself.
Journal Article
Jack B. Ninja
Inspired by the classic nursery rhyme, Jack employs his marital arts training to complete a secret mission that ends with a surpise.
Book
Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm
This paper provides a novel approach to estimating CO₂ emissions with high precision using machine learning based on DPRNNs with NiOA. The data preparation used in the present methodology involves sophisticated stages such as Principal Component Analysis (PCA) as well as Blind Source Separation (BSS) to reduce noise as well as to improve feature selection. This purified input dataset is used in the DPRNNs model, where both short and long-term temporal dependencies in the data are captured well. NiOA is utilized to tune those parameters; as a result, the prediction accuracy is quite spectacular. Experimental results also demonstrate that the proposed NiOA-DPRNNs framework gets the highest value of R
2
(0.9736), lowest error rates and fitness values than other existing models and optimization methods. From the Wilcoxon and ANOVA analyses, one can approve the specificity and consistency of the findings. Liebert and Ruple firmly rethink this rather simple output as a robust theoretic and empirical framework for evaluating and projecting CO
2
emissions; they also view it as a helpful guide for policymakers fighting global warming. Further study can build up this theory to include other greenhouse gases and create methods enabling instantaneous tracking for sophisticated and responsive approaches.
Journal Article
Ninjas united!
\"Journey beneath the streets of New York City to meet Raphael, Leonardo, Donatello, Michelangelo, and the evildoers they battle.\"--Amazon website.
Book
Modulation of Arabidopsis root growth by specialized triterpenes
• Plant roots are specialized belowground organs that spatiotemporally shape their development in function of varying soil conditions. This root plasticity relies on intricate molecular networks driven by phytohormones, such as auxin and jasmonate (JA). Loss-of-function of the NOVEL INTERACTOR OF JAZ (NINJA), a core component of the JA signaling pathway, leads to enhanced triterpene biosynthesis, in particular of the thalianol gene cluster, in Arabidopsis thaliana roots.
• We have investigated the biological role of thalianol and its derivatives by focusing on Thalianol Synthase (THAS) and Thalianol Acyltransferase 2 (THAA2), two thalianol cluster genes that are upregulated in the roots of ninja mutant plants. THAS and THAA2 activity was investigated in yeast, and metabolite and phenotype profiling of thas and thaa2 loss-of-function plants was carried out.
• THAA2 was shown to be responsible for the acetylation of thalianol and its derivatives, both in yeast and in planta. In addition, THAS and THAA2 activity was shown to modulate root development.
• Our results indicate that the thalianol pathway is not only controlled by phytohormonal cues, but also may modulate phytohormonal action itself, thereby affecting root development and interaction with the environment.
Journal Article
Naruto the movie
Follow the adventures of Naruto and his companion ninjas, as easy assignments turn into challenging quests.
BOOK
Enhancing green hydrogen forecasting with a spatio-temporal graph convolutional network optimized by the Ninja algorithm
In light of increased international efforts to combat climate change, sustainable infrastructure is shifting toward green hydrogen produced through renewable-powered electrolysis. Still, it is challenging to forecast the production of green hydrogen because environmental and system factors are variable both in time and space. We introduce a new system that utilizes a Spatio-Temporal Graph Convolutional Network (STGCN) and a novel algorithm, the Ninja Optimization Algorithm (NiOA), to address this issue. Using the framework, binary NiOA performs feature selection, while continuous NiOA optimizes both the model architecture and the number of variables in the data simultaneously. It is clear from the research that forecasting results have shown significant improvement. The STGCN model achieved an R
2
of 0.8769 and an MSE of 0.00375, whereas the STGCN with NiOA reached an R
2
of 0.9815 and an MSE of only
. Due to these improvements, adaptive metaheuristics show even greater promise in delivering more accurate forecasting and reduced computational requirements for addressing critical environmental issues. The suggested strategy can be followed repeatedly, providing a solid framework for the effective modeling of renewable energy systems and making green hydrogen projects more dependable.
Journal Article