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119 results for “Neuron”
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Research ArticleOpen accessIn the keywordsAccurate Wavelet Neural Network for Efficient Controlling of an Active Magnetic Bearing SystemYoussef Harkouss, Souhad Mcheik, Roger AchkarProblem statement: The synthesis of a command by the neural network has an excellent advantage over the classical one such as PID. This study presented a fast and accurate Wavelet Neural Network (WNN) approach for efficient controlling of an Active Magnetic Bearing (AMB) system. Approach: The proposed approach combined neural network with the wavelet theory. Wavelet theory may be exploited … …Journal of Computer Science, Vol. 6, Issue 12 · 9 Nov 2010 · 15,569 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Dietary Emamectin Benzoate at Recommended and Overdose Levels on the Pathophysiological Responses and Tolerability of Oreochromis niloticus at Fry StageJasmine Singha, Thangapalam Jawahar Abraham, Satyen Kumar Panda, Prasanna Kumar PatilEmamectin Benzoate (EB) has been recommended as a feed additive for the control of fish ectoparasites. This investigation examined the impact of dietary EB on physiological responses, antioxidant defence mechanisms, and histopathological changes in key organs, and on the kinetics of residue deposition and elimination in the muscle of Oreochromis niloticus fry. Fry were administered EB feeds at 50 µg … …American Journal of Pharmacology and Toxicology, Vol. 20, Issue 1 · 1 Jul 2026 · 1,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Vertical Stacking-Based Ensemble Deep Learning Model for Early Diagnosis of Alzheimer's Disease Using Multimodal MRI ScansParvatham Niranjan Kumar, Lakshmana Phaneendra MaguluriEarly detection of Alzheimer's Disease (AD) is crucial for timely interventions that can slow disease progression, enhance quality of life, and assist with future planning. Convolutional Neural Networks (CNNs) are an efficient method for processing image-based data. In this work, we used CNN-based deep learning models to extract structural information from structural MRI (sMRI) and brain neuron connectivity patterns from … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 3,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoftware Development Effort Estimation Using Relational Database and Optimized Learning MechanismRavi Kumar B. N., Yeresime SureshAccurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional cost estimation methods rely heavily on expert judgment and historical data, which can be time consuming and prone to errors. This study suggests a learning-based cost estimation model that leverages relational databases to improve accuracy. The proposed approach estimates project cost based … …Journal of Computer Science, Vol. 19, Issue 4 · 7 Apr 2023 · 6,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractCarica papaya Fruit Attenuates Apoptotic Degeneration After Permanent Cerebral Ischemia RatPratchaya KaewkaenApoptotic neurodegeneration is a phenomenon following cerebral ischemia. Both the increased caspase-3 and decreased Bcl-2 expression are reported to play crucial role on apoptosis in neuron. In addition, phytonutrient can successfully increase the endogenous antioxidant and lower the apoptotic responses. Therefore, anti-apoptotic effect of Carica papaya fruits was examined. To the best of our knowledge, no scientific effect was available. … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 4 · 22 Nov 2018 · 9,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractProduction and Characterization of Exopolysaccharide from Novel Bacillus sp. M3 and Evaluation on Development Sub-Chronic Aluminum Toxicity Induced Alzheimer’s Disease in Male RatsMohsen M.S. Asker, Abeer Y. Ibrahim, Manal G. Mahmoud, Saher S. MohamedThe number of patients suffering from Alzheimer’s Disease (AD) all over the world is rising continually and becomes one of the biggest challenges for most societies throughout the world. The potential of peripheral biochemical markers as complementary tools in the neuron-phsychiatric evaluation of these patients has claimed further attention. The aims of our study were to isolate the bacteria that … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 2 · 31 May 2015 · 7,216 accessesView PDFCite
EditorialOpen accessIn the abstractAMYOTROPHIC LATERAL SCLEROSIS: HOW TO UNDERSTAND SUCH DIVERSE AND SO ENTANGLED PHYSIOPATHOLOGY?Carlos Henrique Melo Reis, Marco Orsini, Marco Antônio Araujo Leite et al.When in 1865, JeanMartin Charcotreported patients with progressive muscular atrophysuperimposedwith spasticity of inexorable evolution as result of combinedlesions of the anterior horn and lateral column of the spinal cord, hecertainly inaugurated an attempt on the comprehension of one of the mostcomplexes neurological clinical conditions, which until today persists withimmense voids on their comprehension, regardless of the enormous advancesachieved. Astime went … …Current Research in Medicine, Vol. 5, Issue 2 · 16 Feb 2015 · 7,149 accessesView PDFCite
EditorialOpen accessIn the abstractNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractWEEDS IDENTIFICATION USING EVOLUTIONARY ARTIFICIAL INTELLIGENCE ALGORITHMAhmed M. Tobal, Sahar A. MokhtarIn a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. Weeds represent 34% of the whole pests while … …Journal of Computer Science, Vol. 10, Issue 8 · 4 Mar 2014 · 7,823 accessesView PDFCite