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80 articles for “neuron”
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Medical Applications of Artificial Neural Network
Abstract: The correspondence between the natural neurons and artificial neurons is defined in this paper. Thus, an excellent idea appears to design the standard diagnosis key diagnosis systems, which security is based on the well known number theoretic problem, i.e. elliptic curve discrete logarithm problem in multiplicative group of the finite field. But now we are moving in the revolutionary idea, “The Automatic groups G converted into the multiplicative groups G’ …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 23–30 Read article
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Multiple Sclerosis: A Systematic Review of a Neurological Disorder
Abstract: The inflammatory illness known as multiple sclerosis (MS) is brought on by outside influences that affect a biologically vulnerable host. It has 3 separate diagnostic phases: the pre-clinical phase, which can only be discovered by MRI; the relapsing-remitting (RRMS) phase, which again is defined by bouts of neurological malfunction accompanied by remission; and the progressing phase, which often develops from either the relapse phase. Unfortunately, the majority of relapse MS …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 1, 2023 · pp. 53–71 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Applications of Artificial Neural Network in Construction Engineering and Management: An Academic Literature Review and Direction for Future Research
Abstract: One of the artificial intelligence topics is artificial neural network in whichdata processing system is the idea of the human brain.The cause of processing data is many processorsthat treat in parallel form in order to solve the problem.The applications of artificial neural network with neuron model and different network architecture can be used to estimate, predict and modelling of complex problems in construction management. In order to bridge the gap …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 24–38 Read article
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Improvement of Motor and Sensory–Motor Behaviors after the Human Amniotic Epithelial Cells Transplantation in 6-OHDA Lesioned Corpus Striatum of Wistar Albino Rats
Abstract: Deficits in apomorphine-induced rotation and rotarod in rat have been proposed as a nondrug-induced model of the akinesia associated with the Parkinson’s disease. In the present study, we examined the disabilities in the rotarod and apomorphine-induced rotations have been observed after the 6-hydroxydopamine-induced denervation in the striatum. These impaired activities have reversed after the Human Amniotic Epithelial (HAE) cells transplantation during long-term observation. The neuronal densities and diameter were reduced …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 4, Issue 2, 2014 · pp. 34–45 Read article
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Dental Pulp Stem Cells Derived from Wisdom Teeth as Multitarget Biological Modulators of Alzheimer’s and Parkinson’s Disease: Mechanistic Insight and Translational Perspective
Abstract: Alzheimer’s disease and Parkinson’s disease are chronic, progressive neurodegenerative disorders with complex pathogenic pathways such as neuroinflammation, oxidative stress, mitochondrial dysfunction, synaptic degeneration, and reduced neurotrophic signalling. Despite the large amount of research, the pharmacological treatments in use offer only symptomatic relief and cannot significantly prevent or slow down disease progression sufficiently; new pathogenetic treatment strategies are necessary. In recent years, stem cell-based approaches have gained interest as potential therapeutic …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 · pp. 7–28 Read article
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Optical Character Recognition Using Back Propagation Neural Network
Abstract: This paper represents an Artificial Neural Network (ANN)-based approach for the recognition of English characters using feed-forward neural network. Noise has been considered as one of the major issues that degrades the performance of character recognition system. Our feed forward network has one input, one hidden, and one output layer. The entire recognition system is divided into two sections, namely training and recognition section. Both the sections include image acquisition, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 11–18 Read article
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ELECTROENCEPHALOGY (EEG) SIGNALS AND ITS EXPERIMENT DESIGN – A STUDY
Abstract: Human brain is a very complex structure of the whole body which actually contains millions of the neurons which are playing a vital role in controlling and maintaining the behaviour of the human body when we talk about the internal or external sensory stimuli. These neurons actually carry the message from the brain to body and body to brain. It acts as the messenger between the body and the brain. …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 15–19 Read article
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CNN-based Approach for Efficient Bell Pepper Leaf Disease Recognition
Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable results in the detection of diseased plant leaves, providing highly accurate predictions. This project offers a comprehensive examination of existing systems designed for the detection of plant-based diseases. Using CNN trained on a dataset of bell pepper plant images, various simulation approaches for neurons and layers were employed. Plant diseases have significant impacts on agricultural productivity, leading to economic losses, reduced crop quality, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article
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An Insight to Animal Models of Drug Induced Schizophrenia
Abstract: Schizophrenia is a mental disorder that generally shows in early adulthood or late adolescence characterized by hallucinations, delusions, and other cognitive dysfunctions, schizophrenia can often be a lifelong problem. Schizophrenia affects approx. 1% of all adults, universally. The purpose of this article is to review several drug induced schizophrenia animal models. The scientific study of human disorders has required the development of suitable animal models. The prevailing recent view of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 1, 2019 · pp. 21–33 Read article
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Molecular Docking studies of Benzodiazepine Derivatives With GABA(B) Receptor
Abstract: Benzodiazepines (BZDs) are pharmacologically significant compounds that act by binding to GABA A neurotransmitter receptors, subsequently augmenting GABA-induced chloride ion flux, consequently inducing neuronal hyperpolarization. Benzodiazepines are commonly used in the treatment of sleep disorders, anxiety, muscle spasms, seizure disorders, and some forms of depression. The primary inhibitory neurotransmitter, GABA, functions on two types of receptors: the ligand-gated GABA A/C receptors and the G protein-coupled GABA B receptors. These neurotransmitters …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 2, 2024 · pp. 1–14 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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Unraveling the Nexus: Parkinson's Disease, Alpha-synuclein, Desulfovibrio, and the Gut Microbiome
Abstract: Parkinson's disease (PD) is now recognized as a chronic condition which is once considered a highly intricate disorder involving the central, autonomic, and enteric nervous systems. The prevailing perspective attributes the disease by the formation of Lewy bodies, primarily triggered by the misfolding of α-Synuclein, leading to the demise of dopaminergic neurons in the substantia nigra. Constipation, one of the most common non-motor symptoms in PD patients, is believed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 1, 2024 · pp. 18–28 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Exploring the Complexities of Parkinson’s Disease
Abstract: Parkinson’s disease (PD) is a neurological disorder, primarily affecting older adults, marked by both motor and non-motor symptoms. This review explores PD as a multisystem disorder that influences the central, enteric, and autonomic nervous systems, along with the immune system and gastrointestinal tract. Key pathogenic features include the degeneration of dopamine-producing neurons in the substantia nigra and the formation of Lewy bodies containing misfolded α-synuclein proteins. The bradykinesia, tremors, stiffness, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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Non-Enzymatic Glycation in Alzheimer’s and Parkinson’s Disease: A Molecular Approach to Pathology and Recent Advances
Abstract: Non-enzymatic glycation, a biochemical process by which reducing sugars spontaneously bind to proteins, leads to the formation of advanced glycation end-products (AGEs), which have emerged as critical contributors to the pathogenesis of several neurodegenerative diseases, particularly Alzheimer’s disease (AD) and Parkinson’s disease (PD). The accumulation of AGEs can significantly alter protein structure, stability, and function, triggering a cascade of detrimental effects, including increased oxidative stress, heightened neuroinflammation, and the promotion …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 36–41 Read article
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Role of Centella asiatica in Alzheimer’s Disease: A Comprehensive Review
Abstract: Alzheimer's disease (AD) is a progressive neurological illness that causes cognitive decline and memory loss and affects millions of people worldwide. As synthetic medications often prove ineffective or cause severe side effects, natural remedies are gaining attention. This review explores the potential of Centella asiatica, a herb traditionally used in oriental medicine, in the treatment of Alzheimer's disease. Triterpenoids, asiaticoside, and madecassoside are among the bioactive substances found in Centella …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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Rotenone effects on the human body with reference to neurological disorder
Abstract: It has been claimed that the well–known neurotoxic pesticide rotenone, which is known to block the mitochondrial complex I, is strongly linked to the pathophysiology and etiology of Parkinson's disease (PD) in humans. There have been numerous analyses in the past and are still being conducted to establish a relationship between the two in order to completely comprehend the level of harm brought on by rotenone. Numerous laboratory studies shown …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 21–27 Read article
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Rosemary: A Natural Way to Improve Brain Health and Cognitive Function
Abstract: Cognitive decline is a common consequence of aging, often leading to diminished quality of life. Although conventional drug treatments, such as anticholinesterase inhibitors, are available for managing cognitive decline, they are not always effective in older adults and may even induce adverse effects. As a result, there has been growing interest in natural alternatives, particularly traditional herbal medicines, for their potential cognitive-enhancing properties. Among these, Rosmarinus officinalis (Rosemary) has gained …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 30–36 Read article