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68 articles for “human brains”
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Perturbed Quantum Computation of the Non-linear Dynamical System in Terms of Bose-Mesner Algebra Using N-Coupled Maps
Abstract: AbstractThe author has considered the non-linear dynamical system comprising of brain, heart, kidney, physiological processes, thinking mechanism and immune system. The components of the dynamical system are interconnected with each other. In the present work he has discussed the perturbation in the non-linear dynamical system due to intense BIS processes. The BIS processes occurring in the surroundings constantly affect our neural network bringing about sudden changes in nervous system. The …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 27–42 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Enhancing Image Classification Performance with Deep Neural Networks
Abstract: Classifying images is useful in many domains, including the study of plant diseases and the analysis of human expressions. Image categorization employing the idea of a “deep neural network” helps to compact otherwise cumbersome photos. It is possible to classify images by using the idea of a “deep neural network”. Self-driving cars, medical diagnosis, automatic translation, etc., all make use of Deep Neural Networks. Recently, excellent results have been achieved …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 13–23 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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Magnetic ZnxFe2–xO3 Nanoparticles Enhanced Nanobiosensor Integrated with MOSFETs for Efficient Detections of Biomolecules and Cancerous Cells
Abstract: The human brain is mostly responsible for intelligence and consciousness. An artificial equivalence of this action is nanobiosensor, which is used in artificial intelligence. The need for nanodiagnostics platforms for detecting diseases at the genetic, molecular, and cellular level has triggered the development of nanobiosensors integrated with MOSFETs. This device enables simple, inexpensive rapid tests, accurate imaging methods, and accurate molecular diagnosis at point-of-care (POC). This device is seen as …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 33–44 Read article
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Exploring Technologies for Extractive Text Summarization: A Review of Transformer and Reinforcement Learning Models
Abstract: In recent years, the size of information on the Internet has increased exponentially. Therefore, a solution is needed to transform large amounts of raw data into useful information the human brain can understand. Automatic Text Summarization (ATS) is a part of Natural Language Processing (NLP) that aims to take long texts and shorten them, keeping the most important information in a clear and easy-to-understand way. This research report explores methods …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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Design And Analysis On Operation Of Hybrid Micro Grid Using Artificial Intelligence
Abstract: Artificial intelligence approaches may be used to make engineering problems in a manner comparable to that of the human brain. Smart grid aims include greater integration of dispersed generation, grid stability, dependable power supply, and generation and supply stability. Using Artificial Intelligence methods, the objectives are realized. For microgrid energy management, there are several issues that contribute to its difficulties, including a dearth of inertia required for system stability, unpredictability …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 16–24 Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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The “March of Progress”: From Cosmic Singularity to Digital Singularity
Abstract: In 1964, Nikolai Kardashev proposed the Kardashev scale, a system for measuring the extent of technological advancement of a civilization based on the magnitude of energy consumption. According to Carl Sagan, the American astrophysicist, we are approaching an inevitable type-1 Kardashev civilized existence. An artificial superintelligence superior to that of humans can concur with a higher-hierarchy Kardashev civilization. Futuristic technological innovations mandate an acceleration in artificial intelligence and superintelligence. This …
Published in Current Trends in Information Technology · Vol. 10, Issue 1, 2020 · pp. 1–8 Read article
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A Descriptive Study to Identify the Factors Leading to Brain Drain Among Nurses Working in a Selected Private Hospital at Kunnumkulam, Thrissur District
Abstract: Introduction: Brain drain, also known as human capital flight, refers to the emigration of skilled and talented individuals to foreign nations or regions. This situation arises when people who pursue education abroad opt not to return to their home country but instead choose to establish themselves there. Additionally, individuals who study in their local area may move to foreign countries in search of increased income and improved prospects. Kerala has …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 3, 2023 · pp. 26–32 Read article
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Nutritional Status, Bioactive Properties & Therapeutic Efficacy of Omega-3 Polyunsaturated Fatty Acids Obtained by Green Synthetic Routes
Abstract: Polyunsaturated fatty acids (PUFAs), particularly omega-3 (n-3) fatty acids like eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are crucial for human health. They support structural brain development, visual acuity, and cardiovascular function, while also exhibiting potent anti-inflammatory, antioxidant, and antimicrobial properties. Historically, marine fish oil has been the primary dietary source of these essential fatty acids. However, escalating concerns regarding ecological environmental impacts, the oceanic bioaccumulation of heavy metal contaminants, …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 · pp. 47–65 Read article
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A Review on Phytochemical and Pharmacological Properties of Anacyclus Pyrethrum (Akarkara)
Abstract: The wild species Anacyclus pyrethrum, or A. pyrethrum, is a member of the Asteraceae family. It is commonly known as Akarkara. It originated in Spain, Morocco, and Algeria, and has since spread to Sri Lanka, India, Ukraine, Germany, Myanmar, France, and Poland. It is the benefits of bioactive compounds of plant found the chemical makeup, analgesic, anti-inflammatory, and wound-healing effects of hydroalcoholic extracts of A. pyrethrum’s roots, seeds, leaves, and …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 102–110 Read article
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Study on Neuralink Chip: Brain–Computer Interface
Abstract: Neuralink, established by Elon Musk in 2016, is a neurotechnology firm focused on creating advanced brain-machine interfaces (BMIs) with enhanced data transfer capabilities. These interfaces aim to enable individuals to communicate more effectively and gain a deeper understanding of interactions with computers and other devices. One of the company's best experiences is the development of a new implantable device called the Neuralink chip. The Neuralink chip is a small device …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 43–48 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Steady State Visual Evoked Potential Based Brain Computer Interface System
Abstract: The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 35–43 Read article
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Stem Cell Therapy for Parkinson's Disease: Past, Present and Future
Abstract: Parkinson’s disease (PD) is one of the most common chronic progressive nervous system disorders of aging. Cell degeneration and death of dopamine neurons (DA neurons) in the substantial nigra, is the underlying feature of PD. Genetic studies showed much about the physiological processes associated with this disease. Replacing the cells lost by injury or disease has become a central idea aiming at the development of novel therapy for neurodegenerative diseases. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 1, 2019 · pp. 1–12 Read article
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Immunomodulation in Viral Infections
Abstract: Several studies conducted over a period of two decades established that hypothalamic-pituitary-adrenocortical axis is activated during systemic viral diseases. Modulation of the Th1/Th2 balance may affect the susceptibility to or the course of infections. Reduction of T and B lymphocytes are reported during influenza virus infection. This modulation leads to limited immune response. The brain areas involved in the regulation of hypothalamic-pituitary-adrenocortical axis are affected during viral infection. Human immunodeficiency …
Published in Research and Reviews : A Journal of Immunology · Vol. 7, Issue 2, 2017 · pp. 5–8 Read article