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440 articles for “attention”
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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AI- based Prediction of Misinformation Virality Before Wide Dissemination using Attention-based Multi-modal
Abstract: Misinformation on social media has emerged as a critical global challenge, impacting public health, democratic institutions, and societal trust. While existing research has largely concentrated on detecting misinformation after it begins circulating, predicting its virality before wide dissemination remains an underexplored area, limited work addresses predicting its virality before wide dissemination. This paper presents a conceptual framework using attention-based multi-modal deep learning models to estimate the virality of misinformation posts …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 Read article
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Effect of Mindfulness-Based Yoga Practices on Anxiety and Attention Level Among High School Children in a Selected High School, Bhubaneswar, Odisha
Abstract: Background: In a world filled with endless pressures and expectation, school-aged children often find themselves navigating through a labyrinth of stressors and anxiety. from the moment they wake up their tiny minds are bombarded with worries about exams, social interaction.it is in these moments of chose that the ancient practice of yoga emerges as a gentle beacon of hope, offering solace and tranquility to these young souls. The study main …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Effect of Sustained and Selective attention paradigm in Recalling task: a Cross-Language Study
Abstract: Attention is the ability to channelize the resource towards the stimulus. Sustained attention refers to the process of holding attention for a considerable span of time while selective attention refers to the ability selectively channelize the attention to an selected set of stimulus governed by instructions. This task would require the selective inhibition of the irrelevant stimulus. The current study was carried out with the aim of investigating the sustained …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 1–6 Read article
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From Space to Sea: Leveraging Satellite Technology for Monitoring Marine Debris
Abstract: Marine trash endangers ecosystems, so efficient detection is critical. This article describes a novel strategy for improving detection accuracy by integrating YOLOv7 instance segmentation with attention processes. Three models are evaluated: lightweight coordinate attention, the convolutional block attention module (CBAM) for spatial-channel focus, and the bottle neck transformer, which relies on self-attention. On an annotated satellite image dataset, CBAM has the greatest F1 scores in box recognition (77%) and mask …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 1–9 Read article
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Precision Medicine for Neurofibromatosis Type 1: Progress and Prospects in Drug Discovery
Abstract: Objective: The development of neurofibromas, café-au-lait spots, and other neurological problems are the hallmarks of neurofibromatosis type 1 (NF1), a hereditary disorder. The dearth of efficacious pharmaceutical therapies underscores the need for novel therapeutic approaches, even in the face of clinical variability. Through very accurate prediction of the binding affinity of possible therapeutic drugs with the target protein, the computational technique known as “molecular docking” has become a potent tool …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 01–15 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article
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Unveiling Insights and Strategies for Cognitive Mental Acuity
Abstract: This comprehensive review focuses on the intricate facets of cognition, emphasizing its multifaceted nature rooted in thought, experience and sensory perception. The role of key brain regions, such as the prefrontal cortex, temporal lobes, parietal cortex, occipital cortex and cerebellum, is elucidated in shaping various mental functions. The pathophysiology of cognitive decline is examined, linking specific impairments to damage in distinct brain regions. The study delves into pharmacological and non-pharmacological …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 1, 2024 · pp. 1–10 Read article
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AI Hindi Poem Generator
Abstract: The Hindi Poetry Generator project represents a pioneering initiative in the domain of computational creativity, blending machine learning algorithms and natural language processing methodologies to craft poetic expressions in the Hindi language. Rooted in the vast landscape of Hindi literature, this project harnesses the power of deep learning models to generate evocative and culturally significant poetry. At its core, the system relies on neural networks and sophisticated language modeling techniques …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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A Research Study on Cognitive Health Benefits of Nicotine to the Human Body
Abstract: Background: Nicotine has been primarily known for its addictive properties and associated health risks, particularly in tobacco products. However, recent research has highlighted nicotine’s potential cognitive health benefits, especially in neurodegenerative diseases like Alzheimer’s and Parkinson’s. This study investigates smoking prevalence across mental health conditions, and cognitive impairments in various psychiatric disorders, and explores the possible cognitive health benefits of nicotine. Methods: Data on age and gender distribution, smoking prevalence, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 16–23 Read article
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Exploring the Potential of AI-Driven Personalized Learning and Cognitive Interventions for ADHD Management in Indian Children and Adolescents: A Focus on Early Intervention
Abstract: Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental condition that significantly impairs attention, executive functioning, and behavioural regulation in children and adolescents. In India, the management of ADHD is particularly challenging due to low public awareness, social stigma, and a critical shortage of specialized mental health services, especially in rural areas. These systemic barriers often lead to delayed diagnoses and limited access to consistent care. However, with the rapid …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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A Virtual Reality—Metaverse and Its Trends
Abstract: In 1992, the concept of a metaverse was first introduced to the public. Metaverse, as its name implies, is a mashup of the terms "meta" and "universe," where "meta" is Greek for "beyond”. As a result, it means beyond our current understanding of the universe. It exists in the virtual world but feels just as real. In a metaverse, various virtual spaces are combined into a single, persistent, 3D environment. …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 44–49 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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The Role of Color in Influencing Consumers
Abstract: Marketers have long used color's ability to attract customers' attention. Products with attractive packaging will definitely attract the attention of customers and differentiate themselves from other products on the shelf. Many studies have shown that color dulling can occur when the representation of color relationships is not consistent. Thus, the purpose of this study is to comprehend how color influences consumers. In order to find out the participants' preferred colors, …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 1, 2024 · pp. 39–49 Read article
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Formulation And Evaluation of Paper Soap
Abstract: People are more likely to get bacterial skin infections, which need careful attention to both treat and preserve healthy skin. This article’s frequently used hand wash preparation calls for making paper soap with almond and peppermint and assessing its parameters. According to the study, the tested paper soaps may have antimicrobial qualities and can help treat and manage bacterial skin infections if they are properly prepared using the right plant …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 2, 2024 · pp. 1–6 Read article
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Evaluation of T-stress using FEM in an Unsymmetrical Cracks Emanating from a Hole Placed Centrally in a Thin Plate
Abstract: Studying the impact of higher order terms of the William’s series expansion on fracture mechanics problems has received more attention in recent years. Research has demonstrated that the constant term T-stress has a significant impact on the stress and strain fields around the crack tip. In response to mixed mode (I/II) loading, a number of fracture criteria had been developed to characterize failure in linear elastic bodies. When evaluating the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 09–20 Read article
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A Review Article on Spice up the Solution of Inflammation Through Phytomedicines
Abstract: Inflammation is a complex, protective immune response essential for healing and combating infection. However, prolonged inflammation is associated with chronic diseases, such as arthritis, cardiovascular disorders, diabetes, and neurodegenerative conditions. Traditional nonsteroidal anti-inflammatory drugs (NSAIDs) and corticosteroids can exhibit adverse effects, particularly with chronic administration. This challenge has encouraged the exploration of natural alternatives. Among various natural anti-inflammatory agents, spices, such as ginger, garlic, turmeric, cardamom, and black pepper have …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article