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88 articles for “long-term memory”
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Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article
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Mucosal Vaccines in Fish: Novel Advances in Technology and Delivery: A Review
Abstract: Vaccines rely on the acquired immune system and prime an animal to a particular antigen so that on subsequent encounter; it is recognized and quickly destroyed. The vast majority of pathogens enter the body via the mucosal surfaces of the gastrointestinal, respiratory, and urogenital tracts, where they initiate mucosal infections that lead to systemic infections. There is strong evidence that an optimum mucosal immune response can prevent systemic infection and …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 1, 2019 · pp. 14–26 Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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VolleyNexis AI: A Multimodal Artificial Intelligence Framework for Opponent Strategy Prediction, Tactical Intelligence, and Athlete Performance Optimization in Volleyball
Abstract: The rapid advancement of Artificial Intelligence (AI) has profoundly transformed sports analytics, enabling deeper insights, real-time data analysis, and enhanced performance predictions. Noticeable results have been seen by enabling automated analysis of complex gameplay patterns along with athlete performance. Volleyball is a dynamic and strategic sport, which requires continuous tactical adjustments and constant monitoring of the player’s performance. This paper presents VolleyNexis AI, which is a multimodal artificial intelligence framework …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Stock Price Prediction Using RNN and LSTM
Abstract: Prediction of stock market has been an attractive topic to the stockbrokers. In stock market the decision on when buying or selling stock is important in order to achieve profit. There are number of techniques that can be used to help investors in order to make a decision for financial gain. In this research work we have proposed a prediction algorithm that will give the relation between the dependent factor …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 26–34 Read article
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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Stock Price Movement Prediction using Machine Learning Algorithms and Time Series Models: A Review
Abstract: The stock market is a very important place for investment in a country. It also serves as the index of the growth for an economy. To determine the behavior of the stock market trends has been the focal point of researchers for very long. The nonlinear structure of the stock market makes it challenging to predict how the stock price will change. But it has been demonstrated that stock market …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 2, 2022 · pp. 7–13 Read article
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A Model for Intrusion Detection and Prevention in a Database System Using Deep Learning
Abstract: With emerging and improved technologies, attacks on database systems and network have also increased. Among the top 10 security weaknesses mentioned, SQL injection and cross-site scripting attacks are the two most significant that cause anomalies in Database Systems. Although these datasets in the database may contain outliers which are typically abnormalities, and therefore accurate classification is necessary in order to prevent false alarms and identify these anomalies. This research created …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Photonic-Assisted Spintronic Solid-State Switching Model for High-Speed Memory Devices
Abstract: The rapid advancement of high-speed computing and data-centric applications has intensified the demand for energy-efficient and ultra-fast memory technologies. This paper proposes a Photonic-Assisted Spintronic Solid-State Switching Model for next-generation high-speed memory devices. The proposed framework integrates photonic excitation mechanisms with spintronic switching dynamics to enhance data transfer speed, minimize switching delay, and reduce power dissipation in solid-state memory architectures. By combining optical pulse-assisted spin polarization with magnetic tunnel junction-based …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Early Life Nutrition as a Determinant of Long-Term Vaccine Immunogenicity in Livestock: Mechanisms, Practical Strategies, and Species-Specific Considerations
Abstract: Early life represents a critical period for immune system development in livestock, during which nutritional exposures can exert long lasting effects on vaccine immunogenicity. Although vaccination is a cornerstone of infectious disease control in food producing animals, marked variability in vaccine induced immune responses is frequently observed under commercial conditions. Growing evidence suggests that this variability is partly driven by differences in early nutritional status, which can influence immune maturation, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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MicroRNAs in Animal Behavior: Regulation of Memory and Decision-Making in Mammals
Abstract: MicroRNAs are small, non-coding RNA molecules that play a crucial role in post-transcriptional regulation of gene expression. In recent years, their significance has extended beyond cellular development and disease regulation, as emerging evidence suggests they are critical mediators in complex behavioral processes, including learning, memory, and decision-making. This article explores the role of miRNAs in regulating neural plasticity and cognitive functions in mammals, emphasizing their involvement in memory formation and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 21–25 Read article
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The Cognitive Renaissance: Transforming Your Mind with Innovative Techniques
Abstract: Cognitive abilities play a crucial role in our daily lives, as they impact our capacity to concentrate and stay focused on tasks. When cognitive impairments occur, domains such as working memory, executive function, attentiveness, and knowledge acquisition can be negatively affected. Fortunately, intervention programs have been shown to enhance cognitive abilities and improve daily functioning. Regardless of age, various intervention programs can improve multiple aspects of cognitive functioning. In this …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 1, 2023 · pp. 47–56 Read article
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Self Healing Material: An Introduction
Abstract: Self-healing materials have emerged as a transformative innovation for sustainable infrastructure and advanced applications such as wearable electronics and smart transportation systems. These materials possess the intrinsic ability to repair damage autonomously or with minimal external intervention, thereby extending service life and reducing maintenance costs. Inspired by biological systems, self-healing mechanisms are broadly classified into extrinsic approaches, such as microcapsule and vascular networks based healing, and intrinsic mechanisms involving reversible …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 604–611 Read article
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Rest Web Services
Abstract: Web Services are a collection of open protocols and standards that allow clients and servers to communicate with one another. It enables interoperability between disparate applications. Representational State Transfer (REST) and Simple Object Access Protocol (SOAP) are the two most widely used web services today (SOAP). REST is a style of architecture, whereas SOAP is an underlying protocol. Both services are used to manage communication on the internet (www). Both …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 3, 2021 · pp. 41–59 Read article
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Stiffness of Concrete Flexural Members Increases on Use of Shape Memory Alloy Bars as Reinforcement
Abstract: This paper describes the properties of Shape Memory Alloys (SMAs) and its useful aspect towards utilization in civil engineering structures. The non-linear material behavior in terms of shape memory effect, superelasticity, martensite damping and variable stiffness is presented. The values of effective moment of inertia and cracking moment, of treated and controlled Reinforced Concrete (RC) beams were determined using ACI 318, AS 3600 and CEB-FIP model codes. Treated beams were …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 124–138 Read article
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Shape-Memory Polymer Systems in Custom-Fit Prosthetic and Orthotic Design
Abstract: SMP systems have now become important materials in constructions of custom-made prosthetic and orthotic devices. They can back and forth change shape based on heat, humidity or light. The capability allows physicians and patients to shape the devices quickly and change them in real time which is not possible with ordinary plastics. Antinomy, comfort is vital and distribution of forces changes continuously in the rehabilitation engineering. The solution to these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 254–263 Read article
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Performance and Reliability Analysis of NAND Flash Memory through Characterization
Abstract: An extensive review of NAND flash memory technology is given in this study, with an emphasis on its design, guiding principles, and most recent developments. The importance of NAND flash memory in contemporary digital storage systems is discussed in general terms, emphasizing how widely used it is in everything from consumer electronics to business storage solutions. The underlying architecture of NAND flash memory, including the arrangement of memory cells, pages, …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 21–27 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 1–7 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 1, 2022 · pp. 1–7 Read article
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Polymeric Materials in Assistive Devices for Cerebral Palsy: Advances and Applications
Abstract: The neurological condition known as cerebral palsy (CP) impairs muscle coordination and movement often necessitating assistive devices for mobility, support, and rehabilitation. These devices are crucial for enhancing CP patients' quality of life by boosting their independence, comfort, and overall functionality. Recent advancements in polymer chemistry have revolutionized the development of assistive devices, offering enhanced flexibility, durability, and biocompatibility. The integration of polymeric materials in orthotic supports, adaptive braces, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 316–322 Read article