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88 articles for “memory”
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Finite Element Analysis (FEA) for Nonlinear Behavior in Advanced Materials
Abstract: (FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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Integration of smart materials with traditional aesthetic
Abstract: Abstract: This research explores the integration of responsive and adaptive smart materials in modern architecture for a balance of sustainability and cultural heritage. Advanced materials, such as thermochromic glass, shape memory polymers, and phase change materials (PCMs), benefit energy efficiency and adaptability. The research will provide practical guidelines for designers to link innovation to tradition through literature reviews, advanced simulations, and community feedback. Exploring the potential of energy conservation through …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 1, 2025 · pp. 85–101 Read article
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Intelligent Approaches to Functional Material Development
Abstract: By empowering systems to carry out tasks like decision-making and problem-solving that call for human-like intellect, artificial intelligence (AI) is revolutionizing technology. A key enabler of this progress is functional materials, designed through materials engineering to meet the needs of high-performance technologies like semiconductors, sensors, and memory storage. These materials are vital in ensuring AI systems operate efficiently by providing the computational power, energy efficiency, and sensory capabilities required. The …
Published in International Journal of Energetic Materials · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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EXPLORING SENSORY EXPERIENCE OF THE DUBAI CREEK
Abstract: Tourism is the fastest growing sector of the global economy and one of the key driving force of growth and development of the country. Current tourism literature highlights the sensory aspects of destinations is crucial to facilitate positive and memorable tourist experiences. The paper aims to investigate how tourists perceive, sense, think, and record their particular destination and also to understand how their feelings about that particular place have elicited …
Published in International Journal of Urban Design · Vol. 4, Issue 1, 2021 · pp. 38–47 Read article
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Seismic Performance of RC Building Using SMA Device
Abstract: In the present study, the seismic performance of RC frames with superelastic shape memory alloy damper (SMAD) is investigated. Shape memory alloys (SMA) belong to a class of smart materials capable of regaining its original shape when subjected to heat at a certain temperature. Hence, SMA is used as energy dissipater and re-centering components. A numerical investigation is carried out with nonlinear time history analysis of a five-storey RC frame …
Published in International Journal of Structural Engineering and Analysis · Vol. 5, Issue 1, 2019 · pp. 1–7 Read article
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Adaptive Text_Summarization: A Meaningful Summarization of Reviews
Abstract: Adaptive text_summarization is a model which takes elaborated data set of reviews containing more than two attributes as input and further breaks down those large chunks of text into summarized - form by eliminating attributes which are of less important for final evaluation. We keep only those attributes which contribute for better adaptation of meaning of the dataset. We have executed the techniques of Recurrent Neural-Network and Seq2Seq models to …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 1–7 Read article
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Modern Ceramic Compose to Pervade Electronics
Abstract: This article composed from articles where ceramics, photonics, and allied fame schemed. Scheme of materials is studied to transduce optical, electrical, mechanical, and magnetic phenomenon. Evolution of description at nanometer level of distributing from non-degenerating phases schemed ferrite in the ferroelectric matter to subject magnetic memory contravened from/by electrostatic to electrical current preserved memory acts. Suggestive selective scriptive as from magneto-electric effect induced dielectric polarization of material under effects of …
Published in International Journal of Metallurgy and Alloys · Vol. 7, Issue 2, 2021 · pp. 11–16 Read article
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Ferromagnetism in II-VI Diluted Magnetic Semiconductor, Zn0.96Mn0.04O Nanostructures by Green’s Theorem
Abstract: Ferromagnetism in II-VI diluted magnetic semiconductor, Zn0.96Mn0.04O is studied. Using the Heisenberg principle, the spin exchange between the neighboring spin is discussed. Heisenberg’s model describes the Hamiltonian of the system in terms of spin density and excitons. Mathematically, magnetic parameters such as magnetizations and magnetic susceptibility are determined by Green’s function. Ferromagnetism is expected from sp-d exchange interactions (RKKY), point defects such as oxygen vacancies, and Zn interstitial and quantum …
Published in International Journal of Metallurgy and Alloys · Vol. 8, Issue 2, 2022 · pp. 28–36 Read article
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Busy Life Syndrome
Abstract: We live in a fast-growing, technology-based money motivated world, leaving us no time to spare in for our work, family, friends, exercise and events. This syndrome was coined by Scottish researchers to describe type of memory loss. According to Glasgow Clinical Trials, the cause of busy life syndrome is hectic life and sleep deprivation which leads to memory loss and lack of concentration. Diagnosis is purely based on clinical history …
Published in International Journal of Neurological Nursing · Vol. 5, Issue 1, 2019 · pp. 35–38 Read article
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A quasi experimental study was conducted to assess the effectiveness of structured teaching programme regarding the knowledge about cataract among the patients admitted in ophthalmic ward of Dr. S.M.C.S.I Medical College and Hospital, Karakonam
Abstract: A quasi-experimental study was conducted to assess the effectiveness of structured teaching programme regarding the knowledge about cataract among the patients admitted in ophthalmic ward of Dr. Somervell Memorial CSI Medical College and Hospital, Karakonam. Objectives of the study: (1). To assess the knowledge level regarding cataract and its management among cataract patients in the ophthalmic ward. (2.) To determine the association between level of awareness of cataract patients with …
Published in International journal of Nursing Science Practice and Research · Vol. 5, Issue 1, 2019 · pp. 18–23 Read article
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Mnemonics and Nursing
Abstract: Being able to remember new and unfamiliar material is very necessary for the success of students. As all the students move through high school to college and university and beyond, larger amounts of new information and the content that is presented to them is very complex. Mnemonics are various strategies that help to retain very complex information or facts and figures in the long-term memory. Thus, these are some of …
Published in International journal of Nursing Science Practice and Research · Vol. 5, Issue 2, 2019 · pp. 19–25 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Intersections between Architecture and Culture and Heritage Management
Abstract: Architecture and culture are deeply interconnected, with each influencing and reflecting the other over time. Buildings are more than physical structures; they represent the beliefs, traditions, values, and lifestyles of the communities that create them. As societies evolve, architecture becomes a living record of their social, political, economic, and technological development. At the same time, cultural heritage management plays a crucial role in protecting and preserving these architectural assets, ensuring …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 2, 2026 Read article
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Preservation to Continuity:Reconsidering Heritage Management Paradigms
Abstract: Conventional heritage management frameworks largely treat heritage as a finite collection of monuments and protected sites, prioritizing material conservation over cultural continuity. In rapidly transforming socio-urban contexts, such approaches often fail to address the dynamic relationships between heritage, lived cultural practices, and collective memory. The primary objective of this study is to develop a holistic heritage management framework that integrates tangible and intangible heritage through participatory governance and adaptive policy …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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A Study to Assess the Effectiveness of a Structured Teaching Programme on Knowledge Regarding Newborn Care Among Postnatal Mothers at Selected Hospitals in Rourkela, Sundargarh, Odisha
Abstract: The neonatal phase encompasses the initial four weeks of a baby's existence. A lot of complicated physiological changes happen, and the baby responds to all sorts of stimuli, during this time. Efficacious and continuous care is required at this time. "Newborn care includes determining if resuscitation is necessary, conducting a full medical examination, giving the baby immunisations and preventative drugs, making sure the baby gets enough to eat, gets enough …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 2, 2026 · pp. 26–33 Read article