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255 articles for “data dependence analysis”
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An Efficient LoRa-Enabled Fault Detection Using Self-Powered IoT Device
Abstract: This study describes a revolutionary internet of things (IoT) solution for effective defect detection in a variety of applications. By utilizing an IoT device that generates energy from the surroundings, the suggested solution gets around the drawbacks of conventional battery-operated gadgets. The suggested approach makes use of a self-sustaining IoT gadget that can capture energy from the surroundings to get beyond the drawbacks of conventional battery-powered IoT devices. Longer functioning …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–13 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article
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Energy, Exergy and Exergoeconomic Analysis of a Forced Draft Cooling Tower
Abstract: This paper presents the results of energy, exergy and exergoeconomic analysis for a forced draft cooling tower. The work was done using field data from an operating system spanning ten (10) years. The process was modelled mathematically and computer simulations were made using the MS Excel environment, specifically on the dependence of both the energetic efficiency on the inlet water temperature and the second law efficiency on the inlet water …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 3, Issue 2, 2013 · pp. 8–18 Read article
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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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Assessment of Temporal Features for Geographical Localisation of Satellite Images
Abstract: AbstractMost of the geographical applications are dependent upon the frequent interpretation or analysis of satellite images captured at periodical manner. Consequently the observation is mainly due to the environmental or human based comprehensive changes in spatio-temporal information, which affect the overall process. Thus the past and present data are main sources in the various predictive investigations in remote sensing. While inherent spatial and spectral information are exploited severely, it is …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 1, 2016 · pp. 16–26 Read article
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Modeling of Temperature Data of Coal Samples by Event-Time Continuum Analysis
Abstract: Time-event based analysis of temperature data modeling for coal samples by thermal camera and type-k thermocouple in algebraic approach are presented in this paper. Obtaining of different value for an identical factor, temperature (T), from coal and analysis of their acquiring mechanism in the light of mathematical morphism (→) are required to be defined with respect to time yet. Without proper interconnective function between two individual data modeling techniques of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 6, Issue 1, 2016 · pp. 16–35 Read article
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Analysis of the Current Chopping and Breaker Stresses in Electric Power Networks
Abstract: This paper addresses the phenomenon of current chopping in electric power networks and the resulting circuit breaker transient recovery voltage. Its dependence on the pre-interruption loading conditions and the data of the power network is demonstrated. A Laplace-domain model with normalized network circuit parameters is adopted and a closed-form expression for the recovery voltage is derived. A numerical Laplace inversion technique using Mathematica is implemented in order to get its …
Published in Trends in Electrical Engineering · Vol. 11, Issue 2, 2021 · pp. 1–11 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Utilizing Machine Learning to Evaluate the Connection between Poisson's Ratio and the Petrophysical Properties of Reservoir Rocks
Abstract: The Poisson's ratio is a crucial cornerstone, illuminating our understanding of geomechanical behaviour in wells during the dynamic drilling process and the inspiring recovery journey. This research rigorously employs machine learning methods to analyse the significant impact of geophysical parameters on the Poisson ratio in hydrocarbon reservoirs found in oil fields. The analysis utilized data from multiple oil and gas fields, highlighting the crucial relationships between the Poisson ratio, the …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Aerodynamic Analysis of Formula 1 Race Car: A Case Study
Abstract: If you look at all the factors in Formula 1 that can be influenced with engineering, more than 70 percent is aerodynamics. Computational Fluid Dynamics plays an increasing role in the design process for the automotive industry, in particular for the prediction of aerodynamic characteristics. This Study is concerned with simulation of aerodynamic flow around the front part of a formula 1 racing car. The numerical simulation includes geometrical modelling, …
Published in Recent Trends in Fluid Mechanics · Vol. 2, Issue 3, 2015 · pp. 1–9 Read article
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Algorithm for Selecting Signal Processing Technique in Vibration Based Condition Monitoring System
Abstract: In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which the signal processing technique is selected. In present work, a comprehensive condition monitoring algorithm is proposed. This algorithm classify the signal according to its behavior …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 3, 2012 · pp. 1–5 Read article
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Revolutionizing Document Analysis Using AI Based Text Extraction Methods
Abstract: The AI Document Analyzer is an innovative application created to revolutionize how we engage with and comprehend textual data. By integrating a range of advanced technologies, including Next.js, Drizzle ORM, OpenAI, Stripe, TypeScript, and Tailwind, this tool offers a comprehensive solution for document comprehension. Central to its functionality is a chat-based interface powered by the ChatGPT API, allowing users to engage in natural language conversations with their uploaded documents. This …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 40–46 Read article
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Text Mining Algorithms in Social Media
Abstract: AbstractSocial networks are wealthy in different sorts of substance, for example, texts and multimedia. The capacity to apply text mining calculations viably with regards to content information is basic for a wide assortment of uses. Interpersonal organizations require text mining calculations for a wide assortment of uses, for example, watchword search, characterization, and bunching. While search and characterization are notable applications for a wide assortment of situations, interpersonal organizations have …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 26–29 Read article
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Assessment of a Wind Energy Conversion System for Sustainable Hydrogen Production by Alkaline Water Electrolysis in India: Effect of Geographical Location and Wind Turbine Type
Abstract: The use of wind energy for electricity generation and use of this electricity for hydrogen production by alkaline water electrolysis promises to be a truly sustainable scheme for the postulated hydrogen economy. This work addresses the feasibility assessment of a standalone wind energy based turbine generator system that meets the energy requirements of the electrolysis process at several locations in India. Energy requirement for electrolysis depends on the hydrogen production …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 5–22 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Trend of LIS Education in Abroad
Abstract: AbstractIn the current world scenario, where the whole world has become a digital village, students are more comfortable using digital tools rather than looking into books. Instead of looking for information in books like encyclopedia’s today’s generation is more dependent upon websites like Yahoo, Google and OPAC etc. The paper analyzes the nature and extent of major curricular change in LIS education. Multiple methods were used to collect data, including …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 30–33 Read article
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DIGITAL PAYMENTS AS A DRIVER OF SUSTAINABLE CONSUMPTION: A CONSUMER-BASED STUDY OF PERCEIVED CHALLENGES AND OPPORTUNITIES IN FINTECH ECOSYSTEMS
Abstract: The Digital Payment Systems evolved remarkably fast, and so, have transformed the way in which the consumer makes purchases for products and services as well as the way in which they function economically, i.e., how they consume things. Beyond convenience and efficiency, digital payments are increasingly viewed as a potential driver of sustainable consumption by reducing cash dependency, improving transaction transparency, and supporting responsible spending practices. This study examines digital …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 1–12 Read article
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Assessment of Two Phase Turbulent Mixing Models for Subchannel Analysis Relevant to BWR
Abstract: AbstractDetermination of turbulent mixing rate of two phase flow between neighboring subchannels is an important aspect of subchannel analysis in reactor rod bundles. Various models have been developed for two phase turbulent mixing rate between subchannels. These models show that turbulent mixing rate is strongly dependent on flow regimes; their validity was examined against specific or limited experiments. It is vital to evaluate these models by comparing the predicted two …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 25–44 Read article