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135 articles for “deep learning”
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid
Abstract: Wind energy is becoming one of the fastest growing renewable source in the world. It is clean and low cost, but when wind system connects to electrical grid there are many challenges like voltage fluctuation, harmonics, power loss and less stability. Power quality and efficiency problem make difficulty for strong integration with grid. For this reason, many research work is going on in area of condition monitoring, converter design, storage …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-Making
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave signals—leveraging their unique ability to penetrate non-metallic materials and operate independently of ambient lighting—as the …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Predictive Maintenance of 6G Infrastructure Using Artificial Intelligence
Abstract: The transition to Sixth Generation (6G) wireless infrastructure introduces unprecedented complexity, characterized by massive densification, reliance on the Terahertz (THz) spectrum, dynamic cell topologies driven by Reconfigurable Intelligent Surfaces (RIS), and stringent requirements for Ultra-Reliable Low-Latency Communication (URLLC). Traditional reactive or fixed-schedule maintenance protocols are fundamentally inadequate for sustaining the necessary service continuity and energy efficiency in this hyper-connected, heterogeneous environment. This paper explores the critical role of Artificial Intelligence …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, "Real Time Language Translation Application Using Tkinter," was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google's Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Construction Project Monitoring Using Computer Vision Technology – A Literature Review
Abstract: The construction industry is witnessing a transformative shift with the adoption of computer vision (CV) technologies for productivity monitoring and performance evaluation. This review consolidates the advancements in CV applications, focusing on areas, such as real-time progress tracking, resource management, and safety monitoring. The analysis highlights how automated systems, powered by deep learning models and object detection algorithms, are replacing traditional manual methods, offering enhanced accuracy, efficiency, and decision-making capabilities. …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Revolutionizing Healthcare: The AI-Driven Transformation
Abstract: Artificial Intelligence (AI) is the use of machines, especially computers, to act intelligently without much human interference. AI is basically accepted as coming into existence with the development of robots. The term robot derives from the word robata, that means use of biosynthetic machines as forced labor. Now a days, AI is spreading its arms in the medical field by use of robotic-assisted surgery, for complex urologic and gynecologic procedures. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Utilizing AI in Civil Engineering for the Construction of Green Buildings
Abstract: Artificial Intelligence (AI) is a discipline in computer science dedicated to creating and applying intelligent machines. This includes exploring recent innovations and methodologies for implementing AI in civil engineering and providing an overview of advancements in the field. The significant progress in big data, deep learning, and machine learning technologies has been successfully applied across various civil engineering sectors. Key areas of AI research in civil engineering encompass structural management, …
Published in International Journal of Construction Engineering and Planning · Vol. 10, Issue 1, 2024 · pp. 31–38 Read article
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Image Denoising by Sigma Estimation based Convolution Neural Network
Abstract: Abstract Image denoising process gains more attention due to its effective denoising performance. This paper proposed the convolution feedforward network with sigma estimation and without sigma estimation to provide the prior information to the CNN and without sigma, it does not come to CNN. The outcomes with CNN and without CNN use image denoising and reduce the MSE and enhance the PSNR. Keywords: Image Denoising, Deep Learning, Convolution Neural Network …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 18–26 Read article
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Convolutional Neural Network Algorithm for Stress Field Approximation for a Uniaxially Loaded Plate with Holes
Abstract: ABSTRACTKnowing the high stress concentration and its location around a hole is of practical importance in designing engineering structures, effective parameters can be selected in order to achieve minimum stress concentration around the hole(s). The visualisation of the stress distribution is done experimentally or numerically using finite element analysis (FEA). This study involved the approximation of the von Mises stress field distribution around regular holes in finite metallic plates, based …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 1–12 Read article
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Need of Face-Mask Detector Model to Tackle COVID-19 Situation in India
Abstract: The COVID - 19 epidemic is affecting everyone whether rich or poor, strong or weak. The use of a mask can surely aid in the control of the spread of the virus. This becomes even more important for a country like India where the total population is above 135+ crores and due to lockdowns and various other reasons, a huge percentage of the population has dipped below the poverty line …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 13–22 Read article
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System Infringement Challenges in Smart Cities
Abstract: We can increase the urban service use, improve sustainability and minimize environmental harm so that the idea of green infrastructure aims to improve the living standard of the citizens. Cybersecurity is the key issue facing smart cities. To store, process and transmit data we can use data protection, as well as the software infrastructure, all topics covered by cybersecurity. Internet of things (IoT) and internet of everything (IoE) are used …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 7–12 Read article
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DressCode Monitoring System
Abstract: This project aims to develop a dress code monitoring system using YOLO v5 object detection technology. Thesystem utilizes a camera to capture images or video footage of individuals entering a specific area and then uses YOLO v5 todetect their clothing and ensure that it complies with the predefined dress code standards. The system utilizes a deep learningalgorithm to accurately recognize various clothing items and differentiate between compliant and non-compliant attire. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 1, 2023 · pp. 11–19 Read article
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Real-time Face Mask Detection with Face Recognition Using MobileNetV2
Abstract: In 2019, human civilization faced one of the scariest pandemics in a century. The government advises people to wear a mask for their safety. But there are some cases when we find people without masks,and monitoring all of them manually is not a practical solution in today's world. We needed a method that does this job automatically with higher efficiency. To solve the problem, we have performed face mask detection …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 33–39 Read article
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An Approach for prediction of Heart Diseases using Data Mining Techniques
Abstract: ABSTRACT The healthcare enterprise collects big quantities of Healthcare statistics; however, sadly nolonger all of the facts are mined that is required for discovering hidden styles and effectivedecision making. In this paper, we advise efficient genetic algorithm with the againpropagation approach technique for heart disorder prediction. This paper has analyzedprediction systems for coronary heart diseases the use of records mining strategies. Thegadget makes use of scientific phrases inclusive of gender, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 8–21 Read article