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146 articles for “Keywords: architecture”
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From Early Innovations to Modern Breakthroughs: The Evolution and Applications of Microprocessors
Abstract: Microprocessors have revolutionized modern technology, starting with the groundbreaking Intel 4004, the first commercially available microprocessor. These versatile chips have since evolved dramatically, advancing from 4-bit architectures to today\u2019s 64-bit ultra-core processors. This paper explores the progression of microprocessor technology, highlighting key milestones, such as the introduction of integrated circuits, multi-core architectures, and advanced instruction sets. The study examines microprocessors’ widespread applications, including personal computing, gaming, consumer electronics, and industrial …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 7–14 Read article
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Vastu Shastra and the Celestial Connection: Indian Perspectives on Landscape Architecture
Abstract: As an ancient tradition with a strong foundation in celestial observation, Indian astrology has had a profound impact on how people perceive and engage with their surroundings. This study examines the relationship between astrology and landscape design via the prism of Vastu Shastra and other traditional traditions, with a sole focus on the Indian environment. This case study illustrates how planetary alignments and celestial patterns influence the creation of harmonious …
Published in International Journal of Landscape Planning and Architecture · Vol. 11, Issue 1, 2025 · pp. 1–8 Read article
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · 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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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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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Exploring the Role of CAD Systems in Modern Engineering and Manufacturing
Abstract: Abstract Computer-Aided Design (CAD) systems have revolutionized various industries, providing professionals with sophisticated tools to design, analyze, and optimize products with greater precision and efficiency. These systems integrate both hardware and software to assist engineers, architects, and designers in creating and manipulating detailed representations of physical objects. This article explores the evolution of CAD systems, their core components, types, and applications across diverse sectors like automotive, aerospace, manufacturing, and architecture. …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 24–29 Read article
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Echoes of Eternity: Unveiling Passive Design in Punjab's Architectural Heritage
Abstract: The architectural heritage of Punjab is adorned with a diverse array of historical structures that silently bear witness to the passage of time. This research paper aims to explore and analyze the implementation of passive design strategies in the ancient monuments of Punjab, with a focus on showcasing case examples that exemplify the integration of sustainable architectural principles. The study delves into the historical and cultural context of these monuments, …
Published in International Journal of Landscape Planning and Architecture · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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An Overview on AI in Thermal Behaviour of Polymers
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the thermalanalysis of polymers and composite materials has transitioned from experimental curiosity to acornerstone of material science. By replacing costly and time-consuming trial-and-errorlaboratory testing with predictive modeling, AI is accelerating the development of advancedthermal interface materials, fire-retardant polymers, and aerospace-grade composites. Theprediction and optimization of the thermal behavior of polymers and composite materialsrepresent a cornerstone of modern materials science, …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 12–16 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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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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A Overview on Reimagining MOSFET as Precision Thermal Sensor
Abstract: In the landscape of modern microelectronics, the transition from discrete sensing components to fully integrated silicon solutions have become a necessity for the advancement of the Internet of Things (IoT) and high-performance computing. This design explores the utilization of the MOSFET as a primary temperature-sensing transducer, leveraging its inherent thermal sensitivity rather than treating heat as a parasitic interference. By operating the MOSFET in the subthreshold (weak inversion) or saturation …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 8–13 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Sustainability Meets Innovation: The Role of Cloud-BBased basedPlatforms in Optimizing Environmental Data for Landscape Architecture
Abstract: Technological developments that maximize environmental efficiency are having a growing impact on landscape architecture as the global emphasis on sustainability grows. Through an investigation of how cloud-based platforms might improve the gathering, handling, and analysis of environmental data in landscape architecture, this research investigates the relationship between sustainability and innovation. In order toTo enable landscape architects to create more resource-conscious and energy-efficient landscape designs, the study explores how platforms like …
Published in International Journal of Landscape Planning and Architecture · Vol. 11, Issue 1, 2025 · pp. 31–40 Read article
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A Multi-Criteria Approach to Assessing the Revival of Heritage Through Adaptive Reuse: The Case Study of Fagbewesa’s House in Osogbo, Osun State Nigeria
Abstract: Heritage buildings often become obsolete in their original functions, leading to vacancy and deterioration. Adaptive reuse emerges as a vital strategy for conserving these structures, providing new life and utility while preventing their demolition. This approach supports sustainable heritage conservation by preserving both the tangible and intangible values of the original buildings, enhancing the resilience of building materials, and minimizing waste and time. The decision-making criteria for adaptive reuse encompass …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 1, 2025 · pp. 1–17 Read article
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High-Tech Battery Management Systems with Integrated Battery Electronics
Abstract: “Sophisticated BMSs with onboard battery electronics are a paradigm shift in battery technology, sensitive enough to meet the increasing needs of contemporary applications like electric vehicles, renewable energy storage, and portable devices. This paper discusses the architecture and functional aspects of the integrated systems in optimizing performance, safety, and lifespan through real-time monitoring and control of individual cells. Integrating critical electronics directly onto the battery structure, such systems minimize complexity …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 21–28 Read article
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Solar Powered Motion-Activated Camera Based Surveillance System
Abstract: This study presents the design and installation of a solar-powered motion-activated camera aimed at enhancing security while promoting energy efficiency and sustainability. Using a PIR sensor, the system activates only upon detecting motion, reducing unnecessary power usage and data storage. It operates using solar energy, making it suitable for remote areas. With the help of a photovoltaic panel and a rechargeable battery, the system runs only on solar energy, ensuring …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 2, 2025 · pp. 12–19 Read article
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From Fiction to Reality: Feasibility Study of Arcologies like Peach Trees in ContemporaryUrban Contexts
Abstract: The concept of arcologies—self-contained vertical cities that integrate housing, workspaces, and amenities within a singular megastructure—has emerged as a potential solution for urban planners and architects, echoing both the utopian ambitions and the critiques of high-density urbanism. Drawing from both speculative fiction and real-world high-density developments such as the Kowloon Walled City and Marina Bay Sands, this study examines arcologies through the multidisciplinary lenses of architecture, urban governance, environmental sustainability, …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 20–25 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