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1760 articles for “Applications”
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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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Evaluating Remedy of Oil Polluted Environment Using Fermented Cassava Liquid
Abstract: A 28-day experimental investigation was conducted to evaluate the effectiveness of fermented cassava liquid in the bioremediation of crude oil-contaminated soils. Three soil types, namely clay, sandy-loamy, and swampy soils, were examined. Cassava liquid was fermented for six days to allow sufficient microbial growth before being introduced into the contaminated soil samples. Uninoculated contaminated soil served as the control. Soil samples were collected at one-week intervals throughout the study for …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 2, 2026 Read article
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Photo-Catalytic Degradation of Dyes Using Graphene Oxide–Dithizone Composite
Abstract: Graphene oxide–dithizone (GO–DTZ) composite was successfully synthesized through the copolymerization of graphene oxide and dithizone to develop an efficient photocatalytic material for wastewater treatment. The dithizone polymer was prepared using a 1:2 molar ratio, while graphene oxide was synthesized via the modified Hummers’ method to obtain highly oxidized graphene sheets with abundant oxygen-containing functional groups. The GO–DTZ nanocomposite was fabricated by ultrasonically dispersing graphene oxide with the synthesized dithizone polymer …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 · pp. 46–53 Read article
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A Descriptive Study on Current Trends in the Diagnosis and Management of Diabetic Foot
Abstract: Diabetic foot is a major and frequently occurring complication of diabetes mellitus, significantly contributing to patient morbidity, increased hospital admissions, and a higher risk of lower limb amputations. Timely identification and proper management are crucial to halt disease progression and enhance patient outcomes. This descriptive study focuses on examining current practices and advancements in the diagnosis and management of diabetic foot within clinical settings. The study highlights modern methods used …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 23–33 Read article
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Forensic Science and Nursing: A Synergistic Approach to Justice and Health
Abstract: Forensic science, rooted in the application of scientific principles to legal contexts, has played a critical role in solving crimes and upholding justice throughout history. Forensic nursing, a more recent innovation, merges health care with law enforcement to address issues such as trauma, violence, and death. This review explores the evolution of forensic science and nursing, their scopes and specializations, ethical implications, and the global expansion of forensic practices. With …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 1–5 Read article
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Sonochemical Synthesis of Copper Nanoparticles:Process Fundamentals, Scale-Up Challenges, andIndustrial Opportunities
Abstract: The sonochemical synthesis of copper nanoparticles (Cu NPs) has emerged as a powerful and widely investigated strategy in nanomaterials research, owing to the unique physicochemical conditions generated during ultrasonic irradiation. Acoustic cavitation induced by sonication produces transient microenvironments characterized by extremely high local temperatures, pressures, and rapid cooling rates, which collectively enable efficient reduction of copper precursors into nanoscale particles. These conditions cannot be easily achieved through conventional synthetic routes, …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 37–43 Read article
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Performance Evaluation and Structural Integrity Assessment of Critical Components in a Glass Vacuum Lifter Using Static-Structural and Modal Analysis
Abstract: Glass handling operations in construction, manufacturing, and industrial sectors require reliable lifting systems to ensure safe transportation while minimizing the risk of damage and improving operator safety. Vacuum lifters have emerged as an effective solution for handling large and fragile glass panels by generating secure holding forces through suction pads. The structural integrity and dynamic performance of critical components, particularly the suction pad and lifter arm, play a vital role …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 2, 2026 · pp. 1–17 Read article
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Assessment of M30 Concrete Compressive Strength Using Digital Rebound Hammer and Destructive Testing
Abstract: Abstract The assessment of in-situ concrete strength using non-destructive testing (NDT) techniques hasbecome increasingly important for quality assurance, structural evaluation, and conditionassessment of concrete infrastructure. Among the available NDT methods, the digital reboundhammer offers a rapid, economical, and non-destructive means of estimating concretecompressive strength. This study experimentally investigates the correlation between reboundnumbers obtained from a digital rebound hammer and the compressive strength of M30 gradeconcrete determined using a Compression Testing …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 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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Evaluation of Deformation Behavior of a Structural Pipe Bracket Under Static Loading Using Finite-Element Analysis
Abstract: This study presents a comprehensive structural integrity assessment and comparative static response analysis of an industrial support bracket subjected to varying mechanical loading conditions using the finite element method (FEM). Industrial brackets are essential load-bearing components in mechanical and structural systems, where adequate stiffness, strength, and dimensional stability are critical for ensuring operational reliability and structural safety. The primary objective of this investigation is to evaluate the influence of material …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System 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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Vehicle to Grid and Grid to Vehicle single phase Grid
Abstract: This paper contains the modeling and intelligent control of Vehicle-to-Grid and Grid-to-Vehicle single-phase bidirectional converter. It is suggested to have a hybridized double-loop control architecture including an outer DC-link voltage regulation loop and an inner grid current control loop. A voltage control loop is added to a DC-link voltage adjustment system with fuzzy logic controller (FLC), to adjust dynamic performance under various operating conditions controlled by adaptively regulating the DC-link …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · 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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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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A Review on LIFI- Data Transmitting System
Abstract: Using visible light as a channel for high-speed data transfer, Li-Fi (Light Fidelity) is a quickly developing wireless communication technology that offers a highly effective and cutting-edge substitute for traditional radio frequency (RF)-based systems like Wi-Fi and Bluetooth. With the exponential growth of connected devices and the increasing demand for faster and more reliable communication, the RF spectrum is becoming congested, leading to reduced performance and interference issues. In order …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Kinetic and Mechanistic Study of Isomenthol Oxidation by Trichloroisocyanuric Acid in Acidic Medium
Abstract: The oxidation reaction of isomenthol with trichloroisocyanuric acid (TCICA) was systematically investigated in acidic medium to understand its kinetics, reaction mechanism, and overall reactivity. The study was carried out under pseudo-first-order conditions by maintaining a large excess of isomenthol relative to TCICA, allowing accurate determination of the reaction rate. The progress of the oxidation reaction was monitored kinetically, and the obtained data revealed that the reaction follows first-order kinetics with …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 2, 2026 · pp. 1–7 Read article