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7 articles for “Analytical instruments”
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Software Contributions to Analytical Instruments
Abstract: Laboratory instruments used in the analysis of the sample or preparation of raw materials are crucial in research and business. Such features as accurately measured values and data coverage. The coordination between software and these instruments has changed their roles, gaining flexibility, accuracy and efficiency of work. This paper aims to outline the various roles of software in the analytical process. Instruments, describing the progress in data obtaining, analysis, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Major Analytical Problems in Current Pharmaceutical Drug Products
Abstract: Substances of pharmaceutical drug products go through thorough analyses to check the safety, efficacy as well as the quality of the final product. There are a number of shortcomings even though much has been done in the analytical methods used in recalls. Such challenges are those concerning method validation, sensitivity, specificity, reproducibility, and regulation. This article on major analytical problems in current pharmaceutical drug products outlines major limitations in the …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 1, 2025 · pp. 29–39 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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Green and Nanotechnology Approaches for the Determination of Tungsten (VI): A Modern Analytical Perspective
Abstract: The determination of tungsten (VI) has gained increasing importance due to its extensive industrial applications and growing environmental relevance. Tungsten is widely used in alloys, catalysts, electronics, and energy systems, leading to its release into environmental matrices such as water, soil, and biological systems. Accurate monitoring of tungsten at trace and ultra-trace levels is therefore essential for environmental assessment and industrial quality control. Conventional analytical techniques, including inductively coupled plasma …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 26–35 Read article
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Inclusive Design in Urban Planning Overcoming Barriers and Building Equitable Spaces
Abstract: The purpose of this study is to critically examine how inclusive design principles can be systematically integrated into urban planning to create accessible, equitable, and resilient urban environments for diverse populations. It focuses on ensuring that urban spaces respond to the needs of people across socioeconomic strata, age groups, gender identities, and physical and cognitive abilities, thereby strengthening social cohesion and everyday urban life. The overarching objective is to identify …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 18–40 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