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1475 articles for “Performance”
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Re-Designing Spaces Under Elevated Roads
Abstract: The rapid expansion of elevated road networks in Indian metropolitan cities has significantly improved urban mobility while simultaneously creating extensive underutilized spaces beneath flyovers and elevated corridors. In Mumbai, these under-elevated spaces frequently remain neglected, poorly illuminated, and socially disconnected, often becoming locations for debris dumping, illegal parking, informal encroachments, and unsafe activities. Despite several beautification initiatives, including landscaped gardens, public art installations, and pedestrian walkways, many interventions fail to …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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Tri-Route Orchestration of Sr-Modification, MoldVibration, and T6 Treatment on the Microstructure andPerformance of A356 Alloy
Abstract: This study examines the cascade effects of chemical modification, mechanical mold vibration during solidification, and subsequent T6 heat treatment on the microstructural evolution and multi-property enhancement of A356 Alloy cast via permanent mold casting. Initially Sodium (Na) modifying flux (2– 4 wt%) and Strontium (Sr) elemental modifier (0.01–0.05 wt%) were implemented to refine the morphology of eutectic silicon; Sr addition at an optimal concentration of 0.04 wt.% yielded superior eutectic …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 2, 2026 · pp. 13–25 Read article
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From Waste to Walls: A Comparative Study of Recycled Buildings in India
Abstract: As the construction sector across the world is compelled to rein in its environmental impact – currently, estimated at nearly 40% of global carbon emissions – the use of recycled materials is no longer a secondary aesthetic option but a structural imperative. This paper presents a comparative study of pioneering Indian architectural projects that assess the effectiveness of diverted waste streams in contemporary construction. Three iconic projects to be discussed …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 2, 2026 Read article
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Electrical Properties and Applications of Carbon-Based Nanoparticles in Nanoelectronic Circuits
Abstract: The distinct electrical properties and structural characteristics of nanoscale materials have attracted significant scientific interest. As material size is reduced to the nanoscale, its physical, chemical, optical, and electronic properties change drastically compared with its bulk form. Moreover, the incorporation of nanoparticles into electronic materials provides numerous advantages and helps in improving the performance of electronic devices by enhancing charge transport, increasing sensitivity, and reducing power consumption. At the nanoscale, …
Published in International Journal of Nanomaterials and Nanostructures · 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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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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Sleep Disorders in the Geriatric Population: Assessment Tools and Care Strategies
Abstract: Sleep disorders are highly prevalent among the geriatric population and significantly affect physical health, mental well-being, cognitive functioning, and quality of life. Physiological aging, the presence of long-term medical conditions, multiple medication use, and various psychosocial influences all play a significant role in the high prevalence of sleep problems among older adults. Frequently observed sleep disorders in this population include insomnia, obstructive sleep apnea, restless legs syndrome, disturbances in circadian …
Published in International Journal of Geriatric Nursing · Vol. 9, Issue 1, 2026 · pp. 64–70 Read article
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Advances in the Synthesis and Functional Applications of Crystalline Materials
Abstract: Crystalline materials represent one of the most important classes of advanced materials in modern science and engineering due to their highly ordered atomic arrangements and outstanding physical, chemical, electrical, optical, thermal, and mechanical properties. The periodic organization of atoms within crystal lattices provides exceptional opportunities for controlling and optimizing material performance through advanced synthesis strategies, crystal growth techniques, compositional modification, and defect engineering. Recent progress in materials science has enabled …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 2, 2026 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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Spatial Variation and Pollution Assessment of Selected Water Quality Variables in the Luubara Creek, Niger Delta, Nigeria
Abstract: The spatial variation and pollution status of selected water quality variables in Luubara Creek, Niger Delta, Nigeria, were assessed between June and August 2024. Water samples were collected from four sampling stations, with Stations 1 and 2 representing areas of relatively low anthropogenic influence and Stations 3 and 4 representing areas with greater human activities. Physicochemical parameters and heavy metals were analyzed following the standard methods of the American Public …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 Read article
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An Experimental Study to Assess the Effectiveness of Feynman Technique in Learning Basic Concepts of Psychiatric Nursing Among Nursing Students at Selected College of Nursing, Bangalore
Abstract: The psychology of learning examines how individuals acquire knowledge and interact with their surroundings. Mental health as a field can sometimes appear unfamiliar or unclear, making it difficult to understand what the experience involves, or the role nurses play within it. Although psychology is a broad and complex discipline, learning fundamental psychological terms and concepts is an important first step toward understanding the human mind. The Feynman technique is a …
Published in International Journal of Neurological Nursing · Vol. 12, Issue 1, 2026 · pp. 38–46 Read article
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Advanced Magnesium-Based Metallic GlassComposites for Biomedical Implant Applications: AMachine-Learning-Informed Approach
Abstract: Magnesium-based bulk metallic glasses (Mg-BMGs) combine strength, low density, and tunable degradability. Their amorphous matrix has a small plastic process zone. This zone is only about 4 μm wide. A small process zone keeps most glasses brittle. Adding a second phase is the best fix. This chapter extends Mg-BMGs to true composites. We call these Mg-based bulk metallic glass composites, or Mg- BMGCs. The chapter covers matrix engineering and interfacial …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 48–65 Read article
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Hybrid Organic–Inorganic Metal Halide Perovskite Solar Cells: A Comprehensive Review of Materials, Device Architectures, Stability, Hysteresis, and Commercialization Challenges
Abstract: Hybrid organic–inorganic metal halide perovskite solar cells (PSCs) have emerged as a major focus of photovoltaic research due to their remarkable increase in power conversion efficiency, reaching 28% within a short period. Perovskite materials exhibit several attractive properties, including long charge-carrier diffusion lengths, tunable band gaps, and excellent light absorption capability. In addition, their low-cost fabrication processes combined with high efficiency make PSCs strong competitors to conventional silicon-based solar cells. …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 · pp. 47–60 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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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, 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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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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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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Antenna and Beam-Control Optimization of RIS-Assisted 6G Links: Phase Resolution, Directivity and Energy Efficiency
Abstract: This paper presents an antenna-oriented investigation of reconfigurable intelligent surface (RIS)-assisted sixth- generation (6G) wireless links, emphasizing practical design factors beyond conventional RIS versus non-RIS bit-error-rate comparisons. Four parameters are evaluated: phase-shifter resolution, reflected-beam directivity, aperture-dependent spectral efficiency, and controller-aware energy efficiency. A Rayleigh-fading binary phase-shift keying (BPSK) link is used for reliability analysis, while the RIS is modeled as a uniformly spaced reflective aperture through its array factor. The …
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