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1475 articles for “Performance”
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Climate Responsive Strategies in Architecture: Their Contemporary Relevance through the Lens of Culture, Heritage, and User Experience
Abstract: Climate-responsive architecture has long been recognized as a fundamental principle of sustainable design, particularly within vernacular settlements where buildings evolved in response to local climatic conditions, available materials, and cultural traditions. Traditional architecture in India demonstrates how passive environmental strategies such as courtyards, verandas, thick masonry walls, jaalis, and locally sourced materials contribute to thermal comfort, energy efficiency, and long-term building performance. However, rapid urbanization and increasing dependence on mechanical …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 2, 2026 Read article
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Impact of I/Q Imbalance Due to Gain and Phase Mismatcheson IRR, Image Leakage, Constellation Distortion, SNR and BER in OFDM Systems
Abstract: Due to its great spectral efficiency and resilience to multipath fading, orthogonal frequency division multiplexing,or OFDM, has become a popular modulation technique in contemporary wireless communication systems.Reliable OFDM reception depends on accurate channel estimate, and methods like Least Squares (LS) andMinimum Mean Square Error (MMSE) estimation are frequently used to make up for channel impairments.However, despite effective channel estimation, practical receiver performance can still be degraded by radio-frequency front-end imperfections, …
Published in International Journal of Microwave Engineering and Technology · 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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Enhancing Weak Grid Stability Using Grid-Forming BESS in Renewable-Dominated Power Systems
Abstract: The growing share of renewable energy sources in the energy mix, particularly photovoltaic (PV) installations, has resulted in the reduced grid inertia and system strength, thus presenting new challenges in terms of voltage and frequency stability in weak grid situations. Conventional grid-following (GFL) inverters rely on synchronizing with the grid and performing relatively poorly under specific situations such as disturbances, voltage sags, or islanding. It has been the aim of …
Published in International Journal of Power Electronics Controllers and Converters · 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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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · 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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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring compliance …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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Communication Profile of a Child Suspected to Have Saethre-Chotzen Syndrome: A Case Report
Abstract: Saethre-Chotzen Syndrome (SCS) is a rare congenital craniosynostosis syndrome characterized by craniofacial anomalies, limb abnormalities such as syndactyly, and varying degrees of developmental and cognitive delays. While its genetic and structural features are well-documented, there is limited literature detailing the communication characteristics associated with the condition. This case report describes the comprehensive speech, language, developmental, and auditory profile of an 8-year-old male child presenting with phenotypic features strongly suggestive of …
Published in International Journal of Pediatric Nursing · Vol. 12, Issue 1, 2026 · pp. 14–20 Read article
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Advances in Genetic Enhancement, Processing Innovation and Sustainable Valorization of Jute (Corchorus spp.): A Critical Review
Abstract: The accelerating global shift toward environmentally responsible material systems has intensified scientific and industrial interest in lignocellulosic bast fibres. Jute (Corchorus spp.) remains one of the most economically and ecologically significant natural fibres due to its renewability, biodegradability, and substantial contribution to rural livelihoods. This review critically synthesizes contemporary progress in genetic improvement, fibre structural optimization, retting biotechnology, surface engineering, and composite integration. Emphasis is placed on genomics-assisted breeding, targeted …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 10–18 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Experimental Investigation on Shear & Flexural Behaviour of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineeringstructures. However, the long-term durability of conventional steel reinforcement is often affected bycorrosion when exposed to aggressive environmental conditions, which can significantly reduce the servicelife and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer(GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensilestrength, light weight, and excellent …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Experimental Investigation on Shear & Flexural Behavior of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineering structures. However, the long-term durability of conventional steel reinforcement is often affected by corrosion when exposed to aggressive environmental conditions, which can significantly reduce the service life and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer (GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensile …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Virgin-Recycled Thermoplastic Matrix Systems as Engineered Composite Materials: A Compositional Framework for Mechanical Property Retention in Secondary Polymer Supply Chains
Abstract: Virgin-to-recycled thermoplastic resin blends, while conventionally treated as simple two- component mixtures in secondary polymer supply chains, exhibit compositional and morphological characteristics that are more accurately described using the framework of engineered composite matrix systems. This paper presents a compositional framework for understanding and predicting mechanical property retention in virgin-recycled polypropylene (PP) and high-density polyethylene (HDPE) matrix systems, developed through more than twenty years of commercial secondary polymer distribution practice …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: Abstract A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 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