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41 articles for “complex variables”
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Polynomial Thevenin Resistance Networks for Spice Simulation
Abstract: Two networks with resistors and independent sources are considered to compute Thevenin resistance. A different network is considered where the Thevenin resistance from the previous independent networks is to be incorporated (in a polynomial representation). Different methods using Spice/Pspice software to obtain the above representation are described. SPICE/OrCAD software is used to obtain equivalent circuits for Thevenin equivalent network parameters used in polynomial form are described and other different networks …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 · pp. 22–36 Read article
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Non-Equilibrium Entropy Pathways in Complex Fluids: A New Framework for Thermodynamic Irreversibility
Abstract: When a system is driven, sheared, stretched, heated, or pressurized under varying thermodynamic gradients and kept away from equilibrium, ultra-microscopic rearrangements begin to occur, indicating continuous energy dissipation. Along these energy pathways, the microstructures of complex fluids undergo multiple stages of reforming and rearrangement. In complex fluids composed of identical compounds (chemically identical species), these interactions play a supportive role and reduce the overall entropy of the system. However, when …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Fracture and crack propagations in plates - A review
Abstract: The development and applications of the boundary based finite element technique for fractured mechanics analysis are reviewed. Also, some researchers used the complex variable method and least boundary allocation method. In this method, most researcher investigated the 2-D isotropic, anisotropic and orthotropic materials for makes different types of plate such like this rectangular and circular with various cracks and hole cut-outs and these plates are used different types of bi-axial …
Published in International Journal of Mechanics and Design · Vol. 4, Issue 1, 2018 · pp. 1–14 Read article
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Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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Biopolymers in Medical Application: A Study
Abstract: Biopolymers – naturally derived macromolecules, such as polysaccharides, proteins, and polyhydroxyalkanoates – have emerged as a versatile toolbox for next-generation medical technologies. Their intrinsic biocompatibility, tunable degradation kinetics, and capacity for molecular functionalization enable the design of devices that communicate with living tissue rather than merely coexist with it. This review synthesizes recent advances across four inter-related fronts: (i) drug-delivery carriers, where chitosan-based nanoparticles and hyaluronic-acid hydrogels provide stimulus-responsive release …
Published in International Journal of Polymer Science and Engineering · Vol. 11, Issue 2, 2025 · pp. 1–15 Read article
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How Interdependency of Living Being Impacts the Development of a Biodiversity: In Context to Urban Ecology
Abstract: In many respects, organisms depend on the interactions they have with their surroundings and other living things. Biodiversity is the variability of many organisms with their ecological complexes in which they fall. The diversity of living organisms can be within them or possibly between them. Either directly or indirectly, both plants and animals depend on each other. The way they depend on, forms compatibility with their surroundings. Originally, plants were …
Published in International Journal of Landscape Planning and Architecture · Vol. 9, Issue 1, 2023 · pp. 14–21 Read article
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Optimization and Control of Evaporative Separation Processes
Abstract: Evaporative separation processes are widely used in various industries, including chemical manufacturing, petroleum refining, and food and beverage processing, to separate components based on their vapor pressures. These processes involve the use of equipment such as distillation columns, evaporators, and membrane-based systems, and are critical for ensuring product quality and process efficiency. However, the complexity of evaporative separation processes and the inherent variability in feedstock composition and quality make it …
Published in International Journal of Chemical Separation Technology · Vol. 8, Issue 2, 2022 · pp. 27–31 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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A Review on Hybrid Honeycomb Engine Mounts for Vibration Isolation in Variable Compression Ratio Engines
Abstract: The increasing sophistication of modern engine systems has highlighted the importance of advanced vibration control methods. Engines today are required to function under continuously changing operating conditions, particularly in Variable Compression Ratio (VCR) systems, where vibration behavior becomes highly complex, non-linear, and dependent on time. Under such circumstances, conventional engine mounts often struggle to deliver stable and consistent performance. In contrast, hybrid honeycomb structures offer significant advantages due to their …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 29–34 Read article
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Nanoelectronics, Nanoparticles and Nanotechnology in Treatment of Psychological Disorders
Abstract: Despite significant advancements in neuroscience, our understanding of brain functionality is far from complete, and ongoing research and testing are crucial for expanding our knowledge. With its billions of neurons and sophisticated neural networks, the brain is incredibly complicated, and scientists are always trying to find solutions for these problems. Here are a few reasons why continued research in the field of brain functionality is essential: The human brain is …
Published in International Journal of Environmental Chemistry · Vol. 10, Issue 1, 2024 · pp. 1–18 Read article
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Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
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An Analytical Approach to Calculate the One-Dimensional Drift Velocity in Bubble Columns
Abstract: The design and scale-up of a bubble column reactor require a complete understanding of its complex hydrodynamics, which is influenced by the physical properties of the phases, the operating variables, and the design parameters. Current design procedures for bubble columns involve several steps of pilot-plant experimentation, which is expensive and time-consuming. One of the critical unknown parameters involved in designing any gas-liquid system is the gas holdup. The gas holdup …
Published in International Journal of Chemical Engineering and Processing · Vol. 5, Issue 2, 2019 · pp. 1–9 Read article
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A Study on the Future of Industrial WastewaterTreatment Plant: Trends and Innovations
Abstract: Industrial wastewater treatment plants (IWWTPs) stand at the critical intersection of economic productivity and environmental sustainability. Unlike municipal sources, industrial effluent is characterized by extreme heterogeneity, containing highly variable concentrations of toxic heavy metals, recalcitrant organic compounds, suspended solids, and emerging contaminants. This complexity necessitates bespoke, multistage treatment trains, often combining physical, chemical, and advanced biological methods (e.g., membrane bioreactors, electrochemical oxidation, and anaerobic digestion). This analysis examines the contemporary …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article
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Febrile Seizures in Children: A Comprehensive Overview
Abstract: Febrile seizures, a neurological disorder marked by neuronal hyper-excitability, are frequently seen in children aged three months to five years. They are brought on by an elevated core body temperature during a fever that was brought on by an underlying systemic infection. These infections trigger an inflammatory response in the immune system, which leads to macrophages releasing cytokines. There are two categories for febrile seizures: simple and complex. Given the …
Published in International Journal of Neurological Nursing · Vol. 11, Issue 1, 2025 · pp. 18–21 Read article
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Exploring Watersheds: Assessing Drainage Basin Characteristics and Management Approaches for Channel and Overland Flows
Abstract: Abstract: A watershed also known as a drainage basin or catchment area, constitutes a fundamental hydrological unit encompassing a delineated land surface from which all runoff converges into a common drainage system, channel, or water body. Recognized as vital frameworks for resource assessment and sustainable development planning, watersheds epitomize the intricate interplay between land and water resources, offering optimal synergies for holistic management approaches. This paper embarks on a comprehensive …
Published in International Journal of Landscape Planning and Architecture · Vol. 10, Issue 1, 2024 · pp. 24–34 Read article
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Nyler 3D Wool Technology: Redefining Textiles for a Sustainable and Functional Future
Abstract: Nyler is a 3D wool technology that represents a revolutionary convergence of natural fibers and additive manufacturing. It enables the design and fabrication of complex, seamless, and high-performance textile structures with applications in fashion, architecture, healthcare, and aerospace. With rising concerns about sustainability and waste in the textile industry, wool's renewable, biodegradable, and durable properties position it as a key material for 3D-printed or digitally fabricated textiles of the future. …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 2, 2025 · pp. 1–7 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