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359 articles for “Complex Network”
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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Modelling Electronic Diode Networks with PSPICE Simulation
Abstract: The dual of Thevenin, Norton equivalent circuit is used in place of any circuit/network of linear sources and immittances at at a given frequency. Both Thevenin with Norton theorem is useful for analyses and modification of circuits, to study /obtain network’s steady state response and initial condition. Methods to represent different circuits with Thevenin/Norton impedances connected at desired nodes are given using Spice/Pspice. The Thevenin/Norton impedances connected are of other …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 17–37 Read article
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Thevenin Impedance Networks for Spice Simulation Using Analog Behavioural Modelling
Abstract: PSPICE/OrCAD software analog behavioral modeling (FREQ) option is used to obtain equivalent circuits for Thevenin equivalent resistance to be used for three types of applications for different circuits (other different networks with these Thevenin models at DC), and Spice files are described to simulation circuits with AC analyses. Three different applications are useful in linear integrated circuits using DC Thevenin resistance of two networks are considered. Firstly, the DC Thevenin …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 39–46 Read article
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Analysis of Wireless Tactical Network (WTN)
Abstract: AbstractIn the present paper the goal of the WTN program was to develop an adaptive networking capability that dramatically improved performance and reduced communication failures in complex communication networks. The past decades have witnessed advances in computing and communication technologies. Faster, smaller and more reliable devices enable communications with rapid, efficient information dissemination between mobile. These advantages are on demand setup, fault tolerance, node’s increased mobility, self-organizing connectivity, adaptive, scalable …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 3, 2019 · pp. 31–37 Read article
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Security of Software Defined Network
Abstract: Software Defined Networking (SDN) might be a particular methodology that allows the system to be brilliantly and midway controlled, or 'modified,' utilizing programming applications. Software Defined networks technology can help to run on-demand applications for satisfying today’s business needs that is the reason for its extensive use in mostly data center .Software defined network, i.e. SDN provides clear view of whole network architecture to the network administrator. It isolates the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–5 Read article
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A Novel Approach of Traffic Management in Software Defined Networking Using Internal Controller
Abstract: The complex structure of the current computer networks causes problems in network scalability and management and makes it hard and time-consuming to implement general policies. A new architecture called Software Defined Network (SDN) has been developed to address these problems and challenges. One of the most important issues in SDNs is traffic engineering, which is a good criterion for network performance evaluation. After introducing SDNs and examining traffic engineering and …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 22–31 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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Collision Avoidance Using Li-Fi Based Inter Vehicle Communication
Abstract: Most countries in the world have an alarming record in number of death/disability due to tremendous number of accidents. Even though road transport in India is very prevalent for various reasons, the rate of road-accidents and fatality in the country is very high. Accidents occur due to the unawareness of the public regarding the same. Researchers have observed that majority of the accidents where solely due to factors involving the …
Published in Journal Of Network security · Vol. 6, Issue 2, 2018 · pp. 22–26 Read article
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Emerging Trends in 5G and Beyond-5G Wireless Networks
Abstract: Wireless networks have evolved in the blink of an eye from 4G to 5G and are progressing towards beyond-5G (B5G) frameworks, leading to revolutionary changes in connectivity, speed, and network smarts. This review discusses trending features, challenges, and future trends of 5G and B5G wireless communications technologies. It presents chief goals of 5G, such as ultra-low latency, high spectral efficiency, massive machine-type communication, and up to 10 Gbps user data …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 11–19 Read article
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Machine Learning Approaches for Intelligent Network Traffic Management in 6G
Abstract: The increasing adoption of smart devices, Internet of Things (IoT) technologies, cloud-based services, autonomous applications, and multimedia platforms has greatly enhanced the demands and complexity of modern wireless communication networks. To meet these evolving requirements, upcoming sixth-generation (6G) communication systems are anticipated to deliver extremely high data transmission speeds, support a vast number of connected devices, ensure minimal communication delays, enable intelligent network management, and provide seamless real-time connectivity for …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 19–32 Read article
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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Marine Microbial Ecology: A Comprehensive Review of Interactions, Symbiosis, and Bioprospecting.
Abstract: Marine microorganisms constitute the largest and most dynamic fraction of Earth's biodiversity, governing vital ecosystem functions ranging from global biogeochemical cycling to host-specific symbiotic associations. This review provides a comprehensive synthesis of the complex interaction networks within marine microbial communities. We first explore the theoretical foundations of microbial niche construction and evolutionary dynamics in the ocean. Subsequent sections dissect micro-scale interactions within the phycosphere, where chemical gradients dictate cross-kingdom mutualisms …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 6–16 Read article
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Comparative Study of Fault Tolerance Schemes in Internet of Things
Abstract: AbstractInternet of Things (IoT) is an emerging technology that has been used throughout the world. IoT has brought a revolution within the world of communication and knowledge industry as well. Effective deployment of IoT requires various issues to be addressed which include reliability, fault tolerance, security, privacy, power consumption, network connectivity, complexity, and flexibility. Reliability and fault tolerance is taken into account together of the main aspects of IoT applications. …
Published in Current Trends in Information Technology · Vol. 10, Issue 3, 2020 · pp. 14–20 Read article
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Immunology and Immunotherapy of Pulmonary adenocarcinoma: A Systematic Review
Abstract: Lung cancer is the world's second leading cause of death, with an estimated 9.6 million deaths in 2018. Approximately 80% of all lung cancer is caused by non-small cell lung cancer (NSCLC). Due to lack of early detection and treatment, the incidence rate of lung cancer prognosis remains low. CD4+T-lymphocytes, macrophages, dendritic cells, and natural killer cells are among the immune cells involved in the pathogenesis of lung cancer. The …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 2, 2022 · pp. 15–25 Read article
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Evaluation of Coefficient of Performance of Water– Carrol Vapor Absorption Refrigeration System Using Artificial Neural Network approach
Abstract: Normal 0 false false false EN-US X-NONE X-NONE The aim of this work is to apply expert system methods, like artificial neural network (ANN), for evaluating the coefficient of performance (COP) of water-carrol (lithium bromide-ethylene glycol)-based vapor absorption refrigeration system. Theoretical performance analysis of vapor absorption refrigeration system is too complex since very tedious second-order mathematical differential equations are used. In order to simplify this complex process, artificial neural networks …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 3, 2012 · pp. 29–37 Read article
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Leveraging Generative AI for Test Case Creation in Complex Systems
Abstract: Modern software systems exhibit increasing complexity, demanding sophisticated testing methodologies to ensure reliability and functionality. Traditional manual testing approaches often struggle to keep pace with this complexity, leading to inadequate test coverage and increased risk of unforeseen issues. This study explores the potential of Generative AI (GAI) in revolutionizing test case creation for complex systems. We delve into the practical application of GAI techniques, such as Variational Autoencoders (VAEs) and …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 16–22 Read article
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Handwritten Sanskrit Word Recognition: A Deep Learning Approach Using AlexNet
Abstract: Handwritten Sanskrit word recognition poses significant challenges due to the intricate structure of the script and the considerable variations in handwriting across individuals. To address these challenges, this research introduces a novel methodology employing transfer learning with the AlexNet convolutional neural network. The study utilized two distinct datasets: a specifically curated Sanskrit word image dataset containing 2616 samples, alongside a broader Devanagari character dataset used for validation purposes. The established …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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LTE-WI-FI Aggregation in SDN Using Direct Concurrent Bandwidth Aggregation Model
Abstract: In recent years, networks are loaded with heavy traffics due to increased online demands with diverse levels of QoSs (quality of services) required by customers resulting in complex challenges for network service operators. Significant increases in mobile data traffics using WiFi technologies use a concept called WiFi offloading which render only fifty percent of the traffic. These help in reducing network loads of cellular networks with optimal choices. Therefore, the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 18–24 Read article
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Nonlinear Semiconductor Device Modeling using Neural Networks
Abstract: This paper describes the nonlinear semiconductor (transistor) of small and large signal modeling using a single neural network. Multilayer perceptron (MLP) with back-propagation (BP) learning is adopted in this work to model the drain current (ID) and the transconductance (gm) of the transistor. MLP modeling performance in terms of mean square error (MSE) and complexity of the network are illustrated briefly. Artificial neural network (ANN) model outcome for nonlinear function …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 3, 2014 · pp. 1–6 Read article