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743 articles for “Network Model”
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Study of PBX and its Subsequent Development in Intercom System
Abstract: A private branch exchange (PBX) is a telephone exchange that serves a particular business or office. It operates as a connection between a private organization - usually a business organization and the public switched telephone network (PSTN). However, the particular development of PBX in its prototype model is both expensive and not feasible. Hence, proposed project work is limited to study of PBX and a suitable prototype model it’s devised …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 1, 2017 · pp. 12–16 Read article
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A Review Study on Occupational Health and Industry Hygiene
Abstract: Occupational health and safety are one of the most important aspects of human concern. Economic, social, technical, and political drivers are fundamentally changing the nature of work and work environments, with profound implications for the field of occupational health. Nevertheless, researchers and practitioners entering the field are largely being trained to assess and control exposures using approaches developed under old models of work and risks. The ideas and evidences discussed …
Published in Journal of Industrial Safety Engineering · Vol. 5, Issue 2, 2018 · pp. 8–13 Read article
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The Electromagnetic Transients in Mixed Power Networks with Partial Undergrounding
Abstract: This paper deals with the electromagnetic transients in partially undergrounded mixed high voltage power networks. These networks can include several cable sections replacing parts of the overhead transmission lines. The analysis yields the transient voltage and current distributions along the normal and the partially undergrounded lines. Moreover, the results can indicate eventually existing localized voltage and current concentrations within the network. The study suggests an exact direct analytical distributed parameter …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 2, 2017 · pp. 1–13 Read article
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Novel Laplace-domain Approach to the Electromagnetic Transients in Compensated High Voltage Power Lines
Abstract: This paper addresses the simulation of the electromagnetic transients developed in high voltage power lines, which are initiated by lightning discharges. The analysis can handle both individual and simultaneous series inductive and shunt capacitive compensation types. The sizes and locations of the compensating elements are included in the analysis. The derived Laplace s-domain mathematical model applies the concept of the ABCD transmission constants representing equivalent two-port networks. Applying the relations …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 15–21 Read article
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Design of Beam using Artificial Neural Network based Approach
Abstract: Recent developments in artificial neural network (ANN) have opened up new possibilities in the field of structural engineering. This paper demonstrates the applicability of ANN for the design of beams subjected to moment and shear. An attempt has been made to capture the mapping between the design variables using ANN. There is no direct method for design of beams. A feed forward network and back propagation training algorithm has been …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 1–6 Read article
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Reviewing Threat Detection Methods in SaaS Platforms Through the Use of Adaptive Cloud Security Models
Abstract: Software as a Service (SaaS) solution has revolutionized the contemporary business processes as scalable and service-on-demand solution on cloud networks. Yet, this expansion has brought in sophisticated cybersecurity risks because of a multi-tenant environment facing the internet in the SaaS environment. The key to assure the service availability and protection of the data stored off-site is effective threat detection in such dynamic ecosystems. This review article seeks to discuss the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Smart Pothole Reporting Based on Deep-Learning
Abstract: In India, due to rage of rains and poor-quality construction the Indian state governments are facing the pothole and cracked road issues. The government is not able to assist faster to the people due to poor communication between people and govt. So, there exists a system which uses convolutional neural network (CNN) to detect the potholes. The peculiarity of this system is that it will process the pothole image reported …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 3, 2020 · pp. 21–27 Read article
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Performance Investigation of OLSR and AODV Routing Protocols for 3 D FANET Environment using NS3
Abstract: Flying Ad Hoc Network is the most suitable and most emerging research topic in the field of wireless communication. Flying ad-hoc network (FANET) is a special class of MANET that provides the communication among small flying drone called UAVs (unmanned aerial vehicle) enable with camera, sensor and communication system. FANET has wide area of applications like reconnaissance and surveillance for military and civil purposes. FANETs along with its special features …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 1–10 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Fabrication of Polydimethylsiloxane Composites with Nickel Nanoparticles: Unification and Current–Voltage Relationship
Abstract: Polydimethylsiloxane (PDMS)–nickel nanoparticle (NiNPs) nanocomposite films were fabricated and systematically investigated to understand their electrical transport behavior through current–voltage (I–V) characterization. Nanocomposite films with varying Ni nanoparticle filler concentrations (14.88 wt%, 15.77 wt%, and 16.65 wt%) were prepared using a solution-mixing and spin-coating technique, followed by controlled thermal curing. The electrical properties of both pristine PDMS and PDMS– NiNPs nanocomposites were examined over a wide voltage range (up to 800 …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 1, 2026 · pp. 22–29 Read article
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AI-Based Cybersecurity Framework for Protecting Smart Surveillance Infrastructure in Mumbai
Abstract: Smart city infrastructures increasingly rely on interconnected surveillance systems to ensure safety, operational efficiency, and public trust. However, the rapid expansion of IoT-based monitoring technologies has introduced new cyber risks, especially in high-density metropolitan areas. This paper proposes an AI-driven cyber resilience framework targeting smart surveillance infrastructure as a critical smart-living domain, focusing on Mumbai as a case study. Using the CIC-IDS2017 dataset, a machine learning-based intrusion detection model is …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Using Analytical Network Process to Find Priorities Weights of Contractors Pre-Qualification
Abstract: The chosen of construction contractors were one of the most important activate of owners. Without a right and fitted ways for chosen the most suitable contractors the execution of construction project will be influenced via multi-criteria decisions making (MCDM) was proposed to an applicable way for contractor choice. For finish decisions problems, the analytic network process (ANP) is large recommendation therefore; ANP lets inter-dependent affected specify in the model. researcher …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 88–93 Read article
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Design of Microsmart Grid Fuzzy Controlled Model for Sustainable Power Supply in Rural India
Abstract: India is facing acute shortage of electricity especially in rural sectors due to shrinking of conventional grid supply. The expansion of grid network has become almost standstill due to depletion of raw material (i.e., fuel, coal, etc.) day by day. As a result, the sustainability of utility (grid) power supply to rural houses has become poor. In this paper, a fuzzy control-based microsmart grid model has been proposed and developed …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 1, 2015 · pp. 8–13 Read article
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Appliance Scheduling Optimization For Demand Response Using Schedulling Algorithm
Abstract: The exploration concentrates on the test of the power utilization the board in keen networks. It centers around various effects of interest reaction running in the savvy matrix connecting with buyers to take part. The principle obligation of the interest reaction framework is planning the activity of machines of customers to accomplish an organization wide advanced execution. Each taking an interest power purchaser, who claims a bunch of home machines, …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 2, 2021 · pp. 10–16 Read article
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Wind Forecasting Using Various Neural Networks in Machine Learning
Abstract: Wind Power Forecasting, as the name applies is a process in which data of past is used to tell what kind of output can be expected from a wind turbine in the foreseeable future. Machine learning, can be said to be a derivation of artificial intelligence that makes it possible for the system to learn automatically and improve upon itself from faults, without needing to tell the system to do …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 32–43 Read article