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69 articles for “Network Analysis”
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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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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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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Spatiotemporal Dynamics of 100 Coupled Lorenz Oscillators: A Comprehensive Analysis of Chaotic Pattern Formation
Abstract: Chaotic Lorenz systems that interact with one another, resulting in the generation of complex space-time patterns that evolve over time. This comprehensive analysis presents a detailed investigation of spatiotemporal chaos in a network of 100 coupled Lorenz oscillators, revealing the complex interplay between individual chaotic dynamics and collective behavior in nonlinear dynamical systems. Through numerical simulation and extensive analysis, we examine how coupling transforms individual butterfly attractors into rich spatiotemporal …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Stability Analysis of Type-III Wind Turbine Systems Using Radial Basis Function Networks (RBFNs)
Abstract: To accomplish power smoothing, contemporary controllers like adaptive and predictive controllers are used on both the machine and grid sides. Effective machine-side torque control requires robust technologies. Under order to maintain stable performance under nonlinear circumstances, this work employs the sliding mode control technique to control the pitch angle during disturbances. Even in situations where wind conditions fluctuate, the sliding mode control approach optimizes wind power generation by effectively resolving …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 · pp. 25–42 Read article
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Performance Study of AODV, OLSR, and DSDV Routing Protocols in Mobile AD HOC Networks
Abstract: This study presents a performance evaluation of three prominent routing protocols in mobile ad hoc network: ad-hoc on-demand distance vector, optimized link state routing, and destination-sequenced distance vector. Efficient routing protocols are required to be sustained in dependable communication in mobile ad hoc network due to the dynamic and decentralized nature of the network. Ad hoc on-demand distance vector belongs to the reactive protocol category that creates routes on demand; …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 38–60 Read article
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–33 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 30–34 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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A Study of Delta Modulation Techniques for Bandwidth- Efficient Signal Transmission
Abstract: Delta modulation is an important signal processing technique widely used in digital communication systems for efficient analog-to-digital signal conversion and bandwidth reduction. With the increasing demand for high-speed and low-complexity communication systems, bandwidth-efficient transmission methods have become essential in modern telecommunication networks. This study presents a comprehensive analysis of delta modulation techniques and their role in improving signal transmission efficiency in digital communication environments. The paper examines the operating principles …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 31–43 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Abstract: Traffic jam and safety at the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It is capable of identifying and differentiating the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Intelligent Communication Networks for Telematics and Telemetry Applications: A Comprehensive Review
Abstract: Intelligent communication networks have become a fundamental component of modern telematics and telemetry systems, enabling reliable, real-time, and data-driven communication across various industrial, transportation, healthcare, and environmental monitoring applications. The rapid growth of wireless communication technologies, Internet of Things (IoT) devices, cloud computing, and artificial intelligence has significantly enhanced the efficiency, scalability, and adaptability of telematics and telemetry infrastructures. This review paper presents a comprehensive analysis of recent developments in …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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Evaluating the Impact of Intelligent Traffic Management Systems on Urban Congestion and Emission Levels
Abstract: AbstractUrban congestion and vehicle emissions represent critical challenges in densely populated citiesworldwide, posing risks to both travel efficiency and environmental health. As urbanizationintensifies, traditional traffic management approaches often fall short of alleviating congestion,resulting in longer commute times, increased fuel consumption, and higher pollutant emissions. Thisstudy evaluates the effectiveness of Intelligent Traffic Management Systems (ITMS), an advancedapproach leveraging adaptive traffic control technologies, in reducing both congestion and emissions.Through a combination of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 15–19 Read article
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Structural Analysis and Design Considerations for Flyover Bridges
Abstract: AbstractBridges serve as essential components of transportation networks, facilitating the movement of vehiclesand pedestrians across obstacles, such as rivers, valleys, and roads. The stability of a bridge largelydepends on the strength and structural capacity of its deck slab. The deck slab must endure both its ownweight and the additional loads imposed by vehicles. A key aspect of bridge design is assessing theflexural stress acting on the deck slab to determine …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 1–17 Read article