Search
742 articles for “Network Model”
-
ML Associated DoS and DDoS Attack Observation in Protection
Abstract: DoS and DDoS assaults are significant risks to the availability and integrity of online services and networks. Attack traffic might come from a variety of geographical regions, making it difficult to filter and neutralize the attack. DDoS attacks are far more sophisticated and powerful than DoS attacks. They use a network of compromised devices, known as a botnet, to launch a coordinated attack on a target. Monitoring and evaluating the …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 18–26 Read article
-
Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
-
Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
-
Optimal Location of IPFC based on Installation Cost in a Power System Network using ABC Algorithm
Abstract: This paper presents a methodology for locating the optimal position of Interline Power Flow Controller (IPFC) in a power system network based on installation cost. The proposed methodology uses both conventional and non conventional optimization tools such as LR and ABC, respectively. This methodology is formulated mathematically based on installation cost of the FACTS device and generation cost of the real power. IPFC is modeled using Power Injection (PI) model …
Published in Trends in Electrical Engineering · Vol. 2, Issue 1-2-3, 2012 · pp. 11–30 Read article
-
Introducing New Operating Systems for Computer
Abstract: This study introduces new operating systems (OS) designed to meet the evolving demands of modern computing environments. As technology progresses, the limitations of traditional operating systems in terms of efficiency, security, and scalability have become evident. The proposed new OS models aim to address these challenges by incorporating advanced features such as optimized resource management, enhanced security protocols, and improved user interfaces. Additionally, these systems leverage emerging technologies like artificial …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 37–47 Read article
-
Development of Game Theory Strategy for Estimating Mobility Variety in Approaching Wireless Networks
Abstract: Game theory designed with a set of structured tools with an evaluation tool for the tedious interaction among logical players. This theory approaches for analyzing of communication networks, which functions with autonomous structured networks and the designed network devices can take rational decisions according to network congestion. The proposed structure consists of mixture frame for channel allocation for random probability for accessing channel. The main objective of this work is …
Published in Recent Trends in Electronics Communication Systems Read article
-
An Integrated Satellite and Underwater IoT Framework for Real-Time Oceanic Disaster Monitoring and Resilient Communication
Abstract: Ocean-based environmental disasters such as tsunamis and underwater earthquakes pose significant risks to human life, coastal infrastructure, and regional stability. However, traditional communication networks often collapse during such events, leading to delayed alerts and uncoordinated response efforts. This study presents an integrated framework that combines underwater Internet of Things (IoT) systems with satellite communication technologies to enable real-time oceanic disaster monitoring and reliable emergency communication. The system connects underwater sensor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
-
SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
-
A Reliable Routing Architecture and Algorithm for Network-on-Chip
Abstract: The Network-on-Chip (NoC) is Network-version of System-on-Chip (SoC) means that on-chip communication through packet based networks. In NOC topology, routing algorithm and switching are main terminology. The routing algorithm is one of the key factors in NoC architecture. The routing algorithm which defines as the path taken by a packet between the source and the destination. The paper proposes a novel algorithm for a Network-on-Chip, which is based on packet …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 3, 2015 · pp. 40–48 Read article
-
Study of 5G Technology and its impacts - Review
Abstract: Digitization is an ongoing revolution in the manufacturing industry. 5G technology is expected to play an important role in providing connectivity. Digitized factories place high demands on technical availability and therefore also on maintenance performance. However, it is difficult to incentivize senior decision makers to invest in maintenance, as impacts are often delayed and difficult to verify upstream. To quantify long-term effects, discrete event simulation (DES) has been identified as …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 · pp. 40–50 Read article
-
Face Mask Detection Alert System
Abstract: The COVID-19 coronavirus epidemic is widely spreading around the world, which is why wearing face masks in public is becoming more popular. Since the WHO has made wearing masks mandatory to prevent this deadly virus, wearing face masks regularly is an essential measure until the virus is completely eradicated. Several preventive measures are being considered to decrease the spread of disease and one of them is wearing masks in crowded …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 25–31 Read article
-
IoT and ML Solution to Allergic Rhinitis
Abstract: In this project a preventive rehabilitation is proposed for allergy patients using neural networks, IoT and the newly emerged blockchain technology. A wearable device which senses temperature, humidity and the AQI of the patients surroundings continuously keeps track of these parameters and through cloud computing the chances of an allergy to happen is predicted and the output is then sent back to the device, which in turn either warns the …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 25–34 Read article
-
An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
-
Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
-
Blockchain Enabled Security Framework: Smart Healthcare
Abstract: To explores the transformative potential of blockchain technology in managing, securing, and ensuring the integrity of Electronic Health Records (EHRs). EHRs, which store vital patient information such as medical histories, diagnoses, prescriptions, and imaging results, are essential for enhancing healthcare delivery. Conventional centralized Electronic Health Record (EHR) systems encounter issues such as susceptibility to single points of failure, security risks, and constraints in maintaining data integrity. By leveraging blockchain’s inherent …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 11–17 Read article
-
Machine Learning-based Peer-to-Peer Platform for Precision Agriculture in Crop Growth and Disease Monitoring
Abstract: Farmer suicides are a significant problem in India due to various circumstances. One of the main problems is the financial side of managing and growing crops while still trying to make a profit. This study proposes a decentralized platform for buying and selling agricultural produce by connecting farmers with individuals interested in investing in their fields and continuous monitoring of quality and crop health using IoT, Blockchain, and Machine Learning …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 26–39 Read article
-
Utilizing Machine Learning to Combat Plant Disease
Abstract: Plant diseases are a significant source of lost income and time for the agricultural industry. Accurately diagnosing an illness requires a high level of experience and dedication. Symptoms of plant diseases, such as spots or streaks of a different colour, are sometimes visible on the leaves of infected plants. Many fungal, bacterial, and viral organisms may also cause illness in plants. The indications and symptoms of a plant disease are …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 20–28 Read article
-
Numerical Modelling and Simulation of Improved Partial Transmit Sequence for PAPR Reduction in OFDM Communication System
Abstract: Channel capacity and peak average to power ratio are essential elements in offering dependable communication through wireless medium in this competing wireless communication system. The rating of an amplifier in an OFDM system, as well as prospective future candidates of 5G systems such as FBMC and UFMC, is affected by a high peak to average power ratio. The demand for channel capacity fluctuates due to the growing number of wireless …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 · pp. 33–39 Read article
-
AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
-
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