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370 articles for “Network analysis”
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IT Security and Intrusion Detection Systems: An Introduction
Abstract: This article deals with the current status of IT security in an industrialized country and one of the many approaches. The emphasis is on what are known as intrusion detection systems. These enable users to detect suspicious behavior and attacks in daily IT operations by analyzing data, resources, and network flows. Based on previous research, the different variants, available detection types, and their working methods are briefly explained and presented. …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 10–17 Read article
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IoT-Enabled Polymer–Gel PCM Composites for Intelligent Thermal Management in Solar Facade Applications
Abstract: The present study investigates the development of a multifunctional polymer–gel phase change composite designed for solar façade applications with integrated real-time thermal monitoring capability. A crosslinked polyvinyl alcohol–borax matrix was employed as a three-dimensional polymer scaffold to encapsulate paraffin-based phase change material, ensuring leakage-free operation and structural integrity under repeated thermal cycling. Graphite nanoplatelets were incorporated as thermally conductive nano-fillers to enhance heat transfer through the polymer composite via percolation-driven …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 99–111 Read article
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Control System for Off-Grid Multiple Hybrid Renewables
Abstract: This article focuses on designing a renewable energy control system for a household self-consumption network, combining solar and hydroelectric energy to meet the energy demand of a standard home. We conducted an exhaustive analysis of each energy source, evaluating parameters such as solar radiation, optimal tilt of photovoltaic panels, and conversion system efficiency. Equipment for this system is selected based on the characteristics obtained in the study. Hydroelectric energy is …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 20–34 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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Fused Deposition Modelling-based 3D Printing: A Systematic Literature Review Employing VOS Viewer
Abstract: Fused Deposition Modelling, also known as FDM, has emerged as a major technology in the field of 3D printing. It provides adaptability and cost-effectiveness in the process of materializing intricate designs. This paper intends to conduct a complete bibliometric analysis (BA) of 3D printing based on fused deposition modelling (FDM) in order to comprehend the trend and research field. After extracting data from the Scopus database using the titles, abstracts, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 197–202 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Harnessing NLP for Automation and Intelligence Across Sectors
Abstract: Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way. From the traditional rule-based approaches to the modern advanced deep learning techniques such as transformers, neural networks, and hybrid models, NLP has been evolving year by year. This study reflects on various applications of NLP, including sentiment analysis, machine translation, analysis …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 23–32 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article
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A Survey on Intrusion Detection in Wireless Sensor Network
Abstract: The Wireless Sensor Networks (WSNs) consist of sensor and vehicle infrastructure deployed either on land or in the sea over a selected acoustic field. Such networks are launched in the execution of joint tasks that include monitoring the environmental conditions and collecting measured data. WSNs operate based on an interactive communication among different nodes and ground stations, which provides for real-time data transmission and analysis. This research work gives a …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 51–56 Read article
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IoT Innovations: Sensors Integration and Communication for Smart Environments Journal
Abstract: In today’s rapidly advancing technological landscape, companies are racing to embrace the transformative concept of the Internet of Things (IoT), merging physical objects with the vast realm of the internet. This integration, facilitated by smart hardware and software, promises a seamless network where objects communicate and actively engage in our daily lives. However, the journey to this interconnected future is not without hurdles. Addressing the myriad challenges from diverse perspectives …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 1–6 Read article
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Molecular Docking, QSAR Modeling, and ADMET Evaluation of Novel Pyrazolo-Pyrimidine Derivatives as Potential CDK-2 Inhibitors for Cancer Therapy
Abstract: Cyclin-dependent kinase-2 (CDK-2) is an essential regulator in cell cycle progression and is an important therapeutic target in cancer drug development. In the present study, an integrated computational approach involving molecular docking studies, QSAR modeling, ADMET prediction, and artificial intelligence-based analysis was used to identify pyrazolo-pyrimidine derivatives as potential CDK-2 inhibitors. Based on the molecular docking results, it was found that selected compounds exhibited high binding affinity towards the ATP …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Electromagnetic Transients in Compensated Power Lines- Revisited: New Approach and Case Studies
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. The resulting currents …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 19–26 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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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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Iot Based Industrial Pollution Monitoring System
Abstract: This paper introduces a robust IoT-based industrial pollution monitoring system aimed at addressing the critical need for effective environmental management in industrial settings. By leveraging sensor networks and real-time data analytics, the system provides continuous monitoring of various pollutants emitted from industrial activities. The integration of IoT devices streamlines data collection, transmission, and analysis, offering timely insights for proactive decision-making. This system not only facilitates compliance with environmental regulations but …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 Read article
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Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
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Analysis of Losses in Geostationary Intersatellite Optical Wireless Communication Links
Abstract: The effective method to create a link between satellites is inter-satellite communication. Data is transmitted from one side to the other via a laser in this groundbreaking method. Optical networks, which offer continuous data transport over vast distances, are networks with high bandwidth efficiency. Inter-satellite optical wireless communication (Is-OWC) is a common method to transfer high-speed data between various satellites in free space. Is-OWC networks have undoubtedly innovated satellite communications …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 1–18 Read article
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A Machine Learning-based Analysis of Climate Change
Abstract: Climatic variations are a pressing global challenge that demands immediate and comprehensive attention. A wealth of articles has been published on climate change mitigation and adaptation, yet there remains a need for innovative methods to explore the complexities of climatic variations and to devise more efficient and effective strategies for adjustment and alleviation. With technological advancements, machine learning (ML) and deep learning (DL) approaches have derived significant popularity across various …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 1–10 Read article