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557 articles for “Networks”
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Automated IP Address Allocation and Recovery Using DHCP: Implementation Strategies
Abstract: The term for Dynamic Host Configuration Protocol is DHCP. It is an application layer protocol that servers use to learn about the network configuration. A DHCP server, under the supervision of the DHCP protocol, manages the dynamic distribution of network configuration elements like IP addresses, subnet masks, and gateway addresses. Without DHCP, a network administrator would have to take extra time and make uncomfortable efforts to manually send such parameters …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 38–45 Read article
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Enhancing Telemedicine Services in Disaster Recovery Operations with Sustainable Communication Infrastructure
Abstract: This paper tackles the complex challenge of ensuring reliable telemedicine services in disaster zones by proposing a self-sustaining Disaster Recovery Network (DRN) infrastructure. We present a blend of innovative methods and algorithms to overcome logistical hurdles in establishing an eco-friendly DRN. Our work delves deep into the system's inner workings, pinpointing key performance indicators and measuring its effectiveness. A central theme is the seamless integration of diverse reliability approaches. In …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 43–59 Read article
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Short-Term Load Forecasting By Using ANN
Abstract: Load forecasting play an impartment role in power system planning, operation and control. Short-term load forecasting is an important basis of the secure and economic operation in power systems. Accurate load forecasting is helpful to improve the security and economic effect of power systems and can reduce the cost of generation. Therefore, finding an appropriate load forecasting method to improve accuracy of forecasting has important application value. This paper explains …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 1, 2015 · pp. 31–36 Read article
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Cluster Head Selection to Improve in Energy Consumption in WSN Using Fuzzy Logic
Abstract: Abstract— within the recent years, technological advances and therefore the telecommunications business, electrical and electronic small parts, resulting in structure of very little and comparatively economical sensors that relate to every different through wireless communication. one in all the vital problems in these networks is increasing the network time period. There square measure variety of protocols and algorithms for transferring knowledge packets from a node to the bottom station. one …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 35–43 Read article
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Using LapSRN (Image Resolution Deep Learning Model) with Transfer Learning
Abstract: In order to create high-resolution photographs, Super Resolution (SR) tries to transform low-resolution photos. SR methods can be categorized into two categories: Single Image Super Resolution (SISR) and Video Super Resolution (VSR). SISR initially needs to upscale low-resolution photos to high-definition images. VSR, which stands for "image super resolution," is used to transform low-quality videos into ones with higher resolution. Deep learning techniques use Convolutional Neural Networks (CNN), a special …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 18–24 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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Grid Integrated Electric Vehicle Charging withSeamless Power Exchange
Abstract: Abstract— To soar new miles the global mobility sector is considered ready for decarbonization by adopting technologies to improve efficiency, cost effectiveness and charging flexibility. Integration of electric vehicles (EVs) in mobility sector demands charging infrastructure which shall be cost-effective, reliable and supports charging in effective manner. Existing grid face challenges during power exchange and also requires technological innovations in developing future EVs charging network. Future charging networks must be …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Enhancing 6G Communication with Full Duplex andDuplexing Aware Cellular Access
Abstract: With the need for fast and dependable wireless communication increasing, 6G networks are anticipated to transform connectivity through ultra-low latency, enhanced data rates, and better spectral efficiency. A major development in 6G is the incorporation of Full Duplex (FD) communication, enabling devices to send and receive data at the same time, which effectively doubles spectral efficiency. The implementation of a Massive MIMO-based 6G communication system with Full Duplex (FD) and …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 34–42 Read article
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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 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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Application of Jaya and PSO Algorithms for Optimal Sizing of Renewable Energy Sources in Power Systems
Abstract: The deregulation and privatization of the electrical sectors in recent years have caused the distribution systems to run closer to their load capacity limit. Due to the increased power loss resulting from this, the distribution system now operates at a higher voltage than the current transmission networks. For electric power system networks to be more reliable, efficient, and cost-effective, distributed generation must be positioned and sized optimally. Allocation helps minimize …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Solar Cell Powered Sensors for Iot Applications
Abstract: The Internet of Things (IoT) is one of the most revolutions in a number of industries, where the devices are interconnected to collect, analyze, and act on data in real-time. This network of smart devices is transforming how we live, work, and interact with our environment. The key components of IoT include sensors, communication networks, data processing units, and actuators. Sensors collect real-time data from the environment, which is then …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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A Survey on Recent Progress in Transmission Congestion Management
Abstract: After deregulating their electrical sectors recently, a number of nations, including Chile, Peru, the United States, the United Kingdom, the European Union, Canada, Colombia, New Zealand, Scandinavia, and Australia, replaced their once-monolithic public utilities with competitive power markets. The electricity industry has been changing around the world over the last few decades, and as a result, network congestion is unavoidable. Market failure, transmission capacity limitations violations, and excessive energy prices, …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 14–29 Read article