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557 articles for “Networks”
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Efficient Tracking of Mobile Objects in Wireless Sensor Network Using BFOA
Abstract: Wireless Sensor Network has the probability to interface the physical world with the virtual world by framing a system of sensor hubs. Energy effective object tracking is one of the fundamental plan issues for wireless sensor systems. Vitality proficiency is required as the entire WSN is reliant on the force of batteries and the object tracking is required for checking the shifting rate of target, target exactness and missing target …
Published in International Journal of Microwave Engineering and Technology · Vol. 2, Issue 2, 2016 · pp. 22–27 Read article
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RSA Using Cost Function with Different Weights of Cos, Frequency Slot and Pathlength Factors in Elastic Optical Networks
Abstract: The Internet has now become a need for living in today’s world. Most people are now dependent on the internet. Some people use the internet for their business and professional works, while some use it for entertainment purposes. It can be noticed that the use of the internet is high during office hours.Hence, traffic demand is highduring thistime.So, the work which requires immediate service at that time may get delayed. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 24–32 Read article
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Integrative Network Pharmacology and Molecular Docking Analysis Reveals Potent Inhibition of Ovarian Cancer-Associated Proteins by Curcuma Longa Derivatives
Abstract: Objectives: A network pharmacology approach and molecular docking study were employed to explore how the active ingredients of Curcuma longa interact with protein targets associated with ovarian cancer. The objective was to explore the mechanism of action of these active ingredients. Methods: In this study, a total of 14 derivatives of Curcuma longa were selected to evaluate their binding affinity with specific target proteins (HLA, CDK-41, EGFR, Tumor suppressor p53 …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 1, 2023 · pp. 45–67 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Development of Empirical Relationships Between Input and Output Parameters of Sponge Iron Process Using Neural Network
Abstract: In the present study, estimation of optimum input parameters corresponding to desired output parameters is carried out for a typical sponge iron process. For this purpose data of rotary kiln of the process are collected. It includes temperatures profiles inside the rotary kiln and flow rates of air, iron ore, feed coal, slinger coal and sponge iron. These data are analysed using ANN and group method of data handling (GMDH) …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 1, Issue 2, 2015 · pp. 6–19 Read article
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AI for Social Networks: Applying Innovative Algorithm to Reach Mob
Abstract: The power of “Artificial Intelligence (AI)” can be applied to a number of platforms, including social media platforms like "Facebook" and "LinkedIn," which uses AI to understand human datasets in pools. Up to 3 billion people use social media around the world to create data in as many ways as possible. This is where AI comes in to manage the true value of vast data. In this virtual era of …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 24–32 Read article
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Comparative Analysis of Spectrum Sensing Technique in Cognitive Radio Network
Abstract: Cognitive Radio enhances the utilization of unused spectrum and globalized the radio environment for different band users that make use of various spectrum sensing techniques for transmission spectrum which involves spectrum usage characteristics across multiple dimensions such as time, space, frequency, and code and determining what type of signals are occupying the spectrum. In this project, cognitive radio spectrum sensing techniques are analyzed and Receiver operating characteristics of “Energy detection”, …
Published in International Journal of Broadband Cellular Communication · Vol. 3, Issue 1, 2017 · pp. 20–28 Read article
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An Overview of Spectrum Sensing Techniques in Cognitive Radio Network
Abstract: Cognitive Radio enhances the utilization of unused spectrum and globalized the radio environment for different band users that make use of several spectrum sensing techniques for transmission spectrum which includes spectrum usage characteristics across multiple dimensions such as frequency, space, time and code and determining what type of signals are occupying the spectrum. The existing works in spectrum sensing are reviewed, and important issues in dynamic spectrum allocation and sharing …
Published in International Journal of Broadband Cellular Communication · Vol. 3, Issue 1, 2017 · pp. 29–33 Read article
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Power Quality Enhancement in a Distribution Network using allocation of D-STATCOM
Abstract: Modern power clients are getting truly caring with respect to the norm of the power, that will be conveyed to it. Speedy enhancements in current time are upgrading the office quality concerns. As we realize that with time not just the interest of amount of force has expanded yet in addition the nature of the force is worried by customers and the utilities, and the explanation being the rising necessity …
Published in International Journal of Electrical Power System and Technology · Vol. 7, Issue 1, 2021 · pp. 34–42 Read article
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Application of Wireless Sensor Network in Water Quality Monitoring
Abstract: One of the most important resources for human well-being and a major factor in a nation's socioeconomic development is water. In addition to being necessary for human survival and that of all other living things, water is also essential for industrialization and agriculture. The total amount of water on Earth is constant and sufficient to supply all of civilization's needs, yet global supplies of drinkable water are running out quickly. …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 48–24 Read article
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Artificial Neural Networks based Four-Leg Matrix Converter for Linear and Non-Linear Load
Abstract: The 4-leg matrix converter, which it is capable of providing a 3-phase plus neutral supply from a standard balanced 3-phase source . Tralatitious 3x3 matrix converters deliver bounded use in this application as they are only capable of supplying a poised three-phase payload. It would be suitable to be able to power unbalanced and nonlinear loads ,requiring that the converter provides a neutral connection .This goal can be achieved by …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 45–53 Read article
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Congestion Control in WDM Networks
Abstract: Because of enormous transmission of information through optical strands, congestion happened routinely and it turned into a major bottleneck to the stream of information in any procedure. Numerous techniques are there to keep away from congestion however those systems for the most part include colossal expense connected with quality certification. These systems are relevant to the zone which is rich in base and assets, however these procedures are extremely hard …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 2, Issue 2, 2016 · pp. 1–5 Read article
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A Novel Approach for Text Sentimental Analysis in Social Network
Abstract: This study provides an overview and examine the sentimental analysis of twitter data. Sentiment analysis is one of the fastest growing research area in computer science, making it challenging to keep track of all the activities in the area. In this study, we explore the effect of applying sophisticated negation scope detection to twitter sentiment analysis. Sentimental analysis refers to the task of natural language processing to determine whether a …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 4, Issue 1, 2018 · pp. 10–15 Read article
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Securing Internet-of-Things Data in a Healthcare Surveillance Network with a Hybrid Encryption Algorithm
Abstract: IoT-based healthcare solutions are used for remote healthmonitoring and diagnostics to minimize the cost of health careservices. Secure data communication is crucial for treatmentand monitoring. Furthermore, it is vital to safeguard thepatient's information from abuse and data manipulation whileit is in transit because other devices can easily trace it. IoTnetworks have limited CPU capability, memory, and power,making performing the expensive operations required byciphering algorithms challenging. As a result, they require …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 25–35 Read article
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The Cellphone Communication Crisis: Lost Signals, Dropped Calls
Abstract: Cellular communication is becoming an important feature of modern life offering immediate connectivity for personal, commercial and emergency communications. But poor network performance, lost calls, weak signals and limited coverage continue to be serious concerns for users around the world. The essay addresses the emerging crisis in cellular communication by assessing the main reasons for connectivity problems, such as network congestion, inadequate infrastructure, geographical obstacles, and technology constraints. The rapid …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 49–53 Read article
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Hybrid Machine Learning Model for EfficientBotnet Attack Detection in IoT Environment
Abstract: The rapid advancement and widespread adoption of internet technologies have led to a surge in cyber-attacks, with botnet attacks emerging as particularly detrimental. Identifying botnet activities is increasingly challenging due to the diverse attack vectors and the evolving nature of malware. As the Internet of Things (IoT) continues to expand, network devices become more vulnerable to these sophisticated attacks, resulting in significant security breaches and financial losses. In order to …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 31–38 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Router DHCP Configuration with Packet Tracer
Abstract: A protocol used at the application layer is called Dynamic Host Configuration Protocol (DHCP Using a client-server network architecture, Dynamic Host Configuration Protocol (DHCP) is a type of network administrative protocol utilised on IP networks to dynamically allocate IP addresses as well as additional communication features to all attached devices. A network-based DHCP server is a programme that is strategically installed and client implementations of the procedure architecture on every …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 2, 2022 · pp. 28–34 Read article
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The Implementation of Machine Learning in the Search to Fight Plant Disease
Abstract: The agriculture business loses money and time due to plant diseases. Diagnosing disease accurately takes skill and devotion. Infected plants may have spots or streaks of a different color on their leaves. Several fungal, bacterial, and viral species can also infect plants. Individual plant disease signs and indications are assessed. Neural network applications are growing. Recent research studies have determined how well machine learning reviews traditional plant disease diagnosis methods. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 25–34 Read article
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TCP Security Action Prediction Algorithm based on Machine Learning: A Review
Abstract: The growing range of applications available on the Internet and continuous technological improvements have led to an increase in network security incidents and cyber-attacks. Consequently, computer network security is becoming more and more important. Network security can be allowed or prohibited by a TCP firewall; a device used for computer network security. When utilising classic firewalls, network managers must periodically choose which packets to admit and prohibit to keep computer …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 1, 2023 · pp. 21–26 Read article