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334 articles for “Network measures”
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1258–1284 Read article
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Integration of AI and Machine Learning in Smart Environment Monitoring Systems
Abstract: The Internet of Things (IoT) plays an important role in our lives. Many real-time changes in logistics environment monitoring and location tracking can be measured using IoT. It uses a wireless sensor network to monitor important changes in the environment. In this article a comparative review study has been performed in which one side wireless sensor network is integrated with IoT only while on the other side wireless sensor network …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 13–19 Read article
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Design and Implementation of an Energy-Efficient Wireless Sensor Network for Remote Monitoring
Abstract: Applications such as industrial automation, environmental monitoring, and agriculture make extensive use of wireless sensor networks, or WSNs. Since sensor nodes frequently operate in remote locations and have limited battery power, energy efficiency is the largest problem in WSN design. This paper presents an energy-efficient WSN architecture that combines optimized clustering and duty-cycling mechanisms to reduce energy consumption and increase network lifetime. The system uses low-power ESP32 nodes with Zigbee …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 22–27 Read article
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Multinomial classification Identification for Domestic Violence Virtual Posts Based on Improved Convolution Neural Network (ICNN)
Abstract: AbstractDomestic violence isn’t only about the physical violence but further any conduct the purpose of which is to gain power and manage over a spouse, partner, girl/boyfriend or intimate own circle of family member which leads to the violation of human rights. Through the web-based networking media domestic violence crisis support (DVCS) have demonstrated fundamental help directions to abused people and their families. The unrivaled outcomes in online content description …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 1–10 Read article
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Analysis of Various Diabetes Prediction Techniques Based on Machine Learning
Abstract: AbstractData mining is a method of mine from the underdone data for maintains useful information. In organize to obtain fundamental knowledge it is important to remove bulky quantity of data. This method is consist of many important components like data cleaning, data selection, data integrity, pattern evaluation with data mining engine and database with graphical user interface. Diabetes is a chronic disease that is also known as Non‐Insulin Dependent Diabetes …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article
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LoRa WANET: MAC Protocol Design Approach
Abstract: The evolvement of WANET and IoT across the globe is a necessity to build a system that have better capabilities than the system in place and extend its area of application to a whole new level. LoRaWAN, 6LOWPAN are some of the protocols being used as primary standards in LoRa but these protocols don’t allow to form an ad hoc type of network and provide point to point (P2P) connections. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 19–25 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Optimum Setting of Distance Protection Scheme for HV Transmission Line
Abstract: Protective relays in a power system are used to detect system abnormalities and to execute appropriate commands to isolate swiftly only the faulty component from healthy system. One of the protective relay is the distance relay. When the fault occurs it is seen that large amount of current flows through the network. The distance relay detect the over current by measuring the impedance of the transmission line and send the …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 2, 2013 · pp. 23–36 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Dynamic Routing and Performance Assessment in IPv6 Networks
Abstract: In the fast-paced world of networking technologies and the growing demands of contemporary communication, it is crucial to thoroughly examine adaptive routing in IPv6 networks. This project undertakes a thorough analysis and evaluation of adaptive routing protocols, particularly OSPFv3 and Border Gateway Protocol (BGP)+, within the context of IPv6. Through meticulous scrutiny of network dynamics, traffic behavior, and routing protocol decisions, this study aims to elucidate the efficacy and adaptability …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 18–28 Read article
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A Review of Comparative Analysis of AODV and DSR Protocols based on QoS in Wireless Ad-Hoc Network
Abstract: AbstractIn an ad-hoc network transmission, interchange of data is done only through wireless medium. Number of ways and techniques have been used in past to estimate the quality of service (QoS) in wireless ad-hoc network protocols. Evaluating the QoS rating of wireless ad-hoc routing protocol namely, AODV and DSR forms is the main purpose of this paper which will determine the apt protocol to be used for different network scenarios. …
Published in Recent Trends in Sensor Research & Technology · Vol. 4, Issue 3, 2017 · pp. 21–24 Read article
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Feature Fusion Based Iris and Retina Recognition System Using Kohonon Self-Organizing Mapping Neural Network Algorithm
Abstract: This paper proposes a model of biometric security with feature fusion based iris and retina recognition system. Though, a lot of research works have done for iris recognition system and it is not new for the fusion of multimodal iris recognition in the area of biometric security and authentication system. But, it is a relatively new idea of mixing iris and retina features for human authentication. Here, the features of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 22–26 Read article
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Pair of Retina Recognition System Using Hopfield Neural Network Algorithm
Abstract: process of pair of retina recognition system using feature fusion method has been proposed in this paper. Left and right retinal images of human have been used for the inputs of this retinal recognition system. Wavelet based retinal image pre-processing technique has been applied to process the retina images. After extracting the features from the left and right retinal images, features are concatenated using feature fusion technique. Principal Component Analysis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 41–45 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Online Content based Approach of Network Extraction for Finding Weight, Size and Features
Abstract: In an online community, moderating the content created by users is a great challenge. Nevertheless, this paper is very costly to man-made workers. To end this, an automatic machine can arouse great interest to identify breaches of user content. Some ways to solve this problem, but word filtering or regular expression matches are most often seen in practice. The key drawbacks are their insecurity and their context-insensitive existence deliberately concealed …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 23–30 Read article
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USING DIFFERENT END CONDITIONS EXPERIMENTAL AND THEORETICAL ANALYSIS FOR VIBRATIONAL PROPERTIES OF NATURAL FIBER COMPOSITES BEAM
Abstract: The today’s research trend in composite is for the development of composite with natural fibre instead of synthetic fibre. It is because of properties like low cost, light weight, bio-degradability, ease to manufacture and low impact on environment. It becomes necessary to study the vibrational behaviour of composite in addition to mechanical strength and chemical properties for effective utilization in real world applications as they subjected to many types of …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 34–41 Read article
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Design And Implementation Of Energy Meter Intrusion Detection And Power Management System
Abstract: Electricity meter bypass is becoming more frequent and pervasive leading to Loss of Revenue (LOR) in electricity sector. Technology has advanced to the point where a gadget that calculates and measures changes in the environment can now detect motion. A network SIM card connected to a GSM module controlled by an ATmega8 microprocessor, is used in the design and construction of this project. In this framework, an LDR sensor is …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 28–42 Read article
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Rectangular Slot Loaded Circular Patch Antenna for WLAN Application
Abstract: In this paper design and analysis of Circular Microstrip antenna with two rectangular slots having inset-feed has been presented. A computer simulation using IE3D software was performed and the bandwidth of the antenna has been measured. The proposed antenna has been fabricated & tested successfully with network analyzer. By using slotting technique inside the circular patch better impedance bandwidth is achieved. The proposed antenna is suitable for Wireless Local Area …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 2, 2015 · pp. 7–10 Read article
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Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article