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334 articles for “Network measures”
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PREDICTING THE COMPRESSIVE STRENGTH OF CONCRETE USING ANN IN MATLAB
Abstract: This research work focuses on the production of Artificial Neural Networks ( ANNs) in the prediction of concrete compressive strength after 28 days. The measurement of the compressive strength of concrete in situ by means of cores cut from hardened concrete is recognised as the most common technique, but the compressive strength of concrete is very difficult to predict because several factors affect it.In this paper , in order to …
Published in Journal of Construction Engineering, Technology & Management · Vol. 10, Issue 3, 2020 · pp. 46–52 Read article
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Retina Recognition System Using Wavelet based Neural Network Algorithm
Abstract: This paper presents an approach of wavelet feature-based retina recognition system using back-propagation learning neural network algorithm. After acquiring the retinal image, at first vessels were segmented from the image. Then the feature extraction was carried out by analyzing the segmented retinal image using multiresolution analysis through the wavelet-based approach. Then extracted features were fed to the back-propagation learning neural network algorithm to create the learned template which was used …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 35–39 Read article
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Wireless Sensor Network Localization Based on Static Anchor Node
Abstract: Anchor-based localization is a crucial challenge in wireless sensor networks (WSNs), aiming to determine the positions of all sensors by leveraging a limited number of anchor nodes whose locations are known. In this paper, we propose a novel algorithm for anchor-based localization in a static network, which improves the localization accuracy while reducing the computational complexity compared to existing methods. Our algorithm uses a range-based approach to estimate the distances …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 1, 2023 · pp. 12–20 Read article
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Application of Resource Allocation Similarity Based Link Prediction in Wireless Networks
Abstract: Link prediction in wireless networks plays a crucial role in predicting missing connections within multiplex networks. This study focuses on the utilization of similarity-based link prediction methods in wireless networks. These methods assume that the likelihood of linkage between nodes is determined by their similarity, based on shared features. Several similarity measures, such as Common Neighbors (CN), Preferential Attachment (PA), Adamic-Adar (AA), and Resource Allocation (RA) indices, are commonly employed …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 37–42 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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Optimization Study by Response Surface Methodology and Artificial Neural Network on the Culture Parameters of Citric Acid Bioproduction from Sweet Potato Peels
Abstract: In the cause of this research work, two steps enzymatic hydrolysis of sweet potato peel was carried out respectively. The effect of α-amylase dose, reaction time, and reaction temperature and biomass weight on glucose concentration was investigated carefully. The response surface methodology (REM) predicted the highest reducing sugar concentration at liquefaction to be 74 g/L, at the following optimized conditions; temperature of 45°C, α-amylase dose 0.7 %v/v, biomass weight 22.345 …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 1, 2022 · pp. 30–38 Read article
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Multiple Fragment Information Gathering Using Accumulating Framework
Abstract: The approach of use mobile sink, has been adopted in wireless sensor networks ( WSN) and wireless sensor and actor network( WSAN) to achieve advanced efficiency in terms of gathering data from sensors. Mobility-assisted data collection brings in new opportunity to improve the energy efficiency sensor nodes. However, mobile sink also introduces new challenges such as large data collection tansy. A lot of research efforts have been devoted to reduce …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 3, 2015 · pp. 14–18 Read article
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Building a Smart, Secured and Sustainable Campus: A Self-powered Wireless Network for Environmental Monitoring
Abstract: Traditional wired sensor networks for building environmental monitoring often face challenges related to scalability, cost, and resilience. This paper introduces a novel concept called the Green Environmental Monitoring Network (green EMN), tailored specifically for campus environments. The objective of this study is to propose a self-powered wireless network solution that utilizes strategically deployed wireless sensor nodes within buildings for environmental data collection while integrating advanced security measures and sustainable power …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 27–44 Read article
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Reliability Evaluation of Power Distribution Network Considering Uncertainty in Failure
Abstract: With the development of economy and society power planning is facing with the influence of much uncertainty, which are mainly power distribution network. Power system especially at the distribution level is prone to failures and disturbances as many devices are responsible for the successful operation of a radial distribution system. Every time an engineer takes a measurement, the only certainty is that the measurement is not exact; all measurements have …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 33–40 Read article
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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An IoT Based Novel Approach for Prevention of Road Accidents due to Extreme Weather Conditions using L-BOT
Abstract: As more and more highways are being developed by the government, cities are getting connected and more people are commuting through highways; due to which there are fair chances of increase in the number of accidents on such highways, especially in extreme weather conditions (fog and heavy rain). From the statistics of the Ministry of Road Transport and Highways, India, it can be said that almost 50 people die, and …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 15–24 Read article
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Impregnability Framework For PMO
Abstract: Artificial Intelligence, when used with desired hardware systems has proven to be effective and smart than human surveillance and CCTV's, satellites are taking positions of watchmen and guardians for monitoring purposes with basic security concepts and development of AI aided security systems takes in use of what we have learnt over the period of our course. The proposed network security model for the Prime Minister’s office (PMO) includes both the …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 11–16 Read article
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Application of Artificial intelligence in Single Point Incremental Forming for Surface Roughness Prediction
Abstract: The sheet metal forming industries always try to find an emerging trend to form sheet-metal in a cost-effective manner. In this regard, a forming technique is trending termed as single point incremental forming (SPIF) in which a simple forming tool having hemispherical end rod is moving and simultaneously deforming the clamped metal sheet according to predetermined toolpath command and forms a complete shape. The achievement of required surface quality is …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 237–246 Read article
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Case Study on Snake Bite
Abstract: Snakebites are a major public health concern in India, with the World Health Organization (WHO) estimating approximately 5 million cases annually. Out of these, around 2.7 million involve envenomation, where venom is injected through the snake's bite. These venomous bites pose significant medical emergencies and can lead to severe complications, including permanent physical impairments if not treated promptly. Immediate medical intervention is crucial to mitigating the adverse effects of snakebites. …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 21–25 Read article
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Securing Healthcare 5.0: A Review of Applications, Security Challenges, and Future Perspectives
Abstract: Healthcare 5.0 represents a revolutionary shift in the healthcare sector, focusing on individualized, patient-centric care through the integration of different cutting-edge technologies such as internet of things, artificial intelligence, big data analytics, blockchain, and cloud computing to enable healthcare services such as real-time health monitoring, personalized treatments, and access to expert advice regardless of geographic barriers. Potentially, Healthcare 5.0 supports more engaged and effective care and help through a focus …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 22–36 Read article
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Measurement of Service Satisfaction of Mobile (Cellular) Services of India
Abstract: Nowadays, the mobile industry in India has developed to be very competitive, as different cellular companies jostle for the attention of subscribers. One of the key challenges confronting these cellular companies is how they manage their service quality, which holds a great importance to customer satisfaction. Service quality and customer satisfaction are very essential in maintaining customer loyalty. In this paper, an attempt is made for concrete and measurable improvements …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 1, 2015 · pp. 5–12 Read article
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Implementation of Human Gesture Recognition Using CNN
Abstract: A gesture popularity system based entirely on convolutional neural networks (CNNs). Preprocessing techniques include segmentation, polygonal approximation, contour construction, morphological filters, and resource characteristic extraction. Various convolutional neural networks are employed for training and testing, with results compared to existing architectures and protocols. All generated measurements and convergence graphs produced at any point during education are examined and contested in order to verify the reliability of the approach offered. Our …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 24–37 Read article
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Review of Deep Learning in Medical Imaging
Abstract: In the past few years, computer-aided analysis has fallen quickly behind. Organ categorization and segmentation is a key stage in computer-aided diagnosis. In recent years, there has been a lot of interest in the division of abdominal organs such as the liver, stomach, kidney, pancreas, and bladder from various picture modalities. Radiologists or medical specialists analyze abdominal pictures the majority of the time. Due to subjectivity, intricacy of the picture, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 16–24 Read article
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An Intersection in the Age of Online Social Networking with Dental Professionalism—A Survey
Abstract: Background: Computers have become an integral component of Dentistry finding its application in patient care and Dental education. Objectives: The present study was conducted to assess the value and measures for the utilization of Internet services among Dental professionals practicing at Vellore, India. Introduction: Humans are living in the era of online technology in their whole lives. They prefer new media technologies and online learning. Method: In this analytical, cross-sectional …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 1, 2019 · pp. 14–23 Read article
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Iris Recognition System Using Principal Component Analysis based Back-Propagation Learning Neural Networks
Abstract: This paper deals with the iris recognition system using Back-Propagation learning neural network algorithm where Principal Component Analysis technique has been used to reduce the dimension of the iris feature vector. Automated iris localization and segmentation methods have applied to effectively isolate the iris region from pupil and sclera. Circular Hogue transform has used to detect the iris/sclera boundary and pupil/iris boundary. To remove the upper and lower eyelids effects …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 5–11 Read article