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358 articles for “Complex Network”
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Equivalent Linear Circuit for Thevenin and Norton Representation Using Superposition Theorem
Abstract: Using superposition theorem and knowing the Thevenin representation consisting of resistor, independent DC source of a network an equivalent DC network is obtained using SPICE software with linear circuit elements and independent sources and is verified. Also, similarly from the Norton representation, equivalent circuit is obtained. A procedure with Pspice methods to obtain unknown circuit elements using reciprocity theorem is described. Possible examples for (a) only resistive networks and (b) …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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COLOUR IMAGE ENCRYPTION AND COMPRESSION USING HYPER-CHAOTIC SYSTEM AND DCT DICTIONARY
Abstract: Image encryption and compression has received a lot of attention nowadays since large amount of information is transmitted through public networks. Encrypting the image after compression will sacrifice the flexibility and increases the complexity of the process. So the better method is the joint operation of encryption and compression in single step. The hyper-chaos based colour image image encryption and compression which is based on the scrambling and diffusion is …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 27–32 Read article
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Incremental Partial Update Strategies Over Distributed Networks
Abstract: This paper presents a partial update adaptive strategies based on incremental techniques. The proposed strategies apply to the problem of linear estimation with less number of computations in a cooperative manner. A partial update technique for updating the LMS filter coefficient is an effective method for reduced computational load and power consumption in adaptive filter implementation. It is promising approach to reducing complexity, potential to improve performance while permits complexity …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Neural Network Implementation in FPGA using Multiplexer-based Weight Updating for Efficient Resource Utilization
Abstract: This paper presents a novel scheme for field-programmable gate array (FPGA) implementation of an artificial neural network (ANN). The proposed implementation is aimed at reducing resource requirement, without compromising on the speed so that a complex ANN architecture could be realized on a single chip at a lower cost. The weight updating process in different layers of the ANN has been carried using a simple MUX-based architecture. Backpropagation algorithm which …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Recognition of Thyroid Nodules Using Hierarchical Temporal Awareness Networking Scanning
Abstract: Contrast-enhanced ultrasonography (CEUS), a preferred imaging technique for thyroid nodule diagnosis, is able to reveal the vascular distribution within a thyroid nodule right away. With the aim of mining pathologically-related enhancing dynamics and creating predictions in one step without taking into account a native diagnostic dependency, a number of learning-based algorithms have recently been created. In clinics, separating benign from malignant nodules is always done before identifying pathological types. In …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 31–35 Read article
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Thermodynamic design data of ammonia-sodium thiocyanate absorption heat pump systems simultaneous cooling and heating using ANN approach.
Abstract: The aim of this study is to train neural network which predict thermodynamic design data without involving role of thermodynamic properties, temperature concentration complex relationship and formula of coefficient of performance. Authors have presented values of weights and bias obtained from the trained ANN through which one can formulate mathematical equations for predicting thermodynamic design data. Authors have achieved coefficient of multiple determinations R2 as 0.99999, 0.99997 and 0.99953 for …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 30–36 Read article
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Thermodynamic Design Data of NH3-LiNO3 Absorption Heat Pump Systems for Simultaneous Cooling and Heating using ANN Approach
Abstract: The aim of this study is to train neural network which predicts thermodynamic design data without involving role of thermodynamic properties, temperature concentration complex relationship and formula of coefficient of performance. Authors have presented values of weights and bias obtained from the trained ANN through which one can formulate mathematical equations for predicting thermodynamic design data. Authors have achieved coefficient of multiple determinations R2 as 1, 1, 0.99999 for solution …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 1, Issue 2, 2014 · pp. 7–13 Read article
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Estimation of Semi-Blind Channel for Two-Way Relay by Using CRB: Pilot-based and Random Pilot-based
Abstract: The main purpose of semi-blind channel estimation scheme is for frequency-selective channel estimation, for multi-input and multi-output (MIMO) on relay networks, for using high bandwidth efficient use of spectrum. This scheme motivate to the low complexity of system to allow exchange information users to users by using an intermediate relay node. Because of superposition of signals at the relay node, section receiving signal at the user terminals is affected by …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 22–31 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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BIS Processes in the Human Neural Networks and Asymptotic Periodic Solutions of the Evolution Equations in the Brain Nanosystem using Jacobi Elliptic Function
Abstract: Our perseverance is dependent upon the normal functioning and fluctuation of the brain. That functioning involves complex electrical activities. These in turn generate subtle waves which were first noticed and studied by Hans Berger. These are essentially electrical rhythms in the brain which, when recorded by means of instruments called electroencephalograms or EEG on a roll of paper, appear as complex wave forms. In this paper, based on Jacobi elliptic …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 11–18 Read article
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Light Waves and Data Highways: The Physics of Optical Communication Networks
Abstract: Optical communication has revolutionised modern telecommunication, allowing for the quick transfer of information by light signals. This technology uses optical fibres as the transmission medium and offers higher bandwidth, lower signal loss and faster data transfer than typical electrical communication systems. Optical communication has become a key enabler of internet services, mobile networks, satellite communication and data centers which are all driving the increasing demand for high speed and dependable …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 13–24 Read article
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The Rise of Fractional Calculus: Novel Applications in Engineering and Biological Systems
Abstract: Fractional calculus (FC) is an advanced mathematical framework that generalizes the classical concepts of differentiation and integration to non-integer, or fractional, orders. This extension of traditional calculus allows for the modeling of complex dynamic systems that exhibit behavior not easily captured by integer-order differential equations. Over the last few decades, fractional calculus has seen a rapid rise in popularity, particularly in applied mathematics, engineering, and biological sciences, due to its …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 7–11 Read article
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Role of Deep Learning in Image Recognition
Abstract: Deep learning (DL) is a part of machine learning (ML) while ML is a subarea of artificial intelligence (AI). Deep learning or convolutional neural network (CNN) is a kind of neural network (NN). Nowadays, DL is playing a peculiar role in image recognition. It is being applied for recognizing speeches, language translations, automatic game playing, healthcare, and Self-driving a car as well. The concept of DL was proposed by Alexey …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 34–39 Read article
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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Performance Enhancement of Broadband Cellular Networks Using Massive MIMO Technology
Abstract: The rapid growth of mobile data traffic driven by smartphones, Internet of Things (IoT) devices, video streaming, and cloud-based applications has placed significant pressure on existing broadband cellular networks. As the need for faster data transmission, enhanced spectrum utilization, and dependable wireless communication continues to grow, Massive Multiple-Input Multiple-Output (Massive MIMO) has become a fundamental technology for modern communication networks, particularly in 5G and future-generation wireless systems. Massive MIMO technology …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 11–18 Read article
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Managing Pavement Settlement Risk: Impact of Waterlogging and Soil Conditions
Abstract: In the context of road infrastructure, the occurrence of waterlogging due to rainfall can have significant repercussions. Rainwater often infiltrates the road surface and, depending on factors such as the depth of the foundation and the extent of penetration into the ground, can lead to the soil beneath the road becoming either moist or saturated. This, in turn, can result in a reduction of the soil's bearing capacity. When vehicles …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 45–50 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article