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101 articles for “forwarding approach”
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Optimized Approach for Reduction of Higher Order Interval System
Abstract: Abstract— This paper deals with the order reduction of higher order interval system using mixed optimization approach and routh approximation method. The paper put forward the method for the reduction of interval system. The reduction process is to examine for the possibility of finding some lower order transfer function of the same type that may be considered to adequately reflect the dominant characteristics of the original system. Generally in this …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 22–29 Read article
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A Review: Fusion of Face and Iris by using Support Vector Machine
Abstract: AbstractA new approach for personal identification based on the fusion of iris & face recognition is presented in this paper. Biometric innovations are the establishment of the personal identification system. A biometric system recognizes a person based on a few characteristics or forms. This is in many instances watched in the region of security, privacy, and forensics. Even for the great of unimodal biometric systems, it is frequently no longer …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 1–10 Read article
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Application of Game Theory Principles for Opportunistic Routing in MANETS
Abstract: This article explores the application of game theory principles to enhance opportunistic routing in mobile ad hoc networks (MANETs). MANETs are characterized by their dynamic topology, limited resources, and lack of infrastructure, making traditional routing protocols less efficient. Opportunistic routing leverages the mobility of nodes and the broadcast nature of wireless communication to achieve reliable message delivery. However, existing opportunistic routing algorithms may suffer from challenges such as high message …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Luminescent Phenomena and Materials: Fundamentals, Developments, and Multidisciplinary Applications
Abstract: Luminescence, defined as the emission of light without significant heat generation, represents a fundamental phenomenon bridging physics, chemistry, materials science, and biotechnology. Over the centuries, the understanding of luminescence has evolved from simple observational curiosity to a sophisticated quantum-mechanical framework describing electronic transitions in atoms, molecules, and solids. This review provides a comprehensive overview of the historical development, fundamental mechanisms, classifications, and material systems associated with luminescence. It places particular …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 Read article
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Optical Character Recognition Using Back Propagation Neural Network
Abstract: This paper represents an Artificial Neural Network (ANN)-based approach for the recognition of English characters using feed-forward neural network. Noise has been considered as one of the major issues that degrades the performance of character recognition system. Our feed forward network has one input, one hidden, and one output layer. The entire recognition system is divided into two sections, namely training and recognition section. Both the sections include image acquisition, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 11–18 Read article
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Intelligent Electromagnetic Synthesis: An AI-Driven IoT Framework for Adaptive Antenna Design in Missile Navigation
Abstract: The rapid evolution of hypersonic and long-range tactical missile systems necessitates antenna architecture capable of maintaining robust communication links under extreme thermal, mechanical, and signal-jamming environments. Traditional antenna design methodologies often relying on iterative simulation cycles and static optimization are increasingly insufficient for the real-time requirements of modern aerospace navigation. This paper proposes an AI-driven, IoT- integrated framework that facilitates autonomous antenna design and performance optimization. By deploying a distributed …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Reinforcement Layout Optimization of RCC Beam using Firefly Algorithm
Abstract: The optimization of layout design of steel in the domain of concrete has been an interesting topic during the last few years. The main focus of this study is to make an attempt to determine the optimal layout of steel in the concrete domain using metaheuristic algorithms. In this study, firefly algorithm is used. Two different approaches have been studied and the merits and demerits have been put forward. The …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 28–35 Read article
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FEA Analysis for the Optimization of an Extrusion Die
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 The process of extrusion plays a vital role in the production process of different parts in various environments. Even though there is lot of variations in the production of parts during extrusion with conventional processes to the latest automation in the manufacturing. There is a need to develop different die designs by varying input processes variables for the extrusion process in an optimum manner. …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 10–21 Read article
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A Study on Shortest Route Planning in Road Transportation Networks Using Remote Sensing Technology
Abstract: In the present scenario, information technology plays a major role in the world economics. If we get the timely information about the resources of the city then we could plan and manage its resources in a better way, for the economically and environmentally sustainable urban development. Land cover and the human or natural alteration of land cover play a major role in global scale patterns of climate. Rapid urbanization and …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 23–28 Read article
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Performance Analysis of BEEM using Fuzzy Logic in Wireless Sensor Network
Abstract: Advances in wireless sensor network technology provides the availability of small and low-cost sensor nodes which has capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. This sensing capability results in extremely large amount of application areas. However, the characteristics of wireless sensor networks require more effective method for data forwarding and processing. To upgrade the energy utilization, clustering is one of the prototypical …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 31–38 Read article
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Business Automation Using Artificial Intelligence in Post COVID-19 Era
Abstract: After COVID-19, the business sector got hit pretty badly. The immediate transfer from traditional marketing to social media marketing changed up pretty quickly. People got confined inside their houses, so online shopping became the top priority, and it was the priority of every sector to bring their best game out on social media. A unique approach for better customer satisfaction was required. Delivering on these needs, we discuss various new …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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Federated Learning: A Comprehensive Review of Models, Algorithms, and Business Applications
Abstract: In an age where data privacy is a significant concern, federated learning (FL) has become a game-changing method in machine learning. This decentralized model enables various parties to work together on training models without exchanging their raw data, effectively tackling the issues posed by data silos and privacy regulations. This article explores the current state of FL, including its underlying models and algorithms, practical applications, benefits, challenges, and future directions. …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 1–9 Read article
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A Survey of Various Route Selection Strategies for Mobile Ad-Hoc Networks
Abstract: Mobile Ad-hoc Networks (MANETs) have a dynamic topology due to the mobile nature of portable devices. Because of high mobility of mobile devices in MANETs, a frequent path failure occurs when a node changes its position in the network. Due to path failure, packet loss occurs in the network. Packet loss is responsible for information lost and retransmission in the network. To minimize packet loss in the network, there should …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 1, 2015 · pp. 17–23 Read article
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Power Estimation for VLSI Circuits Using Neural Networks
Abstract: Neural network based VLSI power estimation is done which estimates power in VLSI circuits from its input/output and gate information, without simulation and analysis of its detail structure and the interconnections.Artificial neural network is created which helps in estimation of power. Power estimation results from the [2] [3]are used as the training vector for the network .The network is trained using Back-propagation algorithm. Asimple recurrent network is also introduced called …
Published in Journal of VLSI Design Tools and Technology · Vol. 1, Issue 1-2-3, 2011 · pp. 45–56 Read article
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An Enhance Approach to Mitigate the Impact of Black Hole and Gray Hole Attacks in AODV Routing Protocol
Abstract: Wireless network has become more and more popular during the past decades. A mobile ad hoc network (MANET) is integrating of mobile nodes, in which the packets are forwarded without any centralized network authority. The devices are connected via wireless medium. Due to this, characteristic security is high risk because packets are easily trapped in the network. There is no pledge of attack free communication due to heterogeneity in the …
Published in Journal Of Network security · Vol. 4, Issue 2, 2016 · pp. 9–16 Read article
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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An Innovative Approach of the Analysis of the Low Noise of a CMOS-Based Amplifier for Analog Signal-based Applications
Abstract: A low-noise amplifier (LNA), which is based on the cascode feedback methodology, has been commonly used for various wireless protocol-based network applications nowadays. It is so because this topology ensures that the low-noise amplifier (LNA) can achieve quite a high performance and thus, provides a high qualitative output. This amplifier is operated with a low voltage supply in the range of few volts that requires that the impedances of the …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 7–15 Read article
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Development of a Novel Analytical Framework for Investigating Non-Symmetric Deformation Behavior in Strip Rolling
Abstract: In recent years, the asymmetrical rolling process has attracted considerable research attention due to its ability to induce non-uniform deformation characteristics within metallic workpieces. In this context, the present study introduces a novel analytical framework for asymmetrical cold rolling based on an enhanced slab method, specifically designed to overcome the inherent limitations of existing analytical models when applied to a wide range of asymmetric rolling conditions. A newly developed mathematical …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 1–21 Read article
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Improved Performance Using Cluster Based Routing Methods for Wireless Sensor Network
Abstract: Clustering technique in (WSN) wireless sensor networks is skilled planning in order to efficiently handle the sensor network (nexus). LEACH, is in general, used as clustering protocol contained by CH, and also their source nodes which are attached, are irregularly transformed so as to permit effective balance. However, involvement of LEACH so that all source nodes promote their knowledgeable information directly to cluster heads which are connected, influence the energy …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 4, Issue 3, 2017 · pp. 5–11 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article