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415 articles for “neural network method”
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Automatic License Plate Recognition using Video Sequences as Input and Artificial Neural Network as Recognition Technique
Abstract: ALPR system is used to automatically extract the number plate of a vehicle. This can be achieved by using different techniques that are employed in the field of image processing. ALPR method consists of 4 basic stages. The first stage of the system is the acquisition of an image of the vehicle. After that, the next step is license plate localization and then segmentation of the extracted license plate is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 89–102 Read article
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Automatic License Plate Recognition using Video Sequences as Input and Artificial Neural Network as Recognition Technique
Abstract: AbstractALPR system is used to automatically extract the number plate of a vehicle. This can be achieved by using different techniques that are employed in the field of image processing. ALPR method consists of 4 basic stages. The first stage of the system is the acquisition of an image of the vehicle. After that, the next step is license plate localization and then segmentation of the extracted license plate is …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 25–38 Read article
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Recurrent Neural Network Model for Signal Prediction in a LOCA Event
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 In this study, an artificial neural network (ANN) model with the Elman recurrent structure is developed to predict thermo-hydraulic signals in a loss of coolant accident (LOCA). In the prediction procedure, a few previous samples of a signal at the time of the accident are fed to the ANN and the output value of next time steps are estimated by the network output. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 13–24 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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An Accuracy Improvement in Facial Verification through Siamese Neural Networks
Abstract: Due to the ever-growing number of digital photos on the Internet, the task of automatically analysing images to extract semantic content has become quite important in recent years. In order to successfully organize the photographs, image indexing and image retrieval strategies need top-notch, effective image analysis and pattern recognition algorithms that can extract relevant semantic data. Face recognition plays a critical role in a variety of real-world applications, including AI-driven …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Analysis of Various Tools of Natural Language Processing Based on Developers Perspective
Abstract: The subject of natural language method has visible mind-blowing development in current years, with neural network community substitution numerous of the traditional structures. A subset of artificial intelligence known as “natural language processing”, or NLP, analyses, comprehends, and generates natural human languages so that computers can reuse written and spoken human language without resorting to computer-generated language. Semantics and syntax are used in natural language processing, which is sometimes referred …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 1–5 Read article
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Process of Decolourisation of Textile Dye Using Electrocoagulation and It’s Modelling Using Artificial Neural Network
Abstract: Electrochemical technology encompasses a wide spectrum of technologies and makes numerous contributions towards a cleaner environment. In this work, the decolourization of the synthetic fabric dye solution containing CIBA (Company for Chemical Industry Basel) Red by electrocoagulation method has been investigated. Investigations have also been conducted on the impact of operational variables on colour removal effectiveness, including beginning pH, electrolysis duration, distance between electrodes. An electrode retention time, dye focus. …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 28–38 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Adaptive Selective Harmonic Elimination Method for Quasi Z-Source Cascaded Multilevel Inverters in Varying DC Voltage Condition
Abstract: AbstractIn this paper, a new control method for adaptive selective harmonic elimination in a quasi Z-source cascaded multilevel inverter (QZS-CMI) is proposed. According to real condition, the DC sources feeding the inverter are considered to be varying in time. In this condition, the switching angle and shoot-through duty ratio for each module are obtained off-line for different DC source values using particle swarm optimization (PSO) algorithm. The off-line data set …
Published in Trends in Electrical Engineering · Vol. 4, Issue 3, 2014 · pp. 1–9 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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An Artificial Intelligence for Detection of User's Emotion from the Micro Expression of Facial Images Using Co-activated Recurrent Neural Network
Abstract: Human-computer intelligent interaction is a technically emerging field in computer science, which aims at improving the natural ways of interaction between computer and humans. The emphasis of our work relies on bridging the emotional gap between humans and computer i.e., to enable the computers to determine the emotional status of the users involved with through the facial micro-expressions. This work exploits existing methods of facial feature extraction using ABLATA and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
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Optimized Adaptive Feedback Linearization Control of Wing Rock by Using Neural Network and NSGA_II
Abstract: Wing rock is one of the well-known instabilities that occur in aircraft dynamics at moderate to high angles of attack. In this phenomenon aircraft dynamics can display an oscillatory lateral behavior that manifests itself as a limit cycle known as wing rock. In this paper a new approach is introduced for designing the controller for this phenomenon which has the optimal performance while the controller is adaptive and robust against …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 1–10 Read article
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Evaluation of Credit Risk of Bank Customers with a Hybrid Approach of Data Mining Techniques
Abstract: Credit risk poses the most significant threat to financial and monetary institutions. Banks strive to offer loans that generate high returns while minimizing risk. Achieving this requires the ability to accurately identify and classify credit customers, both individuals and legal entities, according to their likelihood of fully meeting their obligations. This classification is done using relevant financial and non-financial criteria. The primary goal of this study is to assess the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 63–81 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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A Survey on Image Forgery Detection Techniques Using Machine Learning Approaches
Abstract: With the advent of newer technologies and usage of data in various service fields like education, commercial and healthcare, etc. The possibility of tampering and altering the data in the form of media like images is easily seen to derive various illegitimate benefits and outcomes. The rapid advancements in technology and the increased utilization of data in various service sectors such as education, commerce, healthcare, etc., have raised concerns about …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 17–26 Read article
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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Artificial Neural Network Based Defect Prediction in Casting
Abstract: The main problems which are facing by most of the casting industries is loss of productivity which is due to casting defects occurred during the production time. The main casting defects are cracks, misruns, blowholes scabs and airlocks. Most of the investigations made in this area is only discussing the defects occurred after a cast is made and no method has yet been developed to prevent the defects before casting. …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 33–38 Read article
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Cognitive Polymer Composite Systems for Autonomous Biomedical Response
Abstract: Cognitive polymer composite systems: A novel form of intelligent biomaterials with the capability to sense, process and respond to real time physiological stimuli on their own. The present paper offers a comprehensive platform to integrate stimulus responsive polymers with intrinsic sensing networks and learning based decision models to offer adaptable bio-medical solutions. Mathematical formulations are available that are used to model stimulus response behavior, sensor signal processing and cognition decision …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article