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Secure Image Steganography Using Encryption Algorithm
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New approach of cryptography algorithm for e- mail applications
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DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS
Published 2011“…The encoding and optimization process using genetic algorithms has been applied successfully. A slightly lower root mean square error was observed in the second system which reveals that the hybrid intelligent system performed better than the pure neural network system. …”
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Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms
Published 2025“…The experimental data is then validated using metrics such as coefficient of determination (R2), root mean square error, and root mean error. …”
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Quantum-Resistant Cryptography in Cyber Security
Published 2025“…While quantum systems promise advances in science, engineering, and artificial intelligence, they also pose a substantial threat to classical cryptographic techniques such as RSA, ECC, and other widely deployed public-key mechanisms. …”
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Students’ perceptions towards the ethical considerations of using artificial intelligence algorithms in clinical decision-making
Published 2024“…Abstract Aim: The present study aimed to explore the perceptions of dental students regarding the ethical considerations associated with the use of artificial intelligence (AI) algorithms in clinical decision-making. …”
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Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat
Published 2016“…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
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Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
Published 2019“…This thesis presents a practical and reliable approach for the prediction of PV power output using an intelligent-based technique namely Cuckoo Search Algorithm - Least Square Support Vector Machine (CS-LSSVM). …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
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Hub Angle Control for A Single Link Flexible Manipulator Based on Cuckoo Search Algorithm
Published 2021“…Then, the performance of proposed algorithms was validated based on three robustness methods known as mean squared error, pole zero diagram stability and correlation tests. …”
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ANFIS Identification Model of an Advanced Process Control (APC) Pilot Plant
Published 2010“…The developed model has been validated using the best fit criteria against the measured data of the pilot plant. …”
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A proposed model for text and image encryption using different techniques
Published 2023“…In this paper, the Rivest Shamir Adleman 3 key (RSA3k) algorithm is used but in a new technique to encrypt and decrypt text. …”
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Development of a robust intelligent controller for a semi-active car suspension system
Published 2022“…Semi-active suspension systems outperformed passive and active suspension systems because it contains an intelligent actuator that can give the appropriate force to dissipate unwanted vibration using intelligent and real-time controllers. …”
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Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob
Published 2022“…The training and validation of the ANN was based on optimization of its training parameters and guided by the convergence of the mean squared errors (MSE). …”
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Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines
Published 2023“…The proposed hybrid DTMF detector scheme is based on power spectrum analysis by means of the Discrete Fourier Transform (DFT). The Goertzel's Algorithm is used to estimate the seven fundamental DTMF carrier frequencies. …”
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Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…Tacit knowledge becoming a key issue in business intelligence approach to knowledge systems. Capturing the tacit knowledge is not a straightforward task, since it consists of unstructured data and related to a variety of information that is not always accessible through traditional means. …”
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