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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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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…There are only a few researchers used artificial intelligence to classify malaria parasites. The purpose of this project is to classify malaria parasites into Plasmodium falciparum, Plasmodium vivax and Plasmodium malariae based on ratio of infected red blood cell’s (RBC) size to normal RBC’s size, shape of parasite, location of chromatin, number of chromatin, texture of infected RBC, and number of parasite per RBC using different types of neural network. …”
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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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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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Hybrid optimal control-swarm intelligence for optimization of selected cancer chemotherapy model / Omar Ali Mohammad Shindi
Published 2018“…This research project proposes two hybrid techniques that’s combined between the optimal control theory (OCT) with the swarm intelligence (SI) and evolutionary algorithms (EA), and check the performance of this techniques, with the popular method that used purely SI and EA algorithms, such M-MOPSO, MOPOS, MOEAD, MODE. …”
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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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Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
Published 2017“…The principle of ICLONALG is to select the best cells to be cloned and mutated by calculating similarity measurements of the most competent cells. …”
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Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm
Published 2016“…MPPT algorithms can be categorized into classical methods and artificial intelligence-based methods. …”
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Fault detection with optimum March Test Algorithm
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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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Blood cell classification using deep learning
Published 2022“…The advancement of Artificial Intelligence (AI) has introduced complex methods such as deep learning that would automate the classification of blood cells in a fast and accurate manner Thus, the study of White Blood Cells (WBCs) classification using deep learning techniques is proposed in this research. …”
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. …”
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Maximum power point tracking using artificial neural network for photovoltaic standalone system
Published 2014“…Electrical power can be generated by using semiconductors in photovoltaic (PV) cells to convert solar irradiance into DC current. …”
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Load balancing and congestion control in ATM using fuzzy logic and spiking neuron network / Tan Jiann Shin
Published 2005“…The proposed intelligent routing algorithm, integrates spiking neuron network with fuzzy link cost for the dynamic routing computation. …”
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