Search Results - (( using permutation table algorithm ) OR ( evolution optimization mining algorithm ))

JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation by Abu, Ahmad Zaidee

“…The proposed approach uses a frequency domain combinational framework of coefficients scrambling with Key Scheduling Algorithm based (KSA-based) permutation. …”
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A cylindrical coordinate system with dynamic permutation table for blowfish algorithm by Al-Abiachi, Ashwak M., Mahmod, Ramlan, Ahmad, Faudziah

“…The Blowfish Algorithm (BA) is a symmetric block cipher that iterates simple encryption and decryption functions by using Feistel networks.BA keys vary from 32-448 bits to ensure a high level of security.However, the BA requires a high memory percentage and it has a problem regarding randomness of output with text and image files having large strings of identical bytes.One solution to the seissues is to design a new Cryptography algorithm based on the BA that incorporates an F-function into a Cylindrical Coordinate System (CCS).The resulting F-function is known as a CCS with a Dynamic Permutation Table (DPT) or CCSDPT whereas the new algorithm is called the New BA (NBA).The objectives of the CCSDPT are to reduce memory requirements, enhance the randomness of the output and increase resistance to attacks through byte relocation and transformation in the right cylinder.NBA is evaluated by investigates the output of the algorithm by using statistical tests from the National Institute of Standard and Technology (NIST) with five types of data and compared with the BA.The findings of the NIST tests show that the NBA is suitable for any data stream, even those with long strings of identical bytes. …”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

“…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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Logic mining method via hybrid discrete hopfield neural network by Guo, Yueling, Mohd Kasihmuddin, Mohd Shareduwan, Zamri, Nur Ezlin, Li, Jia, Romli, Nurul Atiqah, Mansor, Mohd Asyraf, Ruzai, Wan Nur Aqlili

“…The first contribution involves the incorporation of a Hybrid Differential Evolution Algorithm to accelerate the optimization of synaptic weights during the training phase. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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Protection of the digital holy Quran using SAB hash function by Alshaikhli, Imad Fakhri Taha, Alahmad, Mohammad

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Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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Dynamic key scheduling algorithm for block ciphers using quasigroup string transformation by Hassan Disina, Abdulkadir

“…This research proposed a Dynamic Key Scheduling Algorithm (KSA) using isotope of a quasigroup as the dynamic substitution table. …”
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Descriptive analysis of patient diet trends at Pantai Hospital Ayer Keroh by Muhidin, Nurain Fatiha

“…Without effective data analysis, it is challenging to track dietary trends, assess patient preferences, and optimize meal preparation. To address this problem, this project focuses on enhancing various aspects of healthcare dietary operations by employing CRISP-DM as the methodology to structure the data mining process. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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