Search Results - binary ((((((bayes algorithm) OR (bleu algorithm))) OR (based algorithm))) OR (_ algorithm))
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Airline flight delay prediction using Naïve Bayes algorithm / Ahmad Adib Baihaqi Shukri
Published 2024“…This study aims to study the Naïve Bayes algorithm for flight delay prediction. The objective is to develop a reliable flight delay prediction model using the Naïve Bayes algorithm and evaluate its performance. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…Consequently, during peak hours, finding a vacant parking bay is more of a difficult task. This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Machine learning approach of predicting Airline flight delay using Naïve Bayes Algorithm / Ahmad Adib Baihaqi Shukri ... [et al.]
Published 2024“…This study aims to study the Naïve Bayes algorithm for flight delay prediction. The objective is to develop a reliable flight delay prediction model using the Naïve Bayes algorithm and evaluate its performance. …”
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An Improved Network Intrusion Detection Method Based On CNN-LSTM-SA
Published 2025“…Traditional machine learning algorithms, such as Decision Trees, Naive Bayes, Random Forest, Random Trees, Multi-Layer Perceptron, and Support Vector Machines, have been extensively applied to address these threats. …”
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Machine learning approach for stress detection based on alpha-beta and theta-beta ratios of EEG signals
Published 2021“…This study will ultimately contribute to society's development with improved robust machine learning algorithm for binary classification.…”
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Pixel-based feature for android malware family classification using machine learning algorithms
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Text Extraction Algorithm for Web Text Classification
Published 2010“…The created data sets are then classified using Naive-Bayes and C4.5 algorithms provided in WEKA application. …”
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Prediction of stroke disease using machine learning techniques / Syarifah Adilah Mohamed Yusoff ... [et al.]
Published 2024“…This study has investigated five commonly used machine learning algorithm to be constructed as potential models for predicting stroke dataset. …”
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An Improved Network Intrusion Detection Method Based On CNN-LSTM-SA
Published 2025“…This study investigates the performance of various conventional machine learning algorithms, including decision trees, naive Bayes, naive Bayes trees, random forest, random trees, MLP, and SVM, in detecting network intrusions using binary and multi-classification approaches. …”
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A novel hybrid binary reconstruction algorithm for ultrasonic tomography
Published 2008“…The algorithm is capable to improve the noise in the conventional back-projection based algorithm. …”
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Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection
Published 2026“…In the experiment, we conducted an evaluation of the effectiveness and efficiency of four nature-inspired binary algorithms for optimization namely Binary Particle Swarm Optimization (BPSO), Binary Grey Wolf Optimization algorithm (BGWO), Binary Differential Evolution algorithm (BDE), and Binary Salp Swarm algorithm (BSS) - in the context of human activity recognition (HAR). …”
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A Multi-State Gravitational Search Algorithm for Combinatorial Optimization Problems
Published 2015“…The binary-based algorithms including the binary gravitational search algorithm (BGSA) were designed to solve discrete optimization problems. …”
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A Steganalysis Classification Algorithm Based on Distinctive Texture Features
Published 2023“…Therefore, in this research, we present a steganalysis classification method based on one of the texture features chosen, such as segmentation-based fractal texture analysis (SFTA), local binary pattern (LBP), and gray-level co-occurrence matrix (GLCM). …”
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Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions
Published 2018“…This paper presents the study on the application of Binary Search Algorithm (BSA) to determine the maximum power point under partially shaded photovoltaic system. …”
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Clustering for binary data sets by using genetic algorithm-incremental K-means
Published 2018“…For the purpose of this research, GA was combined with the Incremental Kmeans (IKM) algorithm to cluster the binary data streams. In GAIKM, the objective function was based on a few sufficient statistics that may be easily and quickly calculated on binary numbers. …”
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Comparative study of different binarization methods through their effects in characters localization in scene images
Published 2018“…We have developed in this paper our previous scheme which based on shape properties and geometric features to define text region and adopt our binarization scheme which based on Naïve Bayes classifier to convert grayscale image to binary image. …”
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Multi-State Particle Swarm Optimization for Discrete Combinatorial Optimization Problem
Published 2014“…The binary-based algorithms including the binary particle swarm optimization (BPSO) algorithm are proposed to solve discrete optimization problems. …”
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A novel nonlinear time‑varying sigmoid transfer function in binary whale optimization algorithm for descriptors selection in drug classifcation
Published 2022“…The comparative optimization algorithms include two BWOA variants, binary bat algorithm (BBA), binary gray wolf algorithm (BGWOA), and binary manta-ray foraging algorithm (BMRFO). …”
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New Diffie Hellman key exchange primitive based upon binary field
Published 2013“…One of the earliest public-key algorithm is Diffie Hellman key exchange algorithm.The Diffie Hellman key exchange allows two parties that have no prior knowledge of each other to jointly establish a shared secret key over an insecure communications channel.However, one drawback of this algorithm is the inherently expensive exponential calculation that provides the needed one-way trapdoor mechanism.Hence, an alternative approach is proposed whereby the key exchange will no longer depend on the prime field instead the newly proposed algorithm will now depend on the binary field as it is known that binary field operations are inexpensive and provides notably faster computations.The result evidently shows that the binary field Diffie Hellman performs almost twice as fast as the prime field Diffie Hellman.In general, this result serves as an example in which the binary field can benefit the mainstream cryptography. …”
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