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Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data
Published 2024-12-01“…An unknown number and quality of potential behavioral models, non-efficient utilization of memory and processing units, and a large amount of data are the main difficulties developers could meet. Besides, the suitability of clustering algorithms for the task highly depends on the characteristics of datasets and still requires additional research. …”
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Regional Photovoltaic Consumption Control Strategy Based on Non-MPPT Algorithm
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations
Published 2024-09-01“…To automate the detection of phytoplankton distribution areas, a computer vision algorithm based on the U-Net CNN was developed. The model was evaluated by the calculated values of the main quality metrics related to segmentation tasks. …”
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A New Encryption Algorithm Utilizing DNA Subsequence Operations for Color Images
Published 2024-11-01“…These algorithms typically operate in two phases: shuffling and replacement. …”
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Design and Control for Piezoelectric Energy Harvester Based on a Heuristic Optimization Algorithms
Published 2025-01-01“…(Ant Colony Optimization (ACO), Modified Camel Traveling Algorithm (MCTA), and Particle Swarm Optimization (PSO)). …”
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Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm
Published 2025-01-01“…Existing research mainly focuses on the optimization of automated guided vehicle (AGV) path planning and scheduling, emphasizing on the minimization of conflicts and deadlocks, multi-objective task scheduling, and metaheuristic algorithm optimization, while ignoring path stability and real-time path planning in dynamic environments. …”
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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION
Published 2018-03-01“… Peri-implant bone loss is circular and volumetric by its main features, but in the most of researches level of bone reduction is measured via two-dimensional approach from the medial and distal sides of the implant structure. …”
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Hybrid Fuzzy Centroid with MDV-Hop BAT Localization Algorithms in Wireless Sensor Networks
Published 2015-10-01“…This hybrid scheme employs an extra weight with signal normalization derived from a fuzzy logic function in Centroid. The research also integrates a BAT algorithm of the modified DV-Hop. …”
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Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm
Published 2018-01-01Get full text
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Assigning Metaheuristics to a Logistics Problem: A Novel Classification System for Algorithms and Problems
Published 2024-12-01“…The majority of metaheuristic research is characterized by developing a new algorithm for a task or modifying or improving an existing technique. …”
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OCTNet: A Modified Multi-Scale Attention Feature Fusion Network with InceptionV3 for Retinal OCT Image Classification
Published 2024-09-01“…Current detection methods fall into two main categories: traditional methods and deep learning-based approaches. …”
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Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications
Published 2024-01-01“…Recent variants of HGSO are categorized into modified, hybridized, and multi-objective versions, and the review explores its main applications, demonstrating its effectiveness in solving complex problems. …”
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Experiment of Image Recognition of Railway Vehicle Brake Shoe Based on Edge Moment Invariants Matching Algorithm
Published 2011-01-01“…A new method for image recognition of train brake shoe based on edge moment invariants matching algorithm had been researched. The dynamic brake shoe images were taken by a vision sensor while the vehicle was moving. …”
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Research on Incipient Fault Location of Cable Based on Double-ended Current Measurement
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A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models
Published 2025-07-01“…These approaches can generally be categorized into three main techniques: pre-processing (modifying data before training), in-processing (incorporating fairness constraints during training), and post-processing (adjusting outputs after model training). …”
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Energy efficient adaptive clustering with QoS-aware CBRP and grey wolf optimization clustering algorithm for mobile ad-hoc network (MANET)
Published 2025-07-01“…The preliminary simulation operated using the NS2 model, showing that the GWOCA cluster is significantly higher than the traditional grouping methods, including cluster, cluster, Parent Cluster, and CBRP, in the main network performance. Our research states that GWOCA can reduce the delay by 30.66%, reduce energy consumption by 4.55% and the PDR (PDR) ratio is reduced by 10% compared to general methods. …”
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