Search Results - evaluation algorithms

Design and Validation of a Lightweight Entropy-Based Intrusion Detection Algorithm for Automotive CANs by Jiacheng Chen, Zhifu Wang

“…Evaluated in terms of detection accuracy, false positive rate, and sensitivity to bus load variations, the algorithm was implemented on an NXP MPC-5748G embedded platform through the AutoSar Framework. …”
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Artificial potential field path length reduction using Kenneth-Nnanna-Saleh algorithm by Kenneth Christopher Ugwoke, Nnanna Nwojo Agwu, Saleh El-Yakub Abdullahi

“…The algorithm takes an APF path that is generated from the problem domain as input, evaluates angles at each point, and compares the angle with a pre-defined threshold angle to remove or retain the point in the resultant KNS path. …”
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Utilizing Evolutionary Mating Algorithm Optimized Deep Learning to Assess Cardiovascular Diseases Risk by Ahmed Alsarori, Mohd Herwan Sulaiman

“…This study addresses this gap by proposing a deep learning-based risk assessment model optimized with the Evolutionary Mating Algorithm (EMA) to enhance prediction accuracy and efficiency. …”
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Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

“…To improve the performance of Wireless Sensor Networks (WSN), this study offers a novel energy-efficient clustering and routing technique based on the Coot Optimization Algorithm (COA). This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement.…”
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Cache Contention Aware Virtual Machine Placement and Mitigation Using Adaptive ABC Algorithm by Bharati Ainapure, Nishu Gupta, Mohammad Derawi

“…The migration process is repeated iteratively until the cloud system achieves a contention-free state. The AABC algorithm evaluates metrics such as the total number of misses, computation time, and cache access, providing a comprehensive view of VM performance. …”
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Low-Light Image Enhancement Algorithm Integrating Retinex Illumination Estimation and Multi-Attention by Yaping Jiang, Shixian Guo

“…Comprehensive quantitative and qualitative evaluations across seven benchmark datasets validate the proposed algorithm effectively removes artifacts, significantly improves image quality, and enhances visual perception.…”
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An Improved Interpolation Algorithm for Surface Meteorological Observations via Fuzzy Adaptive Optimisation Fusion by Xiaoya Jiang, Xiong Xiong, Wenlan Wang, Xiaoling Ye, Xin Chen, Yihu Wang, Fangjian Zhang

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Algorithm for Performing Laser Iridectomy in Patients with Angle-Closure Glaucoma and Concomitant Somatic Pathology by E. I. Belikova, G. A. Sharova

“…Somatic comorbidity (autoimmune, allergic, chronic infectious diseases) affects the results of laser iridectomy.Purpose: to evaluate in practice the algorithm for applying the method of laser iridectomy in compliance with preventive measures, including medical support before and after surgery, both in patients with concomitant somatic pathology and without it.Patients and methods. …”
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A Novel Nature-Inspired Optimization Algorithm: Grizzly Bear Fat Increase Optimizer by Moslem Dehghani, Mokhtar Aly, Jose Rodriguez, Ehsan Sheybani, Giti Javidi

“…This paper introduces a novel nature-inspired optimization algorithm called the Grizzly Bear Fat Increase Optimizer (GBFIO). …”
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Harmonic mitigation for symmetrical cascaded h-bridge inverter using sparrow search algorithm by Daniel Igenumah Tennyson, Abdussamad Umar Jibia, Ibrahim Haruna Shanono, Nasiru Bello Kadandani

“…A comparative analysis with the Genetic Algorithm (GA) is conducted, evaluating total harmonic distortion (THD) and convergence reliability. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…And the research method can effectively evaluate the status of wind energy resources, with low time complexity at different data scales, taking no more than 5 seconds, and improving operational efficiency. …”
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Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss by Rui Zhang, Yuanbing Guo, Xiaonan Zhai, Juan Wang, Xiaoyan Hao, Liu Yang, Lei Zhou, Jiawei Gao, Jiayun Liu

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.ResultsMultivariate analysis revealed significant differences in several factors between the patients and the control group. 25-hydroxy vitamin D3 (25OHVD3) was the factor exhibiting the most prominent difference, and most patients presented deficiency in the levels of this vitamin. 25OHVD3 is associated with blood lipids, hormones, thyroid function, human papillomavirus infection, hepatitis B infection, sedimentation rate, renal function, coagulation function, and amino acids in patients with infertility. …”
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Implementation of a Second-Order TVD Transport Algorithm in the General Ocean Model (GOM) by Jungwoo Lee, Jun Lee, Sang-Leen Yun, Seog-Ku Kim

“…The implemented transport algorithm is evaluated using two standard test cases, an ideal lock exchange problem and a U-shaped channel problem, and it is further applied to simulate salinity dynamics in Mobile Bay, Alabama. …”
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Enhancing computational efficiency in solving Knapsack problem: insights from algorithmic parallelization and optimization by Bashar Bin Usman, Okeyinka Aderemi Elisha, Ibrahim Abdullahi, Idris Rabiu, Adamu Isah, Abdulganiyyu Abdulrahman

“…This study optimized some approximate algorithms: greedy, dynamic programming, and branch-and-bound for the Knapsack problem with specific objectives of evaluating their time and program complexity, comparing efficiencies, and enhancing performance. …”
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Acceptance testing of a CT scanner with a knowledge-based iterative reconstruction algorithm by Maryangel Jhoseline Medina, Francisco Javier Funes, Aley Palau, Vanesa María Sanz, Amilcar Remigio Osorio, Mauro Namías

“…In this work, we present the results of the acceptance testing of a Philips iCT Elite scanner with the IMR reconstruction algorithm. A Catphan 500 phantom was used for this purpose. …”
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Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

“…However, this is the first study to evaluate MGU in the context of PV forecasting, and its performance may vary under different case studies. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…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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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…Therefore, we propose MTEPN as an innovative deep convolutional neural network algorithm specifically designed to perform multiple visual tasks concurrently. …”
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Basic parameters in speech processing. The need for evaluation by Harald HÖGE

“…A framework based on competitive evaluation is proposed to push algorithmic research and to make progress comparable.…”
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Empirical evaluation of parallel implementations of MergeSort by José Eduardo Solsona, Sergio Nesmachnow

“… Sorting algorithms are a fundamental piece in the development of computer systems. …”
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