Comparative Analysis of YOLO-Based Algorithms for Vehicle Detection in Aerial Imagery by A. Dustali, M. Hasanlou, S. M. Azimi

“…Real-time object detection has become an essential tool in applications such as traffic surveillance, autonomous vehicles, and industrial monitoring. Among various algorithms, the You Only Look Once (YOLO) series has garnered significant attention for its balance between speed and accuracy. …”
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RETRACTED: Comparative analysis of compression algorithms for four-dimensional light fields by R. G. Bolbakov, V. A. Mordvinov, A. D. Makarevich

“…The selected evaluation criterion is affected not only by the dimension of the compression algorithm, but also by the distance of the baseline of the capture setting, since the difference between images increases with the distance between the optical centers of each camera matrix. …”
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Adaptive image encryption approach using an enhanced swarm intelligence algorithm by Sachin Minocha, Suvita Rani Sharma, Birmohan Singh, Amir H. Gandomi

“…The performance of the proposed encryption approach is evaluated on grayscale, RGB, and hyperspectral medical images of different modalities, bit depth, and sizes. …”
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Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain by Jack Vice, Gita Sukthankar, Pamela K. Douglas

“…Here, we leveraged this class of algorithms to evolve a stable hexapod gait controller capable of traversing uneven terrain and obstacles. …”
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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…We propose a novel cross-validation method to evaluate co-occurrence network inference algorithms, and new methods for applying existing algorithms to predict on test data. …”
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Detection algorithm of electronic disguised voice based on convolutional neural network by Hongwei XU, Diqun YAN, Fan YANG, Rangding WANG, Chao JIN, Li XIANG

“…An electronic disguised voice detection algorithm based on the statistical features of MFCC and the convolution neural network was proposed.Firstly,the statistical features of MFCC were extracted and reconstructed as the input of convolution neural network.Considering the convolution kernel size,the number of convolution kernels and the pooling size,24 different network structures were evaluated in this work.Finally,the convolution neural network structure which could be effectively used for electronic disguised voice detection was determined.The experimental results show that the proposed algorithm can effectively detect the trace of electronic disguising.Meanwhile,the specific forgery operation of the electronic disguised voice can also be estimated.…”
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Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems by Ali Wagdy Mohamed, Abdulaziz S. Almazyad

“…This paper presents Differential Evolution algorithm for solving high-dimensional optimization problems over continuous space. …”
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Dimensionality Reduction Algorithms in Machine Learning: A Theoretical and Experimental Comparison by Ashish Kumar Rastogi, Swapnesh Taterh, Billakurthi Suresh Kumar

“…First, we discuss the theoretical foundation of a variety of FEAs from various categories like supervised vs. unsupervised, linear vs. nonlinear and random-projection-based vs. manifold-based, show their algorithms and compare these methods conceptually. Second, we determine the finest sets of new features for various datasets, as well as in terms of statistical significance, evaluate the eminence of the different types of transformed feature spaces and power analysis, and also determine the FEA efficacy in terms of speed and classification accuracy.…”
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A Closer Look at Invalid Action Masking in Policy Gradient Algorithms by Shengyi Huang, Santiago Ontañón

“…In this paper, we 1) show theoretical justification for such a practice, 2) empirically demonstrate its importance as the space of invalid actions grows, and 3) provide further insights by evaluating different action masking regimes, such as removing masking after an agent has been trained using masking.…”
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Sensitivity Analysis of a CPAM Inverse Algorithm for Composite Laminates Characterization by Farshid Masoumi, Ahmad Ghasemi Ghalebahman

“…The material characterization is first examined for isotropic plates under different boundary conditions to evaluate the method’s accuracy. …”
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Gaussian pulse shaping algorithm based on finite impulse response filters by HUANG Haixi, HONG Xu, LIU Junlong, SONG Xinru, LI Lin, ZHOU Chengzhuo

“…When performing Gaussian pulse shaping, errors introduced by hardware limitations may lead to differences in shaping results. Compared to infinite impulse response (IIR) filters, finite impulse response (FIR) filters have the advantage of being less affected by errors and more stable.PurposeThis study aims to propose a FIR filter-based Gaussian pulse shaping algorithm using impulse response functions, and realize a FPGA-based hardware implementation of this algorithm to evaluate the impact of hardware limitations on it.MethodsFirst of all, the discrete impulse response of Gaussian pulse shaping (GPS) was derived by means of impulse response invariant transformation, and shaped pulse waveforms under different quantization accuracies and truncation intervals were obtained using a computer simulation, so did that under Gaussian pulse shaping with or without additional truncation were assessed. …”
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A Scoring Algorithm for the Early Prediction of Academic Risk in STEM Courses by Vanja Čotić Poturić, Sanja Čandrlić, Ivan Dražić

“…The resulting scoring algorithm is distinguished by its methodological simplicity, ease of implementation, and adaptability to different educational settings, making it a practical tool for timely interventions.…”
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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

“…The efficacy of the algorithm is evaluated through testing on 16 standard functions, demonstrating its effectiveness in addressing constrained multi-objective problems. …”
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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

“…The sample data is preprocessed, and the differential evolution algorithm is introduced to search the node number and learning rate of the best hidden layer. …”
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An Improved Hybrid Genetic Algorithm with a New Local Search Procedure by Wen Wan, Jeffrey B. Birch

“…One important challenge of a hybrid genetic algorithm (HGA) (also called memetic algorithm) is the tradeoff between global and local searching (LS) as it is the case that the cost of an LS can be rather high. …”
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Religious Digital Creatives in Türkiye: A Research on the Axis of Algorithmic Authority by Yunus Ergen

“…This study aims to reveal who createsreligious digital content in Türkiye, to classify the structure of the content created, and to evaluate the level ofauthority of these creators in the focus of algorithmic authority. …”
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Advancement of the DRPE Encryption Algorithm for Phase CGHs by Random Pixel Shuffling by Alfonso Blesa, Francisco J. Serón

“…The similarity between different encryption levels is measured by the Pearson Coefficient to evaluate the results obtained.…”
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A Cluster-Based Consensus Algorithm in a Wireless Sensor Network by Yanwei Li, Zhenyu Zhou, Takuro Sato

“…With different DOI values, our ACDC gossip algorithm can still reach lower relative error compared with other gossip algorithms, which demonstrates that our algorithm is robust enough to be executed in the network.…”
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Validation of Material Algorithms for Femur Remodelling Using Medical Image Data by Shitong Luo, Xingquan Shen, Xin Bai, Jing Bai, Jianning Han, Yu Shang

“…The aim of this study is the utilization of human medical CT images to quantitatively evaluate two sorts of “error-driven” material algorithms, that is, the isotropic and orthotropic algorithms, for bone remodelling. …”
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An algorithm to generate correlated input-parameters to be used in probabilistic sensitivity analyses by Mohamed Neine, Desmond Curran

“…The algorithm was implemented in an HZ CEA model and evaluated for gamma and beta distributions. …”
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