Cryptanalysis on Two Kinds of Number Theoretic Pseudo-Random Generators Using Coppersmith Method by Ran Zhang, Jingguo Bi, Lixiang Li, Haipeng Peng

“…Pseudo-random number generator (PRNG) is a type of algorithm that generates a sequence of random numbers using a mathematical formula, which is widely used in computer science, such as simulation, modeling applications, data encryption, et cetera. …”
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Oppositional chaotic artificial hummingbird algorithm on engineering design optimization by Vidyasagar Bhattacharjee, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The proposed OCAHA methodology incorporates the oppositional learning (OBL) in the population-initialization and at the ending event of each iteration for a faster convergence, and the chaos-embedded sequences of Gauss/mouse map to replace the random sequences of the three population-updating iterative stages of AHA, viz. guided, territorial and migration foraging to employ more diverse population for more solutional accuracy. …”
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine by Lei Zhang, Yujie Li, Yunhao Xu, Wei Wang, Guangyu Guo

“…Key transcription factors regulating critical gene programs were identified using a random forest model based on regulatory networks derived from the GTEx consortium. …”
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Localization of Acoustic Emission Source in Rock Using SMIGWO Algorithm by Jiong Wei, Fuqiang Gao, Jinfu Lou, Lei Yang, Xiaoqing Wang

“…To address these concerns, this paper develops a Simplex Improved Grey Wolf Optimizer (SMIGWO) algorithm. The randomly generating initial populations are replaced with the iterative chaotic sequences. …”
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Noise Reduction in LED-Based Photoacoustic Imaging by Takahiro Kono, Kazuma Hashimoto, Keisuke Fukuda, Uma Maheswari Rajagopalan, Kae Nakamura, Jun Yamada

“…Such jitters, in turn, would affect the M-sequence-based signal decoding. Therefore, we propose a new decoding algorithm which compensates for LED jitter in the M-sequence signal processing. …”
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Immune microenvironment and prognostic genes of triple-negative breast cancer in the context of transcriptome and single-cell sequencing by Xiangqin Huang, Wei Chen, Zhiwu Lin, Hui Zhang, Ruijuan Wang, Cailing Lin

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Optimizing DVA placement using evolutionary algorithms for dynamic beam loading by Podwórna Monika, Grosel Jacek

“…To address this challenge, a methodology that enables this task to be accomplished by means of an evolutionary algorithm is presented in this paper. A beam subjected to a sequence of forces with random amplitudes, which move at random time instances with a constant velocity, is considered. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…Methods Two multi-centric datasets, with 465 and 204 patients each, were used to extract 1246 radiomic features per patient and MRI sequence. Ten feature selection methods, such as Boruta, mRMRe, ReliefF, recursive feature elimination (RFE), random forest (RF) variable importance, L1-lasso, etc., four ML classifiers, namely SVM, RF, LASSO, and boosted generalized linear model (GLM), and three sets of radiomics features, derived from T2w images, ADC maps, and their combination, were used to develop predictive models of csPCa. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
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An Improved Multi-Chaotic Public Key Algorithm Based on Chebyshev Polynomials by Chunfu Zhang, Jing Bai, Yanchun Liang, Adriano Tavares, Lidong Wang, Tiago Gomes, Sandro Pinto

“…The improved cryptographic algorithm also utilizes chaotic hash functions and logistic mapping to generate pseudo-random sequences and overcomes shortcomings of the Bose algorithm by iteratively iterating the selected Chebyshev polynomials based on the number of 0s or 1s in the pseudo-random sequence, thus providing better security. …”
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization by Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG

“…ObjectivesTo address the challenges of path planning and tracking for underactuated ships in obstacle-filled waters, this paper proposes a ship path planning and tracking algorithm based on the rapidly exploring random tree (RRT*) and convex optimization. …”
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Romidepsin Used as Monotherapy in Sequence with Allogeneic Stem Cell Transplant in a Patient with Peripheral T-Cell Lymphoma by Nicholas Finn, Jean-Francois Larouche

“…Despite advances in the field, a clear treatment algorithm for most peripheral T-cell lymphoma (PTCL) subtypes remains to be defined. …”
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Enhanced Viral Genome Classification Using Large Language Models by Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain

“…In the realm of machine learning, several models are employed for genome sequence classification. Among these are traditional algorithms such as Random Forest (RF), K-nearest neighbors (KNNs), Decision Tree (DT), and Naive Bayes (NB), each offering unique advantages in handling genetic data. …”
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A Random Degradation Aggregation Network With Temporal-Spatial Attention for Satellite Video Super-Resolution by Lu Li, Mi Wang, Yingdong Pi

“…To address these challenges, we propose an innovative random degradation aggregation network with temporal-spatial attention for satellite VSR. …”
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Noise Radar Waveform Design Using Evolutionary Algorithms and Negentropy Constraint by Afonso L. Sénica, Paulo A. C. Marques, Mário A. T. Figueiredo

“…However, the nature of random sequences introduces several issues, such as fluctuations in the range sidelobes of the autocorrelation function causing high sidelobe levels, hence not exploitable by radar systems. …”
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A Novel Gaussian Ant Colony Algorithm for Clustering Cell Tracking by Mingli Lu, Di Wu, Yuchen Jin, Jian Shi, Benlian Xu, Jinliang Cong, Yingying Ma, Jiadi Lu

“…Through experiments on two real cell sequences, it is confirmed that our proposed algorithm could automatically track clustering cells in various scenarios and has enabled superior performance compared with other state-of-the-art approaches.…”
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Mass, Luminosity, and Stellar Age of Early-type Stars from the LAMOST Survey by Qida Li, Jianping Xiong, Jiao Li, Yanjun Guo, Zhanwen Han, Xuefei Chen, Chao Liu

“…The convex hull algorithm is employed to select the main-sequence stars. …”
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GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data by Muhammad Iqbal, Arshad Iqbal, Humaira Ayub, Maqbool Khan, Naveed Ahmad, Yasir Javed, Mohammed Ali Alshara

“…This study specifically investigated the effectiveness of decision tree, random forests, and support vector classification (SVC) algorithms in distinguishing different glaucoma genotypes. …”
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A Mathematical Approach for Computing the Linear Equivalence of a Periodic Key-Stream Sequence Using Fourier Transform by Baghdad Science Journal

“…A mathematical method with a new algorithm with the aid of Matlab language is proposed to compute the linear equivalence (or the recursion length) of the pseudo-random key-stream periodic sequences using Fourier transform. …”
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Order Picking Problem: A Model for the Joint Optimisation of Order Batching, Batch Assignment Sequencing, and Picking Routing by Antonio Maria Coruzzolo, Francesco Lolli, Elia Balugani, Elisa Magnani, Miguel Afonso Sellitto

“…As both models were too complex to test, the earliest due date constructive heuristic algorithm was developed. To improve the solution, we implemented various algorithms, from multi-start with random ordering to more complex like iterated local search. …”
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