Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering by Zhengjiang Wu, Xuyang Wu, Junwei Luo

“…The experimental results show that our proposed algorithm can effectively reduce the randomness of label selection, improve the purity, completeness, and F-Measure and reduce the runtime of metagenome sequence clustering.…”
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Multiple image encryption algorithm using channel randomization and multiple chaotic maps by Khalid M. Hosny, Yasmin M. Elnabawy, Rania A. Salama, Ahmed M. Elshewey

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Blind estimation of pseudo-random codes in non-periodic long code direct-sequence spread-spectrum signals by HAOZhi-jin Z, UXiao-wei G, HENLei S, HANYi Z

“…The existence of common peaks in triple correlation functions of different m-sequences is proven based on the detail study of the characteristics of triple correlation functions of m-sequences,the features of common peaks and the direct relationship between common peak coordinates and the primitive polynomials of m-sequences are deduced.An es-timation algorithm of pseudo-random (PN) codes in non-periodic long code direct-sequence spread-spectrum (NPLC-DSSS) signals is proposed based on the above theories.Simulations under additive white Gaussian noise show that the probability of spreading code and scrambling code being both correctly estimated can reach 99% when the signal with a quarter of the cycle length of the long PN code is used only and the signal-to-noise ratio is greater than 4dB.…”
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A Secure Lightweight Cryptographic Algorithm for the Internet of Things (IoT) Based on Deoxyribonucleic Acid (DNA) Sequences by Archana S Nadhan, Jeena Jacob I

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GATCGGenerator: New Software for Generation of Quasirandom Nucleotide Sequences by O. Yu. Kiryanova, R. R. Garafutdinov, I. M. Gubaydullin, A. V. Chemeris

“…In fact, they generate sequences by distributing nucleotides randomly. The objective of this work is to create a generator of quasirandom sequences with a special nucleotide structure. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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SEQUENCING OPTICAL IMAGES APPROXIMATED BY HOMOGENEOUS, ONE-DIMENSIONAL POINT RENEWAL PROCESS by Alexander I. Kochegurov, Dmitriy V. Dubinin, Viktor Geringer

“…The type of the constituent elements of the vector field (the alphabet, which determines the morphology of the field on the image plane) is chosen randomly. The proposed approach will produce various types of interconnected digital sequences of images with horizontal, vertical and diagonal elements; create the prerequisites for efficient and flexible motion analysis on digital video sequences; make it possible to use the probabilistic factor in researching image processing algorithms and comparing the algorithms based on a detailed factor analysis.…”
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An Iterative Optimization Algorithm for Planning Spacecraft Pathways Through Asteroids by Valentino Santucci

“…Specifically, we assess the performance of a simple algorithm called FAT-RLS, which primarily relies on a randomized local search approach, enhanced with a tabu structure and a mechanism to adjust the perturbation strength. …”
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Network Embedding Algorithm for Vulnerability Assessment of Power Transmission Lines Using Integrated Structure and Attribute Information by Xianglong Lian, Tong Qian, Zepeng Li, Xingyu Chen, Wenhu Tang, Q. H. Wu

“…Subsequently, based on the weighted degree of nodes in the two-layered network, the inter-layer and intra-layer walking transition probabilities are developed to obtain walk sequences. Then, a Word2Vec algorithm is applied to obtain low-dimension vectors representing transmission lines, according to obtained walk sequences for calculating the vulnerability index of transmissions lines. …”
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Rice cropping sequence mapping in the tropical monsoon zone via agronomic knowledge graphs integrating phenology and remote sensing by Hongzhang Nie, Yingchen Lin, Wenfei Luo, Guilin Liu

“…Thus, we proposed a simple and efficient strategy from an agronomic knowledge graph perspective in which specific phenological events of rice and Landsat/Sentinel-2 time series were employed to extract different rice cropping sequences on the Leizhou Peninsula (China). Then, a control group and five experimental groups were established by integrating spectral features via pixel- and object-based random forest (RF) algorithms. …”
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Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments by Wenqiang Wu, Chuixin Kong, Zhongmin Xiao, Qianping Huang, Mingfeng Yu, Zhiye Ren

“…This paper introduces a multi-indicator heuristic evaluation-based rapidly exploring random tree (MIHE-RRT) algorithm to address the key challenges of robot path planning in complex environments. …”
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Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples by Jochen Maurer, Matthias Rübner, Chao-Chung Kuo, Birgit Klein, Julia Franzen, Julia Wittenborn, Tomas Kupec, Laila Najjari, Peter Fasching, Elmar Stickeler

“…Design and methods: Here, we present the first proof-of-concept approach for sequencing miRNAs in female urine to detect breast cancer and, subsequently, intrinsic subtype-specific miRNA patterns and implement in this regard a novel random forest algorithm. …”
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A New Robust Algorithm for Fault-Plane Parameters Identification: The 2009 L’Aquila (Central Italy) Seismic Sequence Case by Annarita Mangiacapra, Zaccaria Petrillo, Sergio Scippacercola, Luisa Valoroso, Rosa Nappi, Giuliana Alessio, Simona Tripaldi

“…The likelihood function is useful to individuate the best value of the fault thickness and to test the hypothesis of fault flatness. Our algorithm was tested on simulated data and then successfully applied to the real case of the 2009 Mw6.1 L’Aquila (Central Italy) seismic sequence.…”
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Crowdsourcing Evaluation of Video Summarization Algorithm by Avrajyoti Dutta, Dawid Juszka, Mikołaj Leszczuk

“…In this study, we offer a crowdsourcing subjective experiment in which summaries of processed video sequences are evaluated. Thus, we are proposing an experiment that utilizes crowdsourcing to evaluate the efficacy of an algorithm that summarizes videos. …”
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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis by Jingtai Ma, Jingtai Ma, Yiting Fang, Yiting Fang, Shiqi Li, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu, Wei Wu

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Biomarker identification and gene-drug interaction prediction for breast cancer using machine learning algorithms by Raja Abhavya, Pragya Pragya, Sabitha R., Kumar Brijesh, Agastinose Ronickom Jac Fredo

“…Further, machine learning algorithms, such as logistic regression, support vector machine, and random forest, were used to identify the differentially expressed genes (DEGs). …”
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Dual-platform integration of HPTLC and firefly algorithm-optimized chemometrics with hammersley sequence sampling for simultaneous quantification of bisoprolol, amlodipine, and mut... by Lateefa A. Al-Khateeb, Ahmed Emad F. Abbas, Mohamed R. Elghobashy, Nisreen F. Abo Talib, Ibrahim A. Naguib, Mohammed Alqarni, Michael K. Halim

“…The FA-PLS model incorporated a novel Hammersley Sequence Sampling (HSS) strategy for validation set construction, ensuring uniform concentration space coverage and eliminating sampling bias inherent in conventional random approaches. …”
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Improving doublet cell removal efficiency through multiple algorithm runs by Yong She, Chaoye Wang, Qi Zhao

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Random Strip Peeling: A novel lightweight image encryption for IoT devices based on colour planes permutation by Kenan İnce, Cemile İnce, Davut Hanbay

“…These stages are generally implemented linearly, but this work introduces a new RSP (Random Strip Peeling) algorithm for the confusion step, which disrupts linearity in the lightweight category by using two different sequences generated by the 1D Tent Map with varying initial conditions. …”
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