Research on the algorithm for reducing the PAPR of OFDM system based on quantum chaotic mapping by Yingjie MA, Geng ZHAO, Zhanzhen WEI, Zhaobin LI, Lei JU

“…Aiming at the high peak to average power ratio (PAPR) problem of OFDM system,a modified selective mapping algorithm based on quantum loigstic chaotic map was proposed.To solve the problem of fixed point and stable window,the quantum loigstic chaotic maps were used as random phase sequence vectors,which provided a large number signals with fine correlation and random characteristics,easy to produce and regenerate.Matlab simulation results show that the proposed algorithm effectively reduces the PAPR,increases the numbers of candidate signals,cuts down the amount of redundant information transmission,bring down the side band power.The proposed scheme has a broad application prospect in OFDM system.…”
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THE CLASS OF PERFECT TERNARY ARRAYS by A. V. Sokolov, O. N. Zhdanov

“…In recent decades, perfect algebraic constructions are successfully being use to signal systems synthesis, to construct block and stream cryptographic algorithms, to create pseudo-random sequence generators as well as in many other fields of science and technology. …”
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A 3D Offline Packing Algorithm considering Cargo Orientation and Stability by Xianpei Wang, Li Gong, Haocheng Zhao, Bowen Li, Meng Tian

“…Aiming at the information of the packing sequence and the rotating state of the box in the packing scheme, a two-stage real number encoding method and decoding method based on random keys are designed, and a crossover operation based on partial random keys and uniform crossover is designed. …”
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Identification of microsatellite loci according to BAC sequencing data and their physical mapping to the bread wheat 5B chromosome by M. A. Nesterov, D. A. Afonnikov, E. M. Sergeeva, L. A. Miroshnichenko, M. K. Bragina, A. O. Bragin, G. V. Vasiliev, E. A. Salina

“…Totally, 130 randomly selected BAC clones from the 5BS library were sequenced on the Ion Torrent platform and assembled in contigs using MIRA software. …”
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Multi-camera association tracking algorithm for pedestrian target based on difference image by Shuai Ren

“…The current pedestrian target tracking algorithm (such as adjacent frame matching target tracking algorithm, deep learning YOLOv5 algorithm, etc.) ignores pedestrian foreground image segmentation, resulting in significant errors in pedestrian target tracking and insufficient tracking results. …”
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A new APSO-SPC method for parameter identification problem with uncertainty caused by random measurement errors by Peng Zhong, Xuanlong Wu, Li Zhu, Aohao Yang

“…The APSO algorithm improves the heterogeneous comprehensive learning particle swarm optimization algorithm (HCLPSO) based on the dynamic evolution sequence (DES), improving computational efficiency for each deterministic parameter identification process. …”
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A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance by Anju Kalwar, Deepika Shekhawat, Sandeep Joshi, Amit Kumar Bairwa

“…In our approach, each learner’s context information, as well as performance metrics, preferences and learning goals, are dynamic and fed into the GA. The algorithm genetically generates a random vote of potential content sequences as the initial population that improves through creation by selection, crossover, or mutation. …”
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Image Encryption Based on High-Dimensional Manifold Computing and Block Dividing Algorithm by Meng Jia

“…Combining with the divided blocks diffusion algorithm, the novel scheme yields the cipher image more randomly. …”
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Application of Improved Whale Algorithm to Optimize Dephosphorization Process Parameters in Converter Steelmaking by Congrui Wu, Yueping Kong

“…The methodology constructs a physics-informed objective function linking process parameters to optimization targets, thereby resolving the disconnect between mechanistic and data-driven modeling approaches. The algorithm innovatively combines Sobol quasi-random sequences with grey wolf social hierarchy strategies to prevent premature convergence in high-dimensional search spaces while maintaining Pareto front diversity, supplemented by a reward mechanism to ensure strict adherence to multi-objective constraints. …”
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Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

“…We then trained random forest models independently on genome composition biases of spike protein and whole genome sequences, including dinucleotide and codon usage biases in order to predict animal host (of nine possible categories, including human). …”
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Enhanced Multi-Criteria DNA Sequence Analysis Using Neutrosophic Logic and Deep Learning: An Integrated Approach for Comparison and Classification by Romany M. Farag, Mahmoud Y. Shams, Dalia A. Aldawody, Hazem M. El-Bakry, Huda E. Khalid, Ahmed K. Essa, A. A. Salama

“…Therefore, we propose a system we call the "Advanced DNA Comparator," which converts DNA sequences to digital representations using Word2Vec (similar to how humans understand words), uses neutrosophic logic as a tool for understanding ambiguity, and then applies classification to a random forest algorithm. …”
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Performance of the Direct Sequence Spread Spectrum Underwater Acoustic Communication System with Differential Detection in Strong Multipath Propagation Conditions by Jan H. SCHMIDT, Iwona KOCHAŃSKA, Aleksander M. SCHMIDT

“…One of the techniques to achieve this goal is the direct sequence spread spectrum (DSSS) technique, which consists in binary phase shift keying (BPSK) according to a pseudo-random spreading sequence. …”
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A New Encryption Algorithm Utilizing DNA Subsequence Operations for Color Images by Saeed Mirzajani, Seyed Shahabeddin Moafimadani, Majid Roohi

“…These algorithms typically operate in two phases: shuffling and replacement. …”
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Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer by Yanyan Hu, Ximo Xu, Hao Zhong, Chengshen Ding, Sen zhang, Wei Qin, Enkui Zhang, Duohuo Shu, Mengqin Yu, Naijipu Abuduaini, Xiao Yang, Bo Feng, Jianwen Li

“…Patients were stratified into subtypes through consistent clustering, and a tryptophan metabolic risk score model was constructed using the random forest algorithm. Based on these risk scores, patients were delineated into high and low-risk groups, and their clinicopathologic characteristics, immune cell infiltration, immune checkpoint expression, and signaling pathway disparities were examined. …”
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Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer by Zhuang Li, Yi Su, Yongbin Cui, Yong Yin, Zhenjiang Li

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Structure Optimization of Mixed-Speed Train Traffic for Cyclic Timetable: Model and Algorithm Development by Jiamin Zhang, Jiarui Zhang

“…For the multiobjective in MSTTP, three indicators are optimized, i.e., heterogeneity, cycle time, and buffer time, which correspond to diversity of train service toward passenger, capacity consumption of rail network, and stability of train operation, respectively. Secondly, the random-key genetic algorithm (RKGA) is proposed to tackle the sequence and headway simultaneously. …”
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Zero Watermarking Algorithm for Hyperspectral Remote Sensing Images Considering Spectral and Spatial Features by Bingbing Yang, Haowen Yan, Liming Zhang, Qingbo Yan, Zhaoyang Hou, Xiaolong Wang, Xinyu Xu

“…The mixed linear-nonlinear coupled map lattice chaotic system generates a random sequence, which is XORed with the binarized watermark sequence to produce the final binary watermark sequence. …”
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Mixed Production Line Optimization of Industrialized Building Based on Ant Colony Optimization Algorithm by Xiaobo Chen, Fangfang Yu, Hengyu Zhou, Zhengdao Li, Kuo-Jui Wu, Xikun Qian

“…In order to optimize the large random orders in the prefabricated components production process, this research proposes a model to minimize variance of the production capacity utilization of prefabricated components in the production cycle, and the ant colony optimization algorithm is introduced to solve the mixed production line sequencing optimization problem. …”
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A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems by Bilal Khurshid, Shahid Maqsood, Muhammad Salman Habib, Muhammad Omair, Seung-June Hwang

“…The sequence on the last 60% of machines is altered only so that the makespan is minimized and a good non-permutation sequence is found. …”
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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…To reduce the complexity of the time series decomposition and clustering methods were employed. Then, the high sequences underwent processing using the optimized random forest algorithm, and the remaining sequences were subjected to processing utilizing optimized bidirectional long short-term memory. …”
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