Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

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Dynamic load balancing algorithm based on queuing theory comprehensive index evaluation by Wenbo WANG, Qingwei YE, Yu ZHOU, Zhihua LU

“…Internet communication,computer cluster and cloud environment have complex and dynamic characteristics,which can cause load imbalance easily,reduce the service efficiency and increase the energy consumption.Therefore,the load balancing technology becomes the focus of research.The existing load balancing strategy uses the occupancy of CPU,memories,processes to estimate the current load of each server.But it is hard to guarantee its accuracy.Aiming at this problem,a dynamic load balancing algorithm based on queuing theory comprehensive index evaluation was proposed.Firstly,queuing theory model was introduced to estimate the real-time load of each server,and then the tasks of input queue was distributed to each server separately according to the load comprehensive index of each server.Experimental results show that this method can balance the load of each server effectively and reduce the average waiting time of the task requests,which is of great application value.…”
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Distributed consensus algorithms for crossdomain data management: state-of-the-art, challenges and perspectives by Weiming LI, Tong LI, Dafang ZHANG, Longchao DAI, Yunpeng CHAI

“…With the exponential growth of data and the company's cross-domain disaster recovery requirements, companies increasingly need to manage data across spatial domains.Cross-domain data management requires a distributed consensus algorithm to make the data consistent.However, the existing distributed consensus algorithms only consider the situation of a single data center, and do not consider the uncertainty of network communication between data centers, so they face long log synchronization delays and low system throughput in cross-space region scenarios and other issues.The current status and new challenges of distributed consensus algorithms in the cross-space domain were sorted out systematically, and the technical route to solve these challenges was looked forward.…”
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The Artificial Bee Colony (ABC) Algorithm for Estimating Parameter of Epidemic Influenza Model by Agus Suryanto, Syaiful Anam

“…The Artificial Bee Colony (ABC) is one of the stochastic algorithms that can be applied to solve many real-world optimization problems. …”
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Econometric Modeling Combining MCMC Algorithm and Random Coefficient Quantile AR Model by Ting Wang

“…The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. …”
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Multi-Objective Intelligent Routing Algorithm for LEO Satellite Networks Based on DQN by LUO Zongyi, JIN Shichao, DONG Tao, YIN Jie

“…This paper first summarized the current development status of LEO networks and the main LEO network routing algorithms. …”
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Research of wavelet analysis in hydropower station feeder fault quick detection algorithm by Wan Haoping

“…A feeder microcomputer protection algorithm based on Symlets5 wavelet is proposed to address the current situation of long sampling algorithm time in commonly used microcomputer relay protection devices for hydropower station feeders, as well as the increasingly strict timeliness requirements for cutting off faults in modern relay protection devices. …”
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Research on geomagnetic indoor high-precision positioning algorithm based on generative model by Shuai MA, Ke PEI, Huayan QI, Hang LI, Wen CAO, Hongmei WANG, Hailiang XIONG, Shiyin LI

“…Aiming at the current bottleneck of constructing a fine geomagnetic fingerprint library that required a lot of labor costs, two generative models called the conditional variational autoencoder and the conditional confrontational generative network were proposed, which could collect a small number of data samples for a given location, and generate pseudo-label fingerprints.At the same time, in order to solve the problem of low positioning accuracy of single-point geomagnetic fingerprints, a geomagnetic sequence positioning algorithm based on attention mechanism of convolutional neural network-gated recurrent unit was designed, which could effectively use the spatial and temporal characteristics of fingerprints to achieve precise positioning.In addition, a real-time, portable mobile terminal data collection and positioning system was also designed and built.The actual test shows that the proposed model can effectively construct the available geomagnetic fingerprint database, and the average error of the proposed algorithm can reach 0.16 m.…”
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Improved Stochastic Gradient Matching Pursuit Algorithm Based on the Soft-Thresholds Selection by Zhao Liquan, Hu Yunfeng

“…The preliminary atom set exits redundant atoms in the stochastic gradient matching pursuit algorithm, which affects the accuracy of the signal reconstruction and increases the computational complexity. …”
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Plagiarism types and detection methods: a systematic survey of algorithms in text analysis by Altynbek Amirzhanov, Cemil Turan, Alfira Makhmutova

“…This paper presents a systematic survey of various types of plagiarism and the detection algorithms employed in text analysis. We categorize plagiarism into distinct types, including verbatim, paraphrasing, translation, and idea-based plagiarism, discussing the nuances that make detection complex. …”
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Non‐Autoregressive Translation Algorithm Based on LLM Knowledge Distillation in English Corpus by Fang Ju, Weihui Wang

“…In the experimental phase, we utilized several standard English corpora to train and assess our algorithm. The findings indicate that, compared to current machine translation systems, our method significantly reduces the need for computational resources while preserving translation quality.…”
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Energy-Efficient Prediction Clustering Algorithm for Multilevel Heterogeneous Wireless Sensor Networks by Jian Peng, Tang Liu, Hongyou Li, Bing Guo

“…Simulation results show that compared with current clustering algorithms, this algorithm can achieve longer sensor network lifetime, higher energy efficiency, and superior network monitoring quality.…”
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Optimization and design of electromechanical control automation based on dual motor control algorithm by Wei Lu

“…IntroductionIn response to the high demand for dynamic characteristics and control in current electromechanical automatic control systems.MethodsThis study first analyzes the dual motor system. …”
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Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce by Tengfei Zhang, Fumin Ma, Jie Cao, Chen Peng, Dong Yue

“…Parallel attribute reduction is one of the most important topics in current research on rough set theory. Although some parallel algorithms were well documented, most of them are still faced with some challenges for effectively dealing with the complex heterogeneous data including categorical and numerical attributes. …”
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Pediatric mechanical circulatory support: pathophysiology of pediatric hemostasis and postoperative management algorithms by N. N. Koloskova, T. A. Khalilulin, D. V. Ryabtsev, V. N. Poptsov

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Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association by Huaxin Yu, Xiaofei Zhang, Xueqiang Chen, Hailang Wu

“…A low-complexity DOA tracking algorithm in monostatic MIMO radar is proposed. The proposed algorithm obtains DOA estimation via the difference between previous and current covariance matrix of the reduced-dimension transformation signal, and it reduces the computational complexity and realizes automatic association in DOA tracking. …”
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An Improved Chaos Genetic Algorithm for T-Shaped MIMO Radar Antenna Array Optimization by Xin Fu, Xianzhong Chen, Qingwen Hou, Zhengpeng Wang, Yixin Yin

“…For MIMO radar, the improved chaos genetic algorithm proposed in this paper obtains lower side-lobe level through optimizing the exciting current amplitude. …”
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Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization by Sebastián V. Romero, Anne-Maria Visuri, Alejandro Gomez Cadavid, Anton Simen, Enrique Solano, Narendra N. Hegade

“…Here, we present an enhanced bias-field digitized counterdiabatic quantum optimization (BF-DCQO) algorithm to address higher-order unconstrained binary optimization (HUBO). …”
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Improved Genetic Algorithm for English Information Education and Teaching Quality Impact Analysis by Yuanbo Li, Wanhe Song

“…This paper proposes an improved genetic algorithm for English informatics education scheduling system to address the problem of the contradiction between the rapidly increasing number of students and the limited teaching resources in the current English scheduling in universities. …”
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Least square algorithm for correcting high voltage arc edge discharge parameters by Zhixin Ou

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