4D trajectory lightweight prediction algorithm based on knowledge distillation technique by Weizhen Tang, Jie Dai, Zhousheng Huang, Boyang Hao, Weizheng Xie

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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…Simulation results show that the proposed algorithm improves the capacity of the system while ensuring the performance of fairness better compared with the algorithm in[10]. …”
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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…Simulation results show that the proposed algorithm improves the capacity of the system while ensuring the performance of fairness better compared with the algorithm in[10]. …”
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Comparative Study of Sphere Decoding Algorithm and FCS-MPC for PMSMs in Aircraft Application by Joseph O. Akinwumi, Yuan Gao, Xin Yuan, Sergio Vazquez, Harold S. Ruiz

“…To mitigate this, we reformulated the MPC framework using a two-norm cost function within a sphere decoding algorithm (SDA), which, at high sampling intervals (>40 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>s), resulted in an undershoot in the direct-quadrature axis. …”
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RESEARCH ON DYNAMIC PERFORMANCE OF GEAR SYSTEM BASED ON ORTHOGONAL DESIGN AND GENETIC ALGORITHM by WU ZhengWei, WU XunCheng, ZHANG JueCheng

“…Dynamic performance of gear system especially vibration was a typical nonlinear problem,while the vibration was closely related to the gear profile modification,the solving gear profile modification parameters was a nonlinear optimization problem. …”
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Localization Algorithm in Wireless Sensor Networks Based on Multiobjective Particle Swarm Optimization by Ziwen Sun, Li Tao, Xinyu Wang, Zhiping Zhou

“…Based on multiobjective particle swarm optimization, a localization algorithm named multiobjective particle swarm optimization localization algorithm (MOPSOLA) is proposed to solve the multiobjective optimization localization issues in wireless sensor networks. …”
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(ε,δ)-approximate counting algorithm for large scale wireless sensor networks by Jing-hua ZHU, Xue-min GUAN

“…The problem of approximate counting for large scale wireless sensor networks was studied.Two approximate counting algorithms,DBT-ACA and DBT-BACA,based on DBT (digital binary tree) protocol were also proposed.The algorithms presented could attain the counting result in O(log logn)time while meeting the(ε,δ)accuracy requirement.DBT-BACA exploits binary search,level-by-level forwarding and delay response technique to effectively reduce the query delay and transmission cost.Theoretical analysis and experimental results show that the proposed algorithms out-perform existing approaches in terms of estimation accuracy,time efficiency and energy cost.…”
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Use of Diagnostic Algorithms for *NTRK* Fusion-Positive Tumors in Pathology Institutes in Switzerland by Holger Moch, Gieri Cathomas, Milo Frattini, Wolfram Jochum, Erik Vassella, Laurence de Leval, Joachim Diebold, Christian Britschgi, Thomas McKee, Lukas Bubendorf

“…This review will discuss diagnostic algorithms based on underlying pathology that can be recommended for the detection of *NTRK* gene fusions in Switzerland.…”
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Estimating Parameters of a Probabilistic Heterogeneous Block Model via the EM Algorithm by Marianna Bolla, Ahmed Elbanna

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Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset by Najlaa Aldabagh, Mafaz Khalil

“…Genetic algorithms (GA) which is a model of genetic evolution, while Clonal selection theory (CST) is from models of the natural immune system NIS,  the two models are from two different fields of Artificial Intelligence AI but they have portion of shared operations and objectives. …”
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Service chain deployment algorithms for deterministic end-to-end delay upper bound by Ze’nan WANG, Jiao ZHANG, Shuo WANG, Tao HUANG, F.Richard Yu

“…To solve the problem that the current service chain deployment algorithms cannot guarantee the delay of each packet passing through the service chain (SC), a SC deployment algorithm for deterministic end-to-end delay upper bound was proposed.First, the end-to-end delay bound of the SC was derived based on network calculus.Then, the deterministic end-to-end delay bound of the SC was achieved by collaboratively optimizing the routing of SC and the resource allocation of the virtual network function nodes in the SC.The experimental results show that the proposed algorithm can effectively improve the volume of accepted SC while guaranteeing that the end-to-end delay of each packet satisfies the delay requirements.…”
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Variable granularity service function chain mapping algorithm based on microservice architecture by Xiaochun WU, Chen HONG, Yue ZHANG, Junnan ZHANG, Jingjing ZHOU

“…For the problem that the end-to-end delay of the service function chain (SFC) cannot meet the demand of delay-sensitive applications in 5G environment, a variable granularity service function chain mapping (VG-SFCM) algorithm based on microservice architecture was proposed by splitting the traditional virtualized network function (VNF) into mapping units of varying granularity.Firstly, the traditional coarse-grained VNF was decoupled into fine-grained microservice units, and then the instantiation of microservice units was reduced through the consolidation of redundant microservice units within SFC and the reuse of microservice units between SFC, thus reducing the processing time of SFC.The simulation results show that the algorithm reduces the end-to-end delay of SFC by 14.81% compared to the traditional mapping algorithm while reducing the average deployment network cost.…”
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The algorithmic dance: YouTube’s Adpocalypse and the gatekeeping of cultural content on digital platforms by Sangeet Kumar

“…These changes in turn have caused significant discontent within the creator community while also gradually transforming the predominant nature of content on the platform. …”
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Biological Image Processing Algorithm Based on Attention Mechanism and Convolutional Neural Network by Lisong Ou

“…This paper proposes a model algorithm based on convolutional neural network combined with attention mechanism to realize fast and accurate identification of biological image. …”
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Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley by S. E. Alavi, I. N. Petrenko

“…The paper describes a methodology based on the genetic algorithm that permits to automate the process for obtaining optimum rule bases while applying a controller based on a fuzzy logic. …”
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Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation by Mustafa Khanbhai, Catalina Carenzo, Sarindi Aryasinghe, David Manton, Erik Mayer

“…Technical infrastructure, including coding environments and packages for algorithm testing and deployment, was optimized. The algorithm was iteratively trained using bag of words from anonymized data, tailored to accommodate contextual variations, and tested for change in algorithm performance while simultaneously rectifying issues identified. …”
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YOLO-DLHS-P: A Lightweight Behavior Recognition Algorithm for Captive Pigs by Changhua Zhong, Hao Wu, Junzhuo Jiang, Chaowen Zheng, Hong Song

“…Firstly, the C2f-DRB structure is introduced at the Backbone position, and the sizeable convolutional kernel is used to extend the receptive field to enhance the spatial perception ability of the model, and to enhance the network&#x2019;s ability to capture spatial information while maintaining the number of learnable parameters and computational efficiency; The LSKA attention mechanism is then introduced to be integrated into the SPPF module to construct the SPPF-LSKA structure, which significantly improves the ability of the SPPF module to aggregate features at multiple scales; Then, the downsampling at the Neck position is optimised to the HWD algorithm, which reduces the spatial resolution of the feature map while retaining more useful information and reduces the uncertainty of the information compared with the downsampling method of the baseline model; finally, the Shape-IoU is used to replace the original CIoU, which significantly improves the detection efficiency and accuracy of the model without increasing the extra computational burden. …”
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Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review by Zhenli Chen, Jie Hao, Haixia Sun, Min Li, Yuan Zhang, Qing Qian

“…Methods A systematic search was conducted in PubMed and Web of Science for studies published up to December 2024 that applied AI algorithms in digital health for COPD management. Inclusion criteria focused on original research utilizing AI algorithms and digital health technologies for COPD, while review articles were excluded. …”
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Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model by Zhe Wang, Yang Wu, Yingjie Li, Qingwen Wang, Hongfei Yi, Hongyan Shi, Xinyue Sun, Chengxiang Liu, Kuanyu Wang

“…Cellprofiler and CLAM tools were used to extract pathological features, and machine learning algorithms and deep learning algorithms were used to construct prediction models. …”
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An Intelligent Gestational Diabetes Mellitus Recognition System Using Machine Learning Algorithms by Rasool Jader, Sadegh Aminifar

“… Diabetes mellitus is also called gestational diabetes when a woman has high blood sugar while she is pregnant. It can show up at any time during pregnancy and cause problems for the mother and baby during or after the pregnancy. …”
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