Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

“…Then, we formulate an optimization problem to be solved at edge devices. We customize a benchmark algorithm, FedAvg, to obtain a new elastic optimization algorithm (FedEN) which is applied in local training of edge devices. …”
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Research on PBS buffer scheduling strategy problems based on genetic algorithms by Zhang Yaodan, Shi Yuanbo, Xu Jianjun, Wei Zhiye

“…A genetic algorithm optimized vehicle selection from the PBS, adhering to constraints.Analysis showed this method improved efficiency by nearly 40% compared to traditional linear scheduling. …”
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Utility Optimization of Federated Learning with Differential Privacy by Jianzhe Zhao, Keming Mao, Chenxi Huang, Yuyang Zeng

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Low error floor LT coding algorithm for unequal error protection by Xin SONG, Shuyan NI, Zhe ZHANG, Yurong LIAO, Tuofeng LEI

“…Conclusions: In this paper, a systematic unequal error protection LT coding scheme is designed, and a check degree distribution design model suitable for this scheme is constructed to solve the problem of high error floor existing in the conventional UEP-LT algorithm in the AWGN channel.The main idea of this scheme is to design fixed coding segments,rateless coding segments and systematic node segments and transmit them in sequence.The advantage of this scheme is that it can provide non-zero LLR information as early as possible for information nodes, and make the MIB and the LIB obtain different and flexibly adjustable average degrees.In addition,based on the extrinsic information transfer(EXIT)chart,the check degree distribution is designed for the fixed segment and the rateless segment,so that the MIB can obtain the optimal protection performance,and the convergence performance of the LIB can be improved as much as possible. …”
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Optimization of Steering Torque for Suspended Monorail Vehicle by Fei TANG, Yao LI, Fucheng ZHU, Long RAN

“…Finally, the influence of significant system dynamics parameters was taken as the optimal design variables, the vehicle curve passability and stationarity were taken as the optimization constraints, the NSGA-II genetic algorithm was used as the optimization algorithm, the multi-body dynamics software (ADAMS) and multi-objective optimization software (modeFRONTIER)were combined to optimize the steering torque of the suspended monorail vehicle, and the effectiveness and feasibility of the optimization results were verified. …”
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Observation optimization for marine target tracking by airborne and maritime unmanned platforms cooperation using adaptive enhanced dung beetle optimization by Qiuyang Dai, Faxing Lu, Haoran Shi, Junfei Xu, Jianjing Qu

“…Abstract Cooperative observation optimization for maritime targets is crucial for improving marine monitoring precision. …”
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Optimization of costs in the enterprise. Effective strategies for business by N. Yu. Pracheva

“…The author offers an algorithm of actions for entrepreneurs who are ready to solve the optimization problem in a complex way.…”
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Hybrid Denoising Algorithm for Architectural Point Clouds Acquired with SLAM Systems by Antonella Ambrosino, Alessandro Di Benedetto, Margherita Fiani

“…The sudden development of systems capable of rapidly acquiring dense point clouds has underscored the importance of data processing and pre-processing prior to modeling. This work presents the implementation of a denoising algorithm for point clouds acquired with LiDAR SLAM systems, aimed at optimizing data processing and the reconstruction of surveyed object geometries for graphical rendering and modeling. …”
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Revocation encryption scheme based on domestic cryptographic algorithm SM9 by XIE Zhenjie, ZHANG Wanli, ZHANG Yao, ZHAO Fangfang, LIU Shengli

“…To address the limitations of lengthy system public keys and inefficient decryption in existing identity-based revocation encryption schemes, an optimized revocation encryption scheme was proposed based on SM9, China’s independently developed identity-based cryptographic algorithm. …”
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Topology optimization of a cargo gripper design using the minimum effort principle by Gnezdilov S.G.

“…The study emphasizes accounting for varied load scenarios (e.g., sheet tilting) for future refinement. It confirms the algorithm’s effectiveness in simplifying models and highlights iterative refinement for rational topology. …”
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Python-Based Visual Classification Algorithm for Economic Text Big Data by Yihuo Jiang, Xiaomei Guo, Hongliang Ni, Wenbing Jiang

“…In order to improve the classification accuracy and reduce the classification time of the economic text big data visualization classification algorithm, one based on the Pitton algorithm is proposed. …”
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Algorithm of reconstruction combined midface defects after resection malignant tumors by M. V. Bolotin, A. M. Mudunov, V. Yu. Sobolevsky, V. I. Sokorutov

“…The purpose of reconstruction is not only the elimination of cosmetic deformity, but also the restoration of such vital functions as breathing, swallowing, speech and binocular vision. Till that time, no algorithm has been developed for choosing a method for the reconstruction and there is no comparative analysis of the available methods.The study objective is to improve the functional and aesthetic results of treatment patients with malignant tumors of the upper jaw and midface.Materials and methods. …”
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Object detection algorithm in a navigation system for a rescue drone by Nataliia Stelmakh, Yurii Yukhymenko, Ilya Rudkovskiy, Anton Lavrinenkov

“… This article focuses on improving object recognition algorithms for rescue drones, in particular, enhancing the methodology for classifying human poses by expanding the set of key body points and using more effective mathematical models. …”
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IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN by Dibas Kumar Hembram, Satya Narayan Tripathy, CH Narsimha Reddy, Debabrata Dansana, Quadri Noorulhasan Naveed, Shafat khan, Mohammed Kareemullah, Addisu Frinjo Emma

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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…Additionally, an adaptive threshold method is proposed to improve the traditional Canny edge detection algorithm, significantly enhancing its accuracy in defect edge detection. …”
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Implementation and Evaluation of Machine Learning Algorithms in Ball Bearing Fault Detection by Stepanić Pavle, Dučić Nedeljko, Vidaković Jelena, Baralić Jelena, Popović Marko

“…Improved versions of the mentioned algorithms were obtained by optimizing their hyperparameters. …”
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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…Using data from the popular first-person action game Call of Duty®: Modern Warfare® III, we show that our algorithm consistently outperforms baseline algorithms that rely solely on individual players’ past behavior, achieving improvements in detection rate of up to 24.56 percentage points or 51.5%. …”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

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Computer-economical optimization method for solving inverse problems of determining electrophysical properties of objects in eddy current structroscopy by V. Ya. Halchenko, R. V. Trembovetska, V. V. Tychkov

“…Integration of multiple capabilities in the surrogate model that combine the advantages of high-performance computing and optimization algorithms in the factor space reduced by the Kernel PCA (Principal Component Analysis) method. …”
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Machine learning-enhanced near-infrared spectroscopy for high-throughput phenotyping of sweetpotato sugars across raw and cooked states by Chaochen Tang, Xueying Mo, Zhimin Ma, Zhangying Wang

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