Compressive sensing and DNA coding operation: Revolutionary approach to colour medical image compression‐encryption algorithm by Xianglian Xue, Haiyan Jin, Changjun Zhou

“…However, when transmitting these high‐capacity images, doctors and researchers must not only address the challenges of storage and transmission efficiency but also guard against unauthorized access and data security risks. …”
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Examining the Impact of Distance-Based Similarity Metrics on the Performance of Projected Clustering Algorithm for Fingerprint Database Clustering by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak, Karel Maly

“…Despite its robustness, its performance heavily depends on the chosen similarity metric, with Euclidean and Manhattan distances being the most common. While many researchers focus on modifying the algorithm to enhance performance, the impact of similarity metrics on clustering performance is often overlooked, despite its critical role in determining accuracy. …”
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Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm by Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb

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Research on Near-Infrared Non-Invasive Blood Glucose Detection Technology by Wang Jinshuo

“…In response to the complex and easily interfered characteristics of near-infrared spectral signals, an innovative BP neural network algorithm is introduced to construct a prediction model. …”
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RESEARCH ON THE OPTIMAL DESIGN METHOD OF U-SHAPED SECTION CONTAINMENT RING

“…U-shaped containment ring is usually used as protection device for turbine starters.Under the condition that the turbine rotor is contained,structural optimization of the U-shaped section containment ring was carried out to obtain a light and inclusive structure,which improved aircraft safety and thrust-to-weight ratio.An optimal design method for U-shaped cross section containment ring was proposed.The method adopted the optimal Latin hypercube design,numerical simulation,response surface modeling,and multi-island genetic algorithm to achieve the optimal design of multiple parameters of containment rings cross section.By combining simulation and experiment,the influence weights of different structural parameters on the residual kinetic energy of debris and the volume of containment rings were analyzed.The influence of different structural parameters of Ushaped containment ring on the containment results was studied.Containment test was carried out to verify the optimized containment ring.The results show that the thickness of the containment ring has the greatest influence on the residual kinetic energy of the debris,and the weight ratio is 38%.The main structural parameters affect the inclusion effect are thickness and groove depth.The error of inclusion ring deformation is less than 2%in the comparison between simulation and test results,which indicates that the optimization design method proposed is reasonable and reliable.The research results can provide prior knowledge and optimization methods for the quality reduction of U-shaped containment ring structures.…”
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Research on Measurement and Statistical Characteristics of Air-to-Ground Bidirectional Links Channels by Yang Yuxin, Lei Taiya, Hua Boyu, Chen Xiaomin, Liu Yuchao, Li Hanpeng, Zhu Qiuming

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Research on multi-condition optimization of centrifugal compressor impeller meridian profile. by Ning Yu, Xiaohan Yu, Zhi Cai, Xinle Yang, Liyong Tian, Song Li

“…The NSGA-III optimization algorithm is employed for multi-condition optimization, aiming to achieve comprehensive efficiency improvements under multiple operating speeds. …”
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Lightweight and scalable security for wireless IoT systems: challenges and research directions by Daniel Migwi, Ryszard S. Romaniuk

“…It concludes by identifying future research areas that integrates security within broader system goals.…”
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Research on Electric Spot Trading of Electric Vehicles Based on Block Chain by ZHANG Zhening, ZHANG Xinyu, GONG Gangjun

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Research on Rock Fracture Surface Morphology Characterization under Brazilian Test by Zhigang Feng, Xuezai Pan, Guoxing Dai, Hongguang Liu

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Research on simulation of permanent magnet synchronous motor in full speed range. by Mingrun Yuan, Yuke Meng, Xiaozhong Qi, Xiao Li, Ning Zhang

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Research on landing distance of a civil aircraft based on Bayesian network by WANG Ke, SHAO Jingwen, YANG Jun

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Research on Multi-sensor Fusion Localization for Autonomous-rail Rapid Tram by PAN Wenbo, LI Yuanzhengyu, LONG Teng, CHEN Zhiwei, HUANG Wenyu, QIN Xiaohui

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Research on load labeling method for big data in novel power system by ZHANG Ximing, XU Huan, YANG Qiuyong

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Research on Highway Lane Change Control Strategy Considering Driving Styles by Yi Ren, Lei Zhang, Xiyao Liu

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Flexible hardware for teaching and research in renewable energy and off-grid microgrids by Cristian Escudero-Quintero, Juan Pablo Guzman-Rodriguez, Juan Pablo Villegas-Ceballos, Elkin Edilberto Henao-Bravo, Daniel Gonzalez-Montoya

“…Microgrids are an active research field due to their integration of renewable and non-renewable energy sources alongside energy storage systems to supply both DC and AC loads. …”
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Research on emotion monitoring of public based on social network big data by Aili LI, Zishuai ZHANG, Yin LIN, Qiuju WANG, Jianan YANG, Weicheng MENG, Yanfeng ZHANG

“…In recent years, social networking platforms such as Sina Weibo and Twitter have gradually become one of the main carriers for reflecting social public opinion, providing a convenient platform for netizens to express their opinions and emotions.Public opinion monitoring based on social network big data has become a new research hotspot.People’s emotions monitoring using social network big data in various countries is helpful to directly grasp people’s emotional tendencies in international relations, and has a great impact on the diplomacy, foreign trade, and other aspects.Based on this, a public sentiment monitoring system for Chinese and Japanese data was proposed, which could analyze the emotional tendencies contained in Chinese and Japanese data on social platforms such as Sina Weibo and Twitter simultaneously, and displayed them to users in a visual form.In the aspect of sentiment analysis algorithm, based on the BERT model and combined with the self-expanding Chinese and Japanese sentiment lexicon, a new sentiment analysis model, EmoBERT, was proposed.The experimental results show that, compared with the original BERT model, the EmoBERT has achieved good results on both Chinese sentiment classification tasks and Japanese sentiment classification tasks.Among them, EmoBERT-C increases the accuracy of Chinese BERT from 89.68% to 92.15%, and EmoBERT-J increases the accuracy of Japanese BERT model from 74.73% to 78.26%.…”
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Research of patients with alcohol dependence and their correction, taking into account gender aspects by Z. Sh. Ashurov, D. P. Kim

“…Implementation of the clinical research results.This аalgorithm for the psychotherapeutic correction of emotional-personal disorders in patients with alcoholismcan increase the effectiveness of the treatment of patients with alcohol dependence by using psychopharmacotherapy. …”
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Research on Monitoring Method of Remote Deformation and System Application Based on Image by Yu Zhang, Ruofei Zhong, Yongrong Li, Haili Sun

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Field Test and Numerical Research of Blast-Induced Liquefaction in Calcareous Sand by Changchun Li, Yumin Chen, Yingkang Yao, Yonggang Gou, Qiongting Wang, Junwei Guo, Xiao Xie

“…The effectiveness of the Arbitrary Lagrangian Eulerian (ALE) algorithm is verified based on the field test results, and the pore water pressure response in saturated calcareous sand foundations under different TNT equivalents is further analyzed. …”
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