Study on adaptive modulation in D2D communications over Nakagami-m fading channel by Xiaoping ZENG, Haiwei MAO, Fan YANG, Xin JIAN, Shiqi LI, Xin JIANG, Wei FANG

“…A novel adaptive modulation based on nondata-aided error vector magnitude (NDA-EVM) was proposed to solve the problem of lower spectral efficiency in device to device (D2D) communication over Nakagami-m fading channel.The NDA-EVM was used to evaluate the channel quality.The relationship between NDA-EVM and symbol error ratio (SER) was derived according to the maximum likelihood method.Thereafter,the adaptive modulation mechanism of MQAM with the SER constraint was designed.Considering the joint effect of finite-length queuing and fading channel,the system packet loss rate and spectral efficiency was analyzed.Theoretical analysis and simulation experiments show that NDA-EVM based adaptive modulation accurately gives the modulation threshold and evaluates the relationship between QoS and packet loss rate,the proposed algorithm improves system spectral efficiency while maintaining low algorithm complexity,spectral efficiency improves by 0.752 bit·(s·Hz)^-1,compared with traditional algorithm.…”
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CT-based radiomics deep learning signatures for non-invasive prediction of metastatic potential in pheochromocytoma and paraganglioma: a multicohort study by Yongjie Zhou, Yuan Zhan, Jinhong Zhao, Linhua Zhong, Fei Zou, Xuechao Zhu, Qiao Zeng, Jiayu Nan, Lianggeng Gong, Yongming Tan, Lan Liu

“…Radiomic features were extracted from CT venous phase images and modeled using six machine learning algorithms. The maximum 2D sections and 3D images of each tumor were input into four ResNet models to obtain predictive probabilities. …”
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Course and Outcomes of Acute Coronary Syndrome in the Presence of New Coronavirus Infection COVID-19 by L. S. Kokov, S. S. Petrikov, M. M. Pisankina, E. A. Dashevsky, K. A. Popugayev, M. V. Parkhomenko, I. M. Kuzmina, I. S. Babayan, K. I. Vorontsova, L. T. Khamidova, E. V. Klychnikova, S. P. Goncharov, A. A. Spassky, A. I. Kramarenko

“…A poor prognostic value of low left ventricular ejection fraction in patients with COVID-19 disease has been described.Conclusions The development of acute coronary syndrome in the course of COVID-19 significantly worsens the prognosis of the disease, which requires the development of algorithms for providing medical care to patients in this category, as well as maximum vigilance in their treatment.…”
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Advanced classification of optical water types and ensemble learning models for Chl-a inversion in Dongting and Poyang lakes using Sentinel-2 remote sensing: assessing the impact o... by Kai Xiong, Bin Deng, Jiang Liu, Zhixin Guan, Weizhi Lu, Changbo Jiang, Wei Luo, Han Rao, Longbin Yin, Kang Yang

“…The results demonstrated the superior stability and predictive accuracy of the Voting strategy under low Chl-a conditions in Dongting Lake, achieving a maximum MAPE reduction of 84.76 %. …”
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Short Term Photovoltaic Power Combination Prediction Method Based on Similar Day Selection and Data Reconstruction by Qingbin CHEN, Genghuang YANG, Liqing GENG, Juan SU, Jingsheng SUN

“…Firstly, clustering analysis of photovoltaic power is performed using the kernel fuzzy C-means algorithm, and the main influencing features are extracted through the maximum information coefficient. …”
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Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification by Jun Bi, Ru Zhi, Dong-Fan Xie, Xiao-Mei Zhao, Jun Zhang

“…The usage characteristics of lost users, including maximum rental time and travel distance, minimum percentage of same pickup and return station, and low percentage of locals, have noticeable differences from those of the other users. …”
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Genetic Diversity of Apis spp. in Thailand Inferred from 28S rRNA Nuclear and Cytochrome b Mitochondrial Gene Sequences by Thitipan Meemongkolkiat, Atsalek Rattanawannee, Chanpen Chanchao

“…Homologous sequences (nucleotide identity of over 95%) were obtained from GeneBank using the BLASTn algorithm, aligned, and analysed by maximum likelihood and Bayesian inference phylogenetics. …”
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Hybrid DWT NLM method with NOA optimization for ECG signal denoising by Wen Chen, Yuanfang Zhang, Kaimin Yu, Chufeng Huang, Peibin Zhu, Qihui Wu, Jianzhong Hao

“…This study presents a Nutcracker Optimization Algorithm (NOA) - enhanced DWT+NLM framework. Using NOA, the framework dynamically optimizes wavelet decomposition levels and basis functions for precise high/low - frequency separation. …”
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Network capacity with probit-based stochastic user equilibrium problem. by Lili Lu, Jian Wang, Pengjun Zheng, Wei Wang

“…It is constantly formulated as the low-level problem to describe the drivers' route choice behavior in bi-level problems such as network design, toll optimization et al. …”
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A clustering approach for error beacon filtering in underwater wireless sensor networks by Linfeng Liu, Jingli Du, Dongyue Guo

“…Besides, error beacon filtering algorithm also has a provable low complexity.…”
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Symptomatic Epileptic Seizures in Patients with Brain Gliomas by D. I. Abzalova, A. V. Prirodov, M. V. Sinkin

“…The analysis of domestic and foreign literature showed that low-grade gliomas, this symptom occurs on average in 76%, with high-grade gliomas – in 21% of patients. …”
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Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements by Cheng Chen, Guan-Nian Chen, Song Feng, Xiao-Zhen Fan, Liang-Tong Zhan, Yun-Min Chen

“…Across the entire test dataset, with a sensor spacing of 5.0 m, the model achieved maximum RMSE values ranging from 0.94 to 2.79 mm and maximum MAE values ranging from 0.77 to 2.18 mm, thereby showcasing its robustness and reliability in predicting lateral displacement. …”
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Modular Hybrid Energy Concept Employing a Novel Control Structure Based on a Simple Analog System by PETREUS, D., DARABAN, S., CIRSTEA, M.

“…The energy conversion system (control structure and maximum power point tracking algorithm) is simulated using a new macromodel-based concept, which reduces the usual computational burden of the simulator and achieves high processing speed. …”
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Construction and Application of Media Corpus Based on Big Data by Bochun Yin, Lei Fu

“…Media corpus data are collected, the data are divided into four categories, the heuristic data item column sorting algorithm is introduced to sort all collection processes, the minimum value of data item collection rate is determined, on this basis, the maximum value of quantity in media corpus is determined, and data collection is realized in media corpus data through sliding window. …”
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Improved self-training-based distant label denoising method for cybersecurity entity extractions. by Ke Zhang, Yunpeng Wang, Ou Li, Sirui Hao, Junjiang He, Xiaolong Lan, Jinneng Yang, Yang Ye

“…Firstly, we create two domain dictionaries of cybersecurity. Then, an algorithm that combines reverse maximum matching and part-of-speech tagging restrictions is proposed, for generating distant labels for the cybersecurity domain corpus. …”
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FPGA-Based Deep Neural Network Implementation for Handwritten Digit Recognition by Matej Štajnbrikner, Igor Valek, Tomislav Matić, Mario Vranješ

“…The proposed network achieves promising results in terms of system simplicity and low consumption of hardware resources while maintaining acceptable recognition accuracy and algorithm execution speed at the same time. …”
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Energy-Efficient Resource Allocation for Near-Field MIMO Communication Networks by Tong Lin, Jianyue Zhu, Junfan Zhu, Yaqin Xie, Yao Xu, Xiao Chen

“…Particularly, this paper considers the resolution constraint in the formulated optimization problem, which is designed to guarantee that interference between users can be neglected. A low-complexity optimization algorithm is proposed to realize the joint optimization of power and antenna number. …”
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Research on Dynamic Path Planning of Wheeled Robot Based on Deep Reinforcement Learning on the Slope Ground by Peng Wang, Xiaoqiang Li, Chunxiao Song, Shipeng Zhai

“…The results show that compared with DDQN algorithm, TDDQN has the advantages of fast convergence and low loss function.…”
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Tool wear monitoring method based on AMIDBOAB and imbalanced data optimization by Guan-Hua Xu, Hong-Yu Wu, Bo Tang, Jun-Long Xu

“…The multi-scale and multi-domain value feature extraction method, the maximum relevance minimum redundancy feature selection method, and the adaptive gravitation mixing sampling algorithm are integrated to optimize the dataset. …”
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Numerical Study of Air Distribution System for a Passenger Aircraft Based on 1D and 3D Coupling by Yi Tu, Xuanren Chen, Liang Wang, Liang Yin, Qiuyun Zheng, Yu Zeng

“…For the 3D CFD method, the complex and large number of meshes leads to low computational efficiency. The 1D simulation has high efficiency, but the local accuracy is inadequate. …”
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