Novel Multimodal Fusion Algorithm for Non-Intrusive Anxiety Detection by Mahir Shadid, Mushfiqus Salehin Afnan, Rashed Mustafa, M. Jamshed Alam Patwary

“…The study utilizes six advanced machine learning algorithms (Gaussian Naive Bayes, XGB Classifier, K-Neighbors, SVM, Decision-Tree, and RandomForest) for data classification, pattern recognition, and predictive accuracy. …”
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Trajectory Estimation Filtering Algorithm for Underwater Equipment Based on UKF by CHEN Ziyue, JI Fuwu, ZHOU Wei

“…Firstly, the implementation process of the classic unscented Kalman filter is explained, and the idea of Sage-Husa adaptive adjustment of noise is introduced; then, on this basis, the prediction residual vector is introduced to reduce the influence of gross error on the filtering result, and a tracking factor is introduced to improve the adaptability of the filter to sudden motion; finally, the effectiveness of the algorithm is verified by simulation experiments and towing experiments. …”
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IRMAOC: an interpretable role mining algorithm based on overlapping clustering by Yaqi Yang, Jun’e Li, Tao Zhang, Lu Chen, Guirong Huang, Zhuo Lv

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Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects by ZHANG Zijiao, DING Shunjing, ZHAO Di, LIANG Jun, LEI Jianbo

“…In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. …”
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Initialization improvement and clustering quality evaluation of K-means algorithm by HE Xuansen, HE Fan, YU Hailan

“…In order to solve the problem of random initialization of K-means algorithm, an improved scheme was proposed. By standardizing the features of data and using principal component analysis (PCA), data dimensionality reduction was achieved. …”
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Amorphous Localization Algorithm Based on BP Artificial Neural Network by Lin-zhe Zhao, Xian-bin Wen, Dan Li

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Solving the Independent Domination Problem by the Quantum Approximate Optimization Algorithm by Haoqian Pan, Changhong Lu

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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). This paper's primary participation is to take advantage of the hybrid encoding technique to maintain the quality of the reconstructed image and the reduction of time complexity. …”
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Statistical modeling based fast rate estimation algorithm for VVC by Wei QI, Haibing YIN, Hongkui WANG, Xiaofeng HUANG, Weihong NIU

“…To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.…”
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Improved Algorithm for Analysis of DNA Sequences Using Multiresolution Transformation by T. M. Inbamalar, R. Sivakumar

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Optimization of reconfigurable SM2 algorithm over prime filed by Bin LI, Qinglei ZHOU, Xiaojie CHEN, Feng FENG

“…Aiming at the problems of inefficient of software, low utilization of hardware resources and poor scalability of SM2 algorithm, a reconfigurable optimization method of SM2 algorithm over prime filed was proposed.Through in-depth analysis of the SM2 algorithm, starting from different computation stages and characteristics, respectively using KOA fast multiplication, fast modular reduction and Barrett algorithm to achieve recommended or arbitrary parameters of the modular multiplication operation, and the radix-4 extended Euclidean algorithm was optimized and improved to accelerate the modular inverse operation.Then, in the standard projective coordinate system, the Montgomery method was used to improve the efficiency of point multiplication, and the data flow of point addition and double point was optimized to shorten the operation cycle to 12 clocks.At the same time, fast coordinate system conversion was realized inside the FPGA.Finally, the parallel scheduling management of multi-SM2 was designed and implemented to meet the computational requirements of multiple applications.The experimental results show that the optimized SM2 makes full use of FPGA resources and shortens the cycle of point multiplication.The maximum number of calculations per second is 352.48 times higher than the CPU (Intel i5-8300), which improves the performance and scalability.…”
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Self-Supervised Social Recommendation Algorithm Fusing Residual Networks by WANG Yujie, YANG Zhe

“…Firstly, the algorithm employs a variational hypergraph auto-encoder for link prediction in social networks to obtain a reconstructed social graph, which is used to mine the positive link relationships hidden among users. …”
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A Novel Coverage Enhancement Algorithm for Image Sensor Networks by Haiping Huang, Lijuan Sun, Ruchuan Wang, Jing Li

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Smoothing Algorithm of Point Cloud Based on Normal Vector Correction by XUE Ping, YAO Juan, ZOU Xue-zhou, WANG Hong-min

“…Based on the research of bilateral filtering and trilateration filtering algorithm，this paper presents an algorithm of denoising and smoothing of point cloud data based on normal vector correction. …”
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Algorithm of stepwise medical rehabilitation of patients with differentiated thyroid cancer by T. I. Grushina, S. O. Podvyaznikov, G. A. Tkachenko, A. M. Mudunov, S. B. Shakhsuvaryan, Yu. V. Alymov, A. V. Ignatov

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Ways of institutionalizing non-formal education and mechanisms for validating and evaluating learning outcomes obtained outside formal education by Larysa Lukianova, Krzysztof Symela

“…The research is based on the following algorithm: generalizing findings of a terminological analysis of non-formal education; determining its links with formal and informal components of the education system; specifying factors in strengthening its role in modern society; visualizing findings with Eurostat’s statistical information on participation rate in education and training (last 4 weeks) by type, sex, age and educational attainment level obtained between 2010 and 2019. …”
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Research on 3D stability algorithm of spatial concave slope by Li Yin, Dong Wang, Xiaoyu Xing, Xiangyu Meng, Yiming Wu

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Parallel clustering algorithm for large-scale biological data sets. by Minchao Wang, Wu Zhang, Wang Ding, Dongbo Dai, Huiran Zhang, Hao Xie, Luonan Chen, Yike Guo, Jiang Xie

“…The affinity propagation algorithm outperforms many other classical clustering algorithms and is widely applied into the biological researches. …”
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Online Format of Extracurricular Education: a New Reality of Project-Based Education for Senior High School Students by N. G. Davydova, A. N. Kosarikov, D. M. Kirillov, A. V. Igumnov

“…The paper presents data and analyzes the practice of transferring a major All-Russian event in the system of extracurricular education – the Russian National Junior Water Competition – to a distance format due to the coronavirus pandemic. …”
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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram by Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Dong Geum Shin, Yeongyeon Na, Jwa-Kyung Kim, Hyung-Seok Lee, Young Rim Song, Yeha Lee, Sung Gyun Kim

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