Connection-Based Multiplicative Zagreb Indices of Dendrimer Nanostars by Aqsa Sattar, Muhammad Javaid, Ebenezer Bonyah

“…In this paper, we establish general expressions to calculate the connection-based multiplicative ZIs, namely, first multiplicative ZIs, second multiplicative ZIs, third multiplicative ZIs, and fourth multiplicative ZIs, of two renowned dendrimer nanostars. …”
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Improved CPD based DOA estimation of nested array by Sibei CHENG, Xiao LUO, Bochou JIANG, Yuting WANG, Huanyu WU

“…In order to avoid searching the peak value in space domain, when estimating nested array’s the direction of direction of arrival(DOA), the canonical polyadic decomposition(CPD) was applied into the nested array, namely using the one time singular value decomposition(SVD), bilinear mapping and tensor decomposition to obtain the steering vector matrix and arrival angle.However, the existing CPD algorithm only can be applied in noiseless environment, the algorithm was improved by utilizing SVD two times, and was made to be applied in both noiseless and noisy environments.The simulation results demonstrate that in the same signal to noise ratio(SNR) and snapshot, the DOA estimation algorithm of nested array based on the improved CPD has better performances and less running time than the MUSIC and space smoothing algorithms.…”
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Survey of text classification methods based on deep learning by Sijia DU, Haining YU, Hongli ZHANG

“…Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of natural language processing,the application of neural network technology to text classification has also made many achievements.In the field of text classification based on deep learning,numerical representation of text and deep-learning-based text classification are two main research directions.The important technology of word embedding in text representation and the implementation principle and research status of deep learning method applied in text classification were systematically analyzed and summarized.And the shortcomings and the development trend of text classification methods in view of the current technology development were analyzed.…”
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Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data by H. Vosoughi, S. Abbasbandy

“…A numerical method along with explicit construction to interpolation of fuzzy data through the extension principle results by widely used fuzzy-valued piecewise Hermite polynomial in general case based on the cardinal basis functions, which satisfy a vanishing property on the successive intervals, has been introduced here. …”
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Kinematics Analysis of Sewing Robot based on Double Quaternion by Xin Yan, Liping Ma, Xiaohua Wang, Nan Wu

“…The simulation results show that the method has high computing efficiency， which is about 10% faster than the D-H method， and can provide a theoretical basis for the motion control of the robot textile sewing process.…”
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Research Progress of Silicon based Micro Ring Resonators by HOU Linjun, FENG Song, OUYANG Jie, HU Xiangjian, LI Haojie, GUO Shaokai, LIU Yong, WANG Di, CHEN Menglin, FENG Lulu, ZHOU Ran, WU Jianyang, ZENG Yuling, HE Xinyi

“…With the rapid growth of big data demand, electronic chips and their interconnection technologies cannot meet the requirements of high-speed data transmission and high energy efficiency in computing and storage systems. …”
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Analysis of LAI in Iran based on MODIS satellite data by Fakhri Sadat fateminia, behrouz sobhani, Seyed Abolfazl Masoodian

“…Next, study of 15 years of leaf area index data by cluster analysis based on the calculation of Euclidean distance and Ward method, showed that all 12 months fit in the two main groups and, in fact, divided for two periods of strong and weak vegetation. …”
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Photonics-based modular multistate digital coherent system by I. V. Unchenko, A. A. Emelyanov

“…The study aimed to develop interspecies and interclass methods for constructing coherent radio engineering systems based on a modular complementary structure.Methods. …”
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Tackling impurities in CCS pipelines: An optimization-based approach by Mohamed Mazhar Laljee, Ahmed AlHajaj

“…Case Studies in Chemical and Environmental Engineering…”
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Prediction of Global Ionospheric TEC Based on Deep Learning by Zhou Chen, Wenti Liao, Haimeng Li, Jinsong Wang, Xiaohua Deng, Sheng Hong

“…We find that a Multi‐step auxiliary algorithm based prediction model performs best. It can effectively predict the global ionospheric IGS‐TEC in the next 6 days (the mean absolute deviation (MAD) and root mean square error (RMSE) are 2.485 and 3.511 TECU, respectively) compared to the IRI (the MAD and RMSE are 4.248 and 5.593 TECU). …”
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Research progress of MRI-based radiomics in hepatocellular carcinoma by Xiao-Yun Xie, Rong Chen

“…Radiomics, an emerging field, harnesses high-throughput imaging data, encompassing shape, texture, and intensity features, alongside clinical parameters, to elucidate disease characteristics through advanced computational techniques such as machine learning and statistical modeling. …”
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Optical Nanotweezers Based on All-Dielectric Resonant Structures by Hongyang Xu, Xi Xie, Siwei Chen, Yanan Fu, Yuquan Zhang, Xiaocong Yuan, Changjun Min

“…This paper provides a review of recent research progress in optical nanotweezers based on all-dielectric micro- and nanostructures, highlights the features and applications of these optical tweezers with various dielectric resonance modes, and provides an overview and prospects for the development of this field.…”
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Research on SDN based tactical communication network architecture by Tai LIU, Chao ZHU, Yi CHENG, Yiming WANG

“…Tactical communication networks has high dynamic, weak connection, low bandwidth, multi-link backup, SDN (software defined network) technology decouples from hardware and software through traditional network control devices, software the core control functions, get a global view through centralized control policies, so as to realize the flexible scheduling of resources and the efficient utilization of channel resources, promote the development of tactical communication networks more intelligent and flexible adaptive.The development status and advantages of software defined network were firstly introduced, the problems of traditional architecture of tactical communication networks were analyzed, including the application of SDN in the field of foreign military tactical communication.Then, the feasible idea of the application of SDN in the field of military communication was put forward, as well as the application scenarios were conceived.Finally, the feasibility of the application of SDN in military communication was summarized.…”
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Forecast of China’s Carbon Emissions Based on ARIMA Method by Longqi Ning, Lijun Pei, Feng Li

“…Global warming caused by carbon emissions has become increasingly prominent. As the world’s second-largest economy, China is under enormous pressure to cut down its carbon dioxide emissions. …”
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Robust Estimation-Based Control Strategies for Induction Motors by Florin Stîngă, Marius Marian, Dan Selișteanu

“…Considering that the system is facing the lack of hardware sensors, the proposed complex control strategies are based on the estimation of unavailable system variables and parameters. …”
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Survey of FPGA based recurrent neural network accelerator by Chen GAO, Fan ZHANG

“…Recurrent neural network(RNN) has been used wildly used in machine learning field in recent years,especially in dealing with sequential learning tasks compared with other neural network like CNN.However,RNN and its variants,such as LSTM,GRU and other fully connected networks,have high computational and storage complexity,which makes its inference calculation slow and difficult to be applied in products.On the one hand,traditional computing platforms such as CPU are not suitable for large-scale matrix operation of RNN.On the other hand,the shared memory and global memory of hardware acceleration platform GPU make the power consumption of GPU-based RNN accelerator higher.More and more research has been done on the RNN accelerator of the FPGA in recent years because of its parallel computing and low power consumption performance.An overview of the researches on RNN accelerator based on FPGA in recent years is given.The optimization algorithm of software level and the architecture design of hardware level used in these accelerator are summarized and some future research directions are proposed.…”
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Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning by Luca Bergamaschi, Angeles Martínez, Giorgio Pini

“…Namely, we consider the Deflation-Accelerated Conjugate Gradient (DACG) algorithm accelerated by factorized-sparse-approximate-inverse- (FSAI-) type preconditioners. …”
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Proxy re-signature scheme based on isomorphisms of polynomial by Hui-xian LI, Lu SHAO, Liao-jun PANG

“…Most of the existing proxy resignature schemes were based on the hardness of big integer factoring,discrete logarithm,elliptic curve.However,none of them can resist the attack by a quantum computer.Motivated by these concerns,a new proxy resignature scheme was proposed.By employing secret affine transformations and homogeneous polynomials,the proposed scheme could implement the signature transformation with high-efficiency,and meanwhile it was secure against the attack by a quantum computer.The results of analysis showed that the proposed scheme was correct and consistent,and had the unforgeability in the random oracle model.Compared with the existing schemes,the proposed scheme not only inherits the resistance to quantum attack and high efficiency from the multivariate public key cryptosystems,but also has the properties of multi-use,transparent and private proxy.…”
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OPTIMIZATION OF DOOR SYSTEM PARAMETERS BASED ON ORTHOGONAL DESIGN by WANG ZhenJiang, HE Zao, SUN Run

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STRUCTURE OPTIMIZATION OF MICROBRIDGE BASED ON MEMS ULTRASONIC TRANSDUCER by HE JianLong, AN Kun, YANG LiangXing, WANG YaFeng, LIU Jie, MENG Jiang

“…They can provide an important basis for the following fabrication. When the microbridge is 800 μm（ L） × 100 μm（ W）,the corresponding stress is 0. 352 GPa and the resonant frequency equals to 115. 19 kHz,which is superior to traditional ultrasonic transducers in the aspect of better performance based on the smaller sizes.…”
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