Fine-grained entity disambiguation through numeric pattern awareness in transformer models by Jaeeun Jang, Sangmin Kim, Howon Moon, Sang Heon Shin, Mira Yun, Charles Wiseman

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Research on differential Pattern time delay shift coding underwater acoustic communication by Jing-wei YIN, Xiao ZHANG, Xue-li SHENG, Chao SUN

“…A differential Pattern time delay shift coding(DPDS)method with a non-fixed code width based on the traditional Pattern time delay shift coding was proposed.The information is carried by the time delay between adjacent code element,the different linear frequency modulation(LFM)signal is used for adjacent code division.The DPDS system has an ability anti inter-symbol interference(ISI)and the Doppler effects.The computer simulation and lake tests prove that the DPDS system can improve the communication rate,inhibit the ISI caused by the multi-path channel and anti the Doppler effects.It is proved that the system has an effectiveness and robustness.…”
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Research on differential Pattern time delay shift coding underwater acoustic communication by Jing-wei YIN, Xiao ZHANG, Xue-li SHENG, Chao SUN

“…A differential Pattern time delay shift coding(DPDS)method with a non-fixed code width based on the traditional Pattern time delay shift coding was proposed.The information is carried by the time delay between adjacent code element,the different linear frequency modulation(LFM)signal is used for adjacent code division.The DPDS system has an ability anti inter-symbol interference(ISI)and the Doppler effects.The computer simulation and lake tests prove that the DPDS system can improve the communication rate,inhibit the ISI caused by the multi-path channel and anti the Doppler effects.It is proved that the system has an effectiveness and robustness.…”
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Seasonal velocity patterns provide insights for the soft-bed subglacial hydrology continuum by Jane K. Hart, Nathaniel R. Baurley, Amy Bonnie, Benjamin A. Robson, Graeme Bragg, Kirk Martinez

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A Low Complexity 2D Pattern Synthesis Algorithm for Cylindrical Array by Chao Liu, Zhizhong Ding, Xiaoping Liu

“…This paper proposes a 2D pattern synthesis algorithm for cylindrical array. …”
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Classification of Chronic Obstructive Pulmonary Disease (COPD) Through Respiratory Pattern Analysis by Do-Kyeong Lee, Jae-Sung Choi, Seong-Jun Choi, Min-Hyung Choi, Min Hong

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Understanding trends, patterns, and dynamics in global company acquisitions: a network perspective by Ghazal Kalhor, Behnam Bahrak

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Tolerance Analysis of Antenna Array Pattern and Array Synthesis in the Presence of Excitation Errors by Ying Zhang, DanNi Zhao, Qiong Wang, ZhengBin Long, Xiaofeng Shen

“…This paper analyzes array pattern tolerance against excitation errors. The nonprobabilistic interval analysis algorithm is used for tolerance analysis of the nonideal uniform linear array in this work. …”
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Time series analysis of energy usage patterns by Tanzania large power users by Diana Rwegasira, Edward Ngailo, Elimboto Yohana, Noel Masasi

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Spatio-temporal activity patterns induced by triadic interactions in an in silico neural medium by Ana P Millán, Hanlin Sun, Joaquín J Torres

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Counting and mapping of subwavelength nanoparticles from a single shot scattering pattern by Chan Eng Aik, Rendón-Barraza Carolina, Wang Benquan, Pu Tanchao, Ou Jun-Yu, Wei Hongxin, Adamo Giorgio, An Bo, Zheludev Nikolay I.

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Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment by Brian Pamukti, Shofuro Afifah, Shien-Kuei Liaw, Jiun-Yu Sung, Daping Chu

“…While effective, conventional neural networks often involve high complexity and significant computational demands. Additionally, the backscattering method requires the signal to travel twice the normal distance, which can be inefficient. …”
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Psycholinguistic insights into interaction patterns for meaning acquisition in BIPA learning at the university level by Didah Nurhamidah, Zainal Rafli, Fathiaty Murtadho, Muhammad Rizal Mahfuzo

“…Abstract This study investigates psycholinguistic perspectives on interaction patterns that facilitate meaning acquisition in BIPA (Bahasa Indonesia bagi Penutur Asing/Indonesian for Speakers of Other Languages) learning at UIN Syarif Hidayatullah Jakarta. …”
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Simulation of Mass and Heat Transfer of Droplets Collision in a Flash Evaporation Pattern by Facheng Qiu, Xianming Zhang, Xinjie Chai, Yingying Dong, Xingjuan Xie, Zuohua Liu, Renlong Liu, Wensheng Li

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Ex vivo cortical circuits learn to predict and spontaneously replay temporal patterns by Benjamin Liu, Dean V. Buonomano

“…Abstract It has been proposed that prediction and timing are computational primitives of neocortical microcircuits, specifically, that neural mechanisms are in place to allow neocortical circuits to autonomously learn the temporal structure of external stimuli and generate internal predictions. …”
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Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instability by Bingxin Lu, Samuel Winnall, William Cross, Chris P. Barnes

“…Additionally, despite numerous studies on detecting various SV patterns, there are still no general quantitative models of SV generation. …”
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Regional bone density patterns of the tibial plateau: implications for finite element analysis by Pablo Besa, Anselmo Alegría, Nicolás González, Fiorella Biancardi, Catalina Vidal, Pablo Cikutovic, Marcelo E. Andia, Joaquín Mura

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Mapping Connectivity Patterns: Degree-Based Topological Indices of Corona Product Graphs by Nasir Ali, Zaeema Kousar, Maimoona Safdar, Fikadu Tesgara Tolasa, Enoch Suleiman

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High-Speed Compressive Microscopy of Flowing Cells Using Sinusoidal Illumination Patterns by Qiang Guo, Hongwei Chen, Yuxi Wang, Yong Guo, Peng Liu, Xiurui Zhu, Zhen Cheng, Zhenming Yu, Sigang Yang, Minghua Chen, Shizhong Xie

“…Meanwhile, to achieve fast image reconstruction, phase-shifted sinusoidal illumination patterns are used to acquire the Fourier spectrum of images and then a simple inverse fast Fourier transform (IFFT) operation is required for image reconstruction, which is quite computationally efficient. …”
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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation by James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman

“…Convolutional neural networks can harness limited time‐series data to predict near‐future deforestation patterns, an important step in harnessing the growing volume of satellite remote sensing data to curb global deforestation. …”
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