Survey of node localization scheme in underwater wireless sensor network by YANG Qiuling, ZHU Rongxin, TANG Zhichao, LI Wenjie, HUANG Xiangdang

“…Representative methods were divided into three categories, namely traditional algorithms, deep learning models, and reinforcement learning strategies, and they were summarized and compared in terms of their fundamental principles, performance characteristics, and applicable scenarios. …”
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Restoring Authenticity: Literary, Linguistic, and Computational Study of the Manuscripts of Tchaikovsky’s <i>Children’s Album</i> by Evgeny Pyshkin, John Blake

“…This research contributes to the studies on the origins and transformations of Tchaikovsky’s <i>Children’s Album,</i> Op. 39 using the linguistic methods of discourse, metaphor, and comparative analysis to explore a number of connected questions and their impact on how the audiences and scholars perceive and understand the compositions. These methods are supported by the technology provided by computational linguistics, such as large language models along with music analysis algorithms based on signature pattern elicitation. …”
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Wetland vegetation mapping improved by phenological leveraging of multitemporal nanosatellite images by Lucas T. Fromm, Laurence C. Smith, Ethan D. Kyzivat

“…Maximum Likelihood (MLC), Support Vector Machine (SVM), and Artificial Neural Network (ANN) classification algorithms are tested on individual, monthly- and multi-seasonal composite images. …”
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Broadband SAR Imaging Based on Narrowband Dense False Target Jamming by Gaogao Liu, Ziyu Huang, Haoran Pan, Qidong Zhang, Jiangbo Zhu

“…To meet the multi-device integration requirements faced by electronic warfare systems in the current environment and to address the problem of conventional jamming-based imaging algorithms being unable to achieve a high range resolution under narrowband conditions, this paper proposes a broadband high-resolution synthetic aperture radar (SAR) imaging method based on narrowband dense false target jamming signals (DFTJSs). …”
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Anti-radar based on metasurface by Zongzheng Sun, Lei Zhang, Xiao Qing Chen, Hong Xu, Guoyao Xiao, Yi Ning Zheng, Yaojun Wu, Zhixing Liu, Haosheng Fu, Xiaoyang Zhou, Zhanye Chen, Hui Chen, Yinghui Quan, Tie Jun Cui

“…Abstract In advanced multi-static radar (MSR), multidimensional information from target echo signals is collected by different receivers to enable precise localization using various algorithms. Owing to its efficient target localization and tracking capability, MSR has found wide applications in sensing, military operations, aviation, and aerospace. …”
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Interpretability in deep learning for finance: A case study for the Heston model by Damiano Brigo, Xiaoshan Huang, Andrea Pallavicini, Haitz Sáez de Ocáriz Borde

“…In this study, we focused on the calibration of a stochastic volatility model, a subject recently tackled by deep-learning algorithms. We analyzed the Heston model in particular, as this model’s properties are well known, resulting in an ideal benchmark case. …”
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Document Verification System Using Image Processing: A Case Study of Kabale Municipality. by Ojara, Walter

“…Document verification is a critical task that ensures the authenticity of business authorities issued by organizations or cooperate bodies and administrative institutions like local government. …”
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MolNexTR: a generalized deep learning model for molecular image recognition by Yufan Chen, Ching Ting Leung, Yong Huang, Jianwei Sun, Hao Chen, Hanyu Gao

“…In addition, it employs a series of novel augmentation algorithms to significantly enhance the robustness and performance of the model.…”
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Mechanical Properties Optimization of Friction Stir Welded Lap Joints in Aluminium Alloy by Antonio Viscusi, Antonello Astarita, Umberto Prisco

“…Surface methods and gradient algorithms were used to optimize the yield strength of the joints. …”
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Stair Scheduling for Data Collection in Wireless Sensor Networks by Jinbiao Chen, Yongcai Wang, Yuexuan Wang, Changjian Hu

“…The results show that the performances of stair scheduling are much better than that of random scheduling algorithms.…”
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Prediction of the Ultimate Impact Response of Concrete Strengthened with Polyurethane Grout as the Repair Material by Sadi I. Haruna, Yasser E. Ibrahim, Sani I. Abba

“…The monolithic composite action of structures relies on the interface bond strength between concrete and the repair material. …”
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Deep Learning Applications in Ionospheric Modeling: Progress, Challenges, and Opportunities by Renzhong Zhang, Haorui Li, Yunxiao Shen, Jiayi Yang, Wang Li, Dongsheng Zhao, Andong Hu

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Automated differentiation of wide QRS complex tachycardia using QRS complex polarity by Adam M. May, Bhavesh B. Katbamna, Preet A. Shaikh, Sarah LoCoco, Elena Deych, Ruiwen Zhou, Lei Liu, Krasimira M. Mikhova, Rugheed Ghadban, Phillip S. Cuculich, Daniel H. Cooper, Thomas M. Maddox, Peter A. Noseworthy, Anthony Kashou

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The State of Artificial Intelligence and its Prospects in Pakistan's Medical Sector by Rohail Akhtar Habib, Yumna Sattar Khan

“…Predictive analytics using machine learning algorithms has become more popular in Pakistani healthcare. …”
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Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of focus limits by Andrey Romanov, Min Gee Cho, Mary Cooper Scott, Philipp Pelz

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Intelligent design and synthesis of energy catalytic materials by Linkai Han, Zhonghua Xiang

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New Strategies Based on Hierarchical Matrices for Matrix Polynomial Evaluation in Exascale Computing Era by Luisa Carracciuolo, Valeria Mele

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The DELIVER Trial: The Beginning of the End of Ejection Fraction Tyranny by Antoni Bayes-Genis

“…It has been reported at the 2022 European Society of Cardiology Congress that the DELIVER trial has met its primary outcome – a relative reduction of 18% in a composite of worsening heart failure (HF) or cardiovascular death. …”
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Research on Key Technologies of Virtual Coupling Control System for Autonomous-rail Rapid Tram by HUANG Qiang, YUAN Xiwen, HU Yunqing, LI Cheng, HUANG Ruipeng, TANG Xiang

“…A safe braking model of autonomous-rail rapid tram is initiatively used to derive the minimum space headway for operation safety between coupled formations, and the collaborative planning and MPC-based collaborative control algorithms utilizing an optimal control approach are applied to guarantee the safe, punctual, comfortable, and efficient operation of coupled formations. …”
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A Complex Network of MicroRNAs Expressed in Brain and Genes Associated with Amyotrophic Lateral Sclerosis by Santosh Shinde, Neelima Arora, Utpal Bhadra

“…The complex interplay of genes and miRNAs brought about by multiplicity and cooperativity was explored. This investigation will aid in elucidating the mechanism of action of miRNAs for the considered genes. …”
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