The Influence of Network Structural Preference on Link Prediction by Yongcheng Wang, Yu Wang, Xinye Lin, Wei Wang

“…This article mainly focuses on the influence of network structural preference perturbation through deletion on link prediction. …”
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Effective Stochastic Modeling of Energy-Constrained Wireless Sensor Networks by Ali Shareef, Yifeng Zhu

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Characterizing the Inter-Core Qubit Traffic in Large-Scale Quantum Modular Architectures by Sahar Ben Rached, Isaac Lopez Agudo, Santiago Rodrigo, Medina Bandic, Artur Garcia-Saez, Sebastian Feld, Hans van Someren, Eduard Alarcon, Carmen G. Almudever, Sergi Abadal

“…Based upon interconnecting tens to hundreds of quantum processors (i.e cores) via quantum coherent and classical links, this approach unravels the pressing limitations of densely qubit-packed monolithic processors, mainly by mitigating the requirements of qubit control and enhancing qubit isolation. …”
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Modeling and Evaluating a Cache System in ICN Routers Using a Programmable Switch and Computers by Junji Takemasa, Yuki Koizumi, Toru Hasegawa

“…Finally, the paper is extended from the conference paper so that the proposed algorithms are evaluated both analytically and experimentally, whereas they are mainly evaluated by simulation in that paper.…”
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Efficient topology control for time-varying spacecraft networks with unreliable links by Wei Zhang, Hong Ma, Tao Wu, Xueshu Shi, Yiwen Jiao

“…In spacecraft networks, the time-varying topology, intermittent connectivity, and unreliable links make management of the network challenging. Previous works mainly focus on information propagation or routing. …”
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Young and Inverse Young Inequalities on Euclidean Jordan Algebra by Chien-Hao Huang

“…This paper mainly focuses on in-depth research on inequalities on symmetric cones. …”
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Applications and prospects of artificial intelligence in the auxiliary diagnosis of nail diseases by HE Mengwen, MAI Sien, MA Han

“…In the case of nail psoriasis, existing AI models have mainly focused on automating severity scoring systems. …”
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External barycentric coordinates for arbitrary polygons and an approximate method for calculating them by Ivan S. Polyansky

“…The convergence rate of the obtained approximate analytical calculation of the external barycentric coordinates is estimated when establishing exponential convergence in Hilbert space and polynomial convergence in the space of continuous functions. The algorithmic features of the implementation of an approximate analytical solution with a structured representation of pseudocodes of programs for calculating external barycentric coordinates, formed mainly for the MathCad computer algebra system, are clarified. …”
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Single Pixel Imaging Based on Multiple Prior Deep Unfolding Network by Quan Zou, Qiurong Yan, Qianling Dai, Ao Wang, Bo Yang, Yi Li, Jinwei Yan

“…However, existing deep unfolding networks mainly rely on a single piece of a priori information and may ignore other intrinsic structures of the image. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
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A Study of the Integrated Automated Emotion Music with the Motion Gesture Synthesis via ZigBee Wireless Communication by Chih-Fang Huang, Wei-Po Nien

“…Automated music composition and algorithmic composition are based on the logic operation with music parameters being set according to the desired music style or emotion. …”
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Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis. by Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan

“…The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. …”
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Combination of Annealing Particle Filter and Belief Propagation for 3D Upper Body Tracking by Ilaria Renna, Ryad Chellali, Catherine Achard

“…3D upper body pose estimation is a topic greatly studied by the computer vision society because it is useful in a great number of applications, mainly for human robots interactions including communications with companion robots. …”
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Hidden diversity in anthropophilic sand flies of the Monticola Series (Diptera, Psychodidae) by Bruno Leite Rodrigues, Alessandra Gutierrez de Oliveira, Leonardo Estevam Honorato da Silva, Thiago Vasconcelos dos Santos, Lidiane de Nazaré Carvalho de Oliveira, Felipe Dutra Rêgo, Andrey José de Andrade, Glédson Bandeira Maia, Israel de Souza Pinto, José Dilermando Andrade Filho, Eunice Aparecida Bianchi Galati

“…Species-delimitation algorithms split our dataset into at least three putative species for each taxon. …”
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Ground Attack Strategy of Cooperative UAVs for Multitargets by Qirui Zhang, Ruixuan Wei

“…Humans have a fundamental ability, that is, to share vision among each other to fulfill common goals, which cooperative UAVs do not have. The difficulties mainly lie in the homologous mathematical description of humans and elusive experimental practice. …”
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Using A One-Class SVM To Optimize Transit Detection by Jakob Roche

“…These mainly utilize Convolutional Neural Networks (CNNs) to detect periodic dips in lightcurve data. …”
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The application of artificial intelligence in upper gastrointestinal cancers by Xiaoying Huang, Minghao Qin, Mengjie Fang, Zipei Wang, Chaoen Hu, Tongyu Zhao, Zhuyuan Qin, Haishan Zhu, Ling Wu, Guowei Yu, Francesco De Cobelli, Xuebin Xie, Diego Palumbo, Jie Tian, Di Dong

“…Upper gastrointestinal cancers, mainly comprising esophageal and gastric cancers, are among the most prevalent cancers worldwide. …”
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Modeling forest canopy structure and developing a stand health index using satellite remote sensing by Pulakesh Das, Parinaz Rahimzadeh-Bajgiran, William Livingston, Cameron D. McIntire, Aaron Bergdahl

“…-dominated sites in the state of Maine, USA. The plot-level data were used to develop regression models for LAI and LCR estimation using microwave (Sentinel-1) and optical (Sentinel-2) remote sensing data and applying the Random Forest (RF) and Support Vector Machine (SVM) machine learning algorithms. …”
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Human footprint with machine learning identifies risks of the invasive weed Conyza sumatrensis across land-use types under climate change by Hua Cheng, Kasper Johansen, Baocheng Jin, Shiqin Xu, Xuechun Zhao, Liqin Han, Matthew F. McCabe

“…E.Walker. Different algorithms yielded large variations in the predicted area of C. sumatrensis. …”
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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…Current overhead line planning primarily relies on manual labor, and existing automated algorithms have low adaptability, making it difficult to efficiently accomplish path planning tasks under various environments and objectives. …”
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