Distributed Cooperative Path Planning for Multi-UAV in Information-Rich and Dynamic Environments by Pengfei Duan, Dawei Chen

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Compound weather and climate extremes in the Asian region: science-informed recommendations for policy by R. Krishnan, Chirag Dhara, Takeshi Horinouchi, C. Kendra Gotangco Gonzales, C. Kendra Gotangco Gonzales, A. P. Dimri, A. P. Dimri, M. Singh Shrestha, P. Swapna, M. K. Roxy, Seok-Woo Son, Seok-Woo Son, D. C. Ayantika, Faye Abigail T. Cruz, Fangli Qiao

“…We also provide recommendations for the effective utilization of climate information towards improving early warning systems and disaster risk reduction.…”
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Forming Information Literacy of a Foreign Language Teacher in the Conditions of Digital Era by S. A. Deryabina, T. A. Dyakova

Subjects: “…foreign teacher’s information literacy…”
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PRINCIPAL COMPONENT ANALYSIS (PCA) OF THE ACTIVITIES OF INFORMAL CONSTRUCTION WORKERS/ARTISANS IN NIGERIA by Sunday Julius Odediran, Olubola Babalola

Subjects: “…Construction Workers/Artisans, Informal Activities, Informal Construction, Informal Sector, Nigeria…”
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Parallel deep forest algorithm based on Spark and three-way interactive information by Yimin MAO, Zhan ZHOU, Zhigang CHEN

“…To address issues such as excessive redundancy and irrelevant features, long class vectors, slow model convergence, and low efficiency of parallel training in parallel deep forests, a parallel deep forest algorithm based on Spark and three-way interactive information was proposed.Firstly, a feature selection based on feature interaction (FSFI) strategy was proposed to filter the original features and eliminate irrelevant and redundant features.Secondly, a multi-granularity vector elimination (MGVE) strategy was proposed, which fused similar class vectors and shortened the class vector length.Subsequently, the cascade forest feature enhancement (CFFE) strategy was proposed to improve the utilization of information and accelerate the convergence speed of the model.Finally, a multi-level load balancing (MLB) strategy was proposed, combined with the Spark framework, to improve the parallelization efficiency through adaptive sub-forest division and heterogeneous skew data partitioning.Experimental results demonstrate that the proposed algorithm significantly improves the model classification effect and reduces the parallelization training time.…”
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Heterogeneous Information Networks Node Similarity Measurement Based on Feature Sub-Graph by Biao Zhang, Chuan Li, Hongyu Xu, Yanmei Li, Ning Yang, Qian Luo

Subjects: “…heterogeneous information network…”
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Application of integration methods between university information systems and access control systems by ZHANG Yundong

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Application of GPS in the Information System of Soil and Water Conservation Management of Shenzhen City by 肖卫国, 陈冬奕, 吴长文

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Research on Detection Technology for Breakwater Structures Based on Multi-sensor Information Fusion by LIN Xiaobin, YANG Zhimin

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Clustering of the Russian regions by information and communication technologies indicators – infrastructure and Internet access by N. V. Kuznetsov, T. A. Pershina, A. A. Sychev, A. S. Savostitsky

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Information-Theoretic Analysis of Underwater Acoustic OFDM Systems in Highly Dispersive Channels by Francois-Xavier Socheleau, Milica Stojanovic, Christophe Laot, Jean-Michel Passerieux

“…This paper investigates the signal-to-interference ratio and the achievable rates of underwater acoustic (UA) OFDM systems over channels where time and frequency dispersion are high enough that (i) neither the transmitter nor the receiver can have a priori knowledge of the channel state information and (ii) intersymbol/intercarrier interference (ISI/ICI) cannot be neglected in the information-theoretic treatment. …”
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Nutritional information and labels in relation to food advertising: a survey of Macedonian consumers by Suzana Atanasovikj, Ana Marija Kuzmanovska, Tanja Petreska Ivanovska, Zoran Sterjev, Katerina Anchevska Netkovska

Subjects: “…nutritional information…”
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Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects by Ru Liang, Zhaohan Sheng, Feng Xu, Changzhi Wu

“…This problem is first formulated as a 0-1 quadratic programming problem through optimizing individual performance and collaborative performance of the candidate units based on individual information and collaborative information. Then, a multiobjective evolutionary algorithm is designed to solve this problem and a bidding selection problem for a major bridge project is used to demonstrate our proposed method. …”
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Metacognition in wild Japanese macaques: cost and stakes influencing information-seeking behavior by Lorraine Subias, Noriko Katsu, Kazunori Yamada

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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Geo-spatial Information Science…”
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The IIR evaluation model: a framework for evaluation of interactive information retrieval systems by Borlund Pia

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Chatbot-driven supportive care in oral oncology: Addressing patient information needs by Vikas V. Pawar, Dattatray Katore

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Retracted: The Integrated Processing Method of Educational Information Resources Based on Edge Computing by Journal of Electrical and Computer Engineering

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Digital Information Exchange Between the Public and Researchers in Health Studies: Scoping Review by Nazli Soltani, Thilo Dietz, Doris Ochterbeck, Jens Dierkes, Katja Restel, Lara Christianson, Karina Karolina De Santis, Hajo Zeeb

“… BackgroundInformation exchange regarding the scope and content of health studies is becoming increasingly important. …”
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Identifying vital nodes algorithm in social networks fusing higher-order information by Guanghui YAN, Meng ZHANG, Hao LUO, Shikui LI, Ting LIU

“…Identifying vital nodes is a basic problem in complex network research.The existing theoretical framework,mainly considered from the lower-order structure of node-based and edge-based relations often ignores important factors such as interactivity and transitivity between multiple nodes.To identify vital nodes more accurately,the motif,the high-er-order structure of the network,was studied as the basic unit.Firstly,a notion of higher-order degree of nodes in a com-plex network was proposed.Then,the higher-order structure and lower-order structure of nodes were fused into evidence theory.A semi-local identifying vital nodes algorithm fusing higher-order information of nodes was designed.The results of experiments on three real social networks show that the proposed algorithm can identify vital nodes more accurately in the network than the existing methods which only focus on the low-order structure.…”
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