Citation Analysis of Dissertations Completed at Istanbul University Information and Records Management Department by Fatih Canata, Çağdaş Çapkın, Güleda Doğan, Burcu Sünger, Esra Oynak

“…The aim of this study is to perform a citation analysis of dissertations completed in Department of Information and Records Management of Istanbul University (DIRMIU) between 1967-2015 and to compare the results with those already done on this topic. …”
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Retracted: Processing Methods for Digital Image Data Based on the Geographic Information System by null Complexity

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Sustainable urban development. Organizing information content for the transition to Positive Energy Districts by Tiziana Ferrante, Federica Romagnoli, Teresa Villani

“…Starting from the study of implementation processes, technological solutions and stakeholder involvement methods that have contributed to the success of virtuous sustainable urban development projects implemented in Italy, the research proposes a systemic approach for the organization of relevant information content capable of supporting Municipalities in identifying potentially replicable good practices, incentivizing them to initiate new urban development processes in Positive Energy Districts.   …”
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Relevant Problems of Implementing State Policy in the Field of Ensuring Information Security of Ukraine by Ye. V. Kobko, V. A. Kobko

Subjects: “…information security…”
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Retracted: Design and Discussion on Information Management and Control System of Agricultural Machinery and Equipment by Journal of Control Science and Engineering

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Getting Information on |Ue3|2 from Neutrinoless Double Beta Decay by Alexander Merle, Werner Rodejohann

“…We consider the possibility to gain information on the lepton mixing matrix element |Ue3| from an improved experimental limit on the effective neutrino mass governing neutrinoless double beta decay. …”
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Information and telecommunication system of pre-trial investigation: international experience and ways of implementation by H. I. Hlobenko

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RETRACTED: Comparison of ChatGPT and Bard for using in hybrid intelligent information systems by Kim Radmir, Kotsenko Anton, Andreev Aleksandr, Aladin Dmitry, Varlamov Oleg

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Research on Situation Awareness Model of Information Content Security Incidents in Telecommunication Network by Lin Ge, Xinsheng Ji, Tao Jiang

“…Aiming at the main features of the information content security incidents and telecommunication network themselves，a design of situation awareness model was presented.The model using distributed character data collection and hierarchical progressive integration，the status of security situation of the whole telecommunication network was analyzed.According to the structure of model，hierarchical information fusion proximate calculation based on evidence theory was used to resolve the problem of how to use the initial information to determine the probability in high level information fusion.The simulation results show that the model can compute fast in real time in high accuracy，and it can perceive and determine the incidents effectively.…”
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Multi-source information transmission and classification algorithm for equipment based on compressed sensing by Xiaohu ZHAO, Gang WANG, Boming SONG, Jiacheng YU

“…Aiming at the characteristics of various types of equipment in coal preparation plant and the dispersion of monitoring points,a multi-source information wireless transmission and classification algorithm for equipment based on compressed sensing was proposed.By constructing a multi-hop information transmission model,the information transmission problem was transformed into the compressed sensing problem of multi-path measurement signals,thereby the measurement matrix acquisition was transformed into the routing problem of the multi-hop information transmission model.Aiming at the large coherence of the obtained measurement matrix and affecting the signal reconstruction effect,the idea of random routing was introduced into the routing construction,and a random dynamic self-organizing routing algorithm was proposed.In order to solve the problem that the time domain features of the reconstructed signal were difficult to accurately classify the fault type,a new time domain feature,the total variation (TV) of the vibration signal,was introduced for the reconstructed signal,and the compensation distance estimation algorithm was adopted to verify the superiority of the introduction of indicators.The analysis of the measured data of the coal preparation plant shows that the proposed multi-source information transmission and classification algorithm can effectively improve the fault recognition accuracy under the condition of improving the real-time transmission efficiency of the monitoring data.…”
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TEI Lex-0 Etym: Toward Terse Recommendations for the Encoding of Etymological Information by Jack Bowers, Axel Herold, Toma Tasovac, Laurent Romary

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ACE Insertion/Deletion Polymorphism and Diabetic Nephropathy: Clinical Implications of Genetic Information by Sung-Kyu Ha

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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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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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