Geografia e Inteligência Territorial: conceitos, métodos e práticas aplicados à pesquisa em Segurança Hídrica by Raimundo Nonato Junior

“…The main results point to the development of five methodological groups of innovative actions developed for public policies (integrated geospatial data management, Smart GeoLayers geotechnology platform, interactive dashboards, dynamic data module and analytical prognosis).…”
Get full text

The assessment of routine health information system performance towards improvement of quality of reproductive, maternal, newborn, child and adolescent health services in Ondo and... by Victoria Oladoyin, Sunday Adedini, Kayode Ijadunola, Hassan Ogunwemimo, Olubunmi Folorunso, Elizabeth Chukwu, Ugo Okoli, Anthony Adoghe, Samuel Oyeniyi, Oniyire Adetiloye, Adesegun Fatusi

“…<h4>Conclusion</h4>Routine RMNCAEH+N QoC data management system in Ondo and Ekiti States vary in terms of the status of reporting forms, data quality, and data use for decision-making, and there were specific performance gaps. …”
Get full text

Reconstituer les évolutions des espaces forestiers de l'Avesnois aux XIVe – XVIIIe siècles. Approches méthodologiques by Francesco Beretta, Claire-Charlotte Butez, Adrien Carpentier, Marie Delcourte

“…In the work frame of this applied research thesis work (Afforestation policy), it has been necessary to use specific tools and to convert ancient data to a readable useful format.The SyMoGIH method (Système Modulaire de Gestion de l'Information Historique / Modular System for Historical Data Management) offers the possibility to work at different scale level (territory, landscape, place) using space and time data for each geographical elements of the Avesnois National Park. …”
Get full text

Research on a lightweight framework of industrial Internet-oriented manufacturing service collaboration level agreement by Jinying CAI, Feng XIANG, Ying ZUO, Lei ZHONG, Ping ZHOU

“…The industrial Internet platform for service-oriented manufacturing has been developing rapidly and put into use.Its advantages of deep perception of industrial data, real-time transmission, rapid calculation and analysis, and high feedback response are gradually highlighted.It also provides platform support for the implementation of manufacturing service reliable collaboration.A lightweight framework for manufacturing service reliable collaboration was proposed based on service level agreement (SLA), including collaboration service communication and interface modules, service level agreement data management module, service collaboration quality of service (QoS) negotiation module, ＆quot;failure-distrust-trustworthiness＆quot; evaluation module, incentive and punishment mechanism module.The SLA-based manufacturing service collaboration process was also given.The reliability of manufacturing service collaboration was guaranteed from three aspects: reliable service release, effective execution of collaboration, and task trustworthy completion.…”
Get full text

Practice and application of distributed data quality management system in power enterprise by Yuanning LI, Sen LIU, Shijun ZHANG, Feng CHEN, Zhiying WANG

“…As the improvement of the enterprise’s informationalization level and the increasing management requirement of enterprise refinement，the demand of data management of enterprise is becoming greater and greater，how to improve the data quality of the enterprise is the key problem needed to be solved. …”
Get full text

Iranian L2 Researchers' Perspectives on Research Ethics by Zhila Gharaveisi, Adel Dastgoshadeh

“…Finally, the emerging themes were extracted from the responses which showed plagiarism, data management, participant rights, and authorship rights as the most frequent themes discussed by the respondents. …”
Get full text

Creation of an automated information system using python and the django framework with a telegram bot by Khojiakbar Egamberdiev, Noila Khidirova, Abram Islomov

“…The system processes user requests through a chatbot interface, providing data management and retrieval functionalities via a REST API. …”
Get full text

Optimizing field work practices in vocational schools by developing a management information system by Mutia Liana, M Lutfi Firdaus, Manap Somantri

“…The developed management information system can simplify data management and make it easier to make decision data on vocational school students' field work practice.…”
Get full text

The Essentials of Clinical Trial Management: Addressing Needs for Successful Outcomes by Gunjan Kumar, Aparna Mukherjee

“…It further emphasises regulatory compliance, ethics and the selection of study sites based on epidemiological and infrastructural factors. The role of data management, especially electronic data capture, and the necessity of robust monitoring, including risk-based approaches, are then highlighted. …”
Get full text

Research on Safety Monitoring Management System of Earth-Rock Dams Based on BIM+GIS and Its Application by ZHANG Xiaoyang, HANG Xuchao, JIA Yuhao, QIAN Feng

“…In addition,a three-dimensional (3D) design solution for earth-rock dams based on Bentley software is put forward to build a fine 3D model with unique codes connected to the whole process of instrument management.Thus,multi-source data are collected and integrated into this system to ensure system applications.The system functions mainly include visual displays,monitoring instrument management,as well as data management and analysis.The application of the system in earth-rock dams in Hubei Province shows good results,which has laid a solid foundation for the digital and intelligent operation and maintenance of engineering.…”
Get full text

Data red envelope clients mining and communication model based on social network analysis by Haiyong XU, Tao TAO, Yan HUANG, Cuiwei TANG, Zhaojing ZHANG, Jing WU

“…Telecom operators innovate continually in data management modes and combine data marketing with social red envelope activities,consequently launching data red envelope activities,which stimulates customers’ interest of data using.Faced with the research pain points of customer characteristics and propagation modes of socialized traffic red envelopes and the current status of the single community modeling algorithm,the detailed research and comparison of the application effects of the six community modeling algorithms were conducted to select the optimal traffic envelope algorithm,and the characteristics of the core value customer groups were located and analyzed.Results show that Multi-Level algorithm performs better in data red-envelope scenario.Based on this algorithm,four characteristic customer groups were mined,namely seed customer,high-value customer,low-value customer and silent customer.The social network clustering conclusion provided effective guidance for operators’ precise marketing,precise push and other marketing activities,as well as other customer operation management such as silent customer activation,lost customer recovery and so on.…”
Get full text

Enhancing 5G Networks with Edge Computing: An Overview Study by Chaouki Halima, Iqdour Radouane, Boulouird Mohamed

“…Combining edge computing with other technologies such as SDN, NFV, NS, Massive MIMO, and NOMA enhances data management and quality of service, supporting highly interactive applications.…”
Get full text

ChatGPT, Python, and Microsoft Excel by Kaique Sbampato, Humberto Arruda, Édison Renato Silva

“…Practical applications demonstrate improvements in information retrieval, data management, and research support. The results show that, despite some integration challenges, these technologies have the potential to greatly elevate the efficiency and effectiveness of librarians in managing healthcare data. …”
Get full text

Evaluating GPT models for clinical note de-identification by Bayan Altalla’, Sameera Abdalla, Ahmad Altamimi, Layla Bitar, Amal Al Omari, Ramiz Kardan, Iyad Sultan

“…This work sets a benchmark for balancing data utility and privacy in healthcare data management.…”
Get full text

Comprehensive Review of Storage Optimization Techniques in Blockchain Systems by Yan Wang, Hao Wang, Yanghuang Cao

“…This paper explores blockchain storage optimization from the perspective of data management, analyzing current techniques such as pruning technique, IPFS optimization, sharding, erasure coding, deduplication, and data compression. …”
Get full text

Urban Regeneration: a Multidisciplinary Approach by Giulia Pettoello, Luigi Stendardo

“…The multidisciplinary structure of the project is organized into six distinct, complementary areas: web GIS; BIM and land information modelling; pilot scenario design; urban planning and feasibility studies; waste recycling; and data management and ICT. (G.P., L.S.). …”
Get full text

Application of artificial neural network in the modeling and optimization of volatile acid from anaerobic digestion of biomass by Noohi Ali

“…A machine learning approach is used for data management and the development of a model capable of correlating process performance based on different inputs (operating parameters). …”
Get full text

Criminal Records Information Management System for Kabale Central Police Station. by Munialo, Rogers

“…The results show a significant improvement in data management and retrieval, with the system meeting the requirements of the police department. …”
Get full text

Predictive Modeling of Chronic Kidney Disease Progression with Ensemble Learning Techniques by priha bhatti

“…Utilizing an extensive dataset, the study employs ten carefully designed stages, covering data analysis, missing data management, normalization, and training of machine learning models. …”
Get full text

Design and Application of Soil and Water Conservation Management Information System in Shenzhen by ZHAO Xusheng, ZHANG Yongzhan, FANG Jingxian, LEI Yong, PAN Cuilin

“…The Shenzhen Soil and Water Conservation Management Information System was developed within the framework of smart cities and smart water management,taking into consideration the characteristics of soil and water conservation business in Shenzhen.The system ensures unified storage and management of water-related data,consisting of five major subsystems,including scheme management,supervision and inspection,historical trend visualization,real-time warnings,and other key modules.By establishing a business supervision platform,it enables comprehensive supervision and management throughout the entire process.Additionally,the integration of intelligent models has greatly enhanced the decision-making and evaluation system for management personnel,thereby significantly improving the efficiency of both management and operational staff.The system integrates multiple functions, including data management,business support,model-based decision-making, data visualization,and real-time alerting.It effectively addresses various challenges encountered in the information construction of soil and water conservation in Shenzhen,such as insufficient information processing capacity,low levels of smart application,lack of unified business sources and data format standards,and difficulties in information sharing and access,ensuring that the information system effectively supports business requirements.…”
Get full text