Relevant bibliographies by topics / Financial status and performance results integrated analysis

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Academic literature on the topic 'Financial status and performance results integrated analysis'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Financial status and performance results integrated analysis"

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Mackevičius, Jonas, and Romualdas Valkauskas. "Methodology of the Integrated Analysis of Company's Financial Status and Its Performance Results." Business: Theory and Practice 11, no. (3) (2010): 213–21. https://doi.org/10.3846/btp.2010.24.

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Information about company's financial status and its performance results is very important for the objective evaluation of company's position in the market and competitive possibilities in the future. Such information is provided in the financial statement. It is important to apply and investigate this information properly. The methodology of company's financial status and performance results integrated analysis is recommended in this article. This methodology consists of these three elements: 1) research of absolute financial indicators variation; 2) calculation and estimation of relative fin
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Frederick, Duane T., and Karina Kasztelnik. "An Analytical Study of Impact of International Merger and Acquisitions on the Financial Performance for Higher Education Institution in the United States." Financial Markets, Institutions and Risks 4, no. 4 (2020): 5–30. http://dx.doi.org/10.21272/fmir.4(4).5-30.2020.

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The paper summarizes the arguments and counterarguments within the scientific discussion on the issues such as higher education institutions, mergers and acquisitions, world class universities, integrated postsecondary educational data system in the United States. The main purpose of this scientific research study problem is the impact of international merger and acquisition on the financial performance for higher education institution in the United States. Synthesis of this topic has a significant impact on the financial well-being for all students and professors around the World. The methodo
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Liu, Jun. "Analysis on the Integrated Accounting System of Enterprise Accounting and Statistics in the Big Data Era." MATEC Web of Conferences 359 (2022): 01032. http://dx.doi.org/10.1051/matecconf/202235901032.

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In recent years, our country's comprehensive national strength has been continuously enhanced, the market economy system has been continuously improved, and the development of each industry has also undergone certain changes. The increasingly vigorous development of society and the increasingly fierce market competition are both opportunities and challenges for enterprises. If an enterprise wants to get better development, it is necessary to strengthen the management of its financial work. The current establishment of an integrated system of accounting and statistics is a good idea to improve
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Lanskykh, Yevhen, Dmytro Pomohaibo, and Viktor Alkema. "A method for determining the health status of projects to optimize financial and human resources in IT companies." Management of Development of Complex Systems, no. 62 (June 27, 2025): 88–96. https://doi.org/10.32347/2412-9933.2025.62.88-96.

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This article is dedicated to the development of a comprehensive method for determining the health status of projects and portfolios in IT outsourcing companies to optimize the use of financial and human resources. The proposed approach integrates data from key project management systems (Jira, Tempo, GitLab, SonarQube, ERP) using automated algorithms for data collection, normalization, and metric analysis. The method provides numerical indicators characterizing schedule efficiency (SPI), budget adherence (CPI), code quality, risk level, and participant satisfaction, thereby enabling the constr
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Bardash, Sergey, and Tatiana Osadcha. "CURRENT STATUS OF STATE FINANCIAL CONTROL OF UKRAINE AND WAYS OF ITS IMPROVEMENT." Baltic Journal of Economic Studies 6, no. 2 (2020): 17–24. http://dx.doi.org/10.30525/2256-0742/2020-6-2-17-24.

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The urgency of the research is conditioned by the crisis of state financial control in Ukraine, in particular by the artificial lowering of the role of the state financial control for public administration in terms of determining the problems and prospects of the socio-economic development of the country. The study is evaluating the results of control measures conducted by the State Audit Service of Ukraine and the Accounting Chamber of Ukraine, development of recommendations for their improvement and phrasing. The methodological framework of the research is a comparative analysis of the serie
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Boye Dolo*, Alvin. "An Investigation into the Application of the Integrated Public Financial Management Reform Projects in Liberia at the Ministry of Finance and Development Planning." Noble International Journal of Economics and Financial Research, no. 62 (April 6, 2021): 56–70. http://dx.doi.org/10.51550/nijefr.63.56.70.

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The study sought to investigate of the application of the integrated public financial management reform projects in Liberia at the ministry of finance and development planning 2014 – 2016. Generally, the objective of implementing Integrated Financial Management Information System (IFMIS) is to increase the effectiveness and efficiency of state financial management and facilitate the adoption of modern public expenditure practices in keeping with international standards and benchmarks. The study adopted a descriptive research in this study with a targeted population of 98. The primary data was
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Jungo, Aidan, Mengmeng Zhang, Jan B. Vos, and Arthur Rizzi. "Benchmarking New CEASIOM with CPACS adoption for aerodynamic analysis and flight simulation." Aircraft Engineering and Aerospace Technology 90, no. 4 (2018): 613–26. http://dx.doi.org/10.1108/aeat-11-2016-0204.

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Purpose The purpose of this paper is to present the status of the on-going development of the new computerized environment for aircraft synthesis and integrated optimization methods (CEASIOM) and to compare results of different aerodynamic tools. The concurrent design of aircraft is an extremely interdisciplinary activity incorporating simultaneous consideration of complex, tightly coupled systems, functions and requirements. The design task is to achieve an optimal integration of all components into an efficient, robust and reliable aircraft with high performance that can be manufactured with
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A. Brahmananda Reddy. "Knowledgebase Ontology Driven Model for Student Development Through Swot Analysis." Journal of Information Systems Engineering and Management 10, no. 41s (2025): 1059–73. https://doi.org/10.52783/jisem.v10i41s.8168.

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Traditional educational systems often rely on rigid, siloed databases that do not capture the multifaceted nature of student development. This limits the ability of institutions to provide personalized support and informed guidance. To address this challenge, this paper proposes a knowledge-based, ontology-driven framework for the holistic development of students. The model integrates diverse dimensions—including academic performance, personal background, extracurricular involvement, cultural context, behavioral patterns, and SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis—into a
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Siti Nur Illah, Nana Suarna, Irfan Ali, and Dodi Solihudin. "K-Means Clustering Method to Make Credit Payment Groupinhg Efficient." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 2 (2025): 1074–83. https://doi.org/10.59934/jaiea.v4i2.815.

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Credit payment management is one of the main challenges in the financial sector, especially in grouping customers based on risk and payment patterns. This study aims to evaluate the K-Means Clustering method in improving the efficiency of credit payment data clustering. The dataset used includes information on payment history, loan amount, tenor, and credit status from financial institutions. The research approach involves data processing stages, application of the K-Means algorithm, and evaluation of results using the Davies-Bouldin Index and Silhouette Score metrics. The results of the analy
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Liu, Guanyu. "Leveraging Machine Learning for Telecom Banking Card Fraud Detection: A Comparative Analysis of Logistic Regression, Random Forest, and XGBoost Models." Computers and Artificial Intelligence 1, no. 1 (2024): 13–27. http://dx.doi.org/10.70267/1cc7aw07.

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In recent years, telecommunication bank card fraud has become a major threat to financial security, so it is necessary to develop robust detection mechanisms for telecommunication bank card fraud. This study examines the application of machine learning techniques (specifically logistic regression, random forests, and XGBoost) in identifying fraudulent telecom bank transactions. Using a dataset consisting of one million transaction records from the 2024 National Student Data Statistics and Analytics Competition, we implemented and evaluated these models based on key performance metrics such as
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Book chapters on the topic "Financial status and performance results integrated analysis"

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Schmidt, Carsten, and Stefan Dedovic. "Sustainability and Governance of the mGov4EU Project." In From Electronic to Mobile Government. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64471-9_10.

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AbstractSustainability and governance of the mGov4EU project are critical for its long-term success, particularly in transforming public services and streamlining administrative processes. The mGov4EU project, aiming to design user-centric solutions and enhance cross-border digital public services, places sustainability and governance at the forefront. This involves meticulous outcomes analysis, focusing on pilots and architecture, considering legal frameworks, stakeholder involvement, financial models, and developmental status. The exploration of cross-border mobile government factors reveals
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Dyriavko, Oleh. "MODELS AND SOFTWARE TOOLS FOR FORECASTING AND MANAGING FINANCIAL RISKS." In Science, technology and innovation in the context of global transformation. Publishing House “Baltija Publishing”, 2024. https://doi.org/10.30525/978-9934-26-499-3-8.

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The section presents modern models and software tools for analysis, forecasting and management of financial risks. Mathematical approaches such as regression analysis, time series models (ARIMA, GARCH), scenario analysis, stress testing and portfolio optimization using the Markowitz model are considered. Special attention is paid to machine learning methods, including Random Forest, Gradient Boosting and neural networks, which provide high accuracy of forecasts and detection of hidden dependencies in data. The use of modular and microservice architectures is proposed for the development of sys
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Yildirim, Lavinia Essen. "Analysis of Performance From a Managerial Accounting Perspective." In Perspectives of Management Accounting for Sustainable Business Practices. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4595-2.ch005.

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The results of scientific study and literature review indicate that new strategic transformations of entities are being examined for the adoption of a performance management system. This system has the responsibility of converting the strategic plan of long-term and medium-sized objectives into associated activities between the managerial plan and financial-accounting. An integrated system of performance indicators is implemented to properly estimate a company's worth in this chapter, which analyses the new research paths at the junction of accounting and management. The findings reveal that i
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Yablonsky, Sergey. "Integrated and Transactional Platforms." In Social Entrepreneurship. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8182-6.ch073.

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In recent years, crowdsourcing has increased in popularity as a method for gathering ideas for new innovations and providing solutions to existing problems. In this chapter, crowdsourcing intermediaries and business models are analyzed. How intermediaries' providers are managing interactions between different groups of platform actors (contributors) in order to receive new ideas, feedback, and solutions for improving consumers products and services is studied. Crowdfunding platforms are discussed based on crowdsourcing open innovation vision. Hence, research focuses on crowdfunding innovations
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"Integrated and Transactional Platforms." In Multi-Sided Platforms (MSPs) and Sharing Strategies in the Digital Economy. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5457-8.ch007.

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In recent years, crowdsourcing has increased in popularity as a method for gathering ideas for new innovations and providing solutions to existing problems. In this chapter, crowdsourcing intermediaries and business models are analyzed. How intermediaries' providers are managing interactions between different groups of platform actors (contributors) in order to receive new ideas, feedback, and solutions for improving consumers products and services is studied. Crowdfunding platforms are discussed based on crowdsourcing open innovation vision. Hence, research focuses on crowdfunding innovations
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Górski, Marek, and Marzena Marcinek. "Application of Selected Software Tools for Data Collection and Analysis in Library Management and Their Effectiveness Assessment." In Integrated and Strategic Advancements in Decision Making Support Systems. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1746-9.ch008.

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In this paper, the authors present the results of research on the use of software tools for data collection and analysis in strategic and current library management. Special attention has been paid to StatuS and Performance Analysis for Polish Research Libraries (AFBN) — the tools most frequently used by Polish academic librarians. StatuS is used by the academic libraries of Krakow Library Group and several other libraries in Poland. Performance Analysis of Polish Research Libraries (AFBN) is a national project. Its main objective is to create standards for Polish libraries based on a set of p
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Meng, Guo, and Wei Fan. "Financial Analysis System Design for Institutional Users Based on Deep Learning." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231297.

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To strengthen the ability to obtain effective financial data in complex network environment, a distributed information data acquisition and analysis strategy based on deep learning is proposed. Based on service-oriented architecture, the overall requirements and data analysis of the platform are provided an integrated infrastructure platform under cloud platform is established. The analysis module of the core of system uses LSTM networks to model financial data to process complex financial market data inputs. Then, the detailed implementation processes of data acquisition, pre-partition and st
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Svichkar, Nataliia. "INTRODUCTION OF INTEGRATED REPORTING FOR THE DEVELOPMENT OF ENVIRONMENTAL ACCOUNTING IN THE MANAGEMENT SYSTEM OF ENTITIES AT DIFFERENT LEVELS OF MANAGEMENT." In Financial, accounting and analytical information and audit in the system of state and corporate management. Publishing House “Baltija Publishing”, 2023. http://dx.doi.org/10.30525/978-9934-26-268-5-8.

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The section is devoted to the study of a new method of presenting information about the state of the company – integrated reporting. Particular attention is paid to one of the components of integrated reporting – environmental reporting. A comparative characteristic of traditional financial and integrated reporting by different criteria is made. The content and elements of the integrated report in accordance with the International Standard are disclosed. It is proposed to consider the new reporting model as a possible way to obtain a more complete picture of the company’s activities, which wil
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Li, Xiaokang, and Victor Chang. "The Influential Factors of CSR and the Future of CSR in China." In Research Anthology on Developing Socially Responsible Businesses. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5590-6.ch032.

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This article conducts statistical analysis on the level of social responsibility of Chinese enterprises and the internal, and the external factors which influence it. The factors include the scale of enterprises, innovation capacity, export intensity, financial performance, product competitive, government intervention, and legal environment, etc. The results show that those factors, such as export behavior, innovation capacity and financial status have strong influence on the level of companies' social responsibility. Based on those results, there are some suggestions to improve the CSR in Chi
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Lahmiri, Salim. "Practical Machine Learning in Financial Market Trend Prediction." In Advances in Business Information Systems and Analytics. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5958-2.ch010.

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Using the wavelet analysis for low-frequency time series extraction, the authors in this chapter conduct out-of-sample predictions of the S&P500 price index future trend (up and down) following two trading strategies. In particular, the goal is to separately predict an increase or decrease of stock market by 0.5%. Indeed, predicting market increases by 0.5% is suitable to active portfolio managers, whilst predicting its decreases by 0.5% is suitable to risk-averse portfolio managers to limit losses. The Support Vector Machine (SVM) with polynomial kernel is used as the baseline forecasting
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Conference papers on the topic "Financial status and performance results integrated analysis"

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Kashid, Bipin, and Mitch Eichler. "Lies, Damned Lies, and Simulation Results: How to Change the Conversation and Build a Thriving Simulation Ecosystem." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/30953-ms.

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Abstract Engineering simulation has become the pivotal tool for research and development in industries including offshore oil & gas, aerospace, automotive, mobile/off-highway, health care, and others. This case study will explore the financial and time-based savings achieved through detailed simulations and a system-based design approach in two hydraulic valve development projects. The applications in this scope include subsea blowout preventer and off-highway mobile equipment controls. Tools like 1D system simulation, computational fluid dynamics, and finite element analysis are widely ac
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Mendez, Maria, James Mullins, Luka Bajan, et al. "Using Dynamic Simulations to Improve Geological Models: A Full Field Integrated Study of an HPHT Gas Field in the Norwegian Sea." In SPE Norway Subsurface Conference. SPE, 2024. http://dx.doi.org/10.2118/218465-ms.

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Abstract Assisted history matching is a pivotal process in optimizing reservoirs models through the calibration to observed well and pressure field data. Robust reservoir forecasting is essential for effective asset management and development planning; however, it is significantly impacted by uncertainties inherent in the subsurface. Large uncertainties exist in the underlying geological and simulation inputs which pose a key challenge to achieve an accurate and meaningful match between observed and simulated data; especially when considering complex, marginal or high environment impact projec
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Criste, Cristina, Ciel Bovary (Man), and Oana-Ramona Lobonț. "Portraying the Level of Digital Performance and Innovation of the European Public Sector: Contextualising the Relationship Between E-government and Digital Innovation." In 29th International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management. University of Novi Sad, Faculty of Economics in Subotica, 2024. http://dx.doi.org/10.46541/978-86-7233-428-9_396.

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Due to the differences among European Union member states in governance quality, public governance effectiveness, financial resource management, and efforts to improve economic performance and well-being, digital innovation is essential for promoting digital governance. Achieving qualitative e-governance requires increased innovation, along with the effective adoption and implementation of digital technology. The main objective of this study is to analyse the connections between public governance and digital innovation in the European Union (EU). Two research methods were considered to carry o
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Tusan, Radoslav. "THE IMPACT OF THE ADOPTION OF INTERNATIONAL FINANCIAL REPORTING STANDARDS ON THE FINANCIAL SITUATION AND PERFORMANCE OF THE COMPANY." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.s.p.2020.37.

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This paper deals with the evaluation of the impact of the adoption of International Financial Reporting Standards (IFRS) on the financial situation and performance of the company. The Slovak Accounting Act allows accounting and reporting under IFRS for two types of entities - explicitly specified by law (e.g. banks, insurance companies, stock exchange); and those that meet specified size criteria. The analyzed company met the size criteria and IFRS has been applying since 2018. The transition from Slovak accounting procedures to IFRS has an impact on the classification of individual items of a
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Marfu’ah, Siti, Irfana Tri Wijayanti, and Ana Rofika. "Multilevel Analysis of Factors Associated with Performance of Midwives in Integrated Antenatal Care Service in Pati, Central Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.30.

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ABSTRACT Background: In 2017, nearly 295,000 women died during and after pregnancy and childbirth. In low-resource situations, the vast majority of maternal death (94%) occurred, and most could have been avoided. This study aimed to analyze the factors associated with the performance of midwives in integrated antenatal care service in Pati, Central Java. Subjects and Method: This was a cross-sectional study carried out at 26 integrated health posts (posbindu) in Pati, Central Java. A sample of 130 midwives randomly was selected for this study. The dependent variable was work performance of mid
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Goarna, Darius-Andrei, Diana-Mariana Todor, and Ionela Cornelia Cioca. "The financial performance reflection of a stock listed company using the profit and loss account. Case study: Antibiotice S.A." In International student scientific conference, ISSC 2025 "Challenges of accounting for young researchers", 9th Edition. Academy of Economic Studies, 2025. https://doi.org/10.53486/issc2025.17.

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The financial performance of a company, regardless of its size or the field in which it operates, is an essential indicator of economic health and sustainability. This is reflected in a complex set of information describing the entity's activity and the efficiency of its resource use, being a key tool in both internal and external analysis. In this context, the analysis of financial performance is particularly relevant for theorists and practitioners alike, having a crucial role in strategic and operational decision-making. The purpose of this study is to explore the specific financial reporti
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Gavin, Abishek L., P. K. Venkatesh Prasanna, C. Veena Vedha, and A. Sinduja. "Data Analysis and Price Prediction of Stock Market Using Machine Learning Regression Algorithms." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-46y2r2.

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Stock analysis and forecasting is a very challenging study due to the unpredictable and volatile database environment. However, their patterns are often unique as they are influenced by many uncertainties, such as financial results of companies (Earnings per share), risk transactions, market sentiment, government policies, and conditions such as epidemics. Even though they are challenging our goal is to predict the accurate values within a shorter span of a dataset. In this paper we have compared and analyzed the best ML model that predicts the exact closing amount of the next few days, using
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Roumeliotis, I., N. Aretakis, and A. Alexiou. "Industrial Gas Turbine Health and Performance Assessment With Field Data." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57722.

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The paper presents a thorough analysis of historical data and results acquired over a period of two years through an online real-time monitoring system installed at a Combined Heat and Power (CHP) plant. For gas turbine health and performance assessment, a Gas Path Analysis tool based on the adaptive modeling method is integrated into the system. An engine adapted model built through a semi-automated method is part of a procedure which includes a steam/water cycle simulation module and an economic module used for power plant performance and economic assessment. The adaptive modeling diagnostic
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Martinez Santiago, Maryvi, Shamma Al Shehhi, Sukilesh Anbalagan, et al. "Achieving Reservoir Performance Excellence By Implementing Automated Sector Performance: Onshore Field Case Study." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-21990-ea.

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Abstract ADNOC has development and implemented a robust automated sector performance review (SPR) process using state-of-the-art analytics and business process management tool (Khan et al., 2019). In this paper, we will present the achieved results and the defined opportunities by implementing SPR across some targeted reservoirs during the previous last 2 years. With the necessity of having analysis at sector level, the main objective of this work is to conduct an integrated reservoir dynamic synthesis, identify all challenges and opportunities to come up with robust and practical action plan
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Weixu, Wang, Ma Shiying, Shu Dongchu, et al. "FDIs Observations and Analysis with Integrated Geo-Engineering Approach: Case Studies from Multiple Platforms in Sichuan Deep Shale Gas." In SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/223523-ms.

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Abstract FDIs became a major concern for unconventional resources development in the recent years for both north America and the world. In the scenario of parent – child well operations, the fracturing and completion in the child well often incur unexpected pressure response in the parent well, which commonly results in operation and production uncertainty in both wells. In this paper, we captured the FDIs cases from multiple Sichuan deep shale gas platforms, and we used an integrated geo-engineering method to analyze the FDIs behavior and main controlling mechanisms. Sichuan deep shale gas wa
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Reports on the topic "Financial status and performance results integrated analysis"

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Chea, Phal, Muytieng Tek, and Sorsesekha Nok. Gender Gap Reversal in Learning and Gender-Responsive Teaching in Cambodia. Cambodia Development Resource Institute, 2023. https://doi.org/10.64202/wp.141.202307.

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In the past two decades, Cambodia has been committed to the global agenda of ensuring that all children from all walks of life have access to education and quality learning opportunities. The focus was not only on access to education but also on gender parity and learning quality. Three years after the adoption of the Dakar Framework for Action in 2003, Cambodia adopted the national plan for Education for All (EFA) as a guiding pathway to realise the government’s commitments toward the education goals reiterated in the Dakar Framework. Cambodia has made subsequent development in education, not
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Kao, Sovansophal, Phal Chea, and Sopheak Song. Upper Secondary School Tracking and Major Choices in Higher Education: To Switch or Not to Switch. Cambodia Development Resource Institute, 2022. https://doi.org/10.64202/wp.133.202203.

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Strengthening the quality of education, science and technology education is one of the four strategic rectangles of Rectangular Strategy Phase IV and at the heart of Cambodia’s ambition to achieve higher-middle-income status by 2030 and high-income status by 2050. To that end, increasing attention has been paid to improving both the quantity and quality of science education from secondary school through higher education. Empirically, it has been demonstrated that upper secondary school science can play a significant role in inspiring students to pursue STEM majors in higher education. Yet, the
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