Artificial intelligence in environmental monitoring: in-depth analysis by Emran Alotaibi, Nadia Nassif

“…Abstract This study provides a comprehensive bibliometric and in-depth analysis of artificial intelligence (AI) and machine learning (ML) applications in environmental monitoring, based on 4762 publications from 1991 to 2024. …”
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The Development of the Economic Analysis Methodology in the Digital Economy by Nataliya S. Plaskova

“…In this regard, the most important methodological task is to develop scientific attributes, the conceptual apparatus, and the system of specific methods and techniques of innovative economic analysis. Innovative activity characterized by a strategic vector of development is now gaining the dominant value, both for individual innovative enterprises and for the economy, as a whole, therefore, scientifically sound tool base for strategic forecasting of innovation performance is particularly important to achieve the necessary economic effect on micro-, meso- and macro-levels of management. …”
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Statistical Analysis of the Economic Development of the Brics Countries by M. G. Balyhin, M. M. Shajlieva, A. P. Tsypin

“…The main results are: on the basis of a critical analysis of the theoretical literature and empirical studies, a methodology for conducting the study was developed, which includes the use of statistical tools; during the period 1990-2018, the position of the BRICS countries in geo-economic space strengthened, as evidenced by the growth of the total share of the Union's members in world GDP; China and India have made a significant leap in economic capacity-building as a result of policies to attract foreign investment and technology; GDP growth in the 2000s continued in China and India, while in Russia, Brazil and South Africa a slowdown was observed, which, according to the forecast, would lead to a further decline in the growth rate of these countries; the main factor that has a positive impact on the growth of the five economies is services, which is fully consistent with the global trend.Conclusion. …”
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Trends and advances in Leptospira, a bibliometric analysis by Wei Wang, Wei Wang, Wei Wang, Yamin Gao, Yamin Gao, Yamin Gao, Jianyu Ji, Jianyu Ji, Jianyu Ji, Zhai Huang, Zhai Huang, Bin Xiong, Bin Xiong, Shulin Xiang, Shulin Xiang

“…This study applies bibliometric analysis to generate a visual knowledge map, identifying research hotspots and forecasting future trends in leptospirosis investigations.MethodsData were extracted from the Web of Science Core Collection (WOSCC), encompassing all publications up to May 1, 2024. …”
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Statistical analysis of the financial state of the banking sector by O. G. Tretyakova, T. I. Chinaeva

“…Quantitative measurement of the influence of this factor is the basis  for further analysis of the financial sector of the economy,  construction of forecast calculations.…”
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Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market by Kurban Kotan, Bayram Kotan, Serdar Kirisoglu

“…The aim is to develop an effective “smart, automatic crises detection and forecasting model selection application”. The CHIT algorithm introduced in the study is a new missing data filling algorithm used in time series forecasting comparisons. …”
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Analysis of approaches to identification of trend in the structure of the time series by U. S. Mokhnatkina, D. V. Parfenov, D. A. Petrusevich

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Predicting Stock Market by Sentiment Analysis and Deep Learning by Süreyya, Özögür Akyüz, Pınar, Karadayı Ataş, Aymane Benkhaldoun

“…Many companies have previously modified time-series analysis, a data mining technique, to forecast stock price movement. …”
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A participação dos ergonomistas nos projetos organizacionais by Marçal Jackson

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Analysis of the Timber Industry Complex of Forest-Rich Countries by Olga P. Sushko, Marina V. Efimova

“…The article presents the results of a comparative analysis of the production of forest products in the world at the present stage. …”
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Analysis of Dust Storm Intensity over Baghdad City by Asmaa K. Hammoodi, Ahmed S. Hassan, Jasim H. Kadhum, Xiu-Qun Yang

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FINANCIAL PERFORMANCE ANALYSIS OF THE COMPANY THROUGH PROFITABILITY RATIOS by Mihaela SUDACEVSCHI, Viorica Mirela ŞTEFAN-DUICU

“…Financial analysis involves applying methods and techniques of analysis to financial reports and other related data to obtain useful information. …”
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Global DevOps Market Dynamics and Workforce Analysis by Oksana Vasylenko, Kateryna Shulakova, Liliia Bodnar, Eduard Siemens, Roman Tsarov, Oleksandr Vudvud

“…This study delivers a comprehensive analysis of the global DevOps market, dissecting its growth trajectory, regional adoption variations, and salary dynamics as observed in 2024. …”
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Assessing cross-national inequalities and predictive trends in gout burden: a global perspective (1990–2021) by Mingyang Li, Qilong Nie, Qilin Xia, Zeping Jiang, Zeping Jiang

“…Prediction analysis projected a stable global burden of gout from 2021 to 2045, with notable gender-specific and age-specific trends. …”
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MONITORING OF CHILDREN’S CANCER INCIDENCE IN THE REPUBLIC OF DAGESTAN by M. G. Daudova, G. M. Abdurakhmanov, A. G. Gasangadzhieva, T. N. Ashurbekova

“…Aim. Monitoring and forecasting of malignant tumors of the child population of the Republic of Dagestan.Methods. …”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…The results show that the performance of accrual-based earnings management forecasting methods based on the relief-based feature selection model is better than the feature selection model based on principal component analysis. …”
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Approaches to Interstate Interaction of Circumpolar Countries in the Development of the Arctic by N. I. Didenko, D. F. Skripnuk, N. A. Konakhina

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THEORETICAL ASPECTS OF THE PROBLEM OF REFLEXIVE AND PROGNOSTIC COMPETENCE OF A PERSON by Anastasiia V. Rudenko

“…The theoretical analysis of sources on the problem of forecasting revealed that the prognostic competence of an individual consists of the ability to predict performance, in relationships with others, as well as in relation to their own health. …”
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Financial Market Evaluation Utilizing an Optimized Deep-Learning Model: A Case Study of the Nikkei 225 by Karthikeyan M P

“…A long-short-term memory network is one of the most common forms of artificial neural networks applied in time series analysis. Having gone through training with hundreds of input and output time steps, it provides proper forecasting of stock market values. …”
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A Global Deep Learning Perspective on Australia-Wide Monthly Precipitation Prediction by Luyi Shen, Guoqi Qian, Antoinette Tordesillas

“…Our assessment from April 2021 to March 2022 highlights the model’s proficiency in identifying significant rainfall, especially in flood-impacted locations. Through the analysis across various climatic zones, the spatiotemporal TCN-MF model contributes to the field of continent-wide precipitation forecasting, providing valuable insights that may enhance climate change adaptability strategies in Australia.…”
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