A Comprehensive Dataset of Surface Water Quality Spanning 1940-2023 for Empirical and ML Adopted Research by Md. Rajaul Karim, M. M. Mahbubul Syeed, Ashifur Rahman, Khondkar Ayaz Rabbani, Kaniz Fatema, Razib Hayat Khan, Md Shakhawat Hossain, Mohammad Faisal Uddin

“…This dataset can support meta-analysis of water quality models and can facilitate Machine Learning (ML) based data and model-driven investigation of the spatial and temporal drivers and patterns of surface water quality at a cross-regional to global scale.…”
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An IT System for Assessing Noise Level Distribution in Historical Urban Centers by Mykhaylo MELNYK, Tadeusz Marek KAMISIŃSKI, Roman KINASZ, Roman VYNAROVYCH

“…The developed computer system enables quick forecasting of noise levels for a given street while simultaneously provides data to manage TF as a factor affecting noise generation. …”
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Limits for <i>Coregonus migratorius</i> (Georgi, 1775) catches and likely ecological effects by P. N. Anoshko, M. M. Makarov, V. I. Zorkaltsev, N. N. Denikina, E. V. Dzyuba

“…We show the results of the analysis of the assessment of the state of C. migratorius stocks and the reasons for their decline. …”
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Assessment of Future Possible Meteorological Drought for Isparta Province by Tahsin Baykal, Dilek Taylan, Özlem Terzi

“…For this reason, it is important to forecast the drought and take precautions. In this study, a longshort term memory network (LSTM) method is proposed to predict drought in the long term with high accuracy. …”
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Prediction of potential shear slip surface in locked rock mass of gently inclined counter Tilted rock slope under mining effects by Wenfu Meng, Zhangyin Dai, Qingli Luo, Hongwei Bai, Ting Xia, Yunqin Cao

“…Abstract In recent years, landslides triggered by underground mining have attracted much attention because of their high hazards and difficulties in prediction and forecasting. How to quickly and accurately determine the potential shear slip surface in locked rock mass ofgently inclined counter tilted rock slope under mining action is crucial for the prevention and control of this type of landslide hazard. …”
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A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset by Yahya Asmar Zakur, Seyed Bagher Mirashrafi, Laith Rezouki Flaih

“…These records and data are also used in other processes like customer relationship management and accounting operations.It is incredibly challenging to use and extract valuable and meaningful information from these data and records because they are frequently enormous and continuously growing in size and complexity.Data mining is the act of sorting through large data sets to find patterns and relationships that might aid in the data analysis process of resolving business issues. Using data mining techniques, enterprises can forecast future trends and make better business decisions.The Apriori algorithm has been introduced to calculate the association rules between objects; the primary goal of this algorithm is to establish an association rule between various things. …”
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Research on AQI prediction of Chengdu-Chongqing economic circle based on CNN-BiLSTM-Selfattention model by Shuai Kun, Chang Haodong

“…The findings indicate that: (1) Utilizing the K-Shape clustering technique, Chengdu and Neijiang emerge as the cities with high AQI representation in the Chengdu- Chongqing economic region, whereas Yibin and Luzhou are identified as cities with low representation. (2) A comparison of the RMSE, MSE, MAPE, MAE, and R2 values across the four models reveals that the CNN- BiLSTM-Selfattention model demonstrates superior prediction accuracy and enhanced stability. (3) The forecast analysis suggests that while certain days experience significant air quality pollution in the Chengdu- Chongqing economic circle, the overall air quality exhibits a trend towards improvement, with pollution indices across most areas remaining below level 3.…”
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THE PROSPECTS OF INNOVATIVE DEVELOPMENT OF DOMESTIC OIL AND GAS COMPLEX by A. N. Dmitrievskii, N. I. Komkov, M. V. Krotova

“…The approaching exhaustion of Russian stocks in the «easy» oil and toughening global competition for energy resources and technology made such an inertial approach to innovation is inadmissible; sanctions and the fall in world prices for hydrocarbons requires the development strategy of innovative development of oil and gas based approach combining resource and innovative potential of Russia.Objective: To analyze opportunities for integration into a coherent innovation strategy of fundamental and applied research of Russian scientists, including IPNG Russian Academy of Sciences, Institute of Economic Forecasting, and other scientifi c organizations.Objectives: To propose a mechanism of management of development based management model basic technical and economic parameters of oil and (or) gas through its full life cycle, as well as to demonstrate the possibility of forming a strategic decision of a higher level, combining new technologies and market management methods.Methodology: systematic approach, investment analysis, models of the full life cycle of natural and man-made objects, the fundamentals of feasibility and tax planning.Practical application of the results of this work: management model of oil and gas deposits «4D» can be expanded and adapted to the practical problems enterprises and oil and gas companies on the basis of the construction and use of the model of «4D + e». …”
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Quality Control Technique for Ground-Based Lightning Detection Data Based on Multi-Source Data over China by Yongfang Xu, Yan Shen, Xiaowei Jiang, Fengyun Tian, Lei Cao, Nan Wang

“…Through experimental analysis of convective processes over different time periods, QC thresholds are established based on the CREF, TBB, and area ratio. …”
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Risk management of emergency situations caused by flooding of built‐up mountain areas by E. V. Arefyeva, I. Yu. Oltyan, Yu. I. Prus

“…The approach proposed by the authors is based on the application of a set of methods, including methods of: system analysis, forecasting, numerical modeling, followed by the development of an optimal management solution of emergency situations at the municipal level.As a result of the numerical modeling carried out in the work, the variants of drainage systems and their operating mode are determined within the framework of the implementation of the proposed approach in the simulation mode. …”
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Synergistic review of automation impact of big data, AI, and ML in current data transformative era [version 2; peer review: 2 approved, 1 approved with reservations] by Siddharth Swarup Rautaray, Manjusha Pandey, Swastik Rath

“…The review research work explores how industries utilize vast data volumes from diverse sources to derive actionable insights, forecast trends, and optimize processes. Key applications included in the review are from the domains of disease prediction and electronic health record management in healthcare , fraud detection and credit risk assessment in banking and finance, consumer behavior analysis and inventory optimization in retail, market trend forecasting in real estate, and disaster risk management in agriculture. …”
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Power generation expansion planning with high penetration of geothermal energy – Potential, prospects and policy by Muhammad Amir Raza, Mahmoud Ahmad Al-Khasawneh, Yahya Z. Alharthi, Muhammad Faheem, Raza Haider, Laveet Kumar

“…Pakistan is blessed with 100 GW of geothermal capacity and it is exploited using the Low Emissions Analysis platform (LEAP) software for the study period 2024 to 2060 by taking the base year 2023. …”
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Drought research priorities, trends, and geographic patterns by R. Baatz, G. Ghazaryan, G. Ghazaryan, M. Hagenlocher, C. Nendel, C. Nendel, A. Toreti, E. E. Rezaei

“…Geospatial patterns highlight a universal focus on forecasting methods, with a strong secondary emphasis on policy and societal issues in Africa and Oceania. …”
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Advanced intelligent techniques for modeling oxygen storage in zeolite-based porous materials by Arefeh Naghizadeh, Ahmadreza Jafari-Sirizi, Behnam Amiri-Ramsheh, Saeid Atashrouz, Dragutin Nedeljkovic, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

“…These results underscore the effectiveness of ML techniques in precisely forecasting and enhancing gas storage processes in zeolites, offering meaningful insights to drive advancements in separation technologies.…”
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Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models by Miralieva Dilafruz, Ramatov Jumaniyoz, Azimova Lola, Khusamiddinova Malika, Alimbaeva Shahlo, Omonova Laylo

“…Computational linguistics is deeply embedded in algorithmic financial models and reshapes cost forecasting frameworks through data-driven semantic interpretation. …”
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Revealing the Circulation Patterns Most Conducive to Regional Heatwave in Southeast Asia and the Mechanisms Behind by Yang Lyu, Jingyu Wang, Xiefei Zhi, Shoupeng Zhu, Hugh Zhang, Joshua Lee, Yi Fan, Yan Ji, Edward Park, Xianfeng Wang

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A Deep Learning Method for Inversing 3D Temperature Fields Using Sea Surface Data in Offshore China and the Northwest Pacific Ocean by Xiangyu Wu, Mengqi Zhang, Qingchang Wang, Xidong Wang, Jian Chen, Yinghao Qin

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Predicting Seasonal Deformation Using InSAR and Machine Learning in the Permafrost Regions of the Yangtze River Source Region by Jie Chen, Xingchen Lin, Tonghua Wu, Junming Hao, Xiaodong Wu, Defu Zou, Xiaofan Zhu, Guojie Hu, Yongping Qiao, Dong Wang, Sizhong Yang, Lina Zhang

“…The developed ML algorithm, with access to precise environmental data, is capable of forecasting seasonal deformations across the entire QTP and potentially throughout the Arctic.…”
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Predicting Land Use Land Cover Dynamics and Land Surface Temperature Changes Using CA-Markov-Chain Models in Islamabad, Pakistan (1992&#x2013;2042) by Muhammad Farhan, Taixia Wu, Sahrish Anwar, Jingyu Yang, Syed Ali Asad Naqvi, Walid Soufan, Aqil Tariq

“…Cellular automata (CA) models are employed for simulating geographical distributions, while Markov-Chain models are utilized for simulating temporal changes. This study aims to forecast the dynamics of land use and land cover (LULC) change and land surface temperature (LST) using a CA and Markov-Chain model for the period 1992&#x2013;2022 in Islamabad, Pakistan. …”
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Enhancing public health surveillance: SARIMAX model incorporating Baidu search index for HCV prediction in China by Huan Ning, Yingji Lan, Qianqian Huang, Tingyan Luo, Jing Yang, Jie Zhou, Zhuoxin Li, Ping Cui, Hao Liang, Jiegang Huang

“…Identify keywords highly correlated with HCV using Spearman rank correlation and time series cross-correlation analysis to construct a comprehensive search index. …”
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