An Artificial Intelligence Frequency Regulation Strategy for Renewable Energy Grids Based on Hybrid Energy Storage by Qiang Zhang, Qi Jia, Tingqi Zhang, Hui Zeng, Chao Wang, Wansong Liu, Hanlin Li, Yihui Song

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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

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Construction and application of a digital twin model for multi-objectiveoptimization of intelligent tape conveyor system by Wei CHEN, Jingzhao LI, Qing SHI, Jichao LIU, Huashun LI

“…Results show that the DT-based intelligent conveyor system reduces coal spillage to less than 100 g/min, decreases blade wear rate by 8.99%, cuts actual power consumption by 8.61%, with Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) in sweep force prediction being 3.2748% and 0.017 respectively. …”
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AI-Driven Smart Agriculture: An Integrated Approach for Soil Analysis, Irrigation, and Crop-Fertilizer Recommendations by Ayesha Khaliq, Atif Khan, Salman Jan, Muhammad Umair, Asad Gulshair, Ahmad Ali, Usman Ali Shah

Subjects: “…Explainable artificial intelligence (XAI)…”
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Research on short-term power load forecasting based on deep reinforcement learning with multiple intelligences by Tianyun Luo, Dunlin Zhu, Jinming Liu, Sheng Yang, Jinglong He, Yuan Fu

“…In this paper, we analyze the multi-intelligence application architecture in power load forecasting, and analyze the function of each intelligent unit applied to short-term power load forecasting; based on clarifying the interaction relationship of each intelligent unit in short-term power load forecasting, we model short-term power load forecasting as a distributed and partially observable Markov decision-making process, which is suitable for multi-intelligence deep reinforcement learning; based on the MATD3 algorithm, a centralized training-distributed execution framework is used to train multiple intelligences within the model to achieve short-term power load forecasting. …”
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Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques by C. Zhang, X. Niu, H. Wu, Z. Ding, K. L. Chan, J. Kim, T. Wagner, C. Liu, C. Liu, C. Liu

“…Our findings demonstrate the significant potential of geostationary satellite observations in artificial-intelligence-based air quality forecasting, with implications for early warning of air pollution events and human health exposure.…”
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Analysis of Irrigation, Crop Growth and Physiological Information in Substrate Cultivation Using an Intelligent Weighing System by Jiu Xu, Lili Zhangzhong, Peng Lu, Yihan Wang, Qian Zhao, Youli Li, Lichun Wang

“…The monitored values from the intelligent weighing system’s pressure-type module were used to calculate irrigation start–stop times, frequency, volume, drainage volume, drainage rate, evapotranspiration, evapotranspiration rate, and stomatal conductance. …”
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Evaluating the accuracy of generative artificial intelligence models in dental age estimation based on the Demirjian's method by Allan Abuabara, Thais Vilalba Paniagua Machado do Nascimento, Seandra Maria Trentini, Angela Mairane Costa Gonçalves, Maria Angélica Hueb de Menezes-Oliveira, Isabela Ribeiro Madalena, Svenja Beisel-Memmert, Christian Kirschneck, Livia Azeredo Alves Antunes, Cristiano Miranda de Araujo, Flares Baratto-Filho, Flares Baratto-Filho, Erika Calvano Küchler

“…Model performance was evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Coefficient of Determination (R2), and Bias.ResultsThirty panoramic radiographs (40% female, 60% male; mean age 10.4 ± 2.32 years) were included. …”
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Proposed Model on Amrit Varsha Dhyan by Pandit Shriram Sharma Acharya in Enhancing Emotional Intelligence by Lalima Batham, Swarnkala Singh

“…Ancient practices like meditation, rooted in Indian traditions, have been recognized for their potential to enhance emotional intelligence by fostering emotional and psychological balance. …”
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What rights matter? Examining the place of social rights in the EU’s artificial intelligence policy debate by Jędrzej Niklas, Lina Dencik

“…References to ‘European values’ are often rooted in some perception of a commitment to particular rights that uphold certain principles about democracy and the relationship between state, market and citizens. …”
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Artificial Intelligence in Academic Translation: A Comparative Study of Large Language Models and Google Translate by Мохаммед Мохсен

“…The advent of Large Language Model (LLM), a generative artificial intelligence (AI) model, in November 2022 has had a profound impact on various domains, including the field of translation studies. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

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Understanding the impact of artificial intelligence on the stock market development in BRICS nations: a panel ARDL method by V RESHMA, Pradeesh K., Mohandas V K, K. MANIKANDAN

“…According to the results of the first- and second-generation panel unit root tests, there are no unit root issues, and the factors have a mixed order of integration. …”
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Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm. by Qinghe Guo, Mengchao Wang, Renjun Liu, Yurong Chen, Shenghuai Wang, Hongxia Wang

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Loss reduction optimization strategies for medium and low-voltage distribution networks based on Intelligent optimization algorithms by Nian Liu, Yuehan Zhao

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Optimized intelligent learning for groundwater quality prediction in diverse aquifers of arid and semi-arid regions of India by Imran Khan, Sarwar Nizam, Apoorva Bamal, Abdul Majed Sajib, Mir Talas Mahammad Diganta, Mohd Azfar Shaida, S.M. Ashekuzzaman, Stephen Nash, Agnieszka I. Olbert, Md Galal Uddin

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High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics by Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali

“…Developing the parameter estimation, particularly direction of arrival (DOA), utilizing the swarming intelligence-based flower pollination algorithm (FPA) is considered an optimistic solution. …”
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Leveraging Artificial Intelligence for Smart Healthcare Management: Predicting and Reducing Patient Waiting Times with Machine Learning by Kristijan CINCAR, Todor IVAŞCU

“…The performance of each model was assessed using key regression metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²). …”
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Developing a simple artificial intelligence fuzzy-based model for estimating saturated hydraulic conductivity of soil by Mohammad Naderianfar

“…In recent years, the use of intelligent systems for estimating various soil parameters has significantly increased. …”
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Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems by Siow Jat Shern, Md Tanjil Sarker, Mohammed Hussein Saleh Mohammed Haram, Gobbi Ramasamy, Siva Priya Thiagarajah, Fahmid Al Farid

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