Artificial intelligence for smart irrigation: Reducing water consumption and improving agricultural output by Arlanova A. A., Hojamkuliyeva B. A., Babanazarov N. Sh., Arlanov M. S.

“…A mathematical model based on machine learning algorithms is developed to predict the optimal water volume required for irrigation of agricultural crops. …”
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Artificial intelligence‐driven insights: Precision tracking of power plant carbon emissions using satellite data by Zeqi Zhang, Di Leng, Yingjie Li, Xuanang Gui, Yuheng Cheng, Junhua Zhao, Zhengwen Zhang, Amer M. Y. M. Ghias

“…This study uses a new sophisticated pipeline that combines tropospheric monitoring instrument satellite data, power plant attributes, and advanced artificial intelligence algorithms to build a predictive carbon emission model. …”
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Modeling the effects of climate change scenarios on the potential distribution of Vespa crabro Linnaeus, 1758 (Hymenoptera: Vespidae) in a Mediterranean biodiversity hotspot by Erika Bazzato, Arturo Cocco, Emanuele Salaris, Ignazio Floris, Alberto Satta, Michelina Pusceddu

“…The individual models were weighted based on spatial cross-validation performance and combined to obtain the ensemble model.Performance varied among 150 individual models (3 algorithms × 10 replicates × 5 folds), depending on the algorithms, replicates, and subsets selected for training and testing. …”
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Near-Infrared Spectroscopy Combined With Support Vector Machine Model to Realize Quality Control of Ginkgolide Production by Lei Liu, Jun Wang, Haiyi Bian, Ahmed N. Abdalla

“…The collect extensive NIRS data throughout the ginkgolide production process and develop chemometric models using PLS, SVM, and random forest algorithms. These models are rigorously validated through cross-validation and independent testing to assess their accuracy and precision in predicting chemical content and classifying product stages. …”
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CPP: a path planning method taking into account obstacle shadow hiding by Ruixin Zhang, Qing Xu, Youneng Su, Ruoxu Chen, Kai Sun, Fengchang Li, Guo Zhang

“…We also proposed a Minimum-Jerk Trajectory Optimization method with controllable path noise points, which enhanced path smoothness and reduced predictability. Comparative analysis showed that CPP significantly outperformed five other algorithms—RRT, Improved B-RRT, RRT*, Informed RRT*, and Potential Field-by reducing running time by 46.01% to 93.3%, increasing path safety by 10.42% to 83.44%, and improving path smoothness, making it particularly effective for path planning in tactical scenarios involving unmanned vehicles.…”
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Role,application and challenges of IoT in smart EV charging management:a review by Tripti Kunj, Kirti Pal

“…Additionally, the paper emphasizes the importance of adaptive algorithms and machine learning models for predictive maintenance and efficient resource allocation. …”
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BREATHE: A GeoAI-Powered Air Quality Monitoring and Forecasting System for Urban Sustainability by S. D. Adduri, T. Ali

“…The research implements deep learning algorithms alongside geographical data to establish a scalable system for air quality management. …”
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Reference-Free Assessment of Speech Intelligibility Using Bispectrum of an Auditory Neurogram. by Mohammad E Hossain, Wissam A Jassim, Muhammad S A Zilany

“…This metric could be applied to evaluate the performance of various speech-processing algorithms designed for hearing aids and cochlear implants.…”
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The Influence Mechanism of Narrative Strategies Used by Virtual Influencers on Consumer Product Preferences by Yuelong Zeng, Gefei Pu, Jingwen Liu, Wenting Feng

“…As social media has risen, virtual social media influencers have become a significant tool in modern marketing, utilizing computer-generated images (CGI), machine learning algorithms, and artificial intelligence technologies to connect with consumers via virtual online personas. …”
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RATIONALE FOR PREVENTION OF CARDIO-CEREBRAL COMPLICATIONS IN THE METABOLIC SYNDROME BASED ON MATHEMATICAL FORECASTING TECHNIQUES by S. V. Chernavskii, A. N. Fursov, N. P. Potekhin, V. N. Yakovlev

“…The diagnostic and treatment algorithms developed based on the stratification of cardiovascular risk index, allow us to give sound recommendations for targeted prevention of cardio-cerebral complications.…”
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ABCD microstates: a new word in EEG mathematical analysis by A. A. Ivanov

“…With the advent of computer electroencephalographs, mathematical methods for EEG processing began to actively develop, some of which have found their application in current clinical practice, others – in brain-computer systems, some algorithms are used only in scientific research, whereas the remaining have shown inefficiency and become undemanded. …”
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AI-Driven Surrogate Model for Room Ventilation by Jaume Luis-Gómez, Francisco Martínez, Alejandro González-Barberá, Javier Mascarós, Guillem Monrós-Andreu, Sergio Chiva, Elisa Borrás, Raúl Martínez-Cuenca

“…The control of ventilation systems is often performed by automatic algorithms which often do not consider the future evolution of the system in its control politics. …”
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A Literature Review on Arabic Automatic Question Generation by Abdulkhaleq Amin Abdullah, Khaled A. Al-Soufi

“… This comprehensive literature review is dedicated to the field of Arabic Automatic Question Generation (AQG), which focuses on the development of computational models and algorithms for the automatic generation of questions. …”
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Personalized treatment decision-making using a machine learning-derived lactylation signature for breast cancer prognosis by Simin Min, Xiaonan Zhang, Yuling Liu, Weiqiang Wang, Jingwen Guan, Yuyan Chen, Meng Sun, Ziheng Wang, Tao Wang

“…Immune microenvironment characteristics were analyzed using multiple immune infiltration algorithms. Computational drug-repurposing analyses were conducted to identify potential therapeutic agents for high-risk patients.ResultsThe MLLS effectively stratified patients into low- and high-risk groups with significantly different prognoses. …”
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THE LABORATORY-MODELLING COMPLEX FOR RESEARCH of QUALITY INDICATORS Of TELEVISION TYPE OpTiCAL loСation SYSTEM WORK by R. A. Hutsau, A. S. Solonar, S. V. Tsuprik

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Development of an Artificial Intelligent Lighting System for Protected Crops by Basil Mohammed Al-Hadithi, Cecilia E. García Cena, Raquel Cedazo León, Carlos Loor Loor

“…It also allows selecting the appropriate control strategy with a choice of selecting a predictive control or PD control system. Both algorithms make use of a mathematical model of the lamps which is responsible for transforming the signals generated by the drivers in digital signals that govern the operation of the implemented electronic system. …”
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On the Importance of Learning Non‐Local Dynamics for Stable Data‐Driven Climate Modeling: A 1D Gravity Wave‐QBO Testbed by Hamid A. Pahlavan, Pedram Hassanzadeh, M. Joan Alexander

“…Abstract Model instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking. …”
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Soft Schemes for Earthquake-Geotechnical Dilemmas by Silvia García

“…Considering the strengths and weaknesses of the algorithms, in this work a criterion to leverage the best features to develop efficient hybrid models is presented. …”
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GenAI-Based Jamming and Spoofing Attacks on UAVs by Burcu Sonmez Sarikaya, Serif Bahtiyar

“…Creating effective intrusion detection systems against such attacks has been a significant challenge since there is a lack of sufficient attack data that can be used to design an intrusion detection system with advanced computing algorithms. In this research, we propose a novel framework to create attacks data for UAVs by using generative artificial intelligence algorithms. …”
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Exploring qubit-ADAPT-VQE for materials discovery in direct air capture by Marco Antonio Barroca, Rodrigo Neumann Barros Ferreira, Mathias Steiner

“…Quantum computing can potentially accelerate the discovery of solid sorbents for DAC by predicting molecular binding energies. In this work, we explore algorithms for predicting gas adsorption in metal–organic frameworks using a quantum computer. …”
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