Parameter estimation in solar power plant systems: a comparative study of recursive and iterative techniques by Kiavash Hossein Sadeghi, Mahmood Shafikhah, Arash Marashian, Emad Roshandel, Abolhassan Razminia

“…Additionally, we employed both recursive and hierarchical algorithms to identify the system parameters effectively. …”
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Estimativa de risco de contaminação de mananciais por agrotóxicos utilizados em culturas de café Risk estimate of water contamination by pesticides used in coffee crops by Alexandra F. S. Soares, Mônica M. D. Leão, Márcio R. Vianna Neto, Sílvia M. A. C. Oliveira

“…Moreover, the city possesses many different water sources directed to the public water supply, and 13 points of surface and groundwater pumping. There have also been several occurrences of cancer in the local population. …”
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Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building by Rina Bitar, Nicolas Youssef, Julien Chamoin, Fadi Hage Chehade, Didier Defer

“…The multi-zone approach was also validated experimentally by using real experimental data, demonstrating significant reductions in energy consumption.…”
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Legal Means of Providing the Principle of Transparency of the Artificial Intelligence by Yu. S. Kharitonova

“…It is proposed to discuss the variants of managing algorithmic transparency and accountability based on the analysis of social, technical and regulatory problems created by algorithmic systems of artificial intelligence. …”
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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

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Artificial Intelligence for data modeling in triboelectric nanogenerators by Chenjia Li, Ali Matin Nazar

“…Deep learning techniques are shown to enhance noise filtering, feature extraction, and adaptive feedback, transforming TENGs into intelligent platforms for healthcare, robotics, IoT systems, and smart environments. The review also addresses key challenges such as data variability, environmental robustness, and algorithmic scalability, and future directions in hybrid energy systems, adaptive algorithms, and cross-disciplinary collaboration for sustainable, intelligent sensing technologies.…”
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New Insight of Time-transformed Symplectic Integrator. I. Hybrid Methods for Hierarchical Triples by Long Wang

“…The logarithmic time-transformed explicit symplectic integrator (LogH), also known as algorithmic regularization, is a state-of-the-art method for this purpose. …”
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UAV Path Optimization for WSN in Smart Agriculture by Katia Karam, Ali Mansour, Mohamad Khaldi, Benoit Clement, Mohammad Ammad-Uddin

“…Additionally, the proposed algorithm proves to have low computational complexity in various scenarios. …”
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Application of Machine Learning for Adaptive Trajectory Control of UAVs Under Uncertainty by Alexander S. Ermilov, Olga A. Saltykova

“…Parameters such as system adaptability, trajectory correction accuracy, and stability under challenging conditions are studied to assess the accuracy and efficiency of the proposed algorithms. The study also investigates the impact of computational power limitations on the real-time performance of algorithms. …”
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Hyperspectral unmixing with spatial context and endmember ensemble learning with attention mechanism by R.M.K.L. Ratnayake, D.M.U.P. Sumanasekara, H.M.K.D. Wickramathilaka, G.M.R.I. Godaliyadda, H.M.V.R. Herath, M.P.B. Ekanayake

“…Most of these networks use an Endmember Extraction Algorithm(EEA) for the initialization of their network. …”
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Reliability-Based Optimum Design of Dome Truss Structures through Enhanced Vibration Particle System by Pedram Hosseini, Nasibeh Hatami, Seyed Rohollah Hoseini Vaez

“…Meta-heuristic algorithms can be used to achieve optimal design and appropriate safety since mathematical calculations are time-consuming. …”
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Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning by Yinghui Yang, Yahui Dai, Qunting Yang

“…Machine learning offers a promising alternative by enabling the creation of advanced predictive models and algorithms that can improve the accuracy and efficiency of OMC predictions compared to traditional empirical methods. …”
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Securing Urban Landscape: Cybersecurity Mechanisms for Resilient Smart Cities by Qiang Lyu, Sujuan Liu, Zhouyuan Shang

“…This integration not only enhances the security posture of smart cities but also provides a foundation for future advancements in urban cybersecurity. …”
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Efficient Hybrid-Robust Approach for Cancer Biomarker Discovery Using Omics Data by Karima Sid, Soumia Zertal, Mohamed Batouche, Soumeya Zerabi

“…DNA Microarray datasets, also known as “omics” data, are important for the diagnosis of numerous diseases, including cancer and tumors. …”
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Advancing overbreak prediction in drilling and blasting tunnel using MVO, SSA and HHO-based SVM models with interpretability analysis by Yulin Zhang, Jian Zhou, Jialu Li, Biao He, Danial Jahed Armaghani, Shuai Huang

“…To address these limitations, this research proposes three innovative hybrid models that integrate metaheuristic optimization algorithms with support vector machine (SVM): multi-verse optimizer-SVM (MVO-SVM), salp swarm algorithm-SVM (SSA-SVM), and Harris’s Hawk optimization-SVM (HHO-SVM). …”
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AI Personalization and Its Influence on Online Gamblers’ Behavior by Florin Mihai, Ofelia Ema Aleca, Daniel-Marius Iordache

“…Further studies should also investigate the development of predictive models aimed at countering gambling addiction; evaluate the long-term ethical implications of algorithmic personalization; and discuss potential solutions codeveloped to foster a responsible gambling climate.…”
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A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things by M. Wasim Abbas Ashraf, Arvind R. Singh, A. Pandian, Rajkumar Singh Rathore, Mohit Bajaj, Ievgen Zaitsev

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Sustainable Co-Habitation Housing Design: A Computational Approach for Addressing Biodiversity Threats in the Galapagos Islands by Gianfranco Maiorano, Natalia Juca Freire, Rapas Teparaksa, Pinak Dilip Bhapkar, Elif Erdine, Milad Showkatbakhsh

“…These algorithms enhance architectural performance, facilitating co-habitation between humans and animals, with an emphasis on modularity and adaptability in architectural morphology. …”
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A sustainable approach to deep geothermal energy exploitation: feasibility of clustered U-shaped multi-branch wells by Tao Xu, Tao Xu, Shouding Li, Shouding Li, Zhaobin Zhang, Zhaobin Zhang, Yanlong Kong, Yanlong Kong, Bo Zheng, Bo Zheng, Shiwei Ma, Shiwei Ma, Supeng Zhang, Supeng Zhang, Jianming He, Jianming He, Xiao Li, Xiao Li

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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…Specific attention is given to the use of machine learning and deep learning in imaging analysis, AI-driven predictive analytics for patient stratification and risk modeling, and the evolution of robotic-assisted surgical techniques. The review also explores cost-effectiveness data, resource optimization, and challenges such as algorithmic bias and data privacy. …”
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