Development and Simulation of PID-Controller Fuel Cell System with DC-DC Boost Converter by Marghani Assia, Rerhrhaye Fathallah, Ennaciri Yassine, Bouguanssa Issam, El Ayachi Chater, El Akkary Ahmed, Sefiani Nacer

“…In the context of the global shift towards sustainable energy, fuel cells have emerged as a promising technology due to their high efficiency and low environmental impact. …”
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Enhancing blockchain transaction classification with ensemble learning approaches by Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Rourab Paul, Ajit Kumar Nayak, Subrata Chowdhury, Ramya Govindaraj, J Shreyas

“…Various ML classification algorithms are applied to the selected features from two ensemble feature selection algorithms as the base learners to make initial predictions. …”
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Flexible Configurable Modular Neural Network-Based OFDM Receiver by A. B. Sergienko, P. V. Apalina, A. D. Lebedinskaya

“…The proposed OFDM receiver for all considered modulation types provided error rates comparable to those of the baseline algorithms under favorable channel conditions (moderate delay spread with low Doppler spread) and outperformed baseline algorithms in severe conditions (channel with a large delay spread and high Doppler spread). …”
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DDPG-Based UAV-RIS Framework for Optimizing Mobility in Future Wireless Communication Networks by Yasir Ullah, Idris Olalekan Adeoye, Mardeni Roslee, Mohd Azmi Ismail, Farman Ali, Shabeer Ahmad, Anwar Faizd Osman, Fatimah Zaharah Ali

“…A modified K-means clustering algorithm is used to efficiently partition the ground users (GUs) considering the newly added GUs as well. …”
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Combined Treatment of Giant Extra-Intracranial Arteriovenous Malformation by V. A. Lukyanchikov, V. A. Dalibaldyan, S. Yu. Roschin, I. I. Goncharova, G. K. Guseynova, S. V. Zhuravel, V. A. Karanadze, A. S. Koblik, V. E. Ryabukhin, A. V. Sachkov, A. A. Grin, V. V. Krylov

“…In addition, arteriovenous malformations can cause nutritional disorders (trophism) of the soft tissues located near them. Extracranial arteriovenous malformations are rare and dangerous vascular anomalies. …”
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A tutorial on ‘capped utilisation’ as a metric and key performance target in NHS England’s Model Hospital operating theatres database: caution for international healthcare systems... by Chen Zhang, Claire Dunstan, Jaideep J. Pandit

“…It has proved unachievable in any sustainable way, and its underlying algorithm produces aberrant values. We discuss the serious consequences of basing other national policies or funding models on a fundamentally flawed metric. …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…To directly address these issues, our innovative approach utilizes a spatial attention-based Transductive Long Short-Term Memory (TLSTM) model combined with a Reinforcement Learning (RL) strategy, which is further enhanced by a novel scope loss function for refined feature selection and an Artificial Bee Colony (ABC) algorithm for hyperparameter optimization. The TLSTM model surpasses traditional LSTM models by effectively capturing subtle temporal shifts and prioritizing data points proximate to the test sample, thereby enhancing model generalization. …”
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High-fidelity tissue super-resolution imaging achieved with confocal2 spinning-disk image scanning microscopy by Qianxi Liang, Wei Ren, Boya Jin, Liang Qiao, Xichuan Ge, Yunzhe Fu, Xiaoqi Lv, Meiqi Li, Peng Xi

“…Additionally, the DPA-PR algorithm effectively corrects Stokes shifts, optical aberrations, and other non-ideal conditions, achieving a lateral resolution of 144 nm and an axial resolution of 351 nm, and a linear correlation of up to 92% between the original confocal and the reconstructed image, thereby enabling high-fidelity super-resolution imaging. …”
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Controllability test for nonlinear datatic systems by Yujie Yang, Letian Tao, Likun Wang, Shengbo Eben Li

“…Starting with a specific target state, our algorithm can iteratively propagate controllability from a known state ball to a new one. …”
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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…Future efforts should optimize intelligent algorithms to shift 3D point cloud technology from ''single technological breakthrough'' to ''systemic capability development,'' supporting automated structural health monitoring and resilient urban development.…”
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NOVEL MICROWAVE SENSOR FOR ENHANCED BIOCHEMICAL DETECTION AND PREDICTION THROUGH MACHINE LEARNING FOR INDUSTRIAL APPLICATIONS by G. Challa Ram, M. Venkata Subbarao, K. Padma Satya Sri, Naveen Kumar Maurya, D. Ramesh Varma, M. Prema Kumar

“…The changing dielectric constant of the analyte induces a frequency shift, allowing for the identification of different materials. …”
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Trends in the sustainable use of artificial intelligence: a bibliometric approach by Alejandro Valencia-Arias, Jesus Alberto Jimenez Garcia, Toño Eldrin Alvites Adan, Ezequiel Martínez Rojas, Jackeline Valencia, Erica Agudelo-Ceballos, Hernán Uribe Bedoya, Gustavo Adolfo Moreno López

“…Abstract The application of artificial intelligence (AI) in sustainable practices entails the utilization of techniques and algorithms to address environmental, social, and economic challenges with the objective of promoting sustainability across various sectors. …”
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Machine learning applied to the design and optimization of polymeric materials: A review by Sudarsan M. Pai, Karim A. Shah, Sruthi Sunder, Rodrigo Q. Albuquerque, Christian Brütting, Holger Ruckdäschel

“…Machine learning (ML) offers a promising solution to this issue. By leveraging ML algorithms, researchers can accelerate the design process, predict material properties more rapidly, and optimize formulations. …”
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Discontinuous surface extraction method based on 3D point cloud by Linsong Zhu, Shuangquan Li, Tianjiao Li, Tianjiao Li, Xuewu Sun, Fuqiang Ren, Fuqiang Ren

“…The methodology integrates K-nearest neighbor (KNN) search and random sample consensus (RANSAC) algorithms to compute normal vectors, followed by mean shift clustering for preliminary grouping and Euclidean clustering for discontinuity orientation. …”
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Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning by Parisa Mohammadi, Razieh Darshi, Saeed Shamaghdari, Pierluigi Siano

“…The depletion of fossil fuel reserves and the urgent need to cut greenhouse gas emissions are driving a significant shift in the global energy sector. This transformation necessitates advanced energy management strategies in microgrids to integrate renewable energy sources efficiently. …”
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Systematic identification and targeting of master regulator checkpoints (MRC) governing tumor microenvironment-mediated immune evasion by Pasquale Laise, Andrea Califano, Xiaoyun Sun, Gideon Bosker, Mariana Babor, Stuart Andrews, Lorenzo Tomassoni, Mariano Alvarez

“…Pharmacological inhibition of subpopulation-specific MRC proteins can thus help reprogram the TIME and potentially abrogate or modulate its immunosuppressive state. This paradigm shift, away from single ligand/receptor targeting, is supported by recent algorithmic, experimental, and clinical advances allowing systematic identification of MRCs and their pharmacological modulators using systems immunology-based approaches. …”
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Assessment and Experimental Validation of Grid-Forming Inverters’ Capability Counteracting Low-Frequency Oscillations by Markel Zubiaga, Ander Ordono, Alain Sanchez-Ruiz, Miren T. Bedialauneta, Paula Castillo

“…While power-electronics-based flexible AC transmission systems (FACTSs) have been the primary solution, the shift of IBR control toward grid forming (GFM) is changing this approach. …”
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Bone diagenesis and stratigraphic implications from Pleistocene karst systems by Héctor Del Valle, Alejandro B. Rodríguez-Navarro, Abel Moclán, Paula García-Medrano, Isabel Cáceres

“…Eleven chemometric indices considering the different bone components (phosphates, carbonates, organic phase), together with the apatite unit cell parameters and cell volume were evaluated by 9 machine learning algorithms for bone diagenesis/stratigraphic classification. …”
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Research on the Enhancement and Development of the Resilience Assessment System for Underground Engineering Disaster Risk by Weiqiang Zheng, Zhiqiang Wang, Bo Wu, Shixiang Xu, Jiacheng Pan, Yuxuan Zhu

“…The integration of intelligent static assessment models based on artificial intelligence algorithms can effectively enhance the accuracy of resilience evaluations. …”
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Unraveling the Reshaping of Human Resource Management Function: the mediating role of artificial intelligence by Samuel Bangura, Anos Chitamba Chitamba, Lucia Zithobile Ngidi, Sizwe Mbona

“… The dynamic nature of the modern work environment is characterized by increasing complexity, diversity, and adaptability beyond traditional workplaces. This shift is predominantly driven by advanced technologies that are transforming human resource management functions within organizations. …”
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