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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The Three Laws of Artificial Intelligence: Re-Evaluating Human-AI Agency and Interaction in a Time of the Generative and Agentic AI Ren[ai]ssance by Aras Bozkurt

“…In all, the article advocates for a shift from Asimov’s robot-centric rules to adaptive, human-centric governance frameworks that prioritize transparency, accountability, and the preservation of human agency within an “algorithmic panopticon.” …”
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Quantitative Defect Analysis in CVD‐Grown Monolayer MoS2 via In‐Plane Raman Vibration by Moha Feroz Hossen, Sachin Shendokar, Md. Arifur Rahman Khan, Shyam Aravamudhan

“…The study introduces a quantitative defect measurement technique for CVD‐grown monolayer MoS2 using Raman 𝐸12g mode, employing sequential data processing algorithms to reveal defect density on the film surface.…”
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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

“… In recent years, the global education system has undergone a transformative shift, relying increasingly on online tools to prove its resilience in the face of various challenges, including epidemiological events. …”
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Towards a smart debt collection system: a Design Science Research approach by Michał Przybyłek, Adam Przybyłek, Konrad Wojciechowski, Illia Shkroba

“…The application of AI algorithms in this context has the potential to revolutionize the industry and enhance overall debt collection practices. …”
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Benefits and Challenges of AI-Based Digital Twin Integration in the Saudi Arabian Construction Industry: A Correspondence Analysis (CA) Approach by Aljawharah A. Alnaser, Haytham Elmousalami

“…The Fourth Industrial Revolution (4IR) has accelerated the construction industry’s shift toward digital transformation. This progress is mainly driven by the emergence of innovative technologies, including artificial intelligence (AI) and digital twins (DTs). …”
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Intelligent Fault Diagnosis Across Varying Working Conditions Using Triplex Transfer LSTM for Enhanced Generalization by Misbah Iqbal, Carman K. M. Lee, Kin Lok Keung, Zhonghao Zhao

“…While various machine/deep learning algorithms have been employed extensively for diagnosing faults in bearings and gears, the scarcity of data and the limited availability of labels have become a major bottleneck in developing data-driven diagnosis approaches, restricting the accuracy of deep networks. …”
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Artificial Intelligence in Pathology: Past, Present, and Future Perspectives by Isma Balaj, Sibora Bërdica, Teona Bushati

“…The implementation of computational pathology and the use of pathology-related AI tools can be viewed as a paradigm shift that will transform the management of pathology services. …”
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Hybrid CNN-LSTM With Attention Mechanism for Robust Credit Card Fraud Detection by Iman Akour, Nour Mohamed, Said Salloum

“…In an era marked by rapid technological advancements and a global shift toward cashless transactions, credit card fraud has emerged as a significant challenge, causing substantial financial losses and threatening the security of consumers and financial institutions. …”
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Integrating solar and wind energy into the electricity grid for improved power accessibility by Collins N. Nwagu, Chika Oliver Ujah, Daramy V.V. Kallon, Victor S. Aigbodion

“…This work offers stakeholders insights into utilizing the hybrid system for electricity access and shift towards cleaner and renewable energy.…”
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AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…Artificial intelligence and bioacoustics represent a paradigm shift in non-invasive poultry welfare monitoring through advanced vocalization analysis. …”
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Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review by Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah

“…The benefits and consequences of these online peers are unclear and mainly cause a behavioral shift in user sentiment toward vaccination. This scoping review aims to identify the community and individual factors that longitudinally influence public behavior toward vaccination. …”
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