Degradation Analysis of Chaotic Systems and their Digital Implementation in Embedded Systems by Rodrigo Méndez-Ramírez, Adrian Arellano-Delgado, Miguel Murillo-Escobar, César Cruz-Hernández

“…Digital implementation of chaotic systems (CSs) has attracted increasing attention from researchers due to several applications in engineering, e.g., in areas as cryptography and autonomous mobile robots, where the properties of chaotic systems are strongly related. …”
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Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model by Yi Jie Wang, Wei Chong Choo, Keng Yap Ng, Ran Bi, Peng Wei Wang

“…This study not only reveals current research hotspots and technological trends in AI for healthcare but also proposes an advanced research method. …”
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An exploratory study of high-educated poverty through machine learning approach: a case study of East Java, Indonesia by Dias Satria, Risti Permani, Kodrad Winarno, David Kaluge, Citra Rahayu Indraswari, Radityo Putro Handrito

“… Purpose – the purpose of the article is to compare the importance factors for high-educated poverty modeling in the four cultural regions of East Java.  Research methodology – using data from the Indonesian National Survey, this study employs Random Forest (RF), Extreme Gradient Boosting (XGBoost), Artificial Neural Network (ANN), and K-Nearest Neighbor (KNN) algorithms as classification methods in machine learning.  …”
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Face Anti-Spoofing Based on Deep Learning: A Comprehensive Survey by Huifen Xing, Siok Yee Tan, Faizan Qamar, Yuqing Jiao

“…Next, it introduces popular datasets used in FAS research and highlights their characteristics. Finally, it summarizes the current research challenges and future directions for FAS, such as its limited generalization for unknown attacks, the insufficient multi-modal research, the spatiotemporal efficiency of algorithms, and unified detection for presentation attacks and deepfakes. …”
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PaySwitch: Smart Contract-Based Payment Switch for Off-Chain Payment Channel Networks by Anan Jin, Yuhang Ye, Brian Lee, Xiang Li, Yuansong Qiao

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Intelligent Manufacturing in Wine Barrel Production: Deep Learning-Based Wood Stave Classification by Frank A. Ricardo, Martxel Eizaguirre, Desmond K. Moru, Diego Borro

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Application of unified microprocessor relay protection units in electrical machine diagnostics by V. I. Polishchuk, M. V. Kritsky, D. M. Bannov, S. V. Malyshev

“…The authors conducted the research using two experimental units for asynchronous motor and synchronous generator, respectively. …”
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How we treat polycythemia vera by V. A. Shuvaev, I. S. Martynkevich

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Superservice: Concept, Content, and Modeling by Aleksei D. Neroslov, Polina Yu. Kuznetsova

Passive Microwave Imagers, Their Applications, and Benefits: A Review by Nazak Rouzegari, Mohammad Bolboli Zadeh, Claudia Jimenez Arellano, Vesta Afzali Gorooh, Phu Nguyen, Huan Meng, Ralph R. Ferraro, Satya Kalluri, Soroosh Sorooshian, Kuolin Hsu

“…Passive Microwave Imagers (PMWIs) aboard meteorological satellites have been instrumental in advancing the understanding of Earth’s atmospheric and surface processes, providing invaluable data for weather forecasting, climate monitoring, and environmental research. This review examines the relevance, applications, and benefits of PMWI data, focusing on their practical use and benefits to society rather than the specific techniques or algorithms involved in data processing. …”
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User perspectives on AI explainability in aerospace manufacturing: a Card-Sorting study by Sofia Morandini, Federico Fraboni, Mark Hall, Santiago Quintana-Amate, Luca Pietrantoni

“…These findings support the human-centric development of AI technologies and lay the groundwork for future research exploring user-centered approaches in different high-stakes industrial contexts.…”
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National Exposed Sediment Search and Inventory (NESSI): Utilizing Satellite Imagery and Machine Learning to Identify Dredged Sediment Placement Site Recovery by Thomas P. Huff, Emily R. Russ, Todd M. Swannack

“…To move towards BUDM more broadly, new tools need to be developed to allow researchers and managers to understand the effects and benefits of this practice. …”
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Imaging genomics of cancer: a bibliometric analysis and review by Xinyi Gou, Aobo Feng, Caizhen Feng, Jin Cheng, Nan Hong

“…Conclusions Publication databases provide data support for imaging genomics research. The development of artificial intelligence algorithms, especially in feature extraction and model construction, has significantly advanced this field. …”
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A Review of Optimization Scheduling for Active Distribution Networks with High-Penetration Distributed Generation Access by Kewei Wang, Yonghong Huang, Yanbo Liu, Tao Huang, Shijia Zang

“…Finally, the paper outlines potential future research directions for ADN optimization dispatch.…”
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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…The integration of geospatial techniques and machine learning algorithms has revolutionized our ability to analyze and predict changes in land parcels. …”
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“Who Shall Dare Compute in Dollars and Cents the Worth of One Mind!”: Mental Health, Disability, Addiction, and Jim Crow Laws in North Carolina, 1866–1967 by Hannah L. Jacobs

“…In this paper, I present findings from a graduate research fellowship with On The Books: Jim Crow and Algorithms of Resistance. …”
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Digital Empowerment in Social Work: Leveraging AI to Enhance Educational Access in Developing Nations by Zvinodashe Revesai, Benjamin Tungwa, Telson Anesu Chisosa, Vanessa Runyararo Meki

“…The findings show that, with careful implementation and consideration of the context, artificial intelligence can reduce inequalities in education and enhance students' abilities through personalized learning paths, virtual environments for practice, and automated feedback systems. However, this research points out the need for addressing the digital divide and ethical issues associated with artificial intelligence, including problems of privacy and algorithmic bias. …”
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Modeling of double ground fault modes in power supply systems of non-traction consumers of railway transport by A. V. Kryukov, I. S. Ovechkin, K. V. Suslov

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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

“…This research makes use of the UCI ML repository to access the credit card defaulted customer dataset. …”
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Among the DLTs: Holochain for the Security of IoT Distributed Networks—A Review and Conceptual Framework by Shereen Ismail, Raouf Mehannaoui, Eden Teshome Hunde, Hassan Reza

“…Holochain, an emerging distributed ledger technology (DLT), offers the benefits of blockchain while overcoming its limitations, such as the reliance on consensus algorithms and a globally synchronized ledger. As a result, Holochain has garnered attention in the research community as a promising solution for distributed IoT applications. …”
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