SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

“…Three abstract forms of composite linguistic summaries representing Evidence, Contrast and Emphasis relations are specified, inspired by Rhetorical Structure Theory. Also, a method based on Association Rules Mining, implements SUMMARIA in problem-solving via five algorithms. …”
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Practical use of on-board fuel metering systems of diesel locomotives by K. P. Popov

“…The results of on-board systems data processing are also presented, showing that the effect of the spread in the number of throttle position switches observed in ordinary operation of diesel shunter on fuel consumption is comparable to the error in determining this value according to the on-board systems data. …”
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Nanoscale frontiers in cancer diagnosis and therapy by Tamer A. Addissouky

“…Furthermore, it explores the future convergence of nanotechnology with artificial intelligence, machine learning, and advanced imaging, emphasizing the potential for personalized and precision medicine. The review also addresses emerging ethical and technical challenges, including data privacy and algorithmic transparency, as nanomedicine moves toward clinical reality. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

“…These technologies have the potential to completely redefine the future of education, introducing the possibility of personalized learning and the adaptation of teaching materials to the specific needs and abilities of each student. It also opens up the possibility of overcoming barriers in education in cases where there is no access to traditional education. …”
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Normalization of Retinal Birefringence Scanning Signals by Boris I. Gramatikov, David L. Guyton

“…The proposed normalization method is also applicable to other polarization-sensitive optical instruments.…”
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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges by Ceray Aldemir, Tuğba Uçma Uysal

“…However, challenges such as algorithmic bias, data privacy issues, and the need for strong ethical guidelines still exist, and these could hinder the equitable use of AI. …”
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A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology. by Duhita Sengupta, Sk Nishan Ali, Aditya Bhattacharya, Joy Mustafi, Asima Mukhopadhyay, Kaushik Sengupta

“…This novel Deep Hybrid Learning model, though derived from classical machine learning algorithms and standard CNN, showed a training and validation AUC score of 0.99 whereas the test AUC score turned out to be 1.00. …”
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Usage of short video applications (SVAs): Exploring Italian users’ social representations of short video creators and trust in informational and educational SVA content providers by Willow-G. Curry, Elisa Colì

“…Quantitative analysis also indicates that trust in SVA creators is moderate overall but higher among students and users who engage more frequently and for extended periods. …”
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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…Various methods for ICE fault identification, such as vibration analysis, thermography, acoustic analysis, and optical approaches, are reviewed. This paper also explores the latest approaches for detecting ICE faults. …”
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Acute Appendicitis Remains a Great Mimicker – The Pitfalls in the Differential Diagnosis and Tactics - A Case Report by Georgi Popivanov, Marina Konaktchieva, Vladimir Vasilev, Kirien Kjossev, Marin Penkov, Dimitar Penchev

“…All emergency surgeons should also be familiar with the scenario of unexpected findings at laparotomy, especially with the management of CD and the algorithms for treatment of appendiceal malignancies. …”
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Application of machine deep learning technology in tight sandstones reservoir prediction: A case study of Xujiahe Formation in Xinchang, western Sichuan Depression by QIAN Yugui

“…Pre-stack inversion techniques were combined with machine deep learning algorithms to construct an interpretation model. This innovative method ultimately achieved quantitative predictions of sandstone thickness and reservoir properties. …”
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Quasi-ADS-B Based UAV Conflict Detection and Resolution to Manned Aircraft by Chin E. Lin, Ya-Hsien Lai

“…Different conflict detection and collision avoidance algorithms can be implemented into the system to ensure flight safety. …”
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Proposal of an open-source accelerators library for inference of transformer networks in edge devices based on Linux by Alejandro Araya-Núñez, Justin Fernández-Badilla, Daniel González-Vargas González-Vargas, Jimena León-Huertas, Erick-Andrés Obregón-Fonseca, Danny Xie-Li

“…The proposal also includes a library of hardware accelerators that can be customized to select the desired accelerators based on the device’s resources and operations to be accelerated.…”
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Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising by Zihao Chen, Alex Noel Joseph Raj, Vijayarajan Rajangam, Wei Li, Vijayalakshmi G.V. Mahesh, Zhemin Zhuang

“…Convolutional neural networks are given extensive attention towards noise removal due to their good performance over traditional denoising algorithms. With shallow conventional neural networks, the feature extraction ability is not profound. …”
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A Comprehensive Survey on Machine and Deep Learning for Optical Communications by Mohammad Ali Amirabadi, S. Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen

“…Specific emphasis is placed on identifying how these algorithms enhance system performance and optimization. …”
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AI-powered blockchain technology in industry 4.0, a review by Mohsen Soori, Roza Dastres, Behrooz Arezoo

“…Artificial Intelligence (AI) algorithms can be employed to enhance the security of the blockchain networks in the era of industry 4.0. …”
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Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches by M. Guastella, M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro

“…Traditional algorithms rely on handcrafted features, while CNNs learn hierarchical representations directly from raw data. …”
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Discovering User Sentiment Patterns in Libraries with a Hybrid Machine Learning and Lexicon-Based Approach by Dini Nurmalasari, Dini Hidayatul Qudsi, Nessa Chairani, Heri R Yuliantoro

“…Both SVM and Random Forest achieve an outstanding accuracy of 99%, indicating highly reliable sentiment categorization. Notably, these algorithms also achieve 100% precision, recall, and F1-score, demonstrating their effectiveness in accurately identifying positive and negative user sentiment. …”
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Advances in Remote Sensing and Deep Learning in Coastal Boundary Extraction for Erosion Monitoring by Marc-André Blais, Moulay A. Akhloufi

“…An overview of how these extracted boundaries and other deep learning algorithms can be utilized for monitoring coastal erosion is also provided. …”
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Predicting Credit Card Fraud using Supervised Machine Learning Methods: Comparative Analysis by Güner Altan, Metin Recep Zafer

“…The accuracy scores of the algorithms used in the model setup were determined as follows: Logistic Regression, 92.5%; Decision Tree, 93.1%; K-Nearest Neighbour 86.4%; Random Forest 91.8% and Gradient Boosting 86.9% and performance metrics, such as precision, recall, F1 score, and ROC-AUC, were also examined. …”
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