Automatic Registration of Remote Sensing High-Resolution Hyperspectral Images Based on Global and Local Features by Xiaorong Zhang, Siyuan Li, Zhongyang Xing, Binliang Hu, Xi Zheng

“…Nowadays, the trend of satellite remote sensing technology is shifting towards high-resolution hyperspectral imaging technology. …”
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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

“…Finally, we present an overview of the algorithm's comparative performance under varying conditions and configurations to substantiate its ability to accurately model ANS activity. …”
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Integrating digital and narrative medicine in modern healthcare: a systematic review by Efthymia Efthymiou

“…The increasing integration of digital technologies in healthcare, such as electronic health records, telemedicine, and diagnostic algorithms, improved efficiency but raised concerns about the depersonalization of care. …”
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Brain Perfusion Analysis Method using Computed Tomography Images by E. Khudiakova, A. Gavrilov, A. Krylov

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Reinforcement learning in electric vehicle energy management: a comprehensive open-access review of methods, challenges, and future innovations by Georginio Ananganó-Alvarado, Ignacio Umaña-Morel, Brian Keith-Norambuena

“…The study formulates four guiding research questions to analyze types of learning algorithms, evaluation criteria, system-level constraints, and practical implementation aspects. …”
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Towards Predicting Basketball Player Positions with Transformative Insights by Angelos Tsiannis, Christodoulos Efstathiades

“…However, results also show that modern players contribute across multiple positions, reflecting a shift toward versatility. Despite this flexibility, players maintain distinct roles and responsibilities. …”
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Transformer network for time series prediction via wavelet packet decomposition by Zhichao Wu, Aiye Shi, Yan Ping Tao

“…In the real world, non-stationarytime series data with statistical properties shift over time, making predictionmore challenging. …”
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Neuroeconomics in the Age of AI: how machine learning alters human decision-making at the neural level by Dumitru Alexandru BODISLAV, Raluca Iuliana GEORGESCU

“…The study contributes to the emerging field of neuroeconomic design and suggests a paradigm shift toward human-compatible AI systems.…”
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Remote Sensing Applications in Ocean Observation (Second Edition) by Chung-Ru Ho

“…Deep learning and the transformer architecture highlight a paradigm shift in remote sensing data analysis. These advanced techniques help extract complex features from high-dimensional datasets and can process large amounts of data quickly and automatically. …”
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Mapping Data to Concepts: Enhancing Quantum Neural Network Transparency with Concept-Driven Quantum Neural Networks by Jinkai Tian, Wenjing Yang

“…CD-QNN merges the representational capabilities of QNNs with the transparency of self-explanatory models by mapping input data into a human-understandable concept space and making decisions based on these concepts. The algorithmic design of CD-QNN is comprehensively analyzed, detailing the roles of the concept generator, feature extractor, and feature integrator in improving and balancing model expressivity and interpretability. …”
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Combining Global Features and Local Interoperability Optimization Method for Extracting and Connecting Fine Rivers by Jian Xu, Xianjun Gao, Zaiai Wang, Guozhong Li, Hualong Luan, Xuejun Cheng, Shiming Yao, Lihua Wang, Sunan Shi, Xiao Xiao, Xudong Xie

“…Subsequently, the improved GA-OTSU thresholding algorithm is applied for feature segmentation, yielding the initial results. …”
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The Opportunities and Challenges in Integrating AI with Quantum Computing by Tomasz Słapczyński, Marlena Stradomska

“…Quantum computing offers the promise to enhance AI by overcoming computational bottlenecks and enabling novel algorithms, particularly within machine learning and optimization. …”
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Predictive Model to Analyse Real and Synthetic Data for Learners' Performance Prediction Using Regression Techniques by SHABNAM ARA S.J, Tanuja R, Manjula S.H

“…Real-world data availability is often hampered by privacy concerns, prompting a shift towards synthetic data generation. This study presents an empirical comparison of real, synthetic, and mixed (real + synthetic) data sets in forecasting learner performance, deploying an array of regression-based ML algorithms, including Random Forest, Gradient Boosting, XG Boost, K-nearest Neighbor, and Support Vector Regression. …”
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Incidence and prevalence of ANCA-associated vasculitis in Oslo, Norway, applying different criteria-based case definitions: a population-based cohort study by Øyvind Molberg, Cathrine Brunborg, Ragnar Gunnarsson, Garen Torhild, Karin R Kilian, Sigrun Skaar Holme

“…Across the study period, incidence rates increased numerically, and prevalence peaked at 143.7 AAV cases/million adults in 2016.Conclusion This population-based study adds new evidence that AAV increases in Europe and indicates that using the ACR/EULAR 2022 criteria shifts cases from GPA to MPA relative to the EMA algorithm, affecting epidemiology estimates.…”
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Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs by Syed Zain Ul Abideen, Abdul Wahid, Mian Muhammad Kamal

“…Our work aims to maximize secrecy rates for all users under possible eavesdropping scenarios by dynamically adjusting the RIS’s phase shifts and power allocations. This method not only shows how flexible and successful the DDPG algorithm is at protecting wireless communications when used in conjunction with an RIS but it also highlights how much the algorithm has advanced secure communication systems.…”
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Deep learning for predicting the occurrence of tipping points by Chengzuo Zhuge, Jiawei Li, Wei Chen

“…Tipping points occur in many real-world systems, at which the system shifts suddenly from one state to another. The ability to predict the occurrence of tipping points from time series data remains an outstanding challenge and a major interest in a broad range of research fields. …”
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Application of LSB Steganography for Encrypted Data Using Triple Transposition Vigenere on Digital Images by Eko Aribowo, Windy Sayyida Amalya, Nur Rochmah Dyah Puji Astuti

“…This research improves the LSB method by incorporating Vigenere and Triple Transposition algorithms. The Vigenere algorithm secures text by shifting characters based on a key, mitigating the limitations of single permutations, but it remains vulnerable to frequency analysis if the key is too short. …”
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Speech Portrait of a Mentally Unhealthy Character as a Translation Problem by E. A. Barmina, O. G. Skidan

“…This will help avoid shifts in realizing the character’s image in translation.…”
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AntBot-EX: Enhancing robot search efficiency in complex post-disaster environments. by Yao Xue, Chee Keong Tan, Wai Peng Wong

“…The inherent limitations of traditional Coverage Path Planning (CPP) algorithms, particularly their struggle to adapt to the highly dynamic and unpredictable nature of post-disaster environments characterized by collapsed structures, shifting debris fields, and unforeseen obstacles, hinder their effectiveness in time-sensitive rescue operations. …”
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Navigating the complexities of AI and digital governance: the 5W1H framework by S. Matthew Liao, Iskandar Haykel, Katherine Cheung, Taylor Matalon

“…This paper introduces a ''5W1H'' framework to systematically analyze AI governance proposals through six key questions: What should be regulated (data, algorithms, sectors, or risk levels), Why regulate (ethics, legal compliance, market failures, or national interests), Who should regulate (industry, government, or public stakeholders), When regulation should occur (upstream, downstream, or lifecycle approaches), Where it should take place (local, national, or international levels), and How it should be enacted (hard versus soft regulation). …”
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