Future projection of East Asian atmospheric rivers in high-resolution climate models by Yeeun Kwon, Seok-Woo Son

“…The results show a robust increase in AR frequency and associated precipitation in East Asia in the near future (2025–2050). ARs are also projected to become more intense and persistent with a considerable increase in extreme precipitation, although the quantitative change slightly differs depending on the AR detection algorithms. …”
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Integrative multi-omics module network inference with Lemon-Tree. by Eric Bonnet, Laurence Calzone, Tom Michoel

“…We benchmarked Lemon-Tree using large-scale tumor datasets and showed that Lemon-Tree algorithms compare favorably with state-of-the-art module network inference software. …”
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Quantifying Topographic Ruggedness Using Principal Component Analysis by Maan Habib

“…Simultaneously, the standard deviation of elevation is also proposed as an alternative approach to quantifying topographic ruggedness. …”
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Is the concept of mammalian epigenetic clocks universal and applicable to invertebrates? by Ryszard Maleszka

“…Certain aspects of animal ageing can be quantified using molecular clocks or machine learning algorithms that are trained on specific omics data, with epigenetic clocks based on DNA methylation (DNAm) garnering the most attention. …”
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Classifying horse activities with big data using machine learning by Derya Birant, Emircan Tepe

“…Our study is also original in that it compares the accuracies of per-subject (personalized) and cross-subject (generalized) models. …”
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Images Inpainting Quality Evaluation Using Structural Features and Visual Saliency by Shuang Ma, Jinhe Liu

“…Despite the extensive research on developing robust image inpainting algorithms in recent years, there are almost no objective metrics for the quality assessment of inpainted images currently. …”
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Investigation into the Performance Enhancement and Configuration Paradigm of Partially Integrated RL-MPC System by Wanqi Guo, Shigeyuki Tateno

“…The improvement of the partially integrated reinforcement learning-model predictive control (RL-MPC) system is developed in the paper by introducing the Deep Deterministic Policy Gradient (DDPG) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. This framework differs from the traditional ones, which completely substitute the MPC prediction model; instead, an RL agent refines predictions through feedback correction and thus maintains interpretability while improving robustness. …”
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A Comparative Analysis of Artificial Intelligence Regulatory Law in Asia, Europe, and America by Alfiani Francisca Romana Nanik, Santiago Faisal

“…However, the rapid rise of AI also raises significant moral, legal, and social concerns. …”
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Improving Non-Cartesian MRI Reconstruction through Discontinuity Subtraction by Jiayu Song, Qing Huo Liu

“…Multidimensional nonuniform fast Fourier transform (NUFFT) algorithms are utilized to simulate the k-space samples as well as to reconstruct images. …”
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Sat4BIM4D — the concept of using satellite remote sensing to monitor construction progress in conjunction with BIM by Glinka Szymon

“…Advantages, limitations, and potential challenges of the proposed approach are also critically analyzed to pave the way for further development in this domain.…”
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Data-Driven Healthcare: Critically Examining the Role of Self-care and Data-Driven Decision-Making in Diabetes Management by Anna Sigridur Islind, Helena Vallo Hult

“…The new self-care practices may be beneficial in many ways but can also potentially pose risks, and there is a corresponding need to understand underlying algorithms and biases that may affect users. …”
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Quantum circuit unoptimization by Yusei Mori, Hideaki Hakoshima, Kyohei Sudo, Toshio Mori, Kosuke Mitarai, Keisuke Fujii

“…In this paper, we define and construct a quantum algorithmic primitive called quantum circuit unoptimization, which makes a given quantum circuit complex by introducing some redundancies while preserving circuit equivalence, i.e., the inverse operation of circuit optimization. …”
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Power System Voltage Stability Assessment and Control Strategies: State-of-the-Art Review by Yalew Gebru Werkie, George Nyauma Nyakoe, Cyrus Wabuge Wekesa

“…This paper reviews the voltage stability phenomena, voltage stability indices (VSIs) (line and bus), and offline/online voltage stability assessment considering load variations, uncertain renewable energy, and network structures. Multiple VSIs and algorithms quantify voltage stability, providing information on the system’s resilience to disruptions. …”
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RETRACTED: Challenges and opportunities of big data analytics in healthcare by Priyanshi Goyal, Rishabha Malviya

“…Abstract Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. …”
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Encoding and Decoding of Secret Messages Using Matrices. by Niwagaba, James

“…It is hoped that this activity of encoding and decoding messages not only offers teachers write great opportunities to either introduce or consolidate certain mathematical concepts and algorithms but also to convince their students that mathematics plays an important role in various walks of life and hence is a useful and meaningful field of study. …”
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Demonstration of Non-Hermitian Symmetry (NHS) IFFT/FFT Size Efficient OFDM Non-Orthogonal Multiple Access (NOMA) for Visible Light Communication by Assaidah Adnan, Yang Liu, Chi-Wai Chow, Chien-Hung Yeh

“…The proposed scheme is also compared with the HS based direct-current optical (DCO)-OFDM NOMA-VLC system.…”
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Passive sonar with cylindrical array by J. Marszal, W. Leśniak, R. Salamon, A. Jedel, K. Zachariasz

“…Changing signal processing algorithms in the beamformer is all that is required. …”
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A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature by Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan

“…The findings of this study not only help to comprehend the applicability of quantum algorithms in real-world contexts, but they also open the way for future advances in utilizing quantum computing for increased time-series analysis and prediction. …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Anomaly detection has many applications, not only as a step of data preparation but also, for example, as a way of identifying credit card fraud detection, network intrusions and much more. …”
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Gradient boosting for yield prediction of elite maize hybrid ZhengDan 958. by Oumnia Ennaji, Sfia Baha, Leonardus Vergutz, Achraf El Allali

“…Our aim was not only to evaluate and compare these algorithms with existing approaches, but also to comprehensively analyze the resulting model uncertainties. …”
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