Optimal fusion β-quaternion filtering from delayed observations and packet losses with compensation strategy under properness by J. D. Jiménez-López, R. M. Fernández-Alcalá, F. Gutiérrez-Trujillo, E. Grassucci, D. Comminiello

“…A numerical example is presented to illustrate, among other aspects, the substantial reduction in computational time achieved by the proposed algorithm, as well as its superior estimation accuracy compared to conventional quaternion processing methods.…”
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Thermal one-point functions and their partial wave decomposition by Ilija Burić, Francesco Russo, Volker Schomerus, Alessandro Vichi

“…We also extract an asymptotic behaviour of conformal blocks and use it to analyse the density of heavy-heavy-light OPE coefficients for spinning operators, comparing it with semi-classical predictions, such as the dimensions of operators at large charge.…”
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Artificial Intelligence: The Latest Advances in the Diagnosis of Bladder Cancer by Satyendra Singh, Ram Mohan Shukla

“…Moreover, AI-driven diagnostic tools can assist in risk stratification, predicting disease progression, and personalizing treatment plans, thereby contributing to more targeted and effective therapies.…”
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Singularity-Free Adaptive Controller for Uncertain Hysteresis Suspension Using Magnetorheological Elastomer-Based Absorber by Hoa Thi Truong, Xuan Bao Nguyen, Cuong Mai Bui

“…First, a model is designed for the MRE-based absorber to portray the behavior of MRE and predict the appropriate electric current supplied. …”
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Roles of Modeling and Artificial Intelligence in LPBF Metal Print Defect Detection: Critical Review by Scott Wahlquist, Amir Ali

“…The primary objectives of this article are to introduce the reader to the most widely read published data on (1) the roles of numerical and analytical models in LPBF defect detection; (2) AI algorithms and models applicable to predict LPBF metal defects and causes; and (3) the integration of modeling, AI, and sensing technology, which is commonly used in material characterization and has been proven efficient and applicable to LPBF metal part defect detection over extended periods.…”
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Detection of Foreign Bodies in Transmission Line Channels Based on Fusion of Swin Transformer and YOLOv5 by XUE Ang, JIANG Enyu, ZHANG Wentao, LIN Shunfu, MI Yang

“…Finally, considering the mismatch between the real frame and the predicted frame, the structural similarity intersection over union (SIoU) is introduced to optimize the boundary errors and improve the generalization ability of the model. …”
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Kinetic Modelling of Methanol to Propylene Process on Cerium-hierarchical SAPO-34 Catalyst by masoumeh ghalbi-ahangary, Ali Taheri Najafabadi, Parviz Rashidi-Ranjbar, Zahra Taheri

“…The parameters were then estimated based on the experimental data using genetic algorithms. Comparing the experiments with the predicted data suggests a good correlation between the experimental data and the model.…”
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Lay beliefs about AI assessment of interpersonal skills in personnel selection by Ilyung Cheong, Young Eun Huh, Stefano Puntoni

“…Field studies of nurses provide preliminary evidence that AI can outperform humans in predicting interpersonal skills. However, a series of surveys and experiments document widespread lay beliefs in the opposite direction: individuals perceive AI as being less capable than humans in assessing interpersonal skills. …”
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Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Moreover, it addresses the black box problem since the predictions are described to the end users thanks to the combination of LLMS with interpretable ML models (i.e. tree-based algorithms) using feature importance and natural language. …”
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Ecological niche models as a tool for estimating the distribution of plant communities by Mayra Flores-Tolentino, Enrique Ortiz, José Luis Villaseñor

“…The model best supported by the observed data and balanced in the percentage of omission and commission errors was our model, and the model most like ours in terms of the predicted area, was the one proposed by INEGI (2003). …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Diabetes Mellitus Detection System In Human Body Through Urine Media Using Naïve Bayes Method by Yuda Kasmien Adha, Tati Erlina

“…The system is made using the NaÏve Bayes algorithm to be able to classify urine that has been tested Benedict including into non-diabetes or diabetes, the system is also made using multiple linear regression algorithms to be able to predict the sugar content contained in urine. …”
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Influence of the media used in the operation of aircraft on the durability of airport cement surfaces by Piotr Nita, Małgorzata Linek

“…In terms of mass, dynamic and temperature interactions, these are measurable phenomena that can be determined and predicted using appropriate methods and algorithms. …”
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Stellar ejection velocities from the binary supernova scenario: A comparison across population synthesis codes by Tom Wagg, David D. Hendriks, Mathieu Renzo, Katelyn Breivik

“…We present a comparison of the predicted ejection velocities of disrupted binary companions in three different population synthesis codes: COSMIC, COMPAS, and binary_c, which use two independent algorithms for the treatment of natal kicks. …”
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DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States by Parnian Ghaneei, Hamid Moradkhani

“…The dataset can be used as a new benchmark for future studies aimed at improving hydrological predictions and managing water resources more effectively.…”
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Reinforcement Learning Applications in Cyber Security: A Review by Murat Gök, Emine Cengiz

“…Traditional computer algorithms may be insufficient against these attacks in the virtual world. …”
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Global decline in net primary production underestimated by climate models by Thomas J. Ryan-Keogh, Alessandro Tagliabue, Sandy J. Thomalla

“…Here we use contemporary remote sensing net primary production trends (1998–2023) from six remote sensing algorithms to discriminate amongst fifteen divergent model projections. …”
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Bistability and oscillations in the Huang-Ferrell model of MAPK signaling. by Liang Qiao, Robert B Nachbar, Ioannis G Kevrekidis, Stanislav Y Shvartsman

“…As a result, these models try to predict the dynamics of systems with tens or even hundreds of free parameters. …”
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Integrative multi-omics module network inference with Lemon-Tree. by Eric Bonnet, Laurence Calzone, Tom Michoel

“…Novel candidate driver genes predicted by Lemon-Tree were validated using tumor pathway and survival analyses. …”
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Behavioral discrimination and time-series phenotyping of birdsong performance. by Avishek Paul, Helen McLendon, Veronica Rally, Jon T Sakata, Sarah C Woolley

“…Moreover, the algorithm accurately predicted female performance on individual motif exemplars. …”
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