Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures by Saira Baharuddin, Cédric M. John

“…Our results also stress the importance of a diversified data set to reduce bias and enhance the applicability of the trained models to other wells and fields. …”
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Mathematical modeling of blood flow with copper and graphene nanoparticles in inclined stenotic arteries by Pooriya Majidi Zar, Zahra Poolaei Moziraji, Ali Ahmadi Azar

“…These insights advance applications in targeted drug delivery, bio–nanofluid mechanics, and therapeutic device design. …”
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Harnessing machine learning for high-entropy alloy catalysis: a focus on adsorption energy prediction by Qi Wang, Yonggang Yao

“…Abstract High-entropy alloys (HEAs) have emerged as promising candidates for catalyst applications due to their inherent compositional, structural, and site-level diversities, which enable highly tunable catalytic properties. …”
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Effects of Polypropylene Waste Addition as Coarse Aggregates in Concrete: Experimental Characterization and Statistical Analysis by D. C. Naveen, K. Naresh, B. S. Keerthi Gowda, Madhu Sudana Reddy G, C. Durga Prasad, Ragavanantham Shanmugam

“…Therefore, 20% PP-embedded concrete specimens can be used for primary load-bearing applications to utilize plastic waste and reduce the cost of the component.…”
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Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment by Aravam Babu, A. Bagubali

“…Extensive experiments on benchmark datasets confirm that the proposed method achieves higher anomaly detection efficiency with a lower error rate than existing methods. The results establish this framework as a scalable, privacy-preserving, and computationally efficient solution for anomaly detection in IoT edge environments, addressing critical limitations in security, latency, and data privacy in real-world applications.…”
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A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

“…When applied to two real-world datasets—one from the medical field and the other from the economic sector—the ULE distribution consistently outperforms existing unit interval models, showcasing lower error rates and enhanced flexibility in tail behavior. …”
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Enhanced CO₂ Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally

“…Initially, the TFT model achieved a root mean squared error (RMSE) of 0.082723421 in the baseline scenario. …”
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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

“…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …”
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From Phase Space to Non-Equilibrium Dynamics: Exploring Liouville’s Theorem and Its Implications by Mario J. Pinheiro

“…This framework bridges Hamiltonian mechanics and thermodynamics, with applications in beam stacking, stochastic cooling, and quantum thermalization. …”
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Potential influence of the first PCR cycles in real-time comparative gene quantifications by Hege Karin Nogva, Knut Rudi

“…Future applications of real-time PCR quantifications should account for the effect of the first few PCR cycles on the conclusions drawn.…”
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Parameter estimation and model selection in computational biology. by Gabriele Lillacci, Mustafa Khammash

“…First, we use a variation of the Kalman filter that is particularly well suited to biological applications to obtain a first guess for the unknown parameters. …”
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A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method by Arun Kumar, Aziz Nanthaamornphong

“…The advanced waveform in the physical layer should be designed considering the requirements and its deployment in high-speed applications, such as trains, vehicles, and aircraft. …”
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Outspacing Planar Phased Arrays for Wireless Communications Infrastructure by B. G. M. van Ark, A. B. Smolders

“…The presented outspacing concept with an element spacing of λ0/2 appears to be very suited for applications that require a limited scan range, typically smaller than ±20°. …”
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Ferrofluid droplet generation on a zero-thickness nozzle by a magnetic field using a wedge-shaped functional surface. by Amirhossein Favakeh, Mohamad Ali Bijarchi, Mahbod Mohammadrashidi, Mohammad Yaghoobi, Mohammad Behshad Shafii

“…The derived empirical factor offers precise droplet diameter predictions, with an average error of 3.9%. Finally, inspired by cactus structures, we demonstrate parallelization of the flat nozzles, highlighting the potential for high-throughput droplet generation in digital microfluidic applications.…”
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Robust Low-Overlap Point Cloud Registration via Displacement-Corrected Geometric Consistency for Enhanced 3D Sensing by Xin Wang, Qingguang Li

“…These advances establish a new paradigm for robust 3D sensing in real-world applications where partial sensor data is prevalent.…”
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Information Criteria for Signal Extraction Using Singular Spectrum Analysis: White and Red Noise by Nina Golyandina, Nikita Zvonarev

“…Conventional information criteria are not directly applicable in this context. The paper examines both subspace-based and information criteria, proposing modifications suited to the Hankel structure of trajectory matrices employed in singular spectrum analysis. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…The model holds promising applications in the field of energy supply forecasting and provides robust support for the stable operation and optimized economic management of smart grids. …”
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Performance evaluation on extended neural network localization algorithm on 5 g new radio technology by Deebalakshmi R, S Markkandan, Vinodh Kumar Arjunan

“…It obtains an AoA mean of 0.08 radians (SD = 0.014 rad), a TDoA mean of 0.020 s (SD = 0.003 s), and a FoA mean of 0.49 Hz (SD = 0.09 Hz). Its Mean Squared Error (MSE) of 1.06e6 and Signal-to-Noise Ratio (SNR) of 11.7 dB show that it attains better performance than existing ones. …”
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Exploring the standardization of human nasal antibody measurements by Xuanxuan Zhang, Yulong Fu, Si Chen, Guanxing Liu, Ying Wang, Qian He, Qian Wang, Na Li, Zhongfang Wang, Ling Chen, Junzhi Wang, Zhenglun Liang, Miao Xu, Qunying Mao

“…Herein, we first proved that the sera-derived standard was not applicable for assessing nasal antibodies. Using a non-homologous standard as a calibrator introduced systematic error up to 10 times, which did not benefit the understanding of mucosal antibody response. …”
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Zero‐shot insect detection via weak language supervision by Benjamin Feuer, Ameya Joshi, Minsu Cho, Shivani Chiranjeevi, Zi Kang Deng, Aditya Balu, Asheesh K. Singh, Soumik Sarkar, Nirav Merchant, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde

“…However, traditional supervised learning methods require labeled data, and manual annotation of these raw datasets with useful labels (such as bounding boxes or segmentation masks) can be extremely laborious, expensive, and error‐prone. In this paper, we demonstrate the power of zero‐shot computer vision methods—a new family of approaches that require (almost) no manual supervision—for plant phenomics applications. …”
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