Integrating Multimodal Deep Learning with Multipoint Statistics for 3D Crustal Modeling: A Case Study of the South China Sea by Hengguang Liu, Shaohong Xia, Chaoyan Fan, Changrong Zhang

“…The integration of diverse datasets significantly enhances the model’s accuracy, reducing errors and improving the alignment with known geological information. …”
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Inverse design of photonic surfaces via multi fidelity ensemble framework and femtosecond laser processing by Luka Grbčić, Minok Park, Mahmoud Elzouka, Ravi Prasher, Juliane Müller, Costas P. Grigoropoulos, Sean D. Lubner, Vassilia Zorba, Wibe Albert de Jong

“…The combined MF ensemble can generate multiple disparate sets of laser-processing parameters that can each produce the same target input spectral emissivity with high accuracy (root mean squared errors < 2%). SHapley Additive exPlanations analysis shows transparent model interpretability of the complex relationship between laser parameters and spectral emissivity. …”
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An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data by Jiaxuan Jia, Lei Zhang, Kai Yin, Uwe Sörgel

“…Compared to other methods, our method demonstrates a notable increase in the precisely matched rate across different plot types, with an average increase of 25% in broadleaf plots, 18% in coniferous plots, 23% in mixed plots, 15% in high-density plots, and 32% in medium-density plots, without increasing over- and under- segmentation errors. Our method demonstrates potential applicability across various forest conditions, facilitating future large-scale ITCD tasks and precision forestry applications.…”
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Localization of Sound Sources in Underground Parking Lots by Dong Myung Lee, Moo Kyung Jung, Chang Yong Choi, Hongchi Shi

“…The proposed compensation algorithm reduces the error of sound sources by 72.4% on average. The LO C SS + LC A LSM algorithm can be applied to the localization of sound sources system for underground parking lots as well as to various sound sources based applications due to its low cost.…”
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LoRa for multihop communication in internet of underground things under fading environments by Irfana Ilyas Jameela Manzil, Ruhul Amin Khalil, Nasir Saeed

“…Mathematical expressions for the bit error rate (BER) are derived under both additive white Gaussian noise (AWGN) and Rayleigh fading, including multi-hop networks with decode-and-forward relays. …”
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A Novel Sea Surface Temperature Prediction Model Using DBN-SVR and Spatiotemporal Secondary Calibration by Yibo Liu, Zichen Zhao, Zhe Zhang, Yi Yang

“…This study proposes a novel prediction model that achieves a 60-day forecast with a root mean square error (RMSE) consistently below 0.9 °C. The model combines the nonlinear feature extraction of a deep belief network (DBN) with the high-precision regression of support vector regression (SVR), enhanced by spatiotemporal secondary calibration (SSC) to better capture SST variation patterns. …”
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Optimization of Sampling Cell Size for Fingerprint Positioning by Wei Liu, Yongle Chen, Yongping Xiong, Limin Sun, Hongsong Zhu

“…We adopted the Gaussian process model to estimate the received signal strength based on some samples and used the inherent maximum Euclidean error of fingerprint vectors to compute the optimal cell size. …”
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Failure pressure prediction of an API 5L X120 pipe elbow with longitudinally aligned interacting corrosion defects subjected to internal pressure by Sangetha Devi Vijaya Kumar, Suria Devi Vijaya Kumar, Saravanan Karuppanan, Mark Ovinis, Veeradasan Perumal

“…High accuracy with R2 values of 0.99 and mean squared error of 0.000319 was obtained by developing ANN models for defects found at the intrados, crown, and extrados. …”
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nf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework. by Gisela Gabernet, Susanna Marquez, Robert Bjornson, Alexander Peltzer, Hailong Meng, Edel Aron, Noah Y Lee, Cole G Jensen, David Ladd, Mark Polster, Friederike Hanssen, Simon Heumos, nf-core community, Gur Yaari, Markus C Kowarik, Sven Nahnsen, Steven H Kleinstein

“…We assessed the performance of nf-core/airrflow on simulated sequencing data with sequencing errors and show example results with real datasets. …”
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Acoustic Tomography of the Atmosphere: A Large-Eddy Simulation Sensitivity Study by Emina Maric, Bumseok Lee, Regis Thedin, Eliot Quon, Nicholas Hamilton

“…The TDSI algorithm successfully reconstructed large-scale velocity and temperature fluctuations with root mean square errors (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>M</mi><mi>S</mi><mi>E</mi><mi mathvariant="normal">s</mi></mrow></semantics></math></inline-formula>) below 0.35 m/s and 0.12 K, respectively. …”
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Wave propagation over a submerged bar: benchmarking of VoF, sigma transformation, and SPH numerical models against physical wave flume tests by Jacob Andersen, Mads Røge Eldrup, Francesco Ferri, Gael Verao Fernandez

“…Accuracy of the numerical models is assessed from surface elevation time series, evaluation metrics (averaged errors on surface elevations, amplitudes, phases, and wave set-up), and spectral analyses to calculate the amplitude and phase contents of primary and higher-order components along the wave flume. …”
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Electroforming-based micro-texturing: Advancements for surface engineering in EDM by Mariana Hernández-Pérez, Pedro M. Hernández-Castellano, Juan M. Vázquez-Martínez, María D. Marrero-Alemán

“…Post-processing, particularly thorough cleaning using advanced techniques such as ultrasonic cleaning, proved crucial in minimizing dimensional errors and improving final accuracy. These findings provide a solid foundation for the development of future research aimed at optimizing the accuracy of electrode texturing for EDM applications, addressing a critical need in the field of functional surface microfabrication.…”
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Quality indicators for safe medication preparation and administration: a systematic review. by Marian Smeulers, Lotte Verweij, Jolanda M Maaskant, Monica de Boer, C T Paul Krediet, Els J M Nieveen van Dijkum, Hester Vermeulen

“…<h4>Background</h4>One-third of all medication errors causing harm to hospitalized patients occur in the medication preparation and administration phase, which is predominantly a nursing activity. …”
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Two-Port Noise Suppression in Dual-Polarization Interferometric Fiber-Optic Gyroscope by Pei Li, Yulin Li, Fangyuan Chen, Chao Peng, Zhengbin Li

“…Since the polarization non-reciprocity errors are canceled out through optical compensation in dual-polarization interferometric fiber-optic gyroscopes (IFOGs), two ports, namely, the reciprocal and nonreciprocal ports, are both feasible sensing output. …”
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Efficient and accurate non-invasive tumor monitoring and diagnosis by interpretable deep learning by Youpeng Yang, Jiaying Liu, Yutong He, Yingjie Yang, Tao Jiang, Jia Tang, Xin Li

“…In simulations, Oncoder reduced prediction errors of tumor signals in blood by at least 30% compared to existing methods and showed the highest prediction correlation, indicating more accurate tumor progression monitoring. …”
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An Efficient and Automated Classification System for Rocks Based on Visually Explainable Deep Learning by Shan Lin, Quanke Hu, Hongwei Guo, Miao Dong, Kaiyang Zhao, Hong Zheng, Zhijun Liu

“…Rock classification is critical in geological research and geoscience applications. Traditional methods rely heavily on manual expertise, which makes them susceptible to human errors due to their reliance on individual skills and experience. …”
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2D and 3D Classification Systems for Adolescent Idiopathic Scoliosis: Clinical Implications and Technological Advances by Wenqing Wei, Liang Cheng, Yating Dong, Tianyuan Zhang, Yaolong Deng, Jiale Gong, Fang Xie, Junlin Yang

“…Additionally, studies show that computer‐assisted technologies, artificial intelligence can significantly improve the accuracy and consistency of classification systems, reducing human errors. The paper also explores the future directions of classification system development, emphasizing the potential of combining 2D and 3D technologies and the impact of these advancements on personalized scoliosis treatment.…”
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An Effective AFNIS-MPPT-Based Method for Optimizing Hybrid Energy Harvesting Systems by Muhammad Saqib, Ghulam Sarwar Kaloi, Mehr Gul, Muhammad Shahzad Nazir, Mohsin Ali Koondhar, Lutfi Albasha, Faisal Alsaif

“…By employing membership functions and adaptive algorithms, ANFIS effectively reduces tracking errors and ensures the maintenance of the Maximum Power Point (MPP) under changing environmental conditions. …”
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Solving a class of distributed-order time fractional wave-diffusion differential equations using the generalized fractional-order Bernoulli wavelets by Ali AbuGneam, Somayeh Nemati, Afshin Babaei

“…Utilizing the Gauss–Legendre quadrature formula and a strategically chosen set of collocation points, along with approximations for the unknown function and its derivatives, we transform the problem into a system of algebraic equations. An error analysis is then conducted for the approximation of a bivariate function using fractional-order Bernoulli wavelets. …”
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Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells by Mohamed Issa, Mohamed Abd Elaziz, Sameh I. Selem

“…The effectiveness of HGS-MPA was validated on three commercial PEMFC datasets: 250-W stack, BCS 500-W, and NedStack PS6, using the Sum Squared Error (SSE) as the performance metric. Experimental results highlight that HGS-MPA achieves minimum fitness values of 0.33770, 1.31620, and 0.01174 for the respective datasets, outperforming other state-of-the-art algorithms. …”
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