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

“…Differences in the amplification efficiencies between type 1, 2, and 3 products may explain part of the error in the gene copy number determinations using real-time PCR comparative gene quantifications. …”
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Parameter estimation and model selection in computational biology. by Gabriele Lillacci, Mustafa Khammash

“…The fitting process is usually based on experimental time course measurements of observables, which are used to assign parameter values that minimize some measure of the error between these measurements and the corresponding model prediction. …”
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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

“…Parameters such as the PAPR, bit error rate (BER), power spectral density (PSD), and power performance of the OTFS were studied and analyzed for the conventional and PTS + CS approaches. …”
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Outspacing Planar Phased Arrays for Wireless Communications Infrastructure by B. G. M. van Ark, A. B. Smolders

“…The outspacing planar array is tested using an over-the-air (OTA) test concept applied in an anechoic test facility. An error vector magnitude below 3%, when transmitting a QAM16 signal, is realized in the main beam of the antenna without the use of calibration. …”
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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

“…Experimental results demonstrate that our method outperformed existing approaches in the aspects of registration recall, rotation error, and algorithm robustness under low-overlap conditions. …”
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Information Criteria for Signal Extraction Using Singular Spectrum Analysis: White and Red Noise by Nina Golyandina, Nikita Zvonarev

“…The criteria are compared with each other and with the optimal rank choice that minimizes the signal estimation error. The results of numerical experiments demonstrate that for low-rank signals and noise levels within a region of stable rank detection, the proposed modifications yield accurate estimates of the optimal rank for both white and red noise cases. …”
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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 evaluation phase calculates metrics such as prediction error, accuracy, and stability, and also examines the model’s training time, inference time, number of parameters, and computational complexity to assess its efficiency and scalability. …”
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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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NetCodeAIoT: Enhancing Augmented Intelligence of Things for Vehicle Systems in 5G Networks by Okuwudili Mathew Ugochukwu, Renata Lopes Rosa, Muhammad Saadi, Demostenes Z. Rodriguez, Frederico G. Guimaraes

“…NetCodeAIoT dynamically adjusts the sparsity level of the decoding matrix, implements unequal error protection network coding, and enables instantaneous decoding of data. …”
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A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels by Ao Chen, Jialu Yu, Junbo Zhang, Gangyi Yu, Rong Wan

“…Extracting the area of fisheries facilities under the influence of clouds and vessels can provide better extraction accuracy and lower omission error. The MROIC model proposed in this study demonstrates high extraction accuracy and strong applicability, offering technical support for government planning in fishery facility areas and aiding in the risk assessment and management efficiency of fishery facility insurance.…”
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Initial findings creating a temperature prediction model using vibroacoustic signals originating from tissue needle interactions by Michael Friebe, Witold Serwatka, Katharina Steeg, Gabriele Krombach, Hamza Oran, Oğuzhan Berke Özdil, Katarzyna Heryan, Axel Boese, Alfredo Illanes, Dominik Rzepka

“…Results demonstrated that the audio signals contained distinct temperature-dependent features, enabling temperature prediction with a root mean squared error of approximately 3 °C. We present these initial laboratory findings, highlighting significant potential for refinement. …”
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Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems by William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia Gonzalez

“…The result of the mean absolute percentage error equal to 0.0148 shows that the wavelet CNN‐LSTM is a promising machine‐learning methodology for electricity generation forecasting. …”
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Efficiently constructing complete genomes with CycloneSEQ to fill gaps in bacterial draft assemblies by Hewei Liang, Yuanqiang Zou, Mengmeng Wang, Tongyuan Hu, Haoyu Wang, Wenxin He, Yanmei Ju, Ruijin Guo, Junyi Chen, Fei Guo, Tao Zeng, Yuliang Dong, Yuning Zhang, Bo Wang, Chuanyu Liu, Xin Jin, Wenwei Zhang, Xun Xu, Liang Xiao

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Quad-Rotor Helicopter Autonomous Navigation Based on Vanishing Point Algorithm by Jialiang Wang, Hai Zhao, Yuanguo Bi, Xingchi Chen, Ruofan Zeng, Shiliang Shao

“…They are employed in many applications, from military operations to civilian tasks. …”
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A Novel in-Band OSNR Measurement Method Based on Normalized Autocorrelation Function by Zhuili Huang, Jifang Qiu, Deming Kong, Ye Tian, Yan Li, Hongxiang Guo, Xiaobin Hong, Jian Wu

“…Experimental results indicate that OSNR of four-channel 32-Gbaud pulse-duration modulation-QPSK wavelength-division-multiplexing signals is precisely measured with applicability to flexible channel spacing. The measurement range is 37&#x00A0;dB from &#x2212;15 to 22&#x00A0;dB with error less than <inline-formula><tex-math notation="LaTeX">$ \pm 0.5$</tex-math></inline-formula>&#x00A0;dB. …”
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A lightweight speaker verification approach for autonomous vehicles by Yousef Salah, Omar Shalash, Esraa Khatab

“…Speaker verification has various practical applications, such as verifying customer identities in call centers, enabling contactless facility access, and supporting some medical applications. …”
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