An Adaptive Learning Time Series Forecasting Model Based on Decoder Framework by Jianlong Hao, Qiwei Sun

“…Experiments carried out on multiple datasets indicate that the time series adaptive learning model based on the decoder achieved an overall reduction of 2.6% in MSE (Mean Squared Error) loss and 1.8% in MAE (Mean Absolute Error) loss when compared with the most advanced Transformer-based time series forecasting model.…”
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Dynamic Dual-Phase Forecasting Model for New Product Demand Using Machine Learning and Statistical Control by Chien-Chih Wang

“…The results indicate that DDPFF consistently outperformed conventional ARIMA and analogous forecasting methodologies, yielding an average reduction of 35.7% in mean absolute error and a 41.8% enhancement in residual stability across all examined cases. …”
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Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm by G. Ayappan, S. Anila

“…The proposed approach demonstrates superior error reduction, highlighting its potential for effective COVID-19 detection.…”
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Speech Delay Assistive Device for Speech-to-Text Transcription Based on Machine Learning by Maria Kristina C. Rodriguez, Gheciel Mayce M. Santos, Jennifer C. Dela Cruz, Jmi C. Dela Cruz

“…The device performs noise reduction and digital transcription. Its performance was validated by speech language pathologists (SLPs). …”
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Do delayed responses introduce bias in ecological momentary assessment? Evidence from comparisons between self-reported and objective physical activity by Stefan Schneider, Stefan Schneider, Stefan Schneider, Meynard J. Toledo, Doerte U. Junghaenel, Doerte U. Junghaenel, Doerte U. Junghaenel, Joshua M. Smyth, Pey-Jiuan Lee, Sarah Goldstein, Olivia Pomeroy, Arthur A. Stone, Arthur A. Stone

“…There was no significant evidence that response delays systematically biased the levels of EMA reported activities, although delayed responses were associated with significantly more random errors in EMA reports (with small effect sizes).DiscussionThe results suggest that respondents self-select the moments for answering EMA surveys based on their current activity levels, but brief response delays do not translate into marked reductions in the quality of EMA data.…”
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A Study on Crack Depth Measurement in Steel Structures Using Image-Based Intensity Differences by Ju-Yeong Jung, Hyuk-Jin Yoon, Hyun-Woo Cho

“…In addition, the validation of the intensity reduction equation obtained by the inductive method was verified, and it was confirmed that the crack depth can be predicted by the intensity value of the crack.…”
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Throughput Performance Analysis of Asynchronous Optical CDMA Networks With Channel Load Sensing Protocol by Maw-Yang Liu, Ting-Lin Wang, Shu-Ming Tseng

“…Moreover, we employ optical hard limiters and error correction codes to mitigate the physical channel impairments. …”
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Parameter Estimation of a Partially Observed Hypoelliptic Stochastic Linear System by Nilton O. B. Ávido, Paula Milheiro-Oliveira

“…The simulation results indicate that, as the variance of the observation error vanishes, the proposed approach remains reasonably close to the output of the EM algorithm, with the advantage of a significant reduction in computing time.…”
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Increasing the secure key rate of a quantum-key-distribution system via synchronized detector dead times by Maximilian Mengler, Maximilian Tippmann, Thomas Walther

“…In particular, systems using avalanche photodiodes may incur a reduction in the achievable secret key rate. We demonstrate a detector gating scheme tuned to mitigate these effects but keep the detectors in an otherwise free-running mode. …”
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Centralized daily drug management in clinical trial institutions and specific implementation plans by Yu Tang, Yu Tang, Xiaolong Fang

“…This study explores the implementation of centralized pharmacy management in clinical drug trials, addressing the limitations of decentralized approaches.MethodsIt involves the establishment of a centralized drug warehouse with unified processes and digital systems, primarily relying on the Cold Chain Cloud Platform, Service Cloud Platform, and Enterprise WeChat Platform, to enhance precision and efficiency.ResultsIt indicated a significant reduction in error rates and improved adherence to clinical trial protocols. …”
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A reduced-complexity compressed sensing channel estimation for underwater acoustic channel by Xuan YU, Xuan GENG

“…Aiming at the sparse characteristics of underwater acoustic channels for shallow seas, a reduced-complexity look-ahead backtracking orthogonal matching pursuit (RC-LABOMP) channel estimation algorithm was proposed.Firstly, two types of support sets of orthogonal matching pursuit and subspace pursuit channel estimation algorithms were calculated, and then prior information based on the intersection and union of the two support sets were preprocessed.At last, the preprocessed prior information was used to complete look-ahead backtracking orthogonal matching pursuit channel estimation.The preprocessed prior information leads to the decrease of the iteration number of original LABOMP, and reduction of the atom index range, thus the proposed algorithm can reduce the computational complexity of original LABOMP significantly.In addition, combining the proposed algorithm with the underwater acoustic Turbo equalization system is more suitable for underwater acoustic communication systems.Simulation results show that the proposed algorithm demonstrates high estimation accuracy and low bit error rate performance under both conditions of random channels and underwater acoustic channels.It also reduces the computational complexity of the LABOMP algorithm.Therefore, it is an effective method for shallow seas underwater acoustic channels estimation algorithm.…”
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A reduced-complexity compressed sensing channel estimation for underwater acoustic channel by Xuan YU, Xuan GENG

“…Aiming at the sparse characteristics of underwater acoustic channels for shallow seas, a reduced-complexity look-ahead backtracking orthogonal matching pursuit (RC-LABOMP) channel estimation algorithm was proposed.Firstly, two types of support sets of orthogonal matching pursuit and subspace pursuit channel estimation algorithms were calculated, and then prior information based on the intersection and union of the two support sets were preprocessed.At last, the preprocessed prior information was used to complete look-ahead backtracking orthogonal matching pursuit channel estimation.The preprocessed prior information leads to the decrease of the iteration number of original LABOMP, and reduction of the atom index range, thus the proposed algorithm can reduce the computational complexity of original LABOMP significantly.In addition, combining the proposed algorithm with the underwater acoustic Turbo equalization system is more suitable for underwater acoustic communication systems.Simulation results show that the proposed algorithm demonstrates high estimation accuracy and low bit error rate performance under both conditions of random channels and underwater acoustic channels.It also reduces the computational complexity of the LABOMP algorithm.Therefore, it is an effective method for shallow seas underwater acoustic channels estimation algorithm.…”
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Speaker Model Clustering to Construct Background Models for Speaker Verification by Gökay DİŞKEN, Zekeriya TÜFEKCİ, Ulus ÇEVİK

“…The three-cluster model achieved the best performance with a 12.4% relative EER reduction in average, compared to the $i$-vector method. …”
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Engineering biology and automation–Replicability as a design principle by Matthieu Bultelle, Alexis Casas, Richard Kitney

“…There cannot be successful automation without effective error control. Design principles for an IT infrastructure that supports replicability are presented. …”
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Polynomial estimates of measurand parameters for data from bimodal mixtures of exponential distributions by S.V. Zabolotnii, V.Yu. Kucheruk, Z.L. Warsza, А.K. Khassenov

“… A non-conventional approach to finding estimates of the result of multiple measurements for a random error model in the form of bimodal mixtures of exponential distributions is proposed. …”
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A Low-Complexity MIMO-OFDM Transmission Scheme for Optical Wireless Communications by Wei-Wen Hu

“…Additionally, the proposed scheme outperforms well-known unipolar MIMO-OFDM OWC systems operating at the same spectral efficiency in terms of the bit error rate.…”
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The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation by Haichuan Hu, Chuanhai Qian, Shibo Gao

“…The GF-L method reduced the root mean square error by 5.1% on average compared to the GF method, while the GF-M method achieved a 9.2% reduction. …”
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Hystimator: DRT‐based hysteresis modelling for accurate SoC estimation in LFP battery cells by Guillaume Thenaisie, Claudio Brivio

“…The validation results show a significant reduction in the Root Mean Square Error (RMSE) during real‐world laboratory testing. …”
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The results of studies of the rigidity of stabilizers and the roll angle of the truck by Tint Naing Win, V.M. Alakin

“…As a result of the research, it was found body roll reduction using an electromagnetic stabilization system for curvilinear motion. …”
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EDUCATION, CASTE AND OCCUPATIONAL DIFFERENTIALS IN FERTILITY IN INDIA by Kalyan SOM, Ramesh P. MISHRA

“…Women who have passed above secondary school of education give a prominent impact on fertility reduction in comparison to illiterate, primary and middle school passed. …”
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