Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks by Alessandro Franco, Cecilia Pagliantini

“…—for the years 2022 and 2023, we developed and tested an LSTM model capable of predicting national hourly demand with Root Mean Squared Error (RMSE) consistently below 2%. The model’s forecasts show strong agreement with official data provided by Terna, accurately capturing demand peaks and seasonal trends over both short- and medium-term horizons. …”
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Evaluating energy efficiency of Internet of Things software architecture based on reusable software components by Doohwan Kim, Jae-Young Choi, Jang-Eui Hong

“…By performing an experiment, we could verify that our proposing method shows maximum 6.83% of error rate against code-based energy simulation. …”
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Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation by G. V. S. Sudhamsh, S. Girisha, R. Rashmi

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Camouflage Target Detection Method with Mutual Compensation of Local-Global Features by HE Wenhao, GE Haibo

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Unbounded quantum advantage in communication with minimal input scaling by Sumit Rout, Nitica Sakharwade, Some Sankar Bhattacharya, Ravishankar Ramanathan, Paweł Horodecki

“…Considering two variants as tasks: (1) distributed computation of relation and (2) relation reconstruction, we study the one-way zero-error communication complexity of a relation induced by a distributed clique labeling problem for orthogonality graphs. …”
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Drug pricing and reimbursement information management: processes and decision making in the global economy by Dimitrios Tsourougiannis

“…The system was labour intensive, slow to update, and prone to error. An innovative web-based pricing information management system was developed to address the shortcomings of the previous system. …”
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Leveraging the Global Innovation Index to Boost Manufacturing Efficiency in Algeria: An ARDL Model Study (2011-2022) by Souleyman Beghni, Meriyam Gourari

“…Conversely, innovation outputs, including knowledge and technology outputs and creative outputs, exhibit a weaker and statistically insignificant negative correlation with manufacturing growth. The error correction term is highly significant, indicating a rapid adjustment towards long-run equilibrium, with 47.2% of deviations corrected each quarter. …”
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Acquisition of Current and Vibration Data for Rewound Burnt Three-Phase Induction Motor by A.I. Abdullateef, O.S. Fagbolagun, M.F. Sanusi

“…Also, for the inter-turn short circuit in phase A, the average value of the currents in the phases are 12.1A, 3.1A and 2.7A respectively. The Mean Square Error value of the acquired and measured data is 0.00002. …”
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ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment by Guangyu Sun

“…Traditional speech recognition systems, while successful in general applications often struggle in medical contexts where the cognitive state of the listener plays a significant role. …”
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Research on improving the ranging accuracy of ships with stereo vision through Kalman filter optimization. by Zhongbo Peng, Jie Han, Liang Tong, Lumeng Wang, Dan Liu, Shijie Sun

“…Within a distance of 20m from the ship target, the error can be controlled within 3%, showcasing the applicability of the method proposed in this paper in complex inland waterway environments contributes to the enhancement of ships' environmental perception capabilities and navigation safety, holding positive implications for the development of intelligent vessels.…”
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Superregular Matrices over Finite Fields by Paulo Almeida, Miguel Beltrá, Diego Napp

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Flooding is Not Like Filling a Bath by Brett F. Sanders, Oliver E. J. Wing, Paul D. Bates

“…However, many high‐profile research studies reporting risks at national and global scales rely upon a significant oversimplification of how floods behave—as a level pool—an approach known as bathtub modeling that is avoided in flood management practice due to known biases (e.g., >200% error in flood area) compared to physics‐based modeling. …”
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Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network by Xiaofei Lu, Shouwang Li

“…However, existing 3D modeling methods exhibit high reconstruction error precision, limiting their practicality in many domains, particularly environmental design. …”
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Numerical studies on Pulse tube refrigerator and the effect of changing the load of the regenerator on temperatures by Sarah Taher Y.Al-Lami, Ali A . F Al- Hamadani

“…The best example with a difference in heat load was at 3 W/m2, reaching 108K, Results revealed a 5% error rate temperature decline at the pulse tube. …”
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Kidney Segmentation with LinkNetB7 by Cihan Akyel

“…The main advantages of these methods are that they do not involve human error in the diagnostic process and have almost no cost. …”
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Acquisition of Current and Vibration Data for Rewound Burnt Three-Phase Induction Motor by A.I. Abdullateef, O.S. Fagbolagun, M.F. Sanusi

“…Also, for the inter-turn short circuit in phase A, the average value of the currents in the phases are 12.1A, 3.1A and 2.7A respectively. The Mean Square Error value of the acquired and measured data is 0.00002. …”
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Dynamic Node Management for Energy Optimization in Cognitive Radio Systems by Tangsen Huang, Haibing Yin, Xiangdong Yin, Huijun Xiao

“…The objective is to maximize energy efficiency subject to a constraint on the error probability, ensuring the highest possible energy efficiency while satisfying the required sensing performance criteria. …”
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FBMC and UFMC Multi-Waveform Design for 6G Wireless Networks by Zhraa Zuheir Yahya, Dia M. Ali, Younis Abbosh

“…The suggested approach has a Power Spectral Density (PSD) with minimal out-of-band radiation (OOBR) and a reduced guard band to 6 subcarriers between the two waveforms without causing interference. The Bit Error Rates (BER) performance compared among different orders of Quadrature Amplitude Modulation (QAM). …”
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Remote Irrigation Control Based on LoRa Technology and Fuzzy PID Algorithm by Yuliang Li

“…In irrigation mode, the irrigation time of the orchard had an error of less than 0.7% compared to the system calculation, and the minimum irrigation time was 10.06 seconds. …”
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Hybrid Spectrum Sensing Using Neural Network–Based MF and ED for Enhanced Detection in Rayleigh Channel by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…Furthermore, the capability of the NN to mitigate noise and interference results in enhanced bit error rate (BER) performance, ensuring reliable communication. …”
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