Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

“…It is clinically time-consuming and error-prone to identify seizure activities by visually scanning EEG signals. …”
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Climatic characteristics of snow water equivalent in the Perm Krai area by N. A. Kalinin, A. D. Kryuchkov, I. A. Sidorov, R. K. Abdullin, A. N. Shikhov

“…In general, the ERA5-Land reanalysis reproduces SWE in the Perm region satisfactorily. Mean relative error for SWE in March does not exceed 15 %. The average correlation coefficient between the reanalysis data and the same from the observations is 0.72 for non-forest locations and 0.83 for locations in forest. …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…In particular, accuracy improved by 5% using MDBM, the false positive rate reduced by 15% with MVAE, a more than 10% improvement in the F1-score with the attentive fusion network, a 20% reduction in reconstruction error with Deep Convolutional Autoencoder (DCA), detection precision improved by 12% using Adversarially Learned Inference (ALI) and a gain of 8% in Area Under the Curve (AUC) using Deep InfoMax (DIM) operations.…”
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Impurity rates detection for pepper harvesting based on YOLOv8n-Seg-ASB and random forest by Lijian Lu, Jin Lei, Chenming Cheng, Shiguo Wang, Chengfu Wang, Xinyan Qin

“…The mean error in impurity rates between the RF monitoring model and manual count was 6.14 %, with an average detection time of 1.43 seconds. …”
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Wavefront Detection and Event Segmentation Method for Partial Discharge Signal Analysis by Francisco de A. Oliveira Nascimento, Rodrigo De A. Coelho, George V. R. Xavier, Pedro D. Alvim, Almir C. Dos Santos Junior, Hugerles S. Silva

“…Experimental results showed substantial improvements in signal-to-noise ratio (SNR), high cross-correlation between the original and denoised signals, and a significant reduction in normalized mean squared error, confirming the robustness of the method under low-SNR conditions.…”
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LightHand99K: A Synthetic Dataset for Hand Pose Estimation With Wrist-Worn Cameras by Jeongho Lee, Changho Kim, Jaeyun Kim, Seon Ho Kim, Younggeun Choi, Sang-Il Choi

“…Incorporating three data augmentation techniques, LightHand99K demonstrated a 36% increase in area under the curve (AUC) and a 6.2-mm reduction in average endpoint error (EPE) compared to existing datasets. …”
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Missing value interpolation algorithm for long-term temperature observation data based on data augmentation multiple interpolation method by Xiaolin Liu, Bo Wang, Shuanglong Jin, Zongpeng Song

“…The experimental results show that the mean square error of the interpolated data is below 0.2, the coefficient of determination is between 0.91 and 0.95, which is closer to 1, and the interpolation time is <5 s. …”
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Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines by Xiaoming Yu, Jun Wang, Ke Zhang, Zhijun Chen, Ming Tong, Sibo Sun, Jiapeng Shen, Li Zhang, Chuyang Wang

“…Experimental validation focusing on capacitor voltage, current, and temperature parameters of UPFC submodules under a 50% missing data scenario demonstrates that the proposed method achieves an 18.7% average error reduction and approximately 30% computational efficiency improvement compared to single imputation and traditional multiple imputation approaches, significantly outperforming neural network models. …”
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Cancer care to the population of Russia in 2022 by A. O. Shakhzadova, V. V. Starinsky, I. V. Lisichnikova

“…Сancer care in the Russian Federation in 2022 was provided at the proper level. there is a positive trend in the early detection of cancer, which partly influences the reduction in the one-year mortality rate.…”
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Evaluating behavioral intervention technologies: Integrating human-centered design and implementation science outcomes by Shumenghui Zhai, Weichao Yuwen, Tiffany L Zyniewicz, Jennifer Sonney, Jonika Hash, Maida Chen, Teresa M Ward

“…Results The USIS model incorporates five domains: (1) user-centeredness (empathy, engagement, and equity), (2) efficiency (cost, timeliness, and rapidity), (3) feasibility (learnability, memorability, error reduction, and low cognitive load), (4) satisfaction (acceptability and appropriateness), and (5) fidelity (adoption, penetration, and sustainability). …”
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A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

“…Additionally, the DR-PIFO offers a significant reduction in the relative flow completion time (FCT) errors, exhibiting a minimum of 30&#x0025; less error compared to the previously proposed models when implementing various scheduling policies with workloads collected from data centers. …”
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Improving Subsurface Soil Moisture Estimation Using a 2‐Dimensional Data Assimilation Framework Incorporated With a Dual State‐Parameter Scheme by Dehai Liao, Jun Niu, Taisheng Du, Shaozhong Kang

“…Under 2‐dimensional DA, the information transfer between layers was more accurately characterized, leading to overall improvements with unbiased root‐mean‐square error (ubRMSE) reductions of 0.015 and 0.005 m3 · m−3, and Kling–Gupta efficiency (KGE) increases of 0.248 and 0.067 for surface and subsurface SM, respectively, across five SM networks. …”
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PEGASUS-XL with saliency-guided scoring and long-input encoding for multi-document abstractive summarization by Rawan Alsultan, Alaa Sagheer, Hala Hamdoun, Lamya Alshamlan, Latifah Alfadhli

“…Ablation studies quantify the contribution of each component, and detailed error analysis identifies remaining issues such as factual drift and residual redundancy. …”
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An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

“…The proposed method significantly preserves vibration features during noise reduction of an ancient building in deformation monitoring, which is crucial for damage assessment.…”
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Revolutionizing clean energy labs: Robotic imitation learning for efficient fabrication AI-powered electrical units assembly platform by Xi Xu, Yijun Gu, Tianyi Zhang, Jiwen Yu, Stephen Skinner

“…The material (LBSF) was DFT-predicted to have high oxygen reduction reactions (ORRs) ability, suitable for the cathode in SOFCs compared to the conventional (LSF). …”
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Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry by S. A. N. Nouwens, M. M. Paulides, J. Fölker, I. VilasBoas-Ribeiro, B. de Jager, W. P. M. H. Heemels

“…The method is experimentally validated using a dedicated phantom that enables the controlled injection of air-motion artifacts and with in vivo thermometry from a clinical hyperthermia treatment.Results We showed, using probe measurements in a heated phantom, that our method reduced the mean absolute error (MAE) by 58% compared to the state-of-the-art near a moving air volume. …”
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ANN and Multilayer-ELM based prediction of combustion, performance and emission characteristics of a diesel engine fuelled with Diesel-DTBP blends by Hiren Dave, Vinay Vakharia, Hitesh Panchal, Md Irfanul Haque Siddiqui, Dan Dobrotă

“…Moreover, ML models achieved least error metrics for all three key engine performance metrics. …”
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Parameter Optimization Design and Experimental Validation of a Header for Electric Rice Reaper Binders Employed in Hilly Regions by Jinbo Ren, Difa Bao, Zhi Liang, Chongsheng Yan, Junbo Wu, Xinhui Wu, Shuhe Zheng

“…Field validation tests demonstrated an actual stem-lifting angle of 2.44° (relative error: 3.39%) and a header loss rate of 0.59%, representing a 49.6% reduction compared with the pre-optimized design. …”
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ITap: Index Finger Tap Interaction by Gaze and Tabletop Integration by Jeonghyeon Kim, Jemin Lee, Jung-Hoon Ahn, Youngwon Kim

“…The findings revealed that ITap outperformed gaze + pinch in terms of object selection speed and error reduction, particularly in scenarios involving distant or densely arranged objects. …”
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Combined application of FTAN and cross-spectra analysis to ambient noise recorded by a microseismic monitoring network by Ilaria Barone, Alessandro Brovelli, Giorgio Tango, Sergio Del Gaudio, Giorgio Cassiani

“…It was shown that using a one-year time window these errors are reduced to 0.3%.…”
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