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 May, a significant reduction of SWE in the northeast of the region (up to 15 mm/10 years) is found, which is due to the warming in April and May, and an earlier start of snowmelt. …”
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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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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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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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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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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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Factors Related to Superior and Inferior Hemifield Defects in Primary Open-Angle Glaucoma by Remi Takeuchi, Nobuko Enomoto, Kyoko Ishida, Ayako Anraku, Goji Tomita

“…Clinical data including visual acuity, refractive error, disc hemorrhage, VF indexes, and medical history were recorded. …”
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The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…In terms of this index, the model generates good agreement between reference and observed maps in 2001, and 2010 with relative error values of 5 %, and 0.4 %. Spatial process was attrition in the ground truth data due to the reduction in area, and number of patch per unit area during 1984–2001, and 2001–2010. …”
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The Neural Correlates and Behavioral Impact of Peripheral Noise Electrical Stimulation on Motor Learning by Li-Wei Chou, Man-Wai Kou, Hui-Min Lee, Felipe Fregni, Vincent Chen, Chung-Lan Kao

“…The differences (force error) between the actual and the targeted force were calculated, and motor learning was achieved by reducing the force error to a plateau. …”
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Self-adaptive simulation method for natural gas pipeline considering temperature and pressure compensations by Xiong YIN, Bo XU, Tianyao LIU, Kai WEN, Weihe HUANG, Jing GONG

“…Conclusion The proposed self-adaptive simulation method for natural gas pipelines considering temperature and pressure compensations, stands out for its stable algorithm, rapid error correction, and minimal convergence error. …”
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Bonding behavior of lap-spliced reinforcing bars embedded in ultra-high-performance concrete with steel fibers by Krairerk Aiamsri, Teerasak Yaowarat, Suksun Horpibulsuk, Apichat Suddeepong, Apinun Buritatum, Kanchana Hiranwatthana, Kirati Nitichote

“…This method achieves an error margin below ±16.5%, providing an accurate approach for practitioners. …”
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Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001–2019 by Houbing Chen, Yaoliang Chen, Lamin R. Mansaray, Longwei Li, Shusen Wang

“…LCCs led to a 3.45 mm/yr decrease in average ET, and mitigated 20 % of increased ET. LCCs caused a net reduction of 7.44 billion m³ in ET water consumption. …”
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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego A. Medina-Herrera, Jorge A. Mejía-Luquez, Remberto R. Martínez, William O. Burgos-Paz, Lorena A. Aguayo-Ulloa

“…This study investigates the in-field dynamics of Mombasa grass (<i>Megathyrsus maximus</i>) forage biomass production and quality using optical techniques such as visible imaging and near-infrared (VIS-NIR) hyperspectral proximal sensing combined with machine learning models enhanced by covariance-based error reduction strategies. Data collection was conducted using a cellphone camera and a handheld VIS-NIR spectrometer. …”
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Design and testing of a lotus root harvester with a collection device by Xiaofeng Zhou, Lizi Liu, Yunfu Luo, Hui Wang

“…Using coupled computational fluid dynamics–discrete element method (CFD–EDEM) simulations, hydraulic parameters were optimized (nozzle diameter: 12.01 mm; flushing angle: 46.59°; clearance: 50.25 mm), achieving a simulated soil fragmentation rate of 29.02 % (simulation error: 0.8 %). Bench tests confirmed a fragmentation rate of 28.90 % (deviation: 0.41 % from simulation) and demonstrated a 60 % reduction in labor intensity. …”
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