POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

“…This corresponds to a 0.029% error while reducing the required number of EM simulations to <inline-formula> <tex-math notation="LaTeX">$1/6$ </tex-math></inline-formula> compared to conventional methods. …”
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Context-Aware Multimodal Fusion with Sensor-Augmented Cross-Modal Learning: The BLAF Architecture for Robust Chinese Homophone Disambiguation in Dynamic Environments by Yu Sun, Yihang Qin, Wenhao Chen, Xuan Li, Chunlian Li

“…Furthermore, the sensor-augmented module significantly improves robustness under noise (speech SNR to 18.6 dB at 75 dB noise, 12.7% reduction in word error rates). By bridging gaps among tonal phonetics, contextual semantics, and computational efficiency, BLAF establishes a scalable paradigm for robust Chinese homophone disambiguation in industrial NLP applications. …”
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GazeCapsNet: A Lightweight Gaze Estimation Framework by Shakhnoza Muksimova, Yakhyokhuja Valikhujaev, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…Our results show that GazeCapsNet achieves state-of-the-art (SOTA) performance on several benchmark datasets, including ETH-XGaze and Gaze360, achieving a mean angular error (MAE) reduction of up to 15% compared to existing models. …”
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Improving Model Robustness With Frequency Component Modification and Mixing by Hyunha Hwang, Se-Hun Kim, Kyujoong Lee, Hyuk-Jae Lee

“…Experimental results demonstrate that FCMM achieves a 1.4%p reduction in mean corruption error (mCE) on both CIFAR-10-C and CIFAR-100-C, and 1.3%p on ImageNet-C compared to PixMix, which uses additional data. …”
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Built environment characteristics and driving speed in 30 km/h zones: a Dutch national analysis by Paul Schepers, Werner van Loo, Wouter Mieras, Hans Drolenga, Dick de Waard, Marco Helbich

“…Out study provides valuable insights into the effectiveness of speed-reduction measures, offering guidance for interventions targeting streets with excessive speeds. …”
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Optimal reception of multiple phase shift keying and quadrature amplitude modulation signals with non-coherent processing of harmonic interference by G. V. Kulikov, T. T. Do, A. A. Lelyukh, V. D. Nguyen

“…The dependences of the bit error probability on the signal-to-noise ratio, interference detuning, and inaccuracy in setting the frequency and level of the interference sample in the receiver were obtained. …”
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Cost Effectiveness Analysis of Eribulin Mesylate as a Treatment for Metastatic Breast Cancer in Spain: Management in the Later Line of Therapy by Gabriel Tremblay, Unnati Majethia, Ilias Kontoudis, Jesús De Rosendo

“…This difference may fall within the margin of error for the model and could potentially be addressed by a minor reduction in the eribulin price.…”
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Performance Analysis of Binary and Ternary Blends of Ammonia, Hydrogen, and Diesel in Compression Ignition Engine by Laveet Kumar, Ahmad K. Sleiti

“…However, when EGR is implemented at 25%, there is a substantial reduction in NOx concentration.…”
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Optimization of four-diode equivalent circuit models for solar cells: Analytical formulation and performance enhancement by Martin Calasan, Snezana Vujosevic, Mohammed Alruwaili, Moustafa Ahmed Ibrahim

“…For the PHOTOWATT PWP 201 solar panel, the proposed models achieved up to a 29 % reduction in root-mean-square error (RMSE) compared to the most accurate method reported in the literature. …”
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Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…Moreover, it was applied to the noise reduction of real underwater acoustic signals. The simulation results show that after processing by this method, noise intensity, correlation dimension, and permutation entropy all decreased. …”
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Phase Difference of Arrival Aided Downlink Time Difference of Arrival Ultra-Wide Band Positioning System by Josef Krska, Christian Gentner, Vaclav Navratil

“…In the best case, reduction from 14.79 cm to 10.14 cm, i.e., 35 % was observed.…”
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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…Additionally, the size error between the generated map and the actual scene was reduced to just 0.81 %, indicating high fidelity in mapping accuracy. …”
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An ensemble-driven machine learning framework for enhanced water quality classification by Preet Singh, Taniya Hasija, Salil Bharany, Hafiza Nazra Tun Naeem, B. Chinna Rao, Seada Hussen, Ateeq Ur Rehman

“…The soft voting ensemble model, therefore, shows a relative improvement of 1.46% in accuracy over the best-performing base learner and a 27.8% reduction in its error rate. It is, therefore, confirmed that ensemble learning soft voting improves the reliability of water quality classification as well as accuracy, thus providing a strong platform for future environmental monitoring systems.…”
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Financial Policies and Corporate Income Tax Administration in Nigeria by Cordelia Onyinyechi Omodero, Joy Limaro Yado

“…This investigation applies autoregressive distributed lag and error correction models, acknowledging the existence of a long-term relationship within the series. …”
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Improving Georeferencing Accuracy in Drone Imagery: Combining Drone Camera Angles with High and Variable Fields of View by Vishal Nagpal, Manoj Devare

“…The proposed approach further shows a quantitative improvement of 12.50% to 75.0% in the geolocation error reduction claimed. It was achieved by the decrease of MAE from 0.108 km to 0.055 km while RMSE was lowered from 0.111 km to 0.057 km indicating the reliability of the method. …”
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Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data by Sachini Wijesena, Biswajeet Pradhan

“…The GLM achieved a mean absolute error (MAE) of 8.2%, which is comparable to the neural network model’s MAE of 7.6%. …”
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Accelerated Modeling of Transients in Electromagnetic Devices Based on Magnetoelectric Substitution Circuits by Sergii Tykhovod, Ihor Orlovskyi

“…The simulation of processes over a long time interval demonstrate error reduction and stabilization. This indicates the potential of the proposed method for simulating processes in more complex electromagnetic devices, (for example, transformers).…”
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The impact of study size on meta-analyses: examination of underpowered studies in Cochrane reviews. by Rebecca M Turner, Sheila M Bird, Julian P T Higgins

“…We defined adequate power as ≥50% power to detect a 30% relative risk reduction. In a subset of 1,107 meta-analyses including 5 or more studies with at least two adequately powered and at least one underpowered, results were compared with and without underpowered studies. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

“…Field validation showed that the productivity prediction model achieved an average error of 7.06%, providing a basis for horizontal fracture engineering design and achieving cost reduction and efficiency improvement in oilfield development.…”
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Tribological Performance of Electrochemically Textured EN-GJS 400-15 Spheroidal Cast Iron by Peng Jiang, Jonathon Mitchell-Smith, John Christopher Walker

“…Textured surfaces exhibited a more pronounced friction performance at 50 N than at 11 N, exhibiting a consistent friction reduction of up to 18.8% compared to the untextured surface. …”
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