A theory-informed, experiment-based constraint on the rate of autoxidation chemistry – an analytical approach by L. Pichelstorfer, L. Pichelstorfer, S. P. O'Meara, S. P. O'Meara, G. McFiggans

“…Results show the ability to recover the rate coefficients with a maximum error of less than 1 % for all reaction types. The process is automated and capable of determining roughly 10<span class="inline-formula">³</span> rate coefficients per second when run on a PC. …”
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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

“…Meanwhile, with 290 sets of real samples provided for any given propulsion speed requirement, the agent can recommend a set of action combinations with an error range of 0.23% to 6.68%, which can provide reference for practical applications.…”
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A Unified IMC based PI/PID Controller Tuning Approach for Time Delay Processes by Amir Hossein Ahmadi, Seyed Kamaledin Nikravesh, Ali Moradi Amani

“…The presented settings are applicable to a wide range of integrating processes. …”
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A Wireless Smart Adhesive Integrated with a Thin-Film Stretchable Inverted-F Antenna by Ashok Chhetry, Hodam Kim, Yun Soung Kim

“…The final S4 system achieved high correlation (R = 0.95, <i>p</i> < 0.001, mean standard error = 0.04 °C) with commercial sensors during daily activities. …”
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Real-Time Phase Tracking Scheme With Mismatched-Basis Data for Phase-Coding Quantum Key Distribution by Dong Wang, Xiaotian Song, Liangjiang Zhou, Yibo Zhao

“…In this paper, we propose a single-photon level real-time phase tracking scheme using only the estimated quantum bit error rate (QBER) and mismatched-basis data to acquire the phase drift parameter instead of a phase scanning process or reference light pulses, without extra hardware or interrupting the transmission of quantum signals. …”
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Classifiability Analysis of Spectroscopic Profiling Datasets in Food Safety-related Discriminative Tasks by Yinsheng Zhang, Xudong Yang, Zhengyong Zhang, Haiyan Wang

“…Compared to the current “trial-and-error” practice, this paper proposes a dedicated two-step classifiability analysis framework to address this issue. …”
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SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data by Yuhan Liu, Yuanyuan Zha, Gulin Ran, Yonggen Zhang, Liangsheng Shi

“…Abstract Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. …”
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A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis by Vandana Akshath Raj, Subramanya G. Nayak, Ananthakrishna Thalengala

“…The performance metrics employed in this study include: signal-to-noise ratio (SNR), correlation coefficient (CC), root mean square error (RMSE), and power spectral density (PSD). The findings indicate that the proposed approach yields superior results, with an average SNR improvement of 4.1360 dB and an average CC of 0.8171 compared with the combination of the VMD-CCA, EMD-CCA, EEMD-CCA, and EWT methods. …”
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Enhancing Temperature Data Quality for Agricultural Decision-Making with Emphasis to Evapotranspiration Calculation: A Robust Framework Integrating Dynamic Time Warping, Fuzzy Logi... by Christos Koliopanos, Alexandra Gemitzi, Petros Kofakis, Nikolaos Malamos, Ioannis Tsirogiannis

“…The DTW–Fuzzy Logic approach reliably detected spatial inconsistencies, while the machine learning reconstruction achieved low root mean squared error (RMSE) values (0.40–0.66 °C), ensuring the high fidelity of the corrected dataset. …”
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Assessing the effectiveness of LiDAR-based apps on Apple devices to survey indoor and outdoor medium sized areas by D. Treccani, A. Adami, L. Fregonese

“…Results highlight that while mobile LiDAR apps on Apple devices facilitate low-cost, fast, accessible surveys, they exhibit in some areas errors on the order of 10 centimeters, while in others, on the order of 1 centimeter. …”
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Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics by Abhishek Kumar, Abdul Khader Jilani Saudagar, Ankit Kumar, Yazeed Masaud Alkhrijah, Linesh Raja

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LQR-based control strategy for improving human–robot companionship and natural obstacle avoidance by Zefan Su, Hanchen Yao, Jianwei Peng, Zhelin Liao, Zengwei Wang, Hui Yu, Houde Dai, Tim C. Lueth

“…Experimental results demonstrate the superiority of this approach over conventional control algorithms in terms of control distance and directional errors throughout system operation. The proposed LQR-based control strategy ensures coordinated and consistent motion with target persons in social companion scenarios.…”
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Probing the Influence of Specular Reflection and Overexposure on Backscattering Mueller Matrix Polarimetry for Tissue Imaging and Sensing by Wei Jiao, Nan Zeng, Rui Hao, Hui Ma, Chao He, Honghui He

“…This study offers a strategy for selecting the polarization parameters during in vivo polarimetric imaging applications, provides valuable references for further eliminating the characterization errors induced by specular reflection, and may contribute to the advancement of quantitative tissue polarimetric imaging and sensing.…”
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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

“…The proposed framework assesses both models in various privacy-protective environments, providing comprehensive information on how distinct differential privacy techniques affect learning stability, accuracy, and clinical applicability. The performance was evaluated using established metrics including Accuracy, Precision, Recall, F1-Score, and mean absolute error (MAE). …”
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Closed-Form Continuous-Time Neural Networks for Sliding Mode Control with Neural Gravity Compensation by Claudio Urrea, Yainet Garcia-Garcia, John Kern

“…Consequently, a high-precision controller with a maximum error rate of approximately 1.57 mm was obtained, making it useful for applications requiring high accuracy.…”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

“…First, features of user&#039;s opinions are extracted based on three methods: (1) Backward Feature Selection; (2) High Correlation Filter; and (3) Low Variance Filter. Second, the error rate of the primary classification for each method calculated through the perceptron. …”
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Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation by Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang

“…Precision depth estimation plays a key role in many applications, including 3D scene reconstruction, virtual reality, autonomous driving and human–computer interaction. …”
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AnomLite: Efficient binary and multiclass video anomaly detection by Anna K. Zvereva, Mariam Kaprielova, Andrey Grabovoy

“…Anomaly detection in video surveillance is critical for ensuring public safety, as manual monitoring of numerous video feeds is often challenging and prone to human error. Security operators can struggle to maintain focus over prolonged periods, leading to missed events or delayed responses. …”
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End‐To‐End Deep Learning Temperature Prediction Algorithms of a Phase Change Materials From Experimental Photos by Mohammad Hassan Ranjbar, Kobra Gharali, Artie Ng

“…Comparison of the networks shows that MobileNets based Weights IV – Deep Neural Network (WIV‐ DNN) detects the temperature at different locations of the PCM successfully with an average error of less than 0.9% during the whole melting process in 0.03 s. …”
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Early-stage breast cancer screening using a new biodegradable and easily implantable multi-element sensor in sub-THz range by Madan Kumar Sharma, Satyanarayana Degala, Abdullah Said Alkalbani

“…The Principal Component Analysis (PCA) results, error bar and sensitivity parameters are accounted for in the analysis to discriminate the normal phantom from malignant phantoms. …”
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