Evaluating Sparse Inertial Measurement Unit Configurations for Inferring Treadmill Running Motion by Mackenzie N. Pitts, Megan R. Ebers, Cristine E. Agresta, Katherine M. Steele

“…Shallow recurrent decoder networks (SHRED) can reconstruct a dense set of time-series signals from a single input sensor and have been successful in human mobility applications, highlighting the potential for this algorithm to monitor running. …”
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Sample Size for Agreement Studies on Quantitative Variables by Bruno Mario Cesana, Paolo Antonelli

“…We generalized a restricted null hypothesis that constitutes a particular case in finding the supremum of the probability of rejecting the equivalence under the null hypothesis (H0) and which, obviously, limits its applicability. Particularly, we devise and propose an exact procedure for calculating the sample sizes for individual equivalence, as an expression of the agreement between two measurement methods, by using a size a test (that is, with adequate control of Type I error), based on the non-central bivariate t distribution with correlation equal to 1 and to the related functions for calculating a and 1-b probabilities. …”
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Direct 3-D printing of complex optical phantoms using dynamic filament mixing by Rahul Ragunathan, Miguel Mireles, Edward Xu, Aiden Lewis, Morris Vanegas, Qianqian Fang

“…Future studies will target the usage of additional filament materials to expand potential imaging applications.…”
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Temporal-Sequence Offline Reinforcement Learning for Transition Control of a Novel Tilt-Wing Unmanned Aerial Vehicle by Shiji Jin, Wenjie Zhao

“…Although online reinforcement learning algorithms offer adaptability, they depend on real-world exploration, posing considerable safety and cost risks for safety-critical UAV applications. To address this challenge, we propose Temporal Sequence Constrained Q-learning (TSCQ), an offline RL framework that integrates an encoder–decoder with recurrent networks to capture temporal dependencies. …”
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Histopathology Grading of Breast Cancer Using Visual Geometry Group Method by A. Santika Hyperastuty, Fachruddin Ari Setiawan, Dio Alif Pradana, Rahma Ajeng Puspitasari, Lailatul Inayah, Eko Winarti

“…Future research should focus on exploring lightweight architectures, improving model explanations, and validating more diverse and larger datasets to enhance real-world applicability in digital pathology.…”
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Influence of Rice Husk Ash on Crystalline Phases and Mechanical Characteristics of Sustainable Bricks by F. Booth, M.B. Carranza, G. Novak, N. Okulik, A. Mocciaro, N. Rendtorff

“…Despite the reduction in mechanical properties, bricks with up to 15% RHA are suitable for non-structural applications, offering an eco-friendly alternative to conventional bricks. …”
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Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka, Patchanok Srisuradetchai

“…The dual-output architecture employs a custom loss function, combining mean squared error with Softplus-derived predictive variance, ensuring non-negative variance values. …”
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Logging Components Extraction Method and Anisotropy Recognition Based on 3D Holographic LWD Instrument by Shuyu Guo, Jie Wang, Xiangyu Xing, Jiaqi Xiao, Xiao Liu

“…By employing the same inversion method, the anisotropy coefficients calculated from the new signal will be more accurate than those derived from traditional signals, with the developed signal inversion average error controllable within 0.01.…”
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Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank by Jukyung Lee, Hyosung Joo, Jihwan Woo

“…., resulting in a mean absolute error of 2.5 beats per minute) higher accuracy than those of conventional methods. …”
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Improving Diacritical Arabic Speech Recognition: Transformer-Based Models with Transfer Learning and Hybrid Data Augmentation by Haifa Alaqel, Khalil El Hindi

“…These diacritical marks (short vowels) significantly influence meaning and pronunciation, and their accurate recognition is vital for the effectiveness of automatic speech recognition (ASR) systems, particularly in applications requiring high semantic precision, such as voice-enabled translation services. …”
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Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning by Amrit Kumar, Shweta Mishra, R. K. Gupta, V. Manjuladevi

“…The integration of ML significantly improves detection accuracy, reduces analysis time, and minimizes human error, paving the way for scalable, cost-effective diagnostic tools for diverse biological and environmental applications.…”
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Measuring the Dimension Accuracy of Products Created by 3D Printing Technology with the Designed Measuring System by Martin Pollák, Dominik Sabol, Karol Goryl

“…The result is the design of a measurement scanning system with precise motion control through a connected servo drive intended for industrial applications of object error detection and measurement of dimension accuracy.…”
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Stress-Strength Reliability of Two-Parameter Exponential Distribution Based on Progres- sively Type-II Censored Data by Sajad Rostamian

“… Introduction: Stress-strength models has achieved considerable attention in recent years due to its applicability in various areas like engineering, quality control, biology, genetics, medicine etc. …”
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A Multiparameter Coupled Prediction Model for Annular Cuttings Bed Height in Horizontal Wells by Zongyu Lu, Baocheng Wu, Jiangang Shi, Chuanming Xi, Kai Wei

“…The model provides convenience for engineering applications.…”
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Improved Ellipsoidal Intersection Method for 2D Data Fusion by Muhammed Mert Ulupinar, Gokhan Soysal

“…The proposed Improved Ellipsoidal Intersection method offers a promising approach for applications requiring precise and reliable data integration, particularly in cases with strong correlations.…”
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Video Analysis and Frame Prediction Based on Improved Object Detection and ConvGRU by Xijuan Wang, Ru Chen

“…The PSNR, structural similarity, and interpolation error of the frame prediction model were superior to existing advanced models. …”
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Precision-and-flexibility optimized wearable dual-channel EEG acquisition system by Fugui Qi, Chuantao Li, Yufei Jing, Fuming Chen

“…For many out-of-laboratory monitoring applications, it is necessary and significant to develop a novel flexible wearable EEG acquisition system with superior characteristics of small size, high precision and easy to wear. …”
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LITERATURE REVIEW: ADVANTAGES AND DISADVANTAGES OF BLACK BOX AND WHITE BOX TESTING METHODS by Asri Maspupah

“…Software testing methods play a crucial role in ensuring the quality, security, and performance of applications. The two main approaches often used are black box and white box testing. …”
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Artificial intelligence orchestration for text-based ultrasonic simulation via self-review by multi-large language model agents by Soyeon Kim, Yonggyun Yu, Hogeon Seo

“…In particular, when vectorized output lengths deviate from the standard, we regenerate outputs using multiple LLM agents, reducing the scenario generation error rate from 23.89 to 1.48% and enhancing reliability significantly. …”
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Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks by Alessandro Franco, Cecilia Pagliantini

“…In addition to evaluating predictive performance, this work proposes a reproducible methodology applicable to other national contexts or similar forecasting problems. …”
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