A Sparse CoSaMP Channel Estimation Algorithm With Adaptive Variable Step Size for an OFDM System by Ning Xiaoling, Chen Yangyi, Zhang Linsen

“…Additionally, the proposed algorithm was superior over the SAMP algorithm in terms of reconstruction, mean square error (MSE), and bit error ratio (BER).…”
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Development of MongoDB-based Gait System with Interactive Visualization for Clinical Analysis by Rizal Rahman Rizkika, Helisyah Nur Fadhilah, Tanzilal Mustaqim, Rifdatun Ni'mah

“…To support clinical applications, an efficient system is needed to manage gait data and present analysis results interactively. …”
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Analysis of meteorological drought using satellite-based rainfall products over southern Ethiopia by T. M. Weldegerima, T. B. Gebresilassie, T. B. Gebresilassie

“…The statistical metrics of correlation coefficient (CORR), bias (BIAS), percent bias (PBIAS), mean error (ME), mean absolute error (MAE), root mean square error (RMSE), and Nash–Sutcliffe efficiency coefficient (NSE) were used to compare and evaluate the satellite rainfall products. …”
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An indoor positioning method based on bluetooth array/PDR fusion using the SVD-EKF by Chenhui Li, Jie Zhen, Jianxin Wu

“…The dynamic test results in the room show that after SVD-EKF algorithm optimization, the positioning error is reduced by 0.05m, which is equivalent to the EKF algorithm. …”
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Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques by Sahas V. Swamy, Bijay Mihir Kunar, Karra Ram Chandar, Mamdooh Alwetaishi, Shashikumar Krishnan, Sudhakar Reddy

“…Internal validation by means of K-fold cross validation and external validation with independent datasets confirmed generalization capability, showing an average prediction error of ± 10%. The findings demonstrate that combining grinding characteristics with machine learning offers an accurate, cost-effective alternative to conventional UCS testing, with significant practical applications in rock engineering.…”
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Hata-Yanagiya physical activity calculation system: a novel global positioning system-based method for accurate estimation of oxygen consumption during walking and running by Keiichiro Hata, Toshio Yanagiya, Toshio Yanagiya, Hiroaki Noro, Yoshio Suzuki

“…Future studies should address limitations such as sample size and population diversity to enhance the system's applicability.…”
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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

“…The performance of the analytical and ML models is accessed using commonly used performance indices, namely, the coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), a-20 index, and Nash–Sutcliffe (NS). …”
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Importance Analysis of Vegetation Change Factors in East Africa Based on Machine Learning by Zhang Xiumei, Ma Bo, Zhang Yijie

“…Coefficient of determination (R2), mean absolute error (MAE), and mean relative error (MRE) were used as error indicators to evaluate the potential of the six machine learning algorithms for predicting NDVI changes. …”
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Machine learning approach for water quality predictions based on multispectral satellite imageries by Vicky Anand, Bakimchandra Oinam, Silke Wieprecht

“…The model performance was evaluated based on coefficient of determination (R2), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and the Root Mean Square Error (RMSE) statistical indices. …”
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Analysis of Temperature Changes, Vegetation, Evapotranspiration, and Drought Based on Modeling of Landsat 5 and 8 Satellite Imagery and Meteorological Indicators by Mitra Sadat Fathifard, Abbas Rahdan, Mahsa Tohidfar

“…To achieve the best results with minimal error, the Inverse Distance Weighting (IDW) method with exponential dispersion was employed, and statistical indices such as Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) were used to select the best interpolation method. …”
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Generating context-specific sports training plans by combining generative adversarial networks. by Juquan Tan, Jingwen Chen

“…The model is evaluated quantitatively through metrics like mean square error (MSE) and generation time and qualitatively through subjective ratings from athletes and coaches using a five-point Likert scale for context-specific, scientificity, applicability, and feasibility. …”
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Concurrent validity of novel smartphone-based apps monitoring barbell velocity in powerlifting exercises. by Alexander Renner, Benedikt Mitter, Arnold Baca

“…The aim of this study was to determine the validity of three smartphone applications measuring barbell movement velocity in resistance training and comparing them to a commercially available linear transducer. …”
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Estimating QoE from Encrypted Video Conferencing Traffic by Michael Sidorov, Raz Birman, Ofer Hadar, Amit Dvir

“…This approach advances QoE assessment for encrypted traffic in VC applications.…”
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Investigating Self-Heating Effects in Ferroelectric FinFETs for Reliable In-Memory Computing by Swati Deshwal, Shubham Kumar, Swetaki Chatterjee, Anirban Kar, Shivendra Singh Parihar, Yogesh Singh Chauhan, Hussam Amrouch

“…These issues cause inconsistent performance and reduce reliability, limiting their applicability in high-performance applications like ternary content addressable memory (TCAM) and Hyperdimensional computing (HDC). …”
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Robust People Tracking Using an Adaptive Sensor Fusion between a Laser Scanner and Video Camera by Yeong Nam Chae, Yeong-Jae Choi, Yong-Ho Seo, Hyun S. Yang

“…To evaluate the performance of the proposed system, we show error analysis and two applications. The results confirm that the proposed system can be used for a real-time tracking system and interactive virtual environment.…”
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Exploiting cooperative sensing for accurate target tracking in industrial Internet of things by Muneeb A Khan, Muazzam A Khan, Anis U Rahman, Asad Waqar Malik, Safdar A Khan

“…Wireless sensor networks are a cornerstone of the Internet of things with many applications. An important aspect of such applications is target tracking using self-positioned known sensor nodes. …”
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Modelling of energy demand prediction system in potato farming using deep learning method by Riswanti Sigalingging, Nasha Putri Sebayang, Noverita Sprinse Vinolina, Lukman Adlin Harahap

“…The model's accuracy in reflecting the actual data, with a mean absolute error of 0.11, mean square error of 0.01, and root mean square of 0.13, indicates no significant issues. …”
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Increasing the reliability and speed of data transmission in the rayleigh channel through the use of combining intermittent data transmission with diversity reception with optimal... by I. M. Andrianov, I. G. Kiselev, M. N. Andrianov

“…Main results of the work: the advantage of combining intermittent radiation and diversity reception of signals at a constant transmitter power is shown to increase the reliability of the functioning of autonomous systems; the dependence of the error probability on the threshold level is determined for a fixed transmitter power; an assessment was made of the optimal threshold level of the transmitting device based on the criterion of minimizing the probability of error; it has been shown that at an optimal threshold level, not only the minimum probability of erroneous data reception is ensured, but also the energy consumption of the transmitter is reduced.…”
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Anomaly detection research using Isolation Forest in Machine Learning by A. S. Kechedzhiev, O. L. Tsvetkova

“…The study is devoted to assessing the applicability of the Isolation Forest method in the task of detecting anomalies in network traffic data characterized by insufficient markup. …”
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Calculation Model of the Axial Dispersion Distribution of Cylindrical-Warhead Fragments by Ning Jiang, Wen Bin Li, Wen Jin Yao, Da Cheng Gao

“…The proposed model meets the error requirements of engineering applications. This work provides a theoretical foundation for subsequent research on damage effectiveness and IED damage assessment.…”
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