Does advancement in marker-less pose-estimation mean more quality research? A systematic review by Shivam Bhola, Shivam Bhola, Hyun-Bin Kim, Hyeon Su Kim, BonSang Gu, Jun-Il Yoo, Jun-Il Yoo

“…Recent breakthroughs in marker-less pose-estimation have driven a significant transformation in computer-vision approaches. …”
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StratLearn-z: Improved photo-$z$ estimation from spectroscopic data subject to selection effects by Chiara Moretti, Maximilian Autenrieth, Riccardo Serra, Roberto Trotta, David A. van Dyk, Andrei Mesinger

“…We also assess the quality of the predicted conditional redshift estimates using the probability integral transform (PIT) and the continuous rank probability score (CRPS). …”
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High-throughput phenotyping tools for blueberry count, weight, and size estimation based on modified YOLOv5s by Xingjian Li, Sushan Ru, Zixuan He, James D. Spiers, Lirong Xiang

“…The first pipeline used traditional algorithms such as Hough Transform, Watershed, and filtering. …”
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Channel Amplitude and Phase Error Estimation of Fully Polarimetric Airborne SAR with 0.1 m Resolution by Jianmin Hu, Yanfei Wang, Jinting Xie, Guangyou Fang, Huanjun Chen, Yan Shen, Zhenyu Yang, Xinwen Zhang

“…Considering the issue of range resolution degradation and paired echoes caused by multichannel amplitude–phase mismatch in fully polarimetric airborne SAR with 0.1 m resolution, an amplitude–phase error estimation algorithm based on echo data is proposed in this paper. …”
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Image dehazing algorithm based on light-value weighted allocation and multi-layer restricted perception by Dongyang Shi, Sheng Huang, Wei Zhao

“…The proposed algorithm first constructs an atmospheric light estimation module based on weighted allocation. …”
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Transforming Chiller Plant Efficiency with SC+BAS: Case Study in a Hong Kong Shopping Mall by Fong Ming-Lun Alan, Li Baonan Nelson

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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

“…ObjectiveTo develop and validate an explainable machine learning (ML) model predicting the risk of hemorrhagic transformation (HT) after intravenous thrombolysis.MethodsWe retrospectively enrolled patients who received intravenous tissue plasminogen activator (IV-tPA) thrombolysis within 4.5 h after symptom onset to form the original modeling cohort. …”
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Creation of a Custom 3D Algorithm for Proper Alignment of Straight Nails in Tibiotalocalcaneal Arthrodesis by Omer Subasi PhD, Wei Shao Tung BS, Julian Hollander Bsc, Samir Ghandour MD, Atta Taseh MD, Nour Nassour MD, Adarsh Aratikatla, Alireza Ebrahimi MD, Bernard Burgesson MD, Soheil Ashkani-Esfahani MD, John Y. Kwon MD

“…Additionally, the novel algorithm can also be used preoperatively to estimate the required calcaneal medialization and ensure precise implant positioning. …”
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Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle–Light Detection and Ranging and Machine Learning by Yan Yan, Jingjing Lei, Yuqing Huang

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Development of Robust Lane-Keeping Algorithm Using Snow Tire Track Recognition in Snowfall Situations by Donghyun Kim, Yonghwan Jeong

“…The proposed algorithm is structured into two primary modules: a snow tire track detector and a lane center estimator. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…In contrast, nuclear magnetic resonance (NMR) measurements, which provide information on pore body size distribution, are faster and can be leveraged to estimate capillary pressure using machine learning algorithms. …”
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Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering by Erenay Karacan, Yanbin Chen, Christian B. Mendl

“…By combining our proposed algorithm with state-of-the-art phase estimation methods, we achieved good approximations for the ground state energy with local, two-qubit gate depolarizing probability up to $10^{-4}$. …”
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Approaches to Assessing Knowledge Level of Business-Organization by S. N Kukushkin, O. E. Kalenov

“…The authors substantiate specificity of knowledge with regard to its dubious nature and propose methodological approach to assessment of the organization level of knowledge, which is based on analysis of 16 indicators combined in 4 groups: dynamics of business-organization development, system of education and training of personnel, scientific and technical and innovation potential, information system and information support of business-organization. In conclusion algorithm of estimating the index of knowledge level is described and advantages of this method are demonstrated.…”
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Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning by Kai Yang, Fan Wu, Hongxu Guo, Dongbin Chen, Yirong Deng, Zaoquan Huang, Cunliang Han, Zhiliang Chen, Rongbo Xiao, Pengcheng Chen

“…This suggests that the integrated algorithm demonstrates a greater robustness and generalization capability. …”
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Multiscale KF Algorithm for Strong Fractional Noise Interference Suppression in Discrete-Time UWB Systems by Liyun Su, Yuli Zhang, Yanju Ma, Jiaojun Li, Fenglan Li

“…In order to suppress the interference of the strong fractional noise signal in discrete-time ultrawideband (UWB) systems, this paper presents a new UWB multi-scale Kalman filter (KF) algorithm for the interference suppression. This approach solves the problem of the narrowband interference (NBI) as nonstationary fractional signal in UWB communication, which does not need to estimate any channel parameter. …”
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The Aboveground Biomass Estimation of the Grain for Green Program Stands Using UAV-LiDAR and Sentinel-2 Data by Gaoke Yueliang, Gentana Ge, Xiaosong Li, Cuicui Ji, Tiancan Wang, Tong Shen, Yubo Zhi, Chaochao Chen, Licheng Zhao

“…Then, the AGB of the GGP stands was estimated using the Sentinel-2 data and the gradient boosting decision tree (GBDT) algorithm. …”
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The ensemble transform Schmidt–Kalman filter: A novel method to compensate for observation uncertainty due to unresolved scales by Zackary Bell, Sarah L. Dance, Joanne A. Waller

“…To obtain an optimal estimate through data assimilation, the error due to unresolved scales must be accounted for in the algorithm. …”
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Grid-voltage Sensorless Control Scheme of Single-phase Cascaded H-bridge Rectifiers with Virtual Flux Estimation by Yongxiang WANG, Wei JIANG, Chi MA

“…In this paper, a mathematical model in the <italic>d</italic>-<italic>q</italic> coordinate system of a single-phase cascaded H-bridge rectifier was established first, then a <italic>d</italic>-<italic>q</italic> current decoupling control method using virtual flux estimation was proposed based on the principle of the none grid-side voltage sensor control algorithm used in the three-phase system, which solved single-phase cascaded H-bridge rectifier’s no grid-side voltage sensor control problems. …”
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Motion and Inertia Estimation for Non-Cooperative Space Objects During Long-Term Occlusion Based on UKF-GP by Rabiul Hasan Kabir, Xiaoli Bai

“…The initial guesses for the periodicity hyper-parameters of the GP models are intelligently derived from fast Fourier transform (FFT) analysis of the projection data. Additionally, we propose an unscented Kalman filter–Gaussian process (UKF-GP) fusion algorithm for target motion and inertia parameter estimation. …”
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An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

“…This paper presents an efficient electrocardiogram (ECG) signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding. Firstly, the original ECG signal is preprocessed by detecting QRS complex, then the difference between the preprocessed ECG signal and the estimated QRS-complex waveform is estimated. 2D approaches utilize the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. …”
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