Study on the Effect of Soft and Hard Coal Pore Structure on Gas Adsorption Characteristics by Xun Zhao, Tao Feng, Ping Wang, Ze Liao

“…We used box dimension algorithm to measure the fractal dimension and distribution of coal sample microstructure. …”
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Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage by Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos

“…We also propose a hybrid algorithm that combines existing variables and new variables and conditions into a single data temperature. …”
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A fast registration method for multi-view point clouds with low overlap in robotic measurement by Chuangchuang Li, Xubin Lin, Zhaoyang Liao, Hongmin Wu, Zhihao Xu, Xuefeng Zhou

“…Subsequently, the features are sampled through unanimous voting and fed into the RANSAC (Random Sample Consensus) algorithm for pose estimation, enabling multi-view point cloud registration. …”
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A new computational method for sparse optimal control of cyber-physical systems with varying delay by Sida Lin, Dongyao Yang, Jinlong Yuan, Changzhi Wu, Tao Zhou, An Li, Chuanye Gu, Jun Xie, Kuikui Gao

“…The gradients of the objective function concerning the feedback control matrix were obtained by solving the state system and a variational system simultaneously forward in time. An optimization algorithm was devised to tackle the resulting problem, building on the piecewise quadratic approximation. …”
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Space-based long term condition monitoring of cold region pavement with PS-InSAR by Yusheng Jiang, Xiong Yu

“…Analyses were conducted using 132 ascending and 149 descending C-band InSAR images from the Sentinel-1 satellite. InSAR algorithm based on Persistent scatterers (PS-InSAR) were implemented for data analyses. …”
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Single-epoch power positioning method for multi-beam LEO communication satellites by Sibo Gao, Sibo Gao, Chunjiang Ma, Chunjiang Ma, Xiaomei Tang, Xiaomei Tang, Feixue Wang, Feixue Wang

“…It establishes a power observation equation system, initializes with the nearest neighbor algorithm, and refines with the least squares method. …”
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Studi Komparasi Naive Bayes, K-Nearest Neighbor, dan Random Forest untuk Prediksi Calon Mahasiswa yang Diterima atau Mundur by Puteri Sejati, Munawar Munawar, Marzuki Pilliang, Habibullah Akbar

“…The results showed that the Random Forest algorithm was the best with an accuracy of 73.61%, compared to K-Nearest Neighbor with an accuracy of 72.08%, and Naive Bayes with an accuracy of 70.47%. …”
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MSVPWM Based-SAPF For Harmonic Mitigation in The Distribution Network Under Unbalanced Condition by Haider Muhamad Husen, Salar Ahmed Qadir

“…In this work, synchronous reference frame (d-q) algorithm is selected to detect the harmonic current components, Proportional-integral (PI) controller is utilized to ameliorate the storage of energy in the dc-link capacitor and the multilevel space vector pulse width modulation (MSVPWM) strategy determines the switching pulses of NPC inverter. …”
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YOLOv7-CWFD for real time detection of bolt defects on transmission lines by Lincong Peng, Kerui Wang, Hao Zhou, Yi Ma, Pengfei Yu

“…These experiments validate the effectiveness of the proposed algorithm.…”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

“…By combining RFFM-KLDP and modified low-gradient sampling technique, we develop a novel and robust federated learning method for classification in the presence of the noisy text data, which can preserve data privacy and largely improve the accuracy of classification algorithm compared to the existing classifiers in terms of the area under curve and classification accuracy. …”
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Domain adaptation-based multistage ensemble learning paradigm for credit risk evaluation by Xiaoming Zhang, Lean Yu, Hang Yin

“…In this methodology, a bagging resampling algorithm is first used to generate a dataset to address data scarcity. …”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

“…Experimental results on several hyperspectral datasets demonstrate that the proposed algorithm excels in anomaly detection tasks, offering new insights and approaches for HAD.…”
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A hybrid human fall detection method based on modified YOLOv8s and AlphaPose by Lei Liu, Yeguo Sun, Yinyin Li, Yihong Liu

“…Secondly, we improve the fall recognition accuracy by introducing a hybrid fall detection algorithm based on human skeletal nodes. Lastly, we build a multi-person fall detection dataset (MPFDD) to test the model’s effectiveness in multi-person scenarios. …”
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Prioritization of Susceptible Watershed to Sediment Yield and Evaluation of Best Management Practice: A Case Study of Awata River, Southern Ethiopia by Temesgen Kefay, Tolera Abdisa, Bekan Chelkeba Tumsa

“…The model’s uncertainty evaluation was carried out on monthly basis using the Sequential Uncertainty Fitting (SUFI-2) algorithm. The performance of the model was evaluated by statistical parameters that gave R2 = 0.76, NSE = 0.75, RSR = 0.51, and PBIAS = 5.6% for calibration and R2 = 0.75, NSE = 0.74, RSR = 0.51, and PBIAS = 2.7% for validation of streamflow. …”
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Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions by Xiaomin Xu, Dongxiao Niu, Yan Li, Lijie Sun

“…Finally, the nondominated sorting genetic algorithm (NSGA-II) is introduced to solve the above optimization problems. …”
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A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method by Viktoriia Buliuk, Amine Ihamouten, Christophe Heinkele, Xavier Dérobert

“…Additionally, the simplicity of the structure facilitates a much faster and more straightforward inversion algorithm, hence making these features especially advantageous for practical applications. …”
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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…A neural network is designed as the observation scheduling network to determine observation actions for the sequenced tasks, which is well trained by the soft actor-critic algorithm. Finally, extensive experiments show that the proposed method, along with the designed mechanisms and strategy, is superior to comparison algorithms in terms of solution quality, generalization performance, and computation efficiency.…”
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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

“…Both forward propagation and backpropagation techniques were adopted for training Artificial Neural Networks (ANNs), and the gradient descent with momentum algorithm was employed for optimization. The best classification performance achieved a minimum mean squared error (MSE) of 0.074346 after 24 iterations (epochs) of training, validation, and testing. …”
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MRCNN: Multi-input residual convolution neural network for three-dimensional reconstruction of bubble flows from light field images by Heng Zhang, Jiayi Li, Niujia Sun, Hua Li, Qin Hang

“…The study confirms the feasibility of employing LF imaging diagnosis and deep learning algorithms for bubble measurements in an air-water two-phase flow, offering a significant improvement over traditional methods.…”
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THE RELIABILITY OF DETERMINING THE SHORT CIRCUIT ZONE OF THE LINES OF 6–35 kV by F. А. Romaniuk, E. V. Buloichyk, O. A. Huryanchyk, V. S. Kachenya

“…Having taken the relative simpleness of the current protection into account the authors consider the unilateral remote method of accounting the parameters of the emergency mode and the type of fault to be the most suitable for the implementation of the algorithm of its functioning as compared with the existing methods of fault location. …”
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