Fast, super‐resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing by Lv Mingjiu, Ma Lei, Ma Jianchao, Chen Wenfeng, Yang Jun, Ma Xiaoyan, Cheng Qi

“…Second, to improve the resolution and reduce the computational burden significantly, a locally convergent iterative algorithm based on the alternating direction method of multipliers, which iteratively performs ANM with a sound reweighting strategy, is implemented. …”
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A Novel Method for Economic Dispatch with Across Neighborhood Search: A Case Study in a Provincial Power Grid, China by Guojiang Xiong, Jing Zhang, Xufeng Yuan, Dongyuan Shi, Yu He, Yao Yao, Gonggui Chen

“…In order to effectively solve the problem, a simple yet very young and efficient population-based algorithm named across neighborhood search (ANS) is implemented in this paper. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the model training stage, taking into account the latent features of the converter impedance model, a neural network with the same number as the disturbance frequency was designed, and the Levenberg-Marquardt algorithm with Bayesian regularization integrated is used to enhance the generalization ability of the network trained with a small dataset. …”
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Is CT pulmonary angiography overutilized in the evaluation of patients with suspected pulmonary embolism? A retrospective study by Rabbani Mahmoud Daoud, Ahmed Majeed Mohamed, Muath Salahuddin Almajthoob, Salim Fredericks, Israa ElSayed Daoud, Moath Mahmoud Daoud, Mahmood AlSaeed

“…We propose integrating an algorithm-based checklist with validated tools like the Wells and Geneva scores into the ePMA system to guide appropriate CTPA referrals, promote evidence-based decision-making, reduce unnecessary imaging, and optimize patient care and resource use.…”
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Immediate versus Delayed Wound Closure in Hidradenitis Suppurativa Surgery: A Comparative Outcomes Study by Ehud Fliss, Gon Shoham, Tariq Zoabi, Ariela Hafner, Benjamin Meilik, Sharon Manheim, Daniel J. Kedar, Yoav Barnea, Eyal Gur, Eran Otremski

“…To date, there is no consensus regarding the most appropriate reconstructive algorithm.…”
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Synthetic data as external control arms in scarce single-arm clinical trials. by Severin Elvatun, Daan Knoors, Simon Brant, Christian Jonasson, Jan F Nygård

“…Moreover, the generator algorithms demonstrate the ability to generate synthetic data of high utility without compromising the confidentiality of the empirical data. …”
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Computer analysis shows differences between mitochondrial miRNAs and other miRNAs by P. S. Vorozheykin, I. I. Titov

“…To identify the most pronounced characteristics of mitochondrial miRNAs that distinguish them from other miRNAs, we classified mitomiR sequences using the Random Forest algorithm. The analysis revealed, for the first time, a significant difference between mitomiRs and other microRNAs by the following criteria (in descending order of importance in the classification): mitomiRs are evolutionarily older (have a lower phylostratigraphic age index, PAI); have more targets and disease associations, including mitochondrial ones (twosided Fisher’s exact test, average p-values 1.82×10–89/1.13×10–96 for all mRNA/diseases and 6.01×10–22/1.09×10–9 for mitochondria, respectively); and are in the class of “circulating” miRNAs (average pvalue 1.20×10–56). …”
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SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering. by Mario Grassi, Barbara Tarantino

“…Besides its superior disease predictive performance compared to previous research, SEMdag() offers the user the flexibility to define distinct structure learning algorithms and can handle high dimensional issues with less computing load. …”
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Advanced Imaging Modalities in the Detection of Cerebral Vasospasm by Jena N. Mills, Vivek Mehta, Jonathan Russin, Arun P. Amar, Anandh Rajamohan, William J. Mack

“…However, a single test or algorithm with broad efficacy remains elusive. This paper examines both anatomical and physiological imaging modalities applicable to post-SAH vasospasm and offers a historical background. …”
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A New Density Model of Quartz Solubility in H2O-CO2-NaCl Ternary Systems up to High Temperatures and High Pressures by Weiping Deng, Qing Wei, Xuan Liu

“…In addition, a bisection algorithm for deriving the isopleths of quartz solubilities based on this new model is first proposed, and application perspectives are discussed for various geologic settings including subduction zone, lower crust-upper mantle, migmatite, pegmatite, porphyry, and orogenic deposits.…”
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Application of Probabilistic and Nonprobabilistic Hybrid Reliability Analysis Based on Dynamic Substructural Extremum Response Surface Decoupling Method for a Blisk of the Aeroengi... by Bin Bai, Wei Zhang, Botong Li, Chao Li, Guangchen Bai

“…Tuned and mistuned blisks are studied in a complicated environment, and the results are compared with the Monte Carlo method (MCM) and the multilevel nested algorithm (MLNA) to verify that the hybrid model can better handle reliability problems concurrently containing random variables and interval variables; meanwhile, it manifests that the computational efficiency of this method is superior and more reasonable for analysing and designing a mistuned blisk. …”
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Nondestructive Testing on Ancient Wooden Components Based on Shapley Value by Li-hong Chang, Xiao-hong Chang, Hao Chang, Wei Qian, Li-ting Cheng, Xiao-li Han

“…By distributing the errors from the two nondestructive testing methods on the basis of a Shapley value algorithm, we determined the weights of stress wave and impedance meter data in the forecasting models and established combined forecasting models that showed greater accuracy with a mean relative error of less than 6%. …”
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IC-GraF: An Improved Clustering with Graph-Embedding-Based Features for Software Defect Prediction by Xuanye Wang, Lu Lu, Qingyan Tian, Haishan Lin

“…Finally, a heuristic-based k-means clustering algorithm is employed to classify the features generated by IDGI. …”
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Real-Time Respiratory Monitoring Using a Sparse-Sampled Frequency-Scanning White-Light Interferometry System by Wenyan Liu, Cheng Qian, Kexin Li, Yiping Wang, Xiaoyan Cai, Qiang Liu

“…A four-step phase-shifting algorithm (PSA) ensures precise phase demodulation, enabling high sensitivity for short-cavity fiber-optic sensors under constrained spectral bandwidth conditions. …”
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Design of an Underwater Acoustic Waveform and Integrated System for Communication and Detection by Tingting Lv, Qizheng Tian, Yang Wang, Jiyuan Wang, Jiaqi Cui, Yan Zhang, Yuhan Yao, Thomas Aaron Gulliver

“…A symbol suffix (SS) is introduced into the signal frame at the transmitter and a two-step algorithm is employed at the receiver for frequency and phase offset estimation. …”
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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

“…This paper focused on analyzing botnet traffic in an IoT environment using machine learning and deep learning classifiers: Decision tree classifier, Naïve Bayes, K nearest neighbor, Convolution neural network, Recurrent neural network, and Random Forest. We calculated each algorithm's Accuracy, True Positive, False Positive, False Negative, True Negative, Precision, and Recall. …”
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Quality-related and Quality-irrelevant Fault Detection and Diagnosis in Batch Fermentation Process Based on NSSAE by Zhong LIU, Zheng ZHANG, Xuyang LOU, Jinlin ZHU

“…Based on the results of numerical simulations and lactic acid bacteria batch fermentation experiments, the NSSAE algorithm proposed in this paper demonstrated the ability to accurately distinguish between quality-related and quality-irrelevant faults. …”
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A method for mining over-limit patterns of low voltage in users based on hierarchical affinity propagation clustering by SHEN Shuhao, ZHONG Qing, XU Zhong, WANG Gang, LI Haifeng, WANG Longjun

“…Firstly, large-scale voltage data is clustered into several clusters using the HAP clustering algorithm, and these clusters are regarded as the different over-limit patterns of low voltage. …”
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Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter by Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra

“…The DRF-FG showed robustness in trajectory tracking compared to the controllers based on the Ant Lion Optimizer (DRF-A) and the Whale Optimization Algorithm (DRF-W). DRF-FG improved the average regulation performance by 1.702% and trajectory tracking by 0.152% compared with DRF-G.…”
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Modelling and Estimation of Interior Orientation of Non-Metric Cameras using Artificial Intelligence by Hasanain A. Ajjah, Ahmed H H Alboabidallah, Mamoun U. Mohammed, Awesar A. Hussain

“…Optimization was performed by Utilizing the Simulated Annealing algorithm based on stereo calibration to obtain the best possible values of these parameters that produce the minimum RMS-reprojection error attained. …”
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