Discussion of a Simple Method to Generate Descriptive Images Using Predictive ResNet Model Weights and Feature Maps for Recurrent Cervix Cancer by Destie Provenzano, Jeffrey Wang, Sharad Goyal, Yuan James Rao

“…These images also contained multiple MRI features not considered clinically relevant. Conclusion: This simple method was able to generate simulated MRI data that mimicked recurrent and non-recurrent cervix cancer tumor images. …”
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Algorithms of the Method of Statically Admissible Discontinuous Stress Fields (SADSF) – Part II: The Algorithms for Solving Limit Stress Fields Around Isolated Nodes of Stress Disc... by W. Bodaszewski

“…One consequently applies parametrisation of the yield conditions, which not only reduces the number of unknowns and leads to simple, recursive forms of the formulae, but, first of all, makes it possible to find the formulae for generation of domains, without which numerical solution of the fields and algorithmization of the method would not be possible at all.…”
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Wind Turbine Fault Identification in Sample Imbalance Scenarios Using FRBCS With GAN Oversampling and Metric Learning by Changsheng Kang, Xiaoyi Qian, Lixin Wang, Ziheng Dai, Shuai Guan, Yi Zhao, Wenyao Sun

“…The GAN oversampling algorithm is introduced to eliminate the imbalance of the actual samples, and the metric learning algorithm (MLA) is adopted to improve the separability of different fault samples of the FRBCS. 10 common faults of megawatt-level WTs are used to validate the effectiveness of the proposed method, the results show that the proposed method effectively improves fault identification accuracy in the presence of imbalanced fault samples.…”
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Features Image Matchingof SUＲF and ＲANSAC by WANG Wei-bing, BAI Xiao-ling, XU Qian

“…Aiming at the problem of long running time and low matching accuracy in image matching process， random sample consensus ( ＲANSAC) algorithm is used to optimize the speed-up of robust features ( SUＲF) optimization algorithm. …”
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Study on the Effect of Sampling Frequency on Power Quality Parameters in a Real Low-Voltage DC Microgrid by Juan J. Pérez-Aragüés, Miguel A. Oliván

“…For time series evaluation of mean and RMS voltage values, the Dynamic Time Warping (DTW) algorithm has been used. Additionally, the consequence of varying the sampling rate in voltage event detection has also been analysed. …”
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A food safety targeted sampling decision-making method based on association rule mining and GNNs by Jiabin Yu, Xinyue Ma, Xin Zhang, Xiaoyu Cui, Shuaixiang Chen, Zhiyao Zhao

“…Abstract To solve the problem of subjectivity and low targeting of task-assigned food safety sampling, in this study, a targeted sampling decision-making method for food safety was proposed. …”
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Design of a fully autonomous oil sampling collection robot system for substation oil-filled equipment by Shaotong Pei, Haichao Sun, Weiqi Wang, Bing Xiao, Hengjiang Zhu, Mianxiao Wu, Bo Lan

“…This paper proposes a fully autonomous oil sampling robot system for routine maintenance operations of oil-filled equipment within substations, aiming to enhance operational safety, sampling efficiency, and sample accuracy, while reducing manual operational costs. …”
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vPro-MS enables identification of human-pathogenic viruses from patient samples by untargeted proteomics by Marica Grossegesse, Fabian Horn, Andreas Kurth, Peter Lasch, Andreas Nitsche, Joerg Doellinger

“…A scoring algorithm (vProID score) is developed to assess the confidence of virus identification from proteomics data ( https://github.com/RKI-ZBS/vPro-MS ). …”
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Scanning SQUID microscope system for geological samples: further system improvements and development of post-processing software by Hirokuni Oda, Jun Kawai, Miki Kawabata, Naoto Fukuyo, Akihiro Tanimito, Isao Yosano, Chisato Anai

“…Abstract We developed a scanning superconducting quantum interference device (SQUID) microscope for imaging the magnetic field of geological samples in 2015 and have been continuously improving it. …”
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Optimizing energy storage and return of prosthetic feet: A biomechanical approach using advanced optimization techniques by Aphiwat Saemua, Supakit Rooppakhun

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A Mahalanobis Hyperellipsoidal Learning Machine Class Incremental Learning Algorithm by Yuping Qin, Hamid Reza Karimi, Dan Li, Shuxian Lun, Aihua Zhang

“…A Mahalanobis hyperellipsoidal learning machine class incremental learning algorithm is proposed. To each class sample, the hyperellipsoidal that encloses as many as possible and pushes the outlier samples away is trained in the feature space. …”
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A Novel SVPWM Algorithm for 3-phase 3-level Converter by LI Jianghong, HU Zhaowen, CHEN Huaguo, XU Wei

“…As for the three-phase three-level voltage source converter, a simple SVPWM algorithm based on the sector mapping for controlling three-level converter is proposed. …”
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Achieving Distributed Consensus in UWB Sensor Networks: A Low Sampling Rate Scheme with Quantized Measurements by Lorenzo Taponecco, Luca Sanguinetti

“…We focus on the class of the so-called quantized distributed consensus algorithms in which the local measurements or current states of each sensor belong to a finite set. …”
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Ensemblex: an accuracy-weighted ensemble genetic demultiplexing framework for population-scale scRNAseq sample pooling by Michael R. Fiorini, Saeid Amiri, Allison A. Dilliott, Cristine M. Yde Ohki, Lukasz Smigielski, Susanne Walitza, Edward A. Fon, Edna Grünblatt, Rhalena A. Thomas, Sali M. K. Farhan

“…Abstract Multiplexing samples from distinct individuals prior to sequencing is a promising step towards achieving population-scale single-cell RNA sequencing by reducing the restrictive costs of the technology. …”
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Small Sample Fiber Full State Diagnosis Based on Fuzzy Clustering and Improved ResNet Network by Xiangqun Li, Jiawen Liang, Jinyu Zhu, Shengping Shi, Fangyu Ding, Jianpeng Sun, Bo Liu

“…The improved model requires only a small amount of sample training to optimize the parameters of the GAP layer, thereby accommodating state diagnosis in scenarios with limited data availability. …”
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A Selective Harmonic Current Detection Algorithm Based on Quadrature Theory by LI Yu, LANG Fengjie, MA Zhe, WANG Xutao

“…Aiming at the harmonics current detection methods of power grid, a simple effective harmonics current detection algorithm was introduced based on quadrature theory,and its realization and optimization methods were given. …”
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Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

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PERFORMANCE COMPARISON OF CLASSICAL ALGORITHMS AND DEEP NEURAL NETWORKS FOR TUBERCULOSIS PREDICTION by Gilgen Mate Landry, Rodolphe Nsimba Malumba, Fiston Chrisnovi Balanganayi Kabutakapua, Bopatriciat Boluma Mangata

“…This study compares the performance of several classical machine learning algorithms and deep neural networks for the prediction of tuberculosis in the Democratic Republic of Congo (DRC), using a sample of 1000 cases including clinical and demographic data. …”
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Metaheuristics in Logistics: Increasing the Efficiency of Algorithms by Defining Appropriate Parameter Settings by Tamara J. Bíró, Péter Németh

“…In many cases, when applying a metaheuristic, it works properly with the variables of a given task and there is no specific interval where a given algorithm can still be effective. To increase efficiency and reduce costs, the authors defined a general parameter definition by applying the Ant Colony Optimization algorithm applicable to the simple Traveling Salesman Problem with the number of cities n=50, where for values of 30 = n = 50, the defined parameter setting structure can be properly applied based on the results. …”
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A BIT* algorithm with dilated vertices-based path stretching strategy by Xuanle Wu, Pu Li, Zhicheng Hou

“…In addition, DS-BIT* performs bidirectional improvement of the final path at the end of the algorithm, further reducing the final path cost. Comparative experiments with RRT*, Informed RRT*, and BIT* in both simple and complex environments demonstrate the superior performance of DS-BIT* in terms of planning efficiency and path quality.…”
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