ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR by Martin Ruzek

“…The search for a compromise between the complexity of biological neural network and the practical feasibility of the artificial network led to a new learning algorithm. This algorithm is based on the classical multilayered neural network; however, the learning rule is different. …”
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A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization by Wei Nai, Zan Yang, Daxuan Lin, Dan Li, Yidan Xing

“…Deep reinforcement learning (DRL), as a state-of-the-art solution method in vehicle path planning, can better balance the ability and complexity of the algorithm to reflect the real situation. However, DRL has its own disadvantages of higher search cost and earlier convergence to the local optimum, as vehicle path planning issues are usually in a complex environment, and their action set can be diverse. …”
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KF-NIPT: K-mer and fetal fraction-based estimation of chromosomal anomaly from NIPT data by Dongin Kim, Ji Yeon Sohn, Jin Hee Cho, Ji-Hye Choi, Gwi-young Oh, Hyun Goo Woo

“…Results We developed a KF-NIPT, a new algorithm that estimate chromosomal anomaly by calculating K-mer-based sequence depth and fetal fraction from the whole genome sequencing (WGS) data. …”
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Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles by Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI

“…Finally, on the basis of the maps of two real lakes—Lake Xiangdao (Huangshi ) and Lake Qiandao ( Hangzhou)，the experiments are conducted to compare the effects of path planning using the proposed algorithm with that of other algorithms, i.e. traditional ACO, A* algorithm and improved ACO algorithm.ResultsThe results indicate that the proposed algorithm has the shortest planning paths, which is 61.71% shorter than that of the traditional ACO algorithm, the farthest distance from obstacles, and the smallest tortuosity. …”
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On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C... by Mohsen Qutbi

“…Background: It is desirable to iterate the maximum likelihood expectation–maximization (MLEM) algorithm to the point of convergence to obtain the optimal result. …”
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Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms by Xin Liu, Dichen Wang, Mingming Guo, Xingyi Zhang, Zhuoxin Chen, Zhaokai Wan, Jielin Liu

“…The GERM was realized by four machine learning algorithms including Random Forest (RF), XGBoost, K-Nearest Neighbor (KNN), and Multi-layer perceptron of artificial neural networks (ANN-MLP). …”
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Identification and validation of genes related to stem cells and telomere maintenance mechanisms as biomarkers for breast cancer by Shuang Zhen, Lifeng Huang, Qiannan Zhu, Rui Chen, Jue Wang, Xiaoming Zha

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Treatment of the Cirrhotic Patients Considering Portal Hypertension Severity Degree and Comorbid Syntropic Extrahepatic Lesions, their Complications: Modified Algorithm, its Effect... by Ferko M.

“…According to the results of our study, we can say that the improved algorithm for the treatment of patients with liver cirrhosis and a common methodology gives a positive result, but in terms of qualitative and quantitative indices, generally accepted medical complex is significantly inferior to modified by us algorithm. …”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Whole Slide Imaging (WSI) has emerged as a promising tool for developing and utilizing such algorithms in diagnostic and experimental pathology. …”
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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study by David Beyer, Evan Delancey, Logan McLeod

“…ConclusionsThis study demonstrates how accessible AutoML algorithms can readily be used in digital pathology to develop diagnostic AI models using whole-slide images. …”
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Detecting soil mixing, grain size distribution, and clogging potential of tunnel excavation face by classification-regression algorithms using EPBM operational data by Sharmin Sarna, Marte Gutierrez

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Energy Scheduling in a Hybrid DC/AC Micro-Grid Considering Battery/Wind/Photovoltaic Power Sources using Heuristic Optimization Algorithm by Javad Ebrahimi, Taher Niknam, Bahman Bahmanifirouzi

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New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm by Youngho Lim, Jaeyoung Kim, Gwantae Kim, Jungseok Choi

“…Methods A total of 48,298 pigs were grouped (A, B, C, D group) using the k-means algorithm, carcass weight and backfat thickness. The results of the grouping were used to classify Farm Management Grades (A, B, C, D grade). …”
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Preliminary evaluation of ShallowHRD performance compared to HRDetect in familial breast cancer tumors by Louise Adel Jensen, Caroline Hey Baekgaard, Mie Bohnensack Larsen, Susanne Eriksen Boonen, Anne Marie Bak Jylling, Zainab Hikmat, Qin Hao, Thomas van Overeem Hansen, Inge Søkilde Pedersen, Martin Jakob Larsen, Mads Thomassen

“…Data from shallow whole-genome sequencing (1-5X) on FFPE tissue and whole-genome sequencing (50X, and additionally downscaled to 5X) on fresh frozen tissue from 19 patients were analyzed using ShallowHRD and compared to the HRD-status attained by HRDetect using Receiver Operating Characteristic (ROC) curve analysis. …”
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Genetic testing enhances diagnosis in critically ill neonates: insights from the first Colombian cohort by Paula Rueda-Gaitán, Paula Rueda-Gaitán, Diego Alejandro Rodríguez Gutiérrez, Diego Alejandro Rodríguez Gutiérrez, Yuri Natalia Sanchez Rubio, Yina D. Carrillo, Leslie Ivonne Martínez de la Barrera, Néstor Nenroth Muñetones Reina, Mario Isaza-Ruget, Mario Isaza-Ruget, Juan Javier López Rivera, Juan Javier López Rivera, Juan Javier López Rivera

“…Symptoms were characterized using Human Phenotype Ontology (HPO) terms and analyzed with a propagation algorithm for improved accuracy.ResultsThe diagnostic yield was 30.5% for WES and 8% for aCGH. …”
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A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features by Nurhan Gürsel Özmen, Neslihan Baki

“…Parkinson's disease (PD) is a serious neurological disease that is threatening the whole world population. The devolution of the neurons located in the substanstia nigra of the brain causes, bradykinesia, rigidity and resting tremor, which are characteristic motor symptoms, occuring in advanced stages. …”
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OPTIMAL LOSSES IN POWER DISTRIBUTION NETWORKS by M. I. Fursanov

“…The developed structural algorithm of technical losses of electricity in network 0,38–10 kV allows evaluating actual and optimal network loading, to determine minimum and reserves of losses enhancement, but it can be realize only when loading of lines and transformers is low. …”
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Differential diagnosis of ovarian neoplasm using contrast-enhanced ultrasound (clinical case) by N. Е. Safonova, N. М. Podzolkova, V. В. Osadchev, K. V. Babkov, I. Е. Fadeev

“…That’s why an important task is to create optimal algorithms for diagnosing and routing patients in case of suspicion of an adnexal tumor. …”
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Prediction of bladder cancer prognosis and immune microenvironment assessment using machine learning and deep learning models by Weihao Nie, Yiheng Jiang, Luhan Yao, Xinqing Zhu, Abdullah Y. AL-Danakh, Wenlong Liu, Qiwei Chen, Deyong Yang

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SIMULATION ANALYSIS AND OPTIMIZATION OF AIR SUSPENSION SYSTEM OF A LIGHT COMMERCIAL VEHICLE (MT) by WANG Lei, HUANG ZhaoMing, LI HaiYu, CHEN Tian

“…Finally, the ride comfort of the whole vehicle under random and impulse input is optimized through the Co-simulation platform and NSGA-Ⅱ optimization algorithm. …”
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