GEOGRAPHICALLY WEIGHTED MACHINE LEARNING MODEL FOR ADDRESSING SPATIAL HETEROGENEITY OF PUBLIC HEALTH DEVELOPMENT INDEX IN JAVA ISLAND by Muhammad Azis Suprayogi, Bagus Sartono, Khairil Anwar Notodiputro

“…Random Forest (RF) machine learning models have emerged as a prominent algorithm, addressing problems arising from the sole use of decision trees, such as overfitting and instability. …”
Get full text

Precise power flow control of transmission corridors using an integrated HELM-SAC method by Huimin Gao, Yi Lu, Ruisheng Diao, Jing Zhang, Tu Lan, Anqi Wang, Ke Sun

“…However, it usually requires operators’ manual intervention, and in certain circumstances, power flow calculation may not converge in real-time, affecting the control performance. …”
Get full text

Prediction of Neoadjuvant Chemoradiotherapy Sensitivity in Patients With Esophageal Squamous Cell Carcinoma Using CT-Based Radiomics Combined With Clinical Features by Xindi Li, Jigang Dong, Baosheng Li, Ouyang Aimei, Yahong Sun, Xia Wu, Wenjuan Liu, Ruobing Li, Zhongyuan Li, Yu Yang

“…Results: Nine optimal radiomics features were selected using the LASSO algorithm. The support vector machine (SVM) classifier was identified as having the best predictive performance. …”
Get full text

Rapid global fitting of large fluorescence lifetime imaging microscopy datasets. by Sean C Warren, Anca Margineanu, Dominic Alibhai, Douglas J Kelly, Clifford Talbot, Yuriy Alexandrov, Ian Munro, Matilda Katan, Chris Dunsby, Paul M W French

“…A software package implementing this algorithm, FLIMfit, is available under an open source licence through the Open Microscopy Environment.…”
Get full text

Modeling Collective Behavior for Fish School With Deep Q-Networks by Pengyu Chen, Fang Wang, Shuo Liu, Yifan Yu, Shengzhi Yue, Yanan Song, Yuanshan Lin

“…Traditional rule-based modeling methods rely heavily on human prior knowledge and may not provide a proper explanation of the phenomenon of collective behaviors. …”
Get full text

FedACT: An adaptive chained training approach for federated learning in computing power networks by Min Wei, Qianying Zhao, Bo Lei, Yizhuo Cai, Yushun Zhang, Xing Zhang, Wenbo Wang

“…Second, we propose a Genetic-Algorithm-based Sorting (GAS) method to optimize the order of clients participating in training. …”
Get full text

Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging by Shivam Gangwar, Reeta Devi, Nor Ashidi Mat Isa

“…Abstract In medical imaging, low-contrast chest X-ray (CXR) images may fail to provide adequate information for accurate visual interpretation and disease diagnosis. …”
Get full text

Better care for children with appendicitis: implementation of antibiotic stewardship optimizes postoperative therapy by Beltz, Sebastian, Fischer, Stephanie, Huenger, Frank, Vahdad, Reza, Kalhoff, Hermann, Leutner, Andreas

“…Conclusion: The implementation of SOP based on the principles of ABS positively influenced the quality of treatment after pediatric appendectomy. The algorithm developed in this study may help pediatric surgeons to improve their antimicrobial assessment.…”
Get full text

Parameter estimation and speed control of real DC motor with low resolution encoder by Celal Onur Gökçe, Mahmut Esat İpek, Mehmet Dayıoğlu, Rıdvan Ünal

“…For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. …”
Get full text

Integrated Vehicle-to-Building and Vehicle-to-Home Services for Residential and Worksite Microgrids by Andrea Bonfiglio, Manuela Minetti, Riccardo Loggia, Lorenzo Frattale Mascioli, Andrea Golino, Cristina Moscatiello, Luigi Martirano

“…In particular, this paper describes the coordination between a battery management algorithm that optimally assigns its capacity so that at least a part is reserved for mobility and a vehicle-to-building (V2B) service algorithm that uses a share of EV battery energy to improve user participation in renewable energy exploitation at home and at work. …”
Get full text

Guideline for the use of therapeutic drug monitoring of antipsychotics to individualize the selection of therapy in the treatment of exacerbation of schizophrenia by S. S. Potanin, M. M. Morozova, A. G. Beniashvili, D. S. Burminskiy, I. I. Miroshnichenko

“…According to the results obtained, TDM is strongly recommended for clozapine, olanzapine and amisulpride, recommended for risperidone, paliperidone, aripiprazole, quetiapine, haloperidol, ziprasidone, perphenazine, sertindole, trifluoperazine, sulpiride and chlorpromazine, for other antipsychotics TDM may be useful in selected cases. A detailed decision-making algorithm is presented in the form of a table and is based on both the clinical situation and the results of TDM AP. …”
Get full text

Enhancing acute leukemia classification through hybrid fuzzy C means and random forest methods by K. Lakshmi Narayanan, R. Santhana Krishnan, Y. Harold Robinson, S. Vimal, Tarik A. Rashid, Chetna Kausha, Md. Mehedi Hassan

“…If this is not diagnosed in the earlier stage, it may start to affect the function of the internal organs and cause death. …”
Get full text

Pan-tropical daily L-band microwave land surface emissivity retrieval from GNSS-R observations by Yifan Zhu, Fei Guo, Xiaohong Zhang, Wentao Yang

“…Furthermore, on the test set from January 2019 to May 2019, the RMSE values amounted to 0.030 and 0.023 for horizontal and vertical polarization, respectively. …”
Get full text

Nonalcoholic Fatty Liver Disease: Different Classifications Concordance and Relationship between Degrees of Morphological Features and Spectrum of the Disease by Juliana Maya Monteiro, Geysa Maya Monteiro, Adriana Caroli-Bottino, Vera Lucia Pannain

“…Among the 22 biopsies with NAS 3-4, 72.7% showed to be NASH according to Bedossa’s algorithm. The degree of steatosis, ballooning, lobular inflammation, and fibrosis stage were correlated with NASH (P<0.001). …”
Get full text

A Fast and Fine‐Resolution Location Method for Lightning Channels Based on Time Series Segmented Feature of Low Frequency Signal by Jingxuan Wang, Yang Zhang, Yanfeng Fan, Yijun Zhang, Dong Zheng, Weitao Lyu

“…To achieve lightning channel location based on feature matching, a new location algorithm is proposed by utilizing time series segmented feature to match lightning pulses. …”
Get full text

Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study by Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini

“…In addition, the proposed algorithm is also able to make a selection of the most significant features in separating clusters by considering trajectories over time. …”
Get full text

Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes. by Nishanthi Periyathambi, Durga Parkhi, Yonas Ghebremichael-Weldeselassie, Vinod Patel, Nithya Sukumar, Rahul Siddharthan, Leelavati Narlikar, Ponnusamy Saravanan

“…<h4>Objective</h4>The aim of the present study was to identify the factors associated with non-attendance of immediate postpartum glucose test using a machine learning algorithm following gestational diabetes mellitus (GDM) pregnancy.…”
Get full text

Personalised Affective Classification Through Enhanced EEG Signal Analysis by Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

“…This overlooks individual differences and may not accurately capture the unique emotional patterns of each person.Methods This study explored the performance of six machine learning algorithms in classifying a benchmark EEG dataset (collected with a MUSE device) for affective research. …”
Get full text

Activation-induced cytidine deaminase (AID)-associated multigene signature to assess impact of AID in etiology of diseases with inflammatory component. by Diana Mechtcheriakova, Yury Sobanov, Gabriele Holtappels, Erika Bajna, Martin Svoboda, Markus Jaritz, Claus Bachert, Erika Jensen-Jarolim

“…Functionally active AID can additionally be detected within ectopic follicular structures developed at sites of chronic inflammation. Furthermore, AID may target non-Ig genes in B- and non-B-cell background. …”
Get full text

Automatic Registration and Error Detection of Multiple Slices Using Landmarks by Hans Frimmel, Lars Egevad, Christer Busch, Ewert Bengtsson

“…The method uses a standard algorithm to optimize the prostate slice positions. …”
Get full text