Machine learning-based investigation of the cancer protein secretory pathway. by Rasool Saghaleyni, Azam Sheikh Muhammad, Pramod Bangalore, Jens Nielsen, Jonathan L Robinson

“…Eight different machine learning algorithms were included in the analysis to enable comparison between methods and to focus on signals that were robust to algorithm type. …”
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An Enhanced ZigBee-Based Indoor Localization Method Using Multi-Stage RSSI Filtering and LQI-Aware MLE by Jianming Li, Shuyan Yu, Zhe Wei, Zhanpeng Zhou

“…These results suggest that the proposed method may offer a feasible solution for resource-constrained localization applications requiring robustness to signal degradation.…”
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Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks by Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang

“…Additionally, the complete reliance on automated processes without integrating human expertise in feature selection and weighting processes may affect the reliability of detection models. …”
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Q-learning with temporal memory to navigate turbulence by Marco Rando, Martin James, Alessandro Verri, Lorenzo Rosasco, Agnese Seminara

“…We develop a reinforcement learning algorithm using a small set of interpretable olfactory states and train it with realistic turbulent odor cues. …”
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Do we need to pay technical debt in blockchain software systems? by Yubin Qu, Tie Bao, Xiang Chen, Long Li, Xianzhen Dou, Meng Yuan, Hongmei Wang

“…For blockchain software systems, framework developers may introduce technical debts that application developers are not aware of. …”
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Qualitative insights into planning implementation of FeNO-guided asthma management in primary care by G. Lewis, K. Morton, M. Santillo, L. Yardley, K. Wang, B. Ainsworth, S. Tonkin-Crine

“…A randomised controlled trial (RCT) is investigating whether an intervention, including FeNO testing and a clinical algorithm, improves outcomes for patients with asthma. …”
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Hierarchical Modeling and Analysis of an International Conflict Based on Hesitant Fuzzy Linguistic Term Sets by Junji Hao, Bingfeng Ge, Yuming Huang, Zeqiang Hou, Tianjiao Yang, Wanying Wei

“…Building upon hesitant fuzzy linguistic preference, four distinct types of hesitant fuzzy stability definitions of the two-level hierarchical graph model for conflict resolution (HGMCR) are extended, and a corresponding algorithm is developed to solve the global conflict hesitant fuzzy equilibrium states. …”
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A THREE-TERM CONJUGATE GRADIENT METHOD FOR LARGE-SCALE MINIMIZATION IN ARTIFICIAL NEURAL NETWORKS by Umar A Omesa, Muhammad Y. Waziri, Issam A. R. Moghrabi, Sulaiman M. Ibrahim, Gudu E B, Fakai S L, Rabiu Bashir Yunus, Elissa Nadia Madi

“…However, standard CG methods may not always guarantee sufficient descent condition, which can impact their robustness and convergence behavior. …”
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Dedicated hardware architecture for localizing iris in VW images by Vineet Kumar, Abhijit Asati, Anu Gupta

“…This hardware implementation gives an iris localization accuracy of 98.43% and average processing time of 5.148 ms for UBIRIS.v1 VW database images (200 × 150 pixel). The algorithm used is suitable for less unconstrained and frontal-view iris images captured with subjects’ active participation; however, the images may contain non-ideal issues such as reflection and occlusion by eyelids and eyelashes.…”
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Theoretical and computational investigations on estimation of viscosity of ionic liquids for green adsorbent: Effect of temperature and composition by Zhaoxiong Han

“…The models are optimized using the Whale Optimization Algorithm (WOA) to fine-tune hyperparameters, enhancing their predictive performance. …”
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On the movement of atmospheric blocking systems and the associated temperature responses by J. van Mourik, J. van Mourik, J. van Mourik, H. de Vries, M. Baatsen

“…Further research is warranted to explore regional differences in blocking behaviour and impact, as well as how atmospheric blocking and associated temperature anomalies may evolve under future climate conditions.</p>…”
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A prediction model based on cfDNA concentration and cfDNA methylation biomarkers for lung cancer detection by Li Ke, Xiang Huang, Wenting Liu, Bo Hong, Hongzhi Wang, Jian Qi, Yannan Chu

“…The LASSO and Boruta algorithms were then used to select the best performing variables, and a lung cancer prediction model was constructed using the generalized linear models (GLMs) algorithm. …”
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The impact of presentation modes on mental rotation processing: a comparative analysis of eye movements and performance by Philipp Stark, Efe Bozkir, Weronika Sójka, Markus Huff, Enkelejda Kasneci, Richard Göllner

“…Supplementary Shapley values of a Gradient Boosting Decision Tree algorithm were analyzed, which correctly classified the two conditions using eye and head movements. …”
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Bayesian Computation Methods for Inference in Stochastic Kinetic Models by Eugenia Koblents, Inés P. Mariño, Joaquín Míguez

“…For example, the nonlinear population Monte Carlo (NPMC) algorithm has yielded promising results with a low dimensional SKM (the classical predator-prey model). …”
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Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning by Hong Chen, Dan Huang, Chenggang Wang, Lu Ding, Lei Song, Hongtao Liu

“…However, it usually requires exploring a sufficient number of state–action pairs, some of which may be unsafe when deployed in practical obstacle environments. …”
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A predictive model of cognitive impairment in Parkinson's disease based on multivariate logistic regression by BA Mengru, YIN Xiaohong, LI Shaoyuan

“…First, the least absolute shrinkage and selection operator (LASSO) algorithm was applied to analyze the risk factors that may affect the cognitive ability of patients, and the clinical variables with high correlation were screened out. …”
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Dummy eye measurements of microsaccades: Testing the influence of system noise and head movements on microsaccade detection in a popular video-based eye tracker by Frouke Hermens

“…A third experiment examines whether past results may have been affected by possible incorrect detections due to small head movements. …”
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Radioembolization for neuroendocrine tumors: procedure, application and clinical outcomes by Li Shen Ho, Tarik Baetens, Marnix G E H Lam, Arthur J A T Braat

“…These liver-directed therapies have gained interest over the past decade, but their placement in the treatment algorithm of neuroendocrine liver metastases remains largely unclear. …”
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3D Volumetric Strain Distribution of the Cerro Prieto Geothermal Field Inferred From Inverse Modeling of InSAR and Leveling Data by Luis A. Gallardo, Olga Sarychikhina, Ewa Glowacka, Braulio Robles

“…Whereas the combined use of high‐resolution InSAR, leveling and GPS data may enable highly detailed three‐dimensional deformation models, publicly available modeling and inversion algorithms either seek a single homogeneously deformed source or involve a few thousand modeling elements. …”
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Clusters from chronic conditions in the Danish adult population. by Anders Stockmarr, Anne Frølich

“…Yet the structure of chronic conditions in individuals with multimorbidity, viewed as a population, is largely unmapped. We use algorithmic diagnoses and the K-means algorithm to cluster the entire 2015 Danish multimorbidity population into 5 clusters. …”
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