Historical Reconstruction of Astronaut Cancer Risk: Context for Recent Solar Minima by Tony C. Slaba

“…To provide additional context for this level of variation, two different nuclear interaction models are used within the radiation transport algorithms used to propagate GCR ions and secondary particles through shielding and tissue. …”
Get full text

Internal Clock Drift Estimation in Computer Clusters by Hicham Marouani, Michel R. Dagenais

“…Yet, even at a precision of one cycle in ten millions, clocks may drift significantly in a single second at a clock frequency of several GHz. …”
Get full text

An Optimized Hybrid PSO-ELM for Parkinson’s Disease Diagnosis by Gunakala Archana, Afzal Hussain Shahid

“…Therefore, the PSO-ELM model may be used as a highly accurate and efficient tool for PD diagnosis.…”
Get full text

Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches by Taghreed Bagies

“…However, requirements are written in a natural language and may suffer from ambiguity and inconsistency, which makes it harder to distinguish between different security dimensions. …”
Get full text

Assortment and promotion optimization in a retail chain by Hamed Karimi

“…Small- and medium-sized problems can therefore be solved using MIP solver software. Firefly algorithms are designed to solve large-scale problems. …”
Get full text

Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis by Min Cao, Zhenhu Zhang, Qian Liu, Yuda Zhang

“…Materials and Methods: Gene Expression Omnibus (GEO) datasets GSE68004 and GSE73461 were downloaded, and the differentially expressed genes (DGEs) were taken, along with DEGs enrichment analysis and protein interaction network. Finally, five algorithms in CytoHubba plug-in were applied to obtain hub genes. …”
Get full text

Efficient MPS representations and quantum circuits from the Fourier modes of classical image data by Bernhard Jobst, Kevin Shen, Carlos A. Riofrío, Elvira Shishenina, Frank Pollmann

“…Applying quantum machine learning algorithms to classical data can have many important applications, as qubits allow for dealing with exponentially more data than classical bits. …”
Get full text

Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors by Talha Khan, Shaheer Ahmed, Syed Safdar Ali Rizvi, Sadique Ahmad, Nitasha Khan

“…Moreover, Artificial Intelligence (AI) based predictive or classification algorithms may be applied for the best optimal results.   …”
Get full text

A Complex Network of MicroRNAs Expressed in Brain and Genes Associated with Amyotrophic Lateral Sclerosis by Santosh Shinde, Neelima Arora, Utpal Bhadra

“…The intrinsic network of miRNAs expressed in nervous system and genes associated with ALS may provide rapid and effective outcome for therapeutic applications and diagnosis.…”
Get full text

FORECASTING STOCK MARKET LIQUIDITY WITH MACHINE LEARNING: AN EMPIRICAL EVALUATION IN THE GERMAN MARKET by Bogdan Ionut ANGHEL

“…The study benchmarks four machine-learning algorithms— Random Forest, XGBoost, CatBoost and Long Short-Term Memory (LSTM) networks—for forecasting stock market liquidity in Germany’s DAX equity market. …”
Get full text

Correlations between blood group and Rh factor in families and autism spectrum disorder: A comprehensive analysis by Adil Abdul-Rehman Siddiq Al-Salihy

“…Using chi-square tests, logistic regression analysis, and machine learning algorithms, the findings revealed that the O + blood group was the most prevalent across all groups. …”
Get full text

Effects of neighborhood streetscape on the single-family housing price: Focusing on nonlinear and interaction effects using interpretable machine learning. by Jaewon Han, Ayoung Woo, Sugie Lee

“…Previous studies using the conventional Hedonic Price Model to predict existing housing prices may have limitations in addressing the relationship between house prices and streetscapes as visually perceived at the human eye level, due to the constraints of streetscape estimations. …”
Get full text

ENERGY SAVING IN EXTRACTIVE DISTILLATION by E. A. Anokhina

“…The classic ED flowsheets and ED flowsheets with partly coupled thermally and material flows (PTCDS). Algorithms are described for synthesis of flowsheets manifold based on the graph theory. …”
Get full text

Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy by Dilber Uzun Ozsahin, Natacha Usanase, Ilker Ozsahin

“…Simultaneously, AI algorithms may also be used to forecast the duration of survival, the likelihood of recurrence, the cancer metastasis, and the response to treatment, all of which can impact the prognosis. …”
Get full text

Evaluation of the ecological niche model approach in spatial conservation prioritization. by Fumiko Ishihama, Akio Takenaka, Hiroyuki Yokomizo, Taku Kadoya

“…We evaluated three ENM algorithms (GLM, GAM, and random forests). We used virtual community data generated by simulation for the evaluation. …”
Get full text

AI in biomedical research: unleashing the potential of a transformative partnership by Zeba Haque, Farina Hanif, Muhammad Owais

“…It has been claimed that it may elude even the most astute human minds1 in some areas of social sciences. …”
Get full text

Metrics and Science Monograph Collections at the Marston Science Library, University of Florida. by Michelle F. Leonard, Stephanie C. Haas, Vernon N. Kisling

“…While data collection techniques are still not standardized and results may be skewed because of granularity problems, faulty algorithms, and a host of other factors, useful baseline data is extractable and broad trends can be identified. …”
Get full text

Automated Search-Based Robustness Testing for Autonomous Vehicle Software by Kevin M. Betts, Mikel D. Petty

“…Two different search-based testing methods, genetic algorithms and surrogate-based optimization, were used to generate test cases for a simulated unmanned aerial vehicle attempting to fly through an entryway. …”
Get full text

Fault detection in electrical power systems using attention-GRU-based fault classifier (AGFC-Net) by Deepen Khandelwal, Prateek Anand, Mayukh Ray, Sangeetha R. G.

“…Faults that go unnoticed may result in disastrous failures as well as prohibitive downtimes in industries as varied as healthcare, manufacturing, and autonomous functioning. …”
Get full text

Defect detection and localization in hydrogen pipelinesusing acoustic emission technique by Zi Wen Tham, Santhakumar Sampath, Lei Zhang

“…Over time, potential defects such as hydrogen embrittlement-induced cracks, weld defects, and leakages may occur along pipelines stretched across long distances. …”
Get full text