USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…Machine learning gives UAVs the ability to discern patterns and make predictions based on data, thus bypassing the need for pre-programmed instructions during autonomous flight. …”
Get full text

Integration of multi-omics profiling reveals an epigenetic-based molecular classification of lung adenocarcinoma: implications for drug sensitivity and immunotherapy response predi... by Ning Wang, Yinan Li, Yaoyao Wang, Wenting Wang

Get full text

Digital Twin-Based Framework for Real-Time Monitoring and Analysis of Urban Mobile-Source Emissions by Peter Zhivkov, Stefka Fidanova, Ivan Dimov

“…This study introduces a digital twin paradigm that uses both stationary and mobile sensors and cutting-edge machine learning for urban air quality monitoring. …”
Get full text

Fuzzy approaches provide improved spatial detection of coastal dune EU habitats by Emilia Pafumi, Claudia Angiolini, Giovanni Bacaro, Emanuele Fanfarillo, Tiberio Fiaschi, Duccio Rocchini, Simona Sarmati, Michele Torresani, Hannes Feilhauer, Simona Maccherini

Get full text

Identification of atrial fibrillation using heart rate variability: a meta-analysis by Ziwei Yin, Changxin Liu, Chenggong Xie, Zixing Nie, Jiaming Wei, Wen Zhang, Hao Liang

“…Recently, artificial intelligence (AI) algorithms have leveraged heart rate variability (HRV) patterns to enhance the accuracy of AF identification.MethodsWe conducted a systematic review of the literature by searching four major biomedical databases—PubMed, Web of Science, Embase, and Cochrane Library—spanning from their inception to December 13, 2024, following the PRISMA guidelines. …”
Get full text

Surface water mapping from remote sensing in Egypt’s dry season using an improved U-Net model with multi-scale information and attention mechanism by Yong Li, Xiuhui Liu, Vagner Ferreira, Heiko Balzter, Huiyu Zhou, Ying Ge, Meiyun Lai, Simin Chu, Han Ding, Zhenrong Gu

“…During dry seasons, Egyptian water bodies exhibit unique challenges for remote sensing detection due to their significant spectral differences, complex morphological patterns, and numerous small streams. However, existing water detection methods face challenges in accurately identifying water bodies with high spatial and spectral variability, especially in arid regions during dry seasons. …”
Get full text

Transcriptomic signatures of severe acute mountain sickness during rapid ascent to 4,300 m by Ruoting Yang, Aarti Gautam, Rasha Hammamieh, Robert C. Roach, Beth A. Beidleman

Get full text

Explaining drivers of housing prices with nonlinear hedonic regressions by Heng Wan, Pranab K. Roy Chowdhury, Jim Yoon, Parin Bhaduri, Vivek Srikrishnan, David Judi, Brent Daniel

“…In this study, we employ interpretable ML to analyze the patterns driving the housing market in Baltimore, Maryland, USA. …”
Get full text

Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

“…The primary objective of this study was to evaluate the predictive accuracy and efficacy of both models in replicating complex traffic patterns and to provide insights into their suitability for real-time traffic flow applications. …”
Get full text

A century of Sudd wetland’s water storage dynamics using reconstructed and downscaled GRACE/GRACE-FO Data by Dinuka Kudagama, Joseph Awange, Jielong Wang, Ayalsew Zerihun, Leidy Luna

Get full text

New Forecasting Metrics Evaluated in Prophet, Random Forest, and Long Short-Term Memory Models for Load Forecasting by Prajowal Manandhar, Hasan Rafiq, Edwin Rodriguez-Ubinas, Themis Palpanas

Get full text

Identification of gene signatures and potential pharmaceutical candidates linked to COVID-19-related depression based on gene expression profiles by Shaojun Chen, Yiyuan Luo, Lihua Zhang

“…Finally, molecular dynamics (MD) simulations were conducted to investigate the binding interactions between molecules and the target proteins.ResultsWe uncovered 60 DEGs that overlapped between the two datasets but exhibited distinct patterns of expression in each dataset. Subsequent machine learning analyses revealed EMILIN3, OPA3, and TFCP2 as potential shared hub genes underlying both diseases. …”
Get full text

Heart disease prediction using autoencoder and DenseNet architecture by Norah Saleh Alghamdi, Mohammed Zakariah, Achyut Shankar, Wattana Viriyasitavat

Get full text

Smart medical report: efficient detection of common and rare diseases on common blood tests by Ákos Németh, Ákos Németh, Gábor Tóth, Péter Fülöp, György Paragh, Bíborka Nádró, Zsolt Karányi, György Paragh, Zsolt Horváth, Zsolt Csernák, Zsolt Csernák, Erzsébet Pintér, Erzsébet Pintér, Dániel Sándor, Dániel Sándor, Gábor Bagyó, István Édes, János Kappelmayer, Mariann Harangi, Bálint Daróczy, Bálint Daróczy

Get full text

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation by Bo Peng, Xuyu Xiang, Han Tian, Kaiqiang Xu, Quan Zhuang, Junhui Li, Pengpeng Zhang, Yi Zhu, Min Yang, Jia Liu, Yujun Zhao, Ke Cheng, Yingzi Ming

Get full text

Climate Warming-Induced Hydrological Regime Shifts in Cold Northeast Asia: Insights from the Heilongjiang-Amur River Basin by Jiaoyang Li, Ruixin Wang, Qiwei Huang, Jun Xia, Ping Wang, Yuanhao Fang, Vladimir V. Shamov, Natalia L. Frolova, Dunxian She

“…Missing daily runoff data were reconstructed using three machine learning methods: Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), and Convolutional Long Short-Term Memory Networks (CNN-LSTM). …”
Get full text

Color QR Codes for Smartphone-Based Analysis of Free Chlorine in Drinking Water by María González-Gómez, Ismael Benito-Altamirano, Hanna Lizarzaburu-Aguilar, David Martínez-Carpena, Joan Daniel Prades, Cristian Fàbrega

“…QR Codes are powerful machine-readable patterns that are used worldwide to encode information (i.e., URLs or IDs), but their computer vision features allow QR Codes to act as carriers of other features for several applications. …”
Get full text

Identification of Exosome-Associated Biomarkers in Diabetic Foot Ulcers: A Bioinformatics Analysis and Experimental Validation by Tianbo Li, Lei Gao, Jiangning Wang

“…This was followed by GO/KEGG analyses and a PPI network construction. Support vector machine–recursive feature elimination (SVM-RFE) and the Boruta random forest algorithm distilled five biomarkers (DIS3L, EXOSC7, SDC1, STX11, SYT17). …”
Get full text

Simulation of Net Ecosystem Carbon Flux in Rice Planting Area of Yangtze River Delta based on Multi-layer Perceptron Model by Wenyang XI, Jianjun HE, Zhilin WANG, Lifeng GUO, Yarong LI

Get full text

Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…In this context, we present a machine-learning model based on a feedforward neural network for the rapid and accurate classification of SERS spectra. …”
Get full text