Conversion to Variable Flow Rate—Advanced Control of a District Heating (DH) System with a Focus on Operational Data by Stanislav Chicherin

“…These findings demonstrate that flexible, data-driven DH control is a feasible and sustainable alternative for aging networks in cold-climate regions.…”
Get full text

Exploring Solar Granulation: from IMaX/SUNRISE to DKIST by Reza Mansouri, Rafal Angryk, Kevin Reardon

Get full text

Feature engineering on climate data with machine learning to understand time-lagging effects in pasture yield predictionGitHub by Thirunavukarasu Balasubramaniam, Wathsala Anupama Mohotti, Kenneth Sabir, Richi Nayak

“…Utilizing remote sensing and climate data, covering 196 farms (and 6885 paddocks) across Australia, we applied several machine learning techniques, including XGBoost, random forest, linear regression, deep neural networks, stacking, and bootstrapping. …”
Get full text

Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…Abstract This research proposes using a Convolutional Neural Network (CNN) with VGGNet-19 and ResNet-50 architectures for COVID-19 diagnosis through chest X-ray image analysis. …”
Get full text

Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings by Tan Lyu, Miao Ye, Minjie Yuan, Haina Chen, Sijie Han, Lifang Yu, Chen Li

“…These metrics demonstrate that CNN algorithms can meet the clinical demands for recognizing prolonged RRI, thereby enhancing physicians’ confidence, especially when dealing with large volumes of RRI data. AI provides invaluable support for quantitative analysis and significantly improves diagnostic efficiency. …”
Get full text

Improving the quality of SAR radar image detection and identification using neural network to increase the security factor of military tactics by ali alizade, Jalil Mazloum, behrang hadian, ahmad dolatkhah, behnam dorostkar

Get full text

Leveraging Satellite Data for Predicting PM10 Concentration with Machine Learning Models: A Study in the Plains of North Bengal, India by Ayan Das, Manoranjan Sahu

“…This model also showed NDVI being the most important parameter in the analysis. To assess model transferability, all five models were utilized to predict PM10 concentrations in the Jalpaiguri region, referencing National Air Quality Monitoring Programme (NAMP) data. …”
Get full text

DeFiSentinel: AI-Enhanced Decentralized Finance Architecture With Advanced Cryptographic Smart Contracts for Data Integrity and Threat Resilience by Seyed Mani Rahnama

“…In this approach, the privacy-preserving risk assessment is done through FL, allowing multiple financial institutions to collaboratively train fraud detection models while maintaining the confidentiality of sensitive data. The integration of a deep neural network (DNN)–based fraud detection mechanism enhances real-time threat resilience. …”
Get full text

Fountain Coding Based Two-Way Relaying Cognitive Radio Networks Employing Reconfigurable Intelligent Surface and Energy Harvesting by Hieu T. Nguyen, Nguyen-Thi Hau, Nguyen Van Toan, Vo Ta Ty, Tran Trung Duy

“…In the proposed schemes, two secondary sources attempt to exchange data with each other through the assistance of an RIS deployed in the network. …”
Get full text

Development of a Transfer Learning-Based, Multimodal Neural Network for Identifying Malignant Dermatological Lesions From Smartphone Images by Jiawen Deng, Eddie Guo, Heather Jianbo Zhao, Kaden Venugopal, Myron Moskalyk

“…Analysis of permutation importance showed that key clinical features influential for the clinical data-based network included bleeding, lesion elevation, patient age and recent lesion growth. …”
Get full text

A New Lunar Crustal Thickness Model Constrained by Converted Seismic Waves Detected Beneath the Apollo Seismic Network by D. Kim, V. Lekić, M. A. Wieczorek, N. C. Schmerr, G. S. Collins, M. P. Panning

“…Abstract Analysis of conversions between compressional and shear waves is a workhorse method for constraining crustal and lithospheric structure on Earth; yet, such converted waves have not been unequivocally identified in seismic data from the largest events on the Moon, due to the highly scattered waveforms of shallow seismic events. …”
Get full text

LiSENCE: A Hybrid Ligand and Sequence Encoder Network for Predicting CYP450 Inhibitors in Safe Multidrug Administration by Abena Achiaa Atwereboannah, Wei-Ping Wu, Sophyani B. Yussif, Muhammed Amin Abdullah, Edwin K. Tenagyei, Chiagoziem C. Ukuoma, Yeong Hyeon Gu, Mugahed A. Al-antari

“…It aimed to enhance prediction accuracy and provide biological insights, improving drug development and patient safety regarding drug–drug interactions: The innovative LiSENCE AI framework comprised four modules: the Ligand Encoder Network (LEN), Sequence Encoder Network (SEN), classification module, and explainability (XAI) module. …”
Get full text

Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska by Pratima Khatri-Chhetri, Hans-Erik Andersen, Bruce Cook, Sean M. Hendryx, Liz van Wagtendonk, Van R. Kane

“…The remote sensing data were collected under variable sky conditions (clear to overcast) throughout a 1-month growing-season period, and field data collected by United States Department of Agriculture (USDA) Forest Service, Forest Inventory and Analysis program (FIA). …”
Get full text

Neural network prediction of MHD thermo-solutal natural convection in ternary hybrid nanofluids within a curved enclosure by Saleh Mousa Alzahrani, Talal Ali Alzahrani, Imtiaz Ali Shah

“…The ANN model is trained using high-fidelity numerical simulation data to predict the thermosolutal convection behavior of THNF. …”
Get full text

Characterizing the influence of varying functional traits from remotely sensed data on forest productivity acquired from selected NEON sites by Paige T. Williams, Valerie A. Thomas, Randolph H. Wynne, Karl F. Huemmrich, David J. Harding, K. Jon Ranson, Petya K. Campbell, Elizabeth M. Middleton

“…Airborne remote sensing observations and in situ flux tower measurements used in this analysis were acquired from selected forested sites from the National Ecological Observatory Network (NEON) data portal. …”
Get full text

DGA domain detection and botnet prevention using Q-learning for POMDP by Y. V. Bubnov, N. N. Ivanov

“…The estimation of the quality of recognition of generated domain names using ROC analysis is calculated for a trained neural network. …”
Get full text

Improving the Universal Performance of Land Cover Semantic Segmentation Through Training Data Refinement and Multi-Dataset Fusion via Redundant Models by Jae Young Chang, Kwan-Young Oh, Kwang-Jae Lee

“…Redundant models share the same network architecture and hyperparameters but are trained with different combinations of training and validation data on the same dataset. …”
Get full text

Cyborg Adolescents and Digital Data: Examining Education and Revenue Generation in the Digital Lives of Youth through More-than-Human Ethnography by Davood Zahrani, Ali Hashemianfar, Ahmad Mehrshad

“…Their creativity in this domain stems from an understanding of these actors and networks, leading them to adapt their goals or strategies to align with data-driven objectives. …”
Get full text

Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study by Xiaolei Lu, Chenye Qiao, Hujun Wang, Yingqi Li, Jingxuan Wang, Congxiao Wang, Yingpeng Wang, Shuyan Qie

“…The GDI was calculated using data from a Vicon 3D motion capture system. This study employed four machine learning models—Lasso Regression, Random Forest (RF), Support Vector regression (SVR), and BP Neural Network—to model and validate the sensor data. …”
Get full text

Does global capitation prospective payment promote integrated delivery networks? Evidence from China’s compact county medical communities by Longyan Cui, Gang Yin, Gao Lan Xin Dai, Hongbing Tao

Get full text