Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…However, the variability and non-stationary nature of wind patterns make reliable forecasting a difficult task. …”
Get full text

Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning by Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, Drk Müller

“…They use sensors and algorithms to learn user behavior and optimize heating schedules accordingly. …”
Get full text

Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

Get full text

Deterministic cascade evolution in coal and gas outbursts: From early acoustic signatures to system-wide failure by Yang Lei, Zhijie Wen, Liang Wang, Ting Ren, Yujun Zuo

Get full text

The quantification of down-hole fractionation for laser ablation mass spectrometry by J. C. Lloyd, J. C. Lloyd, C. Spandler, S. E. Gilbert, D. Hasterok

“…We utilise a relatively new data visualisation method, uniform manifold approximation and projection (UMAP), to help visualise the data relationships in this large dataset while comparing it to more traditional methods of data visualisation.</p> <p>The algorithm presented in this research advances our capability to accurately model LA-ICP-MS DHF and may facilitate reliable decoupling of the DHF correction for non-matrix-matched materials, lead to improved uncertainty propagation, and facilitate inter-laboratory comparison studies of DHF patterns.…”
Get full text

Graph neural networks and transfer entropy enhance forecasting of mesozooplankton community dynamics by Minhyuk Jeung, Min-Chul Jang, Kyoungsoon Shin, Seung Won Jung, Sang-Soo Baek

Get full text

&#x201C;Diwan&#x201D;: Constructing the Largest Annotated Corpus for Arabic Poetry by Badriyya B. Al-Onazi, Wadee A. Nashir, Asma A. Al-Shargabi

“…By leveraging intelligent annotation algorithms, Diwan serves as a foundational resource and benchmark dataset for advancing research in fields such as automatic poetry generation, metrical analysis, thematic classification, and plagiarism detection. …”
Get full text

A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing by Qian Liu, Xianjun Hao, Cheng-Zhi Zou, Likun Wang, John J. Qu, Banghua Yan

“…Recently, the VIIRS EDRs of cloud features have been reprocessed using unified and consistent algorithm for selected periods to minimize or remove the inconsistencies due to different versions of retrieval algorithms as well as input VIIRS sensor data records (SDRs) adopted by different periods of operational EDRs. …”
Get full text

Intelligent Diagnosis and Predictive Rehabilitation Assessment of Chronic Ankle Instability Using Shoe-Integrated Sensor System by Zhonghe Guo, Yanzhang Li, Yuchen Wang, Haoxuan Liu, Rui Guo, Jingzhong Ma, Xiaoming Wu, Dong Jiang, Tianling Ren

Get full text

Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

Get full text

How does the level of functional impairment vary in individuals with non-communicable disease and comorbidity? Cross-sectional analysis of linked census and administrative data in... by Barry Milne, Nicholas Bowden, Lisa Underwood, Andrea M Teng, Hamish Jamieson

“…Objectives This study examines national patterns of functional impairment, and how they vary by the presence of non-communicable disease (NCD), type of health condition, comorbidity, age, sex, ethnicity, deprivation and living situation.Design A cross-sectional examination using a national research database of linked administrative and survey data sets including census, tax and health data.Setting Aotearoa New ZealandParticipants All individuals living in NZ on 30 June 2018, identified by the Statistics NZ Integrated Data Infrastructure estimated residential population (4.79 million individuals). …”
Get full text

Dimensionality Reduction problem: a Comprehensive Exploration of Disjoint Principal Component Analysis (DPCA) and Disjoint Multiple Correspondence Analysis (DMCA) by Mario Fordellone

“…We navigate through the intricacies of their algorithms and explore how they unveil patterns within complex datasets. …”
Get full text

Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier by Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal

“…Despite many surveys, a comprehensive review of HPE, especially with recent deep learning innovations, is still needed. Our research addresses this by proposing a novel HPE and SEC system. …”
Get full text

Multi-omics characterization of diabetic nephropathy in the db/db mouse model of type 2 diabetes by Liping Wang, Ran Zhou, Guanghui Li, Xiaodan Zhang, Yan Li, Yinchen Shen, Junwei Fang

Get full text

Quantitative and qualitative gait assessments in Parkinson’s disease patients by Đurić-Jovičić Milica D., Jovičić Nenad S., Radovanović Saša M., Kresojević Nikola D., Kostić Vladimir S., Popović Mirjana B.

Get full text

Characteristics stochastic analysis of long and narrow deep excavations under soil spatial variability by Shouhua Liu, Zhaoliang Wang, Yadong Chen, Guohua Fang, Yiding Zhao, Junsheng Yang, Huasheng Sun

“…This algorithm was created within the framework of random field theory and Monte Carlo simulation. …”
Get full text

Area-Time-Efficient Secure Comb Scalar Multiplication Architecture Based on Recoding by Zhantao Zhang, Weijiang Wang, Jingqi Zhang, Xiang He, Mingzhi Ma, Shiwei Ren, Hua Dang

“…Based on this background information, we propose our own research objectives. In this paper, a low-latency and low-area ECSM architecture based on the comb algorithm is proposed. …”
Get full text

Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation by Lalitha Krishnasamy, Siva C, Rajesh Kumar Dhanaraj, Mahmoud Ahmad Al-Khasawneh, Taher Al-Shehari, Nasser A. Alsadhan, Shitharth Selvarajan

Get full text

Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain by Ali Asghar Rostami, Mohammad Taghi Sattari, Halit Apaydin, Adam Milewski

“…In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). …”
Get full text

The effective landscape design parameters with high reflective hardscapes: guidelines for optimizing human thermal comfort in outdoor spaces by design -a case on hot arid climate w... by Reham A. Abdelwahab, Ahmed A. Fekry, Reham El-Dessuky Hamed

“…Through generative design algorithms, an optimized framework was developed to identify effective strategies for urban cooling. …”
Get full text