Enhanced Prediction and Uncertainty Modeling of Pavement Roughness Using Machine Learning and Conformal Prediction by Sadegh Ghavami, Hamed Naseri, Farzad Safi Jahanshahi

“…Pavement performance models are considered a key element in pavement management systems since they can predict the future condition of pavements using historical data. Several indicators are used to evaluate the condition of pavements (such as the pavement condition index, rutting depth, and cracking severity), and the international roughness index (IRI), which is the most widely employed worldwide. …”
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Lateral growth of diamond based on precise seeding patterns using electron-beam lithography by Florence A. Nugera, Jonathan Anderson, Dipa Devkota, Ganesh Aryal, Joyce H. Anderson, Chris Engdahl, Edwin L. Piner, Mark W. Holtz

“…A method is reported to produce patterns of diamond using electron-beam lithography, polymer-assisted seeding, and hot filament chemical vapor deposition (HFCVD). …”
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Remote sensing and TerraClimate datasets for wheat yield prediction using machine learning by Alireza Araghi, Andre Daccache

“…Findings showed that with reasonable accuracy, irrigated and rainfed wheat yields could be predicted using the MLR and ENS models up to 2 months before harvest. …”
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A 3-dimension urban growth analysis using local climate zone mapping by Haojie Chen, Cheolhee Yoo, Jacqueline T. Y. Lo

“…This study proposes an approach to characterize a city’s volumetric expansion for exploring urban land changes based on Local Climate Zone (LCZ) mapping by using a new convolutional neural network (CNN) model termed as DenseNetLCZ. …”
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Best practices for source-based research on misinformation and news trustworthiness using NewsGuard by Jula Lühring, Hannah Metzler, Ruggero Lazzaroni, Apeksha Shetty, Jana Lasser

“…One of the most widely used and comprehensive databases for source trustworthiness ratings is provided by NewsGuard. …”
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Sustainable corrosion protection of mild steel in 5% HCl using Comfrey leaves extract by Mohammad Mobin, Babar Khan, Kanika Cial, Saman Zehra

“…An aqueous extract of Comfrey leaves (CLE), obtained from a certified source (Vital Herbs, New Delhi, India), characterized using spectral techniques and evaluated as a sustainable corrosion inhibitor for mild steel (MS) in 5 % HCl solution. …”
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Derivation of surface models using satellite imagery deep learning architectures with explainable AI by Vivaldi Rinaldi, Francisco Gómez-Vela, Masoud Ghandehari

“…Current approaches for high-resolution surface modeling using aerial LiDAR are impressive and useful, but it is impractical for application on a global scale. …”
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Real-time aerial fire detection on resource-constrained devices using knowledge distillation by Sabina Jangirova, Branislava Jankovic, Waseem Ullah, Latif U. Khan, Mohsen Guizani

“…We generate activation map visualizations using Grad-CAM to confirm the model’s ability to focus on relevant fire regions. …”
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Preprocessing-Free Convolutional Neural Network Model for Arrhythmia Classification Using ECG Images by Chotirose Prathom, Ryuhi Fukuda, Yuto Yokoyanagi, Yoshifumi Okada

“…However, these models face challenges in terms of input coverage and robustness against data imbalance issues. …”
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Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway by Antoine Turquet, Andreas Wuestefeld, Guro K. Svendsen, Finn Kåre Nyhammer, Espen Lauvlund Nilsen, Andreas Per-Ola Persson, Vetle Refsum

“…This research introduces a novel approach using Distributed Acoustic Sensing (DAS) for avalanche detection. …”
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Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks by T. Senthil Kumar, Mardeni Roslee, J. Jayapradha, Yasir Ullah, Chilakala Sudhamani, Sufian Mousa Ibrahim Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali

“…We propose Adaptive Handover Optimization (AHO) model that uses Deep Reinforcement Learning (DRL) to dynamically adapt those key Handover Control Parameters (HCPs) to increase the handover completion rate and the request service rate via finetuning the Handover Margin (HOM), Time to Trigger (TTT). …”
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Multitemporal Spatial Analysis for Monitoring and Classification of Coal Mining and Reclamation Using Satellite Imagery by Koni D. Prasetya, Fuan Tsai

“…The primary limitation of this approach lies in the use of medium-resolution satellite imagery, which may result in lower precision compared to direct field measurements; however, the ability to integrate historical data with consistent temporal coverage makes it a viable alternative for large-scale and long-term monitoring.…”
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Factors influencing intentional non-utilization of healthcare: a study using the Andersen model by Huanhuan Jia, Chunxia Miao, Xiaokang Song, Tianyu Feng, Yun Zhao

“…ObjectiveThis study aims to investigate the factors influencing residents' healthcare utilization behavior and provide a scientific basis for enhancing the overall efficiency of healthcare utilization.MethodsA comprehensive analysis was conducted using data from the China General Social Survey (CGSS) project. …”
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Assessment of landscape diversity in Inner Mongolia and risk prediction using CNN-LSTM model by Yalei Yang, Hong Wang, Xiaobing Li, Tengfei Qu, Jingru Su, Dingsheng Luo, Yixiao He

“…A Potential-Connectedness-Resilience framework was used to assess landscape diversity risks from 2010 to 2020, with a Convolutional Neural Network combined with a Long Short-Term Memory (CNN-LSTM) model predicting future risks for 2025. …”
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Enhancing privacy and traceability of public health insurance claim system using blockchain technology by Andry Alamsyah, I. Putu Sadhu Setiawan

“…However, this extensive coverage raises substantial concerns about data privacy and traceability, particularly during the claim process, as policyholders currently have limited control over and insight into how their data is accessed and used.MethodsTo address these challenges, we propose a blockchain-based model designed to enhance policyholders’ private control over data access and improve traceability throughout the NHI claim process. …”
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Identification of bacterial key genera associated with breast cancer using machine learning techniques by Md. Kaderi Kibria, Isteaq Kabir Sifat, Md. Bayazid Hossen, Farhana Hasan, Md Parvez Mosharaf, Md Ziaul Hassan

“…Alpha diversity indices (Observed, Chao1, and Good’s coverage estimator) showed reduced diversity in BC patients, while beta diversity profiles, assessed using Bray-Curtis distance and principal coordinate analysis (PCoA), indicated distinct microbial communities. …”
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Trust-driven approach to enhance early forest fire detection using machine learning by Tayyab Khan, Karan Singh, Bhoopesh Singh Bhati, Khaleel Ahmad, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…This study presents a real-time Universal Trust Model (UTM) that is specifically designed for the early forest fires detection (FFD) using an intelligent wireless sensor network and machine learning approaches. …”
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Expert adaptation and validation of a verbal autopsy instrument in Chile using the Delphi method by Jovita de las Rozas Ortiz Contreras, Rodrigo Neira Contreras, Nicolás Arancibia López, Sol East

“…Methods Expert validation study using the Delphi method in three phases, carried out between June and October 2024. …”
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Assessing water clarity in the Chesapeake Bay using satellite-derived Secchi disk depth by Seunghyun Son, Nikolay P. Nezlin, Veronica P. Lance

“…Satellite SDD maps from MODIS-Aqua and VIIRS-SNPP were generated using CB-SDD algorithm to analyze spatiotemporal variations of water clarity in the Chesapeake Bay. …”
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Dosimetric impact of different CT-to-RED curves on plans calculated using Eclipse TPS by Haydar Hamza Alabedi, Ibrahim H. Alnidawi, Islam Tarek Mahmoud Mustafa, Abdelrahman Mosallam, Belal Z. Hassan, Amr Shahin, Mohammed Sallah

“…Abstract Background The impact of using different computed tomography (CT) to relative electron density (RED) curves with various phantoms, such as CIRS and Catphan, as well as default CT-to-RED curves on treatment plans for brain, breast, and rectum sites is a crucial area of research in radiotherapy. …”
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