Non-Fungible Programs by Blake Regalia, Benjamin Adams

“… The greatest advantage that Web3 applications offer over Web 2.0 is the evolution of the data access layer. …”
Get full text

Resolving Covid-19 with Blockchain and AI by Suyogita Singh, Satya Bhushan Verma

Get full text

SafeTrack: Secure Tracking Protocol for Mobile Sensor Nodes in Unstable Wireless Sensor Networks by Ali Adnan Al-Khazraji, Fatimah Abdulridha Rashid

Get full text

MFMamba: A Mamba-Based Multi-Modal Fusion Network for Semantic Segmentation of Remote Sensing Images by Yan Wang, Li Cao, He Deng

“…Semantic segmentation of remote sensing images is a fundamental task in computer vision, holding substantial relevance in applications such as land cover surveys, environmental protection, and urban building planning. …”
Get full text

SLA-MLP: Enhancing Sleep Stage Analysis from EEG Signals Using Multilayer Perceptron Networks by Farah Mohammad, Khulood Mohammed Al Mansoor

“…The key steps of this approach include data collection, where diverse and high-quality EEG data are gathered; preprocessing, which involves signal cropping, spectrogram conversion, and normalization to prepare the data for analysis; data balancing, where class weights are adjusted to address any imbalances in the dataset; feature extraction, utilizing Temporal Convolutional Networks (TCNs) to extract meaningful features from the EEG signals; and final classification, applying a Multilayer Perceptron (MLP) to accurately predict sleep stages. …”
Get full text

SPL-PlaneTR: Lightweight and Generalizable Indoor Plane Segmentation Based on Prompt Learning by Zhongchen Deng, Yuanlong Ge, Xiatian Qi, Kai Sun, Ruixi Wan, Bingxu Zhang, Shenman Zhang, Xun Zhang, Yan Meng

Get full text

Prediction of barite scale formation and inhibition in hydrocarbon reservoirs using AI modeling: Focus on different optimization algorithms by Ouafa Belkacem, Ahmed Rezrazi, Kamel Aizi, Lokmane Abdelouahed, Maamar Laidi, Abdelhafid Touil, Leila Cherifi, Salah Hanini

“…Additionally, the ELM model successfully estimated over 95 % of the data points, with an applicability domain of 97.82 %. …”
Get full text

A Transformer–VAE Approach for Detecting Ship Trajectory Anomalies in Cross-Sea Bridge Areas by Jiawei Hou, Hongzhu Zhou, Manel Grifoll, Yusheng Zhou, Jiao Liu, Yun Ye, Pengjun Zheng

“…Most existing anomaly detection methods heavily rely on labeled or semi-supervised data, thus limiting their applicability in scenarios involving completely unlabeled ship trajectory data. …”
Get full text

High-Resolution Yield Mapping for <i>Eucalyptus grandis</i>—A Case Study by Rafael Donizetti Dias, José Paulo Molin, Marcelo Chan Fu Wei, Clayton Alcarde Alvares

“…The objectives of this study were to present a method for generating high-resolution <i>Eucalyptus grandis</i> yield data (individual tree-level) and explore their applications, such as correlation analysis with soil attributes to aid nutrient recommendations. …”
Get full text

An incremental high impedance fault detection method under non-stationary environments in distribution networks by Mou-Fa Guo, Meitao Yao, Jian-Hong Gao, Wen-Li Liu, Shuyue Lin

“…Additionally, signal features are analyzed using density-based spatial clustering of applications with noise (DBSCAN) to monitor the distribution of data. …”
Get full text

Spatial assessment of current and future migration in response to climate risks in Ghana and Nigeria by Alina Schürmann, Mike Teucher, Janina Kleemann, Justice Nana Inkoom, Benjamin Kofi Nyarko, Appollonia Aimiosino Okhimamhe, Christopher Conrad

“…By integrating geospatial environmental, socio-economic, and population data, the study highlights areas that have a higher likelihood of migration for the current baseline and near future (2050). …”
Get full text

COMPUTERIZED OPTICAL EXPERIMENTS WITH PORTABLE SPECTROMETERS AND AMAZON WEB SERVICES CLOUD INTEGRATION by Andriy Krupych, Ivan Karbovnyk

“…It reduces equipment maintenance costs and increases accessibility to experimental data. The scalable solution can be adapted to various scientific applications requiring remote equipment access and continuous data collection.…”
Get full text

Semantic web ontology for structured knowledge representation and clinical decision support in eye diseases by Fatima Anjum, Fahad Maqbool, Muhammad Saad Razzaq, Hafiz Muhammad Faisal Shehzad, Shujaat Ali, Dilawar Shah, Muhammad Tahir, Muhammad Ilyas

“…We have developed an ontology, that is, Eye Disease Ontology (EDO), for the most common eye diseases as a resource that helps in data extraction and analysis for the general public and medical professionals. …”
Get full text

Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

“…Abstract Demographic data are essential to construct mechanistic models to understand how populations change over time and in response to global threats like climate change. …”
Get full text

Comparative effectiveness of disease-modifying therapies for highly active relapsing-remitting multiple sclerosis despite previous treatment – a systematic review and network meta-... by Michael Köhler, Friedemann Paul, Kirsten Janke, Sibylle Sturtz, Daniela Preukschat, Sabine Ostlender, Michaela Florina Kerekes, Thomas Kaiser

“…Trial registration Clinical trial number: not applicable.…”
Get full text

Triple pillars of sustainable finance: The role of green finance, CSR, and digitalization on bank performance in Bangladesh by Shaikh Masrick Hasan, K. M. Anwarul Islam, Tawfiq Taleb Tawfiq, Priya Saha

Get full text

Indication of Economic Populism in Local Governance: A New Approach for Classifying Populist Behaviour by Pavel Zdražil, Jan Fuka, Bohuslav Pernica, Robert Baťa

“…It enriches discourse on economic populism by examining the phenomenon through the lens of short-termism in financial data. …”
Get full text

Diff-Tree: A Diffusion Model for Diversified Tree Point Cloud Generation with High Realism by Haifeng Xu, Yongjian Huai, Xiaoying Nie, Qingkuo Meng, Xun Zhao, Xuanda Pei, Hao Lu

“…Current virtual tree modeling primarily relies on 3D point cloud reconstruction from field survey data, and this approach faces significant challenges in scalability and structural diversity representation, limiting its broader applications in ecological modeling of forests. …”
Get full text

An Effective Quantification of Methane Point-Source Emissions with the Multi-Level Matched Filter from Hyperspectral Imagery by Menglei Liang, Ying Zhang, Liangfu Chen, Jinhua Tao, Meng Fan, Chao Yu

“…The traditional matched filter (MF) algorithm, commonly used to derive methane enhancement from hyperspectral satellite data, is limited by its tendency to underestimate methane plumes, especially at higher concentrations. …”
Get full text

Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling by Chaitanya B. Pande, Pranaya Diwate, Israel R. Orimoloye, Lariyah Mohd Sidek, Arun Pratap Mishra, Kanak N. Moharir, Subodh Chandra Pal, Fahad Alshehri, Abebe Debele Tolche

“…Accurate LULC mapping and change detection provide critical data for modeling and analyzing the effects of land use changes on water resources, watershed management, and water quality. …”
Get full text