Comprehensive dataset of Portuguese folk instruments for computer vision and heritage researchMendeley Data by Luis Augusto Silva Zendron, Héctor Sánchez San Blas, André Filipe Sales Mendes, Diego M. Jiménez-Bravo, Álvaro Lozano Murciego

“…This dataset contains visual data of traditional Portuguese musical instruments extracted from videos available on the “A Música Portuguesa A Gostar Dela Própria” webpage. …”
Get full text

Novel Drop‐Sampler for Simultaneous Collection of Stereo‐Video, Environmental DNA and Oceanographic Data by Samuel Thompson, Simon Jarman, Kingsley Griffin, Claude Spencer, Gabrielle Cummins, Julian Partridge, Tim Langlois

“…Combining simultaneous visual survey data with eDNA species estimates increased the total diversity of the fish assemblage by ca. 6.5% over eDNA estimates alone, whilst the analysis of the assemblage composition sampled by each method revealed significant differences. …”
Get full text

A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. We applied an RF model to classify vegetation types in a savanna rangeland, evaluating four training data approaches: (1) visual interpretation, (2) subsampled visual interpretation, (3) field-collected data, and (4) a novel neighborhood-based augmentation of field data. …”
Get full text

Urban Functional Zone Mapping by Integrating Multi-Source Data and Spatial Relationship Characteristics by Daoyou Zhu, Xu Dang, Wenjia Shi, Yixiang Chen, Wenmei Li

“…Experimental evaluations utilizing Gaofen-2 (GF-2) satellite imagery, POI data, and OSM road network information from Shenzhen, China have yielded remarkable results. …”
Get full text

Intelligent Interior Design Systems: Optimizing Layouts and Aesthetics Using AI and User Data by Zhe Ji, Yan Yu

Get full text

Educational and aesthetic data in school murals Directorate of Public Education, Al-Rusafa/Third by Hatem Kateh Loken Hassan Al- Atwani

“…The school environment will also include inspiring visual elements that contribute to awakening enthusiasm, happiness and activity among students. …”
Get full text

Biological constraint in digital data encoding: A DNA based approach for image representation by Muhammad Rafi Muttaqin, Yeni Herdiyeni, Agus Buono, Karlisa Priandana, Iskandar Zulkarnaen Siregar, Wisnu Ananta Kusuma

“…Digital data encoding is crucial for communication and data storage, but conventional techniques, such as ASCII and binary coding, have drawbacks in terms of processing speed and storage capacity. …”
Get full text

Comprehensive plant health monitoring: expert-level assessment with spatio-temporal image data by Alvaro Fuentes, Alvaro Fuentes, Syed Ali Asgher, Syed Ali Asgher, Jiuqing Dong, Jiuqing Dong, Yongchae Jeong, Mun Haeng Lee, Taehyun Kim, Sook Yoon, Dong Sun Park, Dong Sun Park

“…In addition, the system enables the generation of dynamic cultivation maps for continuous monitoring and early intervention, supporting data-driven crop management. Overall, the results highlight the potential of this framework to advance precision agriculture through scalable, automated plant health monitoring, guided by an understanding of key visual indicators and stressors affecting crop health throughout the cultivation period.…”
Get full text

Substation Inspection Safety Risk Identification Based on Synthetic Data and Spatiotemporal Action Detection by Chengcheng Liu, Weihua Zhang, Weijin Xu, Bo Lu, Weijie Li, Xuefeng Zhao

“…This demonstrates the feasibility, effectiveness, and robustness of synthetic data.…”
Get full text

Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

“…While most existing deep learning-based methods focus primarily on image datasets for disease recognition, they often overlook the complementary role of textual features in enhancing visual understanding. To address this problem, we proposed a cross-modal data fusion via a vision-language model for crop disease recognition. …”
Get full text

Anomaly Detection for PV Modules Using Multi-Modal Data Fusion in Aerial Inspections by Lourenco Sousa Pinho, Tiago Daniel Sousa, Celso D. Pereira, Andry M. Pinto

“…This study aims to develop a solution that detects these defects in real time resorting to an Autonomous Aerial Vehicle (AAV) equipped with for a thermal and a visual sensor. This paper contributes three major advancements to PV defect detection: a robust, standardized dataset built following IEC TS 62446-3 specifications with annotations from a real PV power plant, a novel multi-spectral approach that leverages early fusion of visual and thermal data captured via an AAV, and benchmark performance metrics for defect detection using state-of-the-art AI models. …”
Get full text

Postflight Data Processing Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications by Sri Charan Kakarla, Yiannis Ampatzidis

“…This 6-page document provides guidance on the use of post-processing software to visualize data collected by unmanned aerial vehicles (UAVs) for agricultural applications. …”
Get full text

Postflight Data Processing Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications by Sri Charan Kakarla, Yiannis Ampatzidis

“…This 6-page document provides guidance on the use of post-processing software to visualize data collected by unmanned aerial vehicles (UAVs) for agricultural applications. …”
Get full text

Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…Event cameras, as bio-inspired visual sensors, offer significant advantages in their high dynamic range and high temporal resolution for visual tasks. …”
Get full text

The use of big data on the labor market in HR business processes of organizations in the Republic of Belarus by Alena V. Vankevich, Iryna N. Kalinouskaya

“…Based on real-time big data technologies, information on individual professions (the number of vacancies, the skills indicated in them, and wages) was collected and processed by sites and online portals selected by experts. …”
Get full text

An electronic system to collect distance‐sampling data during helicopter surveys of northern bobwhite by Matthew J. Schnupp, Fidel Hernández, Eric J. Redeker, Fred C. Bryant, Joshua P. Rusk, Stephen J. Demaso, Joseph P. Sands, Trent W. Teinert, Leonard A. Brennan, Dale Rollins, Robert M. Perez

“…We assembled a computerized, electronic system to collect distance‐sampling data (e.g., transect length, detection location, and perpendicular distance) during aerial surveys. …”
Get full text

-Plot for Testing Spherical Symmetry for High-Dimensional Data with a Small Sample Size by Jiajuan Liang

“…High-dimensional data with a small sample size, such as microarray data and image data, are commonly encountered in some practical problems for which many variables have to be measured but it is too costly or time consuming to repeat the measurements for many times. …”
Get full text

Protocol for achieving enhanced snRNA-seq data quality using Quality Clustering by Paavo J. Tavi, Johannes Ojanen, Pia Laitinen, Suvi Linna-Kuosmanen

“…Summary: Single-nucleus RNA sequencing (snRNA-seq) data analysis presents a challenge in samples that have high levels of ambient RNA contamination. …”
Get full text

Development of collection and data acquisition system from germanium semiconductor detector for EDELWEISS experiment by R. B. Podviyanuk, Pia Loaiza, V. N. Kovalenko

“…The system allows transferring digitally processed pulse into computer, to visualize it, and create energy spectra. Tests with 60Co and 152Eu gamma sources have shown effectiveness of the applied approach.…”
Get full text

Deep multi-view feature fusion with data augmentation for improved diabetic retinopathy classification by Boualleg Yaakoub, Daouadi Kheir Eddine, Guehairia Oussama, Djeddi Chawki, Cheddad Abbas, Siddiqi Imran, Bouderah Brahim

Get full text