Voici notre dernière sélection de pays du monde entier publications et brevets in english on Open Source Intelligence (OSINT), between many scientific online journals, classified and focused on OSINT, data mining, social media analysis, web scraping, geolocation, metadata analysis, threat intelligence and open data.
Moving Target Geolocation and Trajectory Prediction Using a Fixed-Wing UAV in Cluttered Environments
Published on 2025-03-10 by Yong Zhou, Dengqing Tang, Han Zhou, Xiaojia Xiang @MDPI
Abstract: The application of UAVs in surveillance, disaster management, and military operations has surged, necessitating robust and real-time tracking systems for moving targets. However, accurately tracking and predicting the trajectories of ground targets pose significant challenges due to factors such as target occlusion, varying speeds, and dynamic environments. To address these challenges and advance the capabilities of UAV-based tracking systems, a novel vision-based approach is introduced in this [...]
Our summary: Real-time tracking, geolocation, and trajectory prediction of moving ground targets using a fixed-wing UAV in cluttered environments. Enhanced UAV autonomy and decision-making capabilities through an integrated algorithm combining object detection, target geolocation, and trajectory estimation. Validation through real flight experiments showcasing effectiveness and feasibility.
geolocation, trajectory prediction, UAV, moving target
Publication
Improved Detection and Location of Small Crop Organs by Fusing UAV Orthophoto Maps and Raw Images
Published on 2025-03-04 by Huaiyang Liu, Huibin Li, Haozhou Wang, Chuanghai Liu, Jianping Qian, Zhanbiao Wang, Changxing Geng @MDPI
Abstract: Extracting the quantity and geolocation data of small objects at the organ level via large-scale aerial drone monitoring is both essential and challenging for precision agriculture. The quality of reconstructed digital orthophoto maps (DOMs) often suffers from seamline distortion and ghost effects, making it difficult to meet the requirements for organ-level detection. While raw images do not exhibit these issues, they pose challenges in accurately obtaining the geolocation data of detected smal[...]
Our summary: Improved detection and location of small crop organs through the fusion of UAV orthophoto maps and raw images using EasyIDP tool. Accelerated detection speed and improved accuracy achieved with SAHI-YOLOv10n framework. Creation of CCOD-Dataset for organ-level object detection in large-scale farmlands.
Precision Agriculture, UAV Monitoring, Object Detection, Geolocation Data
Publication
Artificial Intelligence-Based Fault Diagnosis for Steam Traps Using Statistical Time Series Features and a Transformer Encoder-Decoder Model
Published on 2025-03-03 by Chul Kim, Kwangjae Cho, Inwhee Joe @MDPI
Abstract: Steam traps are essential for industrial systems, ensuring steam quality and energy efficiency by removing condensate and preventing steam leakage. However, their failure results in energy loss, operational disruptions, and increased greenhouse gas emissions. This paper proposes a novel predictive maintenance system for steam traps that integrates statistical time series features and transformer encoder–decoder models for fault diagnosis and visualization. The proposed system combi[...]
Our summary: This paper presents a novel AI-based fault diagnosis system for steam traps using statistical time series features and a transformer encoder-decoder model. The system integrates IoT sensor data, operational parameters, open data, and machine learning for improved reliability and interpretability. Experiments in industrial plants showed superior defect detection accuracy and diagnostic reliability, with a 6.92% reduction in thermal energy and potential for sustainable manufacturing practices.
Artificial Intelligence, Fault Diagnosis, Transformer Encoder-Decoder Model, Predictive Maintenance
Publication
Insights into Consumer Electronics Evaluation
Published on 2025-02-27 by Najada Firza, Anisa Bakiu, Alfonso Monaco @MDPI
Abstract: In the era of digital commerce, understanding consumer opinions has become crucial for businesses aiming to tailor their products and services effectively. This study investigates acoustic quality diagnostics of the latest generation of AirPods. From this perspective, the work examines consumer sentiment using text mining and sentiment analysis techniques applied to product reviews, focusing on Amazon’s AirPods reviews. Using the naïve Bayes classifier, a probabilistic[...]
Our summary: Study on consumer opinions of AirPods using sentiment analysis techniques reveals insights into product evaluation, highlighting sentiment drivers and the effectiveness of naïve Bayes classifier. Methodologies like sentiment analysis are crucial for businesses in the digital marketplace.
consumer electronics, acoustic quality, sentiment analysis, naïve Bayes classifier
Publication
A Data-Driven Approach Using Educational Data Mining Techniques
Published on 2025-02-27 by Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris @MDPI
Abstract: This study investigates the use of educational data mining (EDM) techniques to predict student performance and enhance learning outcomes in higher education. Leveraging data from Moodle, a widely used learning management system (LMS), we analyzed 450 students’ academic records spanning nine semesters. Five machine learning algorithms—k-nearest neighbors, random forest, logistic regression, decision trees, and neural networks—were applied to identify corr[...]
Our summary: Study on using EDM techniques to predict student performance in higher education, leveraging data from Moodle, analyzing academic records using machine learning algorithms, highlighting potential for optimizing instructional strategies.
Educational Data Mining, Machine Learning Algorithms, Moodle, Predictive Accuracy
Publication
Integrated Rover Path Planning and Validation on Real Outdoor Terrain Scenarios Using Satellite Information to Conduct a Real Achievable Trajectory
Published on 2025-02-26 by Stelian Brad, Bogdan Balog @MDPI
Abstract: The reliable and efficient navigation for mobile robots across challenging outdoor terrains is critical for autonomous robotics. Traditional methods for planning the path of such robots often emphasize minimizing the travel distance but do not accommodate terrain stability, variability, or energy efficiency. The study proposes an integrated approach between satellite-driven geolocation data and terrain-specific features that enhance the path planning strategies in complex outdoor environments. O[...]
Our summary: Integrated approach using satellite information for path planning on challenging outdoor terrains. Controller generates energy-efficient and stable trajectories. Significant improvement in traction characteristics compared to conventional models.
path planning, satellite information, terrain-specific features, search-based algorithms
Publication
Cloud enabled augmented reality
Patent published on the 2025-02-19 in EP under Ref EP4510082 by NIANTIC INC [US] (Finman Ross Edward [us], Hu Si Ying Diana [us])
Abstract: An augmented reality system generates computer-mediated reality on a client device. The client device has sensors including a camera configured to capture image data of an environment and a location sensor to capture location data describing a geolocation of the client device. The client device creates a three-dimensional (3-D) map with the image data and the location data for use in generating virtual objects to augment reality. The client device transmits the created 3-D map to an external ser[...]
Our summary: An augmented reality system utilizes sensors on a client device to create a 3-D map for generating virtual objects, which can be updated and displayed in real-time through a cloud server.
cloud enabled, augmented reality, computer-mediated reality, 3-D map
Patent
Tripwire-based geolocation system
Patent published on the 2025-02-19 in EP under Ref EP4510511 by ALARM COM INC [US] (Murdock John [us], Bingham Jasper [us], Chien Allen [us], Trundle Stephen Scott [us])
Abstract: Methods, systems, and apparatus, including computer programs encoded on a non-transitory computer storage medium, for receiving user-defined routes, each route including a tripwire of multiple tripwires and a direction, and including an action of multiple actions executed by a subsystem of a home monitoring system, detecting a first signal at a first tripwire including a first direction, determining a set of user-defined routes including the first tripwire and the first direction, detecting a se[...]
Our summary: System for receiving user-defined routes with tripwires and directions, detecting signals at tripwires, and triggering actions based on signals.
Tripwire, geolocation system, user-defined routes, home monitoring system
Patent
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