Results 91 to 100 of about 71,058 (310)
Discrete Graphical Models for Alphabet-Based Multisensory Data Fusion and Classification
, 2011 The way of multisensory data integration is a crucial step of any data fusion method. Different physical types of sensors (optic, thermal, acoustic, radar, etc.), different resolution, and different types of GIS digital data (elevation, vector maps, etc.
Palubinskas, Gintautas +5 more
core +1 more source
Digital twin intersection based on roadside multi-sensor data fusion
Digital Transportation and SafetyDigital twin technology is pivotal in the advancement of smart cities and autonomous driving due to its unique capabilities in virtual-reality integration, interactive control, and predictive analysis.
Yuhang Wang, Yanzhan Chen, Liang Zheng
doaj +1 more source
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Information extraction using optical and radar remote sensing data fusion
, 2012 Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection.
Palubinskas, Gintautas +2 more
core
Research on Autonomous Obstacle Avoidance Algorithm for Complex Environment of Unmanned Aerial Vehicle Based on Multi-source Sensor Fusion [PDF]
MATEC Web of ConferencesAutonomous obstacle avoidance for UAVs in complex environments is crucial, single sensors have limitations, and multi-source sensor fusion technology has received attention.
Fan Li
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Multi-Sensor Traffic Data Fusion [PDF]
, 2003 This report describes unique surveillance system on a section of I-80 freeway in the city of Emeryville. The system, called the Berkeley Highway Laboratory (BHL), consists of eight dual loop detector stations along the freeway section, and 12 video cameras.
Kim, ZuWhan, Skabardonis, A.
openaire +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Multi Level Fusion of Competitive Sensors for Automotive Environment Perception
, 2013 A reference sensor system, consisting of a multilayer laser scanner and a stereo camera system, is used for detecting vehicle surroundings. Via a novel multi level multi sensor fusion framework the heterogeneous sensor information can be fused on three ...
Kozempel, Karsten, Haberjahn, Mathias
core
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source