Results 71 to 80 of about 77,177 (314)

COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange

open access: yesSensors, 2023
The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks.
Diego Gutiérrez Martín   +3 more
doaj   +1 more source

Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges

open access: yes, 2015
Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique. We focus on a novel approach to extract metaknowledge in multimedia datasets. Our
Bari, Nima   +3 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Advances in Mathematical Models for AI-Based News Analytics

open access: yesMathematics
The exponential growth of digital news sources presents a critical challenge in efficiently processing and analyzing vast datasets to derive actionable insights.
Fahim Sufi
doaj   +1 more source

CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning

open access: yesAdvanced Science, EarlyView.
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang   +13 more
wiley   +1 more source

GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data

open access: yesISPRS International Journal of Geo-Information, 2019
The primary goal of collecting Earth observation (EO) imagery is to map, analyze, and contribute to an understanding of the status and dynamics of geographic phenomena.
Stefan Lang   +4 more
doaj   +1 more source

Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning

open access: yesIEEE Open Journal of Engineering in Medicine and Biology, 2020
Goal: To present a framework for data sharing, curation, harmonization and federated data analytics to solve open issues in healthcare, such as, the development of robust disease prediction models.
Vasileios C. Pezoulas   +11 more
doaj   +1 more source

ReconTraj4Drones: A Framework for the Reconstruction and Semantic Modeling of UAVs’ Trajectories on MovingPandas

open access: yesApplied Sciences, 2023
Unmanned aerial vehicles (UAVs), also known as drones, are important for several application domains, such as the military, agriculture, cultural heritage documentation, surveillance, and the delivery of goods/products/services.
Konstantinos Kotis, Andreas Soularidis
doaj   +1 more source

Exploratory topic modeling with distributional semantics

open access: yes, 2015
As we continue to collect and store textual data in a multitude of domains, we are regularly confronted with material whose largely unknown thematic structure we want to uncover.
A Treisman   +9 more
core   +1 more source

Personalized Medication for Chronic Diseases Using Multimodal Data‐Driven Chain‐of‐Decisions

open access: yesAdvanced Science, EarlyView.
A MDD‐CoD is proposed for personalized chronic disease medication. The framework simulates clinical chain‐of‐decisions through three linked deep learning tasks, validated on multi‐center datasets (3 hospitals, 4 diseases), demonstrating enhanced generalization and interpretability in cross‐disease applications.
Xiaoli Chu   +10 more
wiley   +1 more source

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