Overall architecture
Network architecture of our proposed CBFL. The past poses are annotated within solid line boxes composed of orange, blue, and green, while the predicted pose is represented in pink. The past poses are input into EKAE…
Category: 7. Maths
-
Prevalence, associated risk factors and satellite imagery analysis in predicting soil-transmitted helminth infection in Nakhon Si Thammarat Province, Thailand
Study area
A cross-sectional study was conducted from June to August 2024 in primary schools in Thasala District, Nakhon Si Thammarat Province, covering an area of approximately 375.53 square kilometers. Thasala is a coastal district along the…
Continue Reading
-
Adaptive fusion of multi-cultural visual elements using deep learning in cross-cultural visual communication design
Overall architecture design
The proposed multi-cultural visual elements adaptive fusion algorithm integrates deep learning techniques with cultural computing principles to create a comprehensive framework for cross-cultural interface design. The…
Continue Reading
-
Integration of smart insoles for gait assessment in exoskeleton assisted rehabilitation
To assess the feasibility of employing smart insoles for gait analysis in individuals using an exoskeleton for rehabilitation, data from participants, recruited from the No Barriers Foundation Ireland (https://nobarriers.ie), who suffer from…
Continue Reading
-
Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings
All study procedures were approved by the Institutional Review Board (Comitato Etico Policlinico San Matteo, Pavia—PN0035588/22). Written informed consent was obtained by patients or waived by the Institutional Review Board. All procedures…
Continue Reading
-
Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach
This section describes the outcomes of several ML and DL models for deepfake posts’ sentiment analysis. All these models are tested on a large dataset that is scrapped from X (Twitter). The dataset labeling is performed using TextBlob into…
Continue Reading
-
Deep reinforcement learning-based mechanism to improve the throughput of EH-WSNs
In this section, the simulation results are presented to evaluate the performance of the proposed DRL-based method. Various network configurations and node densities are considered to demonstrate the effectiveness and scalability of the method….
Continue Reading
-
A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm
To achieve efficient retrieval of multi-level redundant data in grid resource business centers, operational data is first acquired from the platform to construct a multi-level data decision tree. While traditional decision tree pruning typically…
Continue Reading
-
Using machine learning to forecast conflict events for use in forced migration models
We conducted case studies on four historical African conflicts: (1) The Mali conflict with a simulation period of 300 days from 29th February 2012, (2) Burundi conflict with a simulation period of 396 days from 1st May 2015, (3) South Sudan…
Continue Reading
-
Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles
This study presents a novel LTTDT-UAVDFCTL model. The model presents a new method to improve target tracking and detection robustness and precision in scale-variant environments. It involves distinct stages, such as image pre-processing, OD using…
Continue Reading