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Transformer based neural network for daily ground settlement prediction of foundation pit considering spatial correlation.
PloS one
Nov 20, 2023
Deep foundation pit settlement prediction based on machine learning is widely used for ensuring the safety of construction, but previous studies are limited to not fully considering the spatial correlation between monitoring points. This paper propos...
MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence.
PloS one
Nov 13, 2023
Accessing and utilizing geospatial data from various sources is essential for developing scientific research to address complex scientific and societal challenges that require interdisciplinary knowledge. The traditional keyword-based geosearch appro...
Performance analysis of PID controller and fuzzy logic controller for DC-DC boost converter.
PloS one
Oct 19, 2023
Demand of Power electronics converter is increased due to the rapid increase of green re-sources. The distributed nature of uncontrolled renewable energy resources are connected with the grid via power electronics converter. DC-DC converters are high...
Multispectral Plant Disease Detection with Vision Transformer-Convolutional Neural Network Hybrid Approaches.
Sensors (Basel, Switzerland)
Oct 17, 2023
Plant diseases pose a critical threat to global agricultural productivity, demanding timely detection for effective crop yield management. Traditional methods for disease identification are laborious and require specialised expertise. Leveraging cutt...
Perspectives in Wearable Systems in the Human-Robot Interaction (HRI) Field.
Sensors (Basel, Switzerland)
Oct 8, 2023
Due to the advantages of ease of use, less motion disturbance, and low cost, wearable systems have been widely used in the human-machine interaction (HRI) field. However, HRI in complex clinical rehabilitation scenarios has further requirements for w...
A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration.
IEEE journal of biomedical and health informatics
Oct 5, 2023
Automatic generation of medical reports can provide diagnostic assistance to doctors and reduce their workload. To improve the quality of the generated medical reports, injecting auxiliary information through knowledge graphs or templates into the mo...
DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction.
PeerJ
Sep 25, 2023
DNA methylation is a crucial topic in bioinformatics research. Traditional wet experiments are usually time-consuming and expensive. In contrast, machine learning offers an efficient and novel approach. In this study, we propose DeepMethylation, a no...
DSPose: Dual-Space-Driven Keypoint Topology Modeling for Human Pose Estimation.
Sensors (Basel, Switzerland)
Sep 3, 2023
Human pose estimation is the basis of many downstream tasks, such as motor intervention, behavior understanding, and human-computer interaction. The existing human pose estimation methods rely too much on the similarity of keypoints at the image feat...
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.
Journal of chemical information and modeling
Aug 29, 2023
Plant small secretory peptides (SSPs) play an important role in the regulation of biological processes in plants. Accurately predicting SSPs enables efficient exploration of their functions. Traditional experimental verification methods are very reli...
PIMedSeg: Progressive interactive medical image segmentation.
Computer methods and programs in biomedicine
Aug 25, 2023
BACKGROUND AND OBJECTIVE: Accurate object segmentation in medical images is a crucial step in medical diagnosis and other applications. Despite years of research on automatic segmentation approaches, achieving clinically acceptable image quality rema...
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