Dementia can lead to a patient's memory loss and language impairment. Dementia is rising day by day and it is one of the most common reasons for deaths in recent years. It is a continuing challenge of the 21st cen...
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In the rapidly evolving field of education, emerging technologies are increasingly reshaping how learning takes place. Virtual reality (VR) allows users to fully immerse themselves in simulated worlds, giving them the...
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The proceedings contain 45 papers. The topics discussed include: Denseflex: a low rank factorization methodology for adaptable dense layers in DNNs;a lightweight architecture for real-time neuronal-spike classificatio...
ISBN:
(纸本)9798400705977
The proceedings contain 45 papers. The topics discussed include: Denseflex: a low rank factorization methodology for adaptable dense layers in DNNs;a lightweight architecture for real-time neuronal-spike classification;PEARL: enabling portable, productive, and high-performance deep reinforcement learning using heterogeneous platforms;mini-batching with fused training and testing for datastreams processing on the edge;energy-aware IoT deployment planning;register blocking: an analytical modelling approach for affine loop kernels;hardware support for balanced co-execution in heterogeneous processors;HLS taking flight: toward using high-level synthesis techniques in a space-borne instrument;an ANN-guided multi-objective framework for power-performance balancing in HPC systems;and clustering and allocation of spiking neural networks on crossbar-based neuromorphic architecture.
In recent days, the growing demand for automated language processing had brought Cross-Lingual Text Classification (CLTC) into focus as powerful approach for categorizing text across multiple languages which enabled u...
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The Australian higher education is one of the top industries generating revenue for Australian government. Like other industries, education sector is changing rapidly driven by Artificial Intelligence (AI). This resea...
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Anemia in young children presents significant health challenges, requiring accurate and non-intrusive diagnostic methods. This study introduces the Recurrent Expansion Layer (REXlayer), a novel component for learning ...
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This study investigates the intersection between Artificial Intelligence (AI) and science fiction (Sci-Fi), using bibliometrix R-Package and VOSviewer network visualizations to analyze data from the Web of Science (Wo...
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The proceedings contain 38 papers. The special focus in this conference is on intelligentdata Analysis. The topics include: Mind the Gap: Measuring Generalization Performance Across Multiple Objectives;effects o...
ISBN:
(纸本)9783031300462
The proceedings contain 38 papers. The special focus in this conference is on intelligentdata Analysis. The topics include: Mind the Gap: Measuring Generalization Performance Across Multiple Objectives;effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings;shapley Values with Uncertain Value Functions;Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors;on the Change of Decision Boundary and Loss in learning with Concept Drift;AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active learning and Transfer learning;Explanations for Itemset Mining by Constraint Programming: A Case study Using ChEMBL data;translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification;geolet: An Interpretable Model for Trajectory Classification;transferable Deep Metric learning for Clustering;An Investigation of structures Responsible for Gender Bias in BERT and DistilBERT;discovering Diverse Top-K Characteristic Lists;online Influence Forest for streaming Anomaly Detection;APs: A Proxemic Framework for Social Media Interactions Modeling and Analysis;user Authentication via Multifaceted Mouse Movements and Outlier Exposure;explaining Black Box Reinforcement learning Agents Through Counterfactual Policies;A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory data;discovering Rule Lists with Preferred Variables;don’t start Your data Labeling from Scratch: OpSaLa - Optimized data Sampling Before Labeling;the Other Side of Compression: Measuring Bias in Pruned Transformers;spatial Graph Convolution Neural Networks for Water Distribution Systems;dropping Incomplete Records is (not so) straightforward;meta-learning for automated Selection of Anomaly Detectors for Semi-supervised datasets;should We Consider On-Demand Analysis in Scale-Free Networks?;ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection;out-of-Distribution Ge
Encapsulating single cells in hydrogels provides them with a relatively autonomous and controllable three-dimensional extracellular environment. This environment can facilitate cell interaction and proliferation, maki...
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ISBN:
(纸本)9798350388084;9798350388077
Encapsulating single cells in hydrogels provides them with a relatively autonomous and controllable three-dimensional extracellular environment. This environment can facilitate cell interaction and proliferation, making it highly valuable in fields such as tissue engineering and single-cell research. However, traditional methods of single-cell encapsulation encounter limitations in terms of single-cell encapsulation rate and topography control, which hinder of the progress of single-cell encapsulation research. In this paper, we propose a novel method for printing microgel-encapsulated single cells using deep learning-guided DLP printing. By leveraging deep learning algorithms, we accurately capture and translate the real-time positional data of single cells into the printing system's coordinate framework. Based on the single-cell positional information, a virtual digital mask is created via the OpenCV algorithm, which is then input into the digital microscope to complete the single-cell encapsulation. The single-cell encapsulation rate achieved by this method is 86.3%, which is about 2.87 times higher than that of the traditional method. Experimental results show that our method achieves high accuracy in single-cell encapsulation and the fabrication of microgels with arbitrary shapes, which hold significant importance for biological and medical applications.
The proceedings contain 156 papers. The topics discussed include: integrating machine learning and social sensing in smart city digital twin for citizen feedback;a novel fuzzy identity-based encryption with wireless P...
ISBN:
(纸本)9798350330014
The proceedings contain 156 papers. The topics discussed include: integrating machine learning and social sensing in smart city digital twin for citizen feedback;a novel fuzzy identity-based encryption with wireless PUF for IoT device authentication;RDA-Unet: a retrieval model for radar composite reflectivity factor from Himawari-8 observations;DHIFS: a dynamic and hybrid index method with low memory overhead and efficient file access;multi-agent reinforcement learning for smart city automated traffic light control;st-ConvLSGRU: a radar echo extrapolation method based on LstM and GRU;intelligent maintenance system for wind turbine based on deep belief federated learning;BioNet+: a comprehensive interaction model of finding therapeutics for diseases with graph deep learning;and PBE-Plan: periodic backdoor erasing plan for trustworthy federated learning.
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