In healthcare, accessing diverse and large datasets for machine learning poses challenges due to data privacy concerns. Federated learning (FL) addresses this by training models on decentralized data while preserving ...
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Crude oil, as a prerequisite for many industries, is vital in today's world. In this regard, predicting its future price is crucial for many purposes. Even though plenty of research has been done in this field wit...
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Recent advances in deep convolutional neural networks have significantly improved instance segmentation. In large-scale remote sensing images, however, the high density, arbitrary shapes and orientation, large aspect ...
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Facial micro-expressions (MEs) are a kind of facial expression that can reveal people's true feelings, arising naturally from involuntary movements of facial muscles. Hence, it plays an important role in criminal ...
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the proceedings contain 23 papers. the special focus in this conference is on Image Processing and Communications, International conference on computer Recognition Systems. the topics include: Coregistration of S...
ISBN:
(纸本)9783031416293
the proceedings contain 23 papers. the special focus in this conference is on Image Processing and Communications, International conference on computer Recognition Systems. the topics include: Coregistration of Selected Sequences in MRI Imaging Based on Edge Analysis of Image Difference;actinic Keratosis Prediction Based on Deep Learning Methods;a New Assessment of Convolutional Neural networks for Texture Directionality Detection;knowledge Distillation with Relative Representations for Image Representation Learning;An Approach for CT Image Conversion Using Filtering Based on Quaternion Mathematics;exploring Text-Guided Synthetic Distribution Shifts for Robust Image Classification;Color Tracking Application Using AI-Based Docker Container Scheduling in Fog Computing;air Pollution Monitoring and Information Distribution System;Detection of Conspiracy theories from Tweets Using NLI-Based Zero Shot Text Classification Models;hollow n-grams Vectorizer for Natural Language Processing Problems;battery Management System for Polish Hybrid Residential Photovoltaic Power Plants;document Annotation Tool for News Content Analysis;dynamic Time Warping Technique Applied to the User’s Intent Recognition for Myoelectric-Based Control of Upper Limb Prosthesis;A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and Its Application to PM2.5 Prediction;a Non-deep Approach to Classifying Movie Genres Based on Multimodal Data;incremental Extreme Learning Machine for Binary Data Stream Classification;Interpreting Intrusions - the Role of Explainability in AI-Based Intrusion Detection Systems;real-Time Deformation of three-Dimensional Volumetric Models Using Mesh Models;Hyperparameters Optimization Using GridSearchCV Method for TinyML Models;analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy;deep Learning for Pit Detection in Cherries.
Nuclei detection and segmentation are indispensable prerequisites in digital pathology research, whereas the precise segmentation of nuclei by domain experts relies heavily on global spatial information and the inter-...
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ISBN:
(纸本)9798350349184;9798350349191
Nuclei detection and segmentation are indispensable prerequisites in digital pathology research, whereas the precise segmentation of nuclei by domain experts relies heavily on global spatial information and the inter-nuclei correlation. However, previous automatic nuclei segmentation works are mostly built on convolutional neural networks, which are unable to capture long-range global context withtheir inherent convolutional operations. Additionally, window-based design in few transformerbased approaches limits remote token interactions. the present study introduces a novel Multi-local Perception (MLP) network, MLPSeg, which is proposed to address the aforementioned challenging issues. Specifically, the parallel computation of depthwise separable convolution and local window attention is designed to extract local information. then, the parallel module of local horizontal attention and local vertical attention is designed to establish the global dependency. Moreover, to model the crossscale dependencies and narrow the contextual semantic gap, the Context Cross Attention (CCA) is introduced for optimising skip connections. A tri-decoder structure is adopted to generate nuclei instance masks, normal edge masks and clustered edge masks. the superior performance of MLPSeg for nuclei segmentation is demonstrated across two datasets with different modalities, resulting in a 2.29% - 5.82% improvement compared to the state-of-the-art methods.
the proceedings contain 57 papers. the topics discussed include: determining dominant EEG channels for classification of learning disabled (LD) and non-LD children using machine learning approach;comparison of computa...
ISBN:
(纸本)9798400708329
the proceedings contain 57 papers. the topics discussed include: determining dominant EEG channels for classification of learning disabled (LD) and non-LD children using machine learning approach;comparison of computational complexity of neural network models for detection of steganographic algorithms;machine learning and internet of things based real time NPK fertilizer prediction for cassava crop in Rwanda;deployment of machine learning model for ammonia prediction in river water;unveiling market trends in pre-owned luxury goods: an approach using network motifs for ROI analysis;exploring user perspectives: empowering self-management strategies through semi-structured interviews in the context of mobile app-based approaches;development reflection application for backward roll motion based on pose recognition;and improve the quality of recommender systems based on collaborative filtering with missing data imputation.
In recent years, people got more interested in the research of the evolution of human-computer interaction (HCI). Right from the transition of a text-based command line interface to a graphical user interface (GUI) th...
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Cloud computing is the very demanding technology. in current time. Cloud computing provide the all-inone solution like storage, computational machine, server, database, application in the single platform by the cloud ...
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this paper proposes a descent reward (DR) system to enhance agent's navigation and landing capabilities in the LunarLander-v2 environment provided by OpenAI. the DR system is evaluated with Heuristics Control, Lin...
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