The proceedings contain 12 papers. The special focus in this conference is on Deep-learning based Computer Vision for UAV. The topics include: May radiomic data predict prostate cancer aggressiveness?;training deep le...
ISBN:
(纸本)9783030299293
The proceedings contain 12 papers. The special focus in this conference is on Deep-learning based Computer Vision for UAV. The topics include: May radiomic data predict prostate cancer aggressiveness?;training deep learning models via synthetic data: Application in unmanned aerial vehicles;Computer vision and deep learning-enabled UAVs: Proposed use cases for visually impaired people in a smart city;preface;retinal blood vessels segmentation: Improving state-of-the-art deep methods;UAV image based crop and weed distribution estimation on embedded GPU boards;An integrated precision farming application based on 5G, UAV and deep learning technologies;Visual communication with UAV: Use cases and achievements;a new hybrid method for gland segmentation in histology images;residual convolutional neural networks to automatically extract significant breast density features.
The proceedings contain 99 papers. The topics discussed include: application of a genetic technique for selection of the best features and machinelearning for malware detection on android;a survey of optimized compil...
ISBN:
(纸本)9798331505790
The proceedings contain 99 papers. The topics discussed include: application of a genetic technique for selection of the best features and machinelearning for malware detection on android;a survey of optimized compiler using advanced machinelearning and deep learning techniques;cognitive computing in English language classrooms;a systematic analysis on security and anomaly detection using machinelearning in cloud computing;creation of geospatial database farming system using machinelearning;optimizing natural language understanding: a comprehensive study of Python’s top libraries;a machinelearning approach to dairy farm energy disaggregation;a novel mechanism for identifying malicious and phishing URLs using machinelearning classifiers;studying the effectiveness of online college education in India from student feedback;and enhanced liver disease prediction using ensemble learning.
The proceedings contain 12 papers. The special focus in this conference is on Context-Aware Surgical Theaters. The topics include: A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Aut...
ISBN:
(纸本)9783030326944
The proceedings contain 12 papers. The special focus in this conference is on Context-Aware Surgical Theaters. The topics include: A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study;Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites;preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories;guided Unsupervised Desmoking of Laparoscopic Images Using Cycle-Desmoke;unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration;live Monitoring of Haemodynamic Changes with Multispectral Image Analysis;towards a Cyber-Physical Systems Based Operating Room of the Future;Deep Transfer learning for Whole-Brain FMRI Analyses;knowledge Distillation for Semi-supervised Domain Adaptation;Relevance Vector machines for Harmonization of MRI Brain Volumes Using Image Descriptors.
The proceedings contain 24 papers. The special focus in this conference is on machinelearning for Medical Image Reconstruction. The topics include: Measuring CT Reconstruction Quality with Deep Convolutional Neural N...
ISBN:
(纸本)9783030338428
The proceedings contain 24 papers. The special focus in this conference is on machinelearning for Medical Image Reconstruction. The topics include: Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks;deep learning Based Metal Inpainting in the Projection Domain: Initial Results;flexible Conditional Image Generation of Missing Data with Learned Mental Maps;Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation;stain Style Transfer Using Transitive Adversarial Networks;Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer;Deep learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors;Task-GAN: Improving Generative Adversarial Network for Image Reconstruction;gamma Source Location learning from Synthetic Multi-pinhole Collimator Data;Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging;neural Denoising of Ultra-low Dose Mammography;image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging;image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy;TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis;PredictUS: A Method to Extend the Resolution-Precision Trade-Off in Quantitative Ultrasound Image Reconstruction;fast Dynamic Perfusion and Angiography Reconstruction Using an End-to-End 3D Convolutional Neural Network;APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network;Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network;Deep learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator;joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions;modeling and Analysis Brain Development via Discriminative Dictionary learning;Virtual Thin Slice: 3D Conditional GAN-based Super-Resolution for CT Slic
How can we ensure that Ubiquitous computing (UbiComp) research outcomes are ethical, fair, and robust? While fairness in machinelearning (ML) has gained traction in recent years, it remains unexplored, or sometimes a...
详细信息
ISBN:
(纸本)9798400710582
How can we ensure that Ubiquitous computing (UbiComp) research outcomes are ethical, fair, and robust? While fairness in machinelearning (ML) has gained traction in recent years, it remains unexplored, or sometimes an afterthought, in the context of pervasive and ubiquitous computing. This workshop aims to discuss fairness in UbiComp research and its social, technical, and legal implications. From a social perspective, we will examine the relationship between fairness and UbiComp research and identify pathways to ensure that ubiquitous technologies do not cause harm or infringe on individual rights. From a technical perspective, we will initiate a discussion on model generalization and robustness, as well as data processing methods to develop bias mitigation approaches tailored to UbiComp research. From a legal perspective, we will examine how new policies shape our community's work and future research. Building on the success of the First FairComp Workshop(1) at UbiComp 2023, we have established a vibrant community centered around the topic of fair, robust, and trustworthy algorithms within UbiComp, while also charting a clear path for future research endeavors in this field.
The proceedings contain 25 papers. The topics discussed include: sentiment analysis using machinelearning and deep learning models;classification of apple growing region by vis-near infrared spectroscopy coupled with...
ISBN:
(纸本)9798350389180
The proceedings contain 25 papers. The topics discussed include: sentiment analysis using machinelearning and deep learning models;classification of apple growing region by vis-near infrared spectroscopy coupled with machinelearning and deep learning methods;song sense: delving into music moods through machinelearning;AI-driven cryptographic algorithm identification: exploring methodologies and practical applications;enhanced pesticide exposure diagnosis: a machinelearning approach;implementation and performance evaluation of quantum computing based on practical experiments;detecting irony in Arabic: from emotion AI recognition to cognitive ai functionality;and automated protocol reverse engineering with message format inference.
The proceedings contain 65 papers. The topics discussed include: research on trajectory planning of denture milling machine tools;voice modulation in audiobook narration;industrial computed tomography based intelligen...
ISBN:
(纸本)9798331518127
The proceedings contain 65 papers. The topics discussed include: research on trajectory planning of denture milling machine tools;voice modulation in audiobook narration;industrial computed tomography based intelligent non-destructive testing method for power capacitor;using explainability techniques to assist android malware detection models in resisting adversarial attacks;comparative study of ensemble stacking method for neurodegenarative disease classification;leveraging semantic similarity for non-conformity management in industrial environments;promoting culture in Peru through a graph-based recommender system;ensemble learning: an indispensable ingredient for enhancing regression tree performance;development of mobile application for skin cancer detection using deep learning models;and towards reconstructing the filamentary structure of an only partially visible cosmic web with deep learning and 3D cosmological simulations.
The proceedings contain 157 papers. The topics discussed include: a self-scaling dynamic blockchain model for IoT;advanced generative ai methods for academic text summarization;data augmentation for entity resolution:...
ISBN:
(纸本)9798350372977
The proceedings contain 157 papers. The topics discussed include: a self-scaling dynamic blockchain model for IoT;advanced generative ai methods for academic text summarization;data augmentation for entity resolution: a comparative evaluation;mitigation of user-prompt bias in large language models: a natural language processing and deep learning based framework;evaluating the effectiveness of an object detection pipeline to support surveillance of unintended passage;automated scripting for real-time responses to suspicious user actions;highway merging control using multi-agent reinforcement learning;using machinelearning to predict student success in undergraduate engineering programs;NeuroAqua: developing an optimized artificial intelligence and Internet of Things-based aquaponics system;and precision fish farming to mitigate pond water quality through IoT.
The proceedings contain 128 papers. The special focus in this conference is on Data Science, machinelearning and Applications. The topics include: Digitization of Monuments – An Impact on the Tourist Experience with...
ISBN:
(纸本)9789819780303
The proceedings contain 128 papers. The special focus in this conference is on Data Science, machinelearning and Applications. The topics include: Digitization of Monuments – An Impact on the Tourist Experience with Special Reference to Hampi;resume Parser Using machinelearning;IOT Based Smart Hydroponics System;comparative Study of machinelearning and Deep learning Techniques for Cancer Disease Detection;High Thruput Modulation Approaches Used in Next Generation WiF’s Under Multi-impairments Environments with MATLAB Codes;skin Disease Detection;root Vegetable Crop Recommendation System Based on Soil Properties and Environmental Factors;deep learning Model Development for an Automatic Healthcare Edge computing Application;Empathetic Conversations in Mental Health: Fine-Tuning LLMs for Supportive AI Interactions;exploring Block Chain Technology with Applications, and Future Prospects;a Comprehensive Review of Soft computing Enabled Techniques for IoT Security: State-of-the-Art and Challenges Ahead;Performance Analysis of machinelearning Algorithms on Imbalanced Datasets Using SMOTE Technique;An AI Based Nutrient Tracking and Analysis System;power Saving Mechanism for Street Lights System Using IoT;Automatic Login System Using ATTINY85 IC;forecasting Stock Prices: A Comparative Analysis of machinelearning, Deep learning, and Statistical Approaches;smart Vision Bot;robots in Logistics: Apprehension of Current Status and Future Trends in Indian Warehouses;smart Healthcare: Enhancing Patient Well-Being with IoT;Detection of B-ALL Using CNN Model and Deep learning;a Comprehensive Analysis for Advancements and Challenges in Deep learning Models for Image Processing;a Comprehensive Survey on Enhancing Patient Care Through Deep learning and IoT-Enabled Healthcare Innovations;attention-Based Image Caption Generation.
The proceedings contain 128 papers. The special focus in this conference is on Data Science, machinelearning and Applications. The topics include: Digitization of Monuments – An Impact on the Tourist Experience with...
ISBN:
(纸本)9789819780426
The proceedings contain 128 papers. The special focus in this conference is on Data Science, machinelearning and Applications. The topics include: Digitization of Monuments – An Impact on the Tourist Experience with Special Reference to Hampi;resume Parser Using machinelearning;IOT Based Smart Hydroponics System;comparative Study of machinelearning and Deep learning Techniques for Cancer Disease Detection;High Thruput Modulation Approaches Used in Next Generation WiF’s Under Multi-impairments Environments with MATLAB Codes;skin Disease Detection;root Vegetable Crop Recommendation System Based on Soil Properties and Environmental Factors;deep learning Model Development for an Automatic Healthcare Edge computing Application;Empathetic Conversations in Mental Health: Fine-Tuning LLMs for Supportive AI Interactions;exploring Block Chain Technology with Applications, and Future Prospects;a Comprehensive Review of Soft computing Enabled Techniques for IoT Security: State-of-the-Art and Challenges Ahead;Performance Analysis of machinelearning Algorithms on Imbalanced Datasets Using SMOTE Technique;An AI Based Nutrient Tracking and Analysis System;power Saving Mechanism for Street Lights System Using IoT;Automatic Login System Using ATTINY85 IC;forecasting Stock Prices: A Comparative Analysis of machinelearning, Deep learning, and Statistical Approaches;smart Vision Bot;robots in Logistics: Apprehension of Current Status and Future Trends in Indian Warehouses;smart Healthcare: Enhancing Patient Well-Being with IoT;Detection of B-ALL Using CNN Model and Deep learning;a Comprehensive Analysis for Advancements and Challenges in Deep learning Models for Image Processing;a Comprehensive Survey on Enhancing Patient Care Through Deep learning and IoT-Enabled Healthcare Innovations;attention-Based Image Caption Generation.
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