yusuke1997/dblp-id-title huggingface dataset:
Managed ELK deployments at the Edge with OpenStack and IoTronic: an italian Smart City case study
Mobile Data Collection and Analysis in Conservation
An Intelligent Assistant for Converting City Requirements to Formal Specification
Using Innovations in Data Analytics and Smart Technologies to Fight Opioid Overdose Crisis
Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
Demonstration of Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture
Towards Automatic Semantic Models by Extraction of Relevant Information from Online Text
Generative Digital Twin for Predictive Modeling in Dynamic IoT Scenarios
Multi-Network Provisioning for Perpetual Operations in IoT-Enabled Smart Spaces
Enhancing UAV Operational Efficiency through Cloud Computing and Autopilot System Integration
A Prototype for QKD-secure Serverless Computing with ETSI MEC
Assemble, Control, and Test (ACT): A Management Framework for Indoor IoT Systems
An Online Continuous Semantic Segmentation Framework With Minimal Labeling Efforts
Identity Theft Detection in Mobile Social Networks Using Behavioral Semantics
A Case Study Using Zoom Touch Gestures: How Does the Size of a Training Dataset Impact User's Age Estimation Accuracy in Smartphones?
Neural Architecture and Feature Search for Predicting the Ridership of Public Transportation Routes
Data Monetization Through Tailored Demand Representation
IoT End-User Service Composition via a Visual Programming Interface
A Reference Architecture for Smart and Software-Defined Buildings
Towards Estimating UV Exposure Using GPS Signal Strength from a Carrying Smartphone
FishBuddy: Promoting Student Engagement in Self-Paced Learning through Wearable Sensing
Short-Term Transit Decision Support System Using Multi-task Deep Neural Networks
Securing Federated Learning from Distributed Backdoor Attacks via Maximal Clique and Dynamic Reputation System
A MEC Approach to Improve QoE of Video Delivery Service in Urban Spaces
Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach
Classifying Smart Objects using capabilities
Inference-as-a-service: A situation inference service for context-aware computing
Privacy-preserving Real-world Video Anomaly Detection
On Realizing Stateful FaaS in Serverless Edge Networks: State Propagation
System Modeling and Co-Emulation for Distributed Cyber-Physical System Environments
Smart Oracle Based Building Management System
PhD Forum: Abstract: Data Driven EV Charging in Smart Neighbourhood
Towards Trustless Prediction-as-a-Service
FitBeat: A Lightweight System for Accurate Heart Rate Measurement during Exercise
Cloud Computing Management Architecture for Digital Health Remote Patient Monitoring
Managing Real-Time Mobile Applications in Reconfigurable Industrial Cloud-to-Things Systems
Demo: Bostonhood: A Multi-criteria Platform for Ranking City Neighborhoods
On the Use of LSTM Networks for Predictive Maintenance in Smart Industries
On-demand gateway broadcast scheme for connecting mobile ad hoc networks to the Internet
A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices
Assessing Jitter in Sensor Time Series from Android Mobile Devices
PhD Forum: Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving
Performance Improvement of File Operations on OverlayFS for Containers
Resource Allocation in Quantum Networks for Distributed Quantum Computing
IEEE International Conference on Smart Computing, SMARTCOMP 2024, Osaka, Japan, June 29 - July 2, 2024
An Efficient Edge Deep Learning Computer Vision System to Prevent Sudden Infant Death Syndrome
VI-Based Appliance Classification Using Aggregated Power Consumption Data
GNN-RL: Dynamic Reward Mechanism for Connected Vehicle Security using Graph Neural Networks and Reinforcement Learning
Accurate Models of Energy Harvesting for Smart Environments
Matching Technological & Societal Innovations: The Social Design of a Mobile Collaborative App for Urban Noise Monitoring
Towards a Framework for Intelligent Sampling: Comprehensive Review of Challenges, AI Techniques, and Tools
kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022, Helsinki, Finland, June 20-24, 2022
Analytics of IIoT Data Using a NoSQL Datastore
IEEE International Conference on Smart Computing, SMARTCOMP 2021, Irvine, CA, USA, August 23-27, 2021
Data Acquisition and Analysis for Improving the Utility of Low Cost Soil Moisture Sensors
Hardware/Software Security Patches for the Internet of Things
Model-Based Operator Placement for Data Processing in IoT Environments
Resilient NFV Service Chains under Energy-Aware Attacks: A Bilevel Optimization Approach
Few-Shot Learning for Brain Tumour Classification
Early Identification of Oil Palm Health Based on UAV Images Using Feature-Based Machine Learning
Quantitative Analysis of Deep Leaf: a Plant Disease Detector on the Smart Edge
Secure Onboarding of Devices and Applications to a Smart Decentralized Ecosystem
An IoT Testbed for the Software Defined City Vision: The #SmartMe Project
Comparing Machine Learning and Deep Learning for IoT Botnet Detection
HeteroSys: Heterogeneous and Collaborative Sensing in the Wild
Predicting Parking Occupancy by FPGA-Accelerated DNN Models at Fog Layer
Facial expression recognition via deep learning
Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach
A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning
Relevancy Classification of Multimodal Social Media Streams for Emergency Services
A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting
BRUSCHETTA: An IoT Blockchain-Based Framework for Certifying Extra Virgin Olive Oil Supply Chain
Synchrophasor Data Event Detection using Unsupervised Wavelet Convolutional Autoencoders
Detecting Health and Behavior Change by Analyzing Smart Home Sensor Data
BlocHIE: A BLOCkchain-Based Platform for Healthcare Information Exchange
Coordinated Thermal Safety Attack and Defense on EV Battery Management Systems
Designing an Efficient Cloud-to-Things Continuum for Real-Time Mobile Applications
Solar Power Prediction for Smart Community Microgrid
Contextual Intelligence for Anomaly Detection in Zero Trust Based Architectures
CoDEm: Conditional Domain Embeddings for Scalable Human Activity Recognition
TACSim: An Extendable Simulator for Task Allocation Mechanisms in CrowdSensing
DEMO: Beyond Doppler - Demonstrating Phase-Based Ego-Speed Estimation on Embedded mmWave Radar
Human Activity Recognition Through Probabilistic Data Fusion
Gas mixture control system for oxygen therapy in pre-term infants
Akoman: Hardware-Level Malware Detection Using Discrete Wavelet Transform
A Domain-Specific Tool for the Creation of Machine Learning Models with Imbalanced Datasets
User Engagement Engine for Smart City Strategies
A Privacy-Aware Architecture to Share Device-to-Device Contextual Information
MetroTime: Travel Time Decomposition under Stochastic Time Table for Metro Networks
WiP: Smart Services for an Augmented Campus
Smart Beamforming: Leveraging In-Memory Computing for Intelligent Wireless Systems
Optimizing Coordinated Evacuation Route Planning Based on Linear Programming
Smart Edge-Enabled Traffic Light Control: Improving Reward-Communication Trade-offs with Federated Reinforcement Learning
3D Printing and Blockchains for an Emergency Response Supply Chain
Demonstrating Optimized Delegation between AI and Human Agents
A Context-Aware Strategy to Properly Use IoT-Cloud Services
Investigating Computational Aspects and Potential Challenges in Implementing Urban Air Mobility
Rendering 3D City for Smart City Digital Twin
Enhancing Reliability of Vehicular Participatory Sensing Network: A Bayesian Approach
Network Monitoring in Federated Cloud Environment
Client-Catered Control of Engineered Spaces with Software-Defined Sensors and Actuators
A Model Based Decision Support System for Smart Cities
Fog-Enabled Industrial WSNs to Monitor Asynchronous Electric Motors
RoomsSan: Indoor Layout Reconstruction via Reflective Path
Contrast-Free Ischemic Stroke Assessment: Generating CBV Maps from NCCT Scans Using Deep Learning Models
Machine Learning Equity and Accuracy in an Applied Justice Setting
I Am the UAV: A Wearable Approach for Manipulation of Unmanned Aerial Vehicle
Fog Computing for the Internet of Mobile Things: Issues and Challenges
Harmful algal blooms prediction with machine learning models in Tolo Harbour
Dissecting the Problem of Individual Home Power Consumption Prediction using Machine Learning
AVATAR: Autonomy Aware Routing for On-demand Transit Applications
An IoT-based Framework to Protect Cultural Heritage Buildings
A Roundabout Video Dataset for Vehicle Trajectory Prediction
Iterative Recommendations Based on Monte Carlo Sampling and Trust Estimation in Multi-Stage Vehicular Traffic Routing Games
DILoCC: An approach for Distributed Incremental Learning across the Computing Continuum
Reputation-based multiplayer fairness for ad-hoc cloudlet-assisted cloud gaming system
Event Information Search Method from SNS Data considering Privacy of User's Location Information
On Data Summarization for Machine Learning in Multi-organization Federations
Anonymous Authentication Scheme with Decentralized Multi-Authorities
A Workflow for Designing an On-line Supervisor for Cyber-Physical Systems: a Case Study
Energy-efficient reliable data gathering scheme based on Enhanced Reed-Solomon code for wireless sensor networks
PhD Forum: Deep Neural Networks at the Edge
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters
Online Energy Management in Commercial Buildings using Deep Reinforcement Learning
Digital City Testbed Center: Using campuses as smart city testbeds in the binational Cascadia region
PhD Forum: Towards Trust-Aware Routing of Ground Vehicle Drivers to Mitigate Travel Time
Energy-Efficient Mapping for a Network of DNN Models at the Edge
Care-Chair: Sedentary Activities and Behavior Assessment with Smart Sensing on Chair Backrest
Detecting False Data Injection in a Large-Scale Water Distribution Network
Sales Volume Prediction and Application to Materials Trading
Sensitivity Analysis of MEMS Accelerometer for the Vibration Measurement of VTOL UAV
Apis: Architecture for Federated Power Management
Identifying the Context of Hurricane Posts on Twitter using Wavelet Features
Joint Device Association and Resource Allocation for Time-critical IoT Applications in MEC-empowered 5G Networks
AProbing: Estimating available bandwidth using ACK pair probing
On Maximizing Task Throughput in IoT-Enabled 5G Networks Under Latency and Bandwidth Constraints
Automatic segmentation of brain MR images for patients with different kinds of epilepsy
Performance Evaluation the 6top Protocol and Analysis of its Interplay with Routing
Towards Reliability-Based Decision Making in Cyber-Physical Systems
Tiny Neural Networks for Environmental Predictions: An Integrated Approach with Miosix
Participant Selection for Information Diffusion Based on Topic and Emotion Preference Learning
Single Camera-enabled Reinforcement Learning Traffic Signal Control System supporting Life-long Assessment
Quantification of Dairy Farm Energy Consumption to Support the Transition to Sustainable Farming
PhD Forum: Scalable Energy Disaggregation: Data, Dimension and Beyond
Toward a portability framework with multi-level models for wireless sensor network software
A Homomorphic Signature Scheme for Quadratic Polynomials
Software Engineering Issues for Cyber-Physical Systems
Scaling up Deep Reinforcement Learning for Intelligent Video Game Agents
SWIMS: the Smart Wastewater Intelligent Management System
Federated Continual Learning through distillation in pervasive computing
Energy Efficient Multi-User Communications Aided by Reconfigurable Intelligent Surfaces and UAVs
Virtualization and Migration at the Network Edge: An Overview
Keynote 2 - Computational Sustainability: Computing for a Better World and a Sustainable Future
ChatterHub: Privacy Invasion via Smart Home Hub
µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers
Chimera: Context-Aware Splittable Deep Multitasking Models for Edge Intelligence
Federation of Smart City Services via APIs
Deployment-Time Multi-Cloud Application Security
Security Reconsideration and Efficiency Evaluation of Decentralized Multi-authority Anonymous Authentication Scheme
Minimum Number of Transmission Slots in D2D-Assisted Wireless Coded Broadcast
Contactless Physiological Health Sensing: Challenges, Solutions & Opportunities
The Internet of Bio-Nano Things - Smart Computing in the Human Body
Towards Enhanced Urban Management: Introducing A Model for Autonomic Smart City Management
On the Impact of Generative Policies on Security Metrics
Kernel sparse representation based classification for undersampled problem
Account Takeover Detection on E-Commerce Platforms
Industry 4.0 Solutions for Interoperability: a Use Case about Tools and Tool Chains in the Arrowhead Tools Project
Cybersecurity Guidances for Medical Devices: An MDCG and FDA Regulatory Comparison
On the Feasibility of Attribute-Based Encryption on Constrained IoT Devices for Smart Systems
A hybrid fusion scheme for color face recognition
Explainable Deep Learning Models for Dynamic and Online Malware Classification
Boosting Farm Efficiency: An Ant Colony Optimization Approach to Smart Agriculture
A Scalable Telemedicine System for Real-Time Chronic Disease Patient Monitoring
A Deep Learning Approach to Protecting Cultural Heritage Buildings Through IoT-Based Systems
WiP: An Architecture for Disruption Management in Smart Manufacturing
Robust Detection of Social Isolation in Older Adults by Combining Biometrics with Social Interaction Data
Patient Self-Assessment of 3D Printed Upper-Extremity Prosthetics
STAR: A Scalable Self-taught Learning Framework for Older Adults' Activity Recognition
Redefining Node Centrality for Task Allocation in Mobile CrowdSensing Platforms
PhD Forum: Exploring Urban Air Mobility Applications by Optimizing Operations Through Computational Means
Human Experiences in Teaching Robots: Understanding Agent Expressivity and Learning Effects through a Virtual Robot Arm
Recent Advances in Plant Diseases Detection With Machine Learning: Solution for Developing Countries
Cyber Framework for Steering and Measurements Collection Over Instrument-Computing Ecosystems
Face hallucination via position-based dictionaries coding in kernel feature space
A Layered Blockchain Framework for Healthcare and Genomics
A new data aggregation technique in multi-sink wireless sensor networks
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity
Towards a Smart Campus Through Participatory Sensing
Jointly Compressing and Caching Data in Wireless Sensor Networks
VSEW: an early warning system for volcanic and seismic events
State-Based Modeling and Anomaly Detection in Industrial Systems Using DEVS
A High Throughput Reader Scheduling Algorithm for Large RFID Systems in Smart Environments
Workshop Keynote #2: Deploying low-cost air quality monitoring networks from scratch
Insights on the Development of PRACTICE, A Research-Oriented Healthcare Platform
Using an ASG Based Generative Policy to Model Human Rules
PhD Forum: Human Activity Recognition in Smart Environments
OpenCyberCity Testbed's Recent Progress in Smart City Management
DigiGuide: A DT-Based Occupant Guiding System for Optimizing Comfort and Energy Consumption
A Novel Two-Step Fall Detection Method Using Smartphone Sensors
EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices
A Fast Algorithm for Detecting Hidden Objects by Smart Mobile Robots
Performance Evaluation of Switching Between WiFi and LiFi under a Common Virtual Network Interface
Using Delay Tolerant Networks as a Backbone for Low-Cost Smart Cities
Forensic Analysis of Industrial Critical Systems: The Costa Concordia's Voyage Data Recorder Case
Knowledge Infusion for Context-Aware Sensor-Based Human Activity Recognition
Neural Networks at the Edge
Privacy-Preserving Data Falsification Detection in Smart Grids using Elliptic Curve Cryptography and Homomorphic Encryption
PhD Forum: Securing Federated Learning Against Targeted Attackers using Weight Similarity
Tracking Underground Moving Targets with Wireless Seismic Networks
A Federated Learning Approach for Distributed Human Activity Recognition
Energy-aware Demand Selection and Allocation for Real-time IoT Data Trading
Blockchain-Based Publicly Verifiable Cloud Storage
Transmit Only: An Ultra Low Overhead MAC Protocol for Dense Wireless Systems
CapChain: A Privacy Preserving Access Control Framework Based on Blockchain for Pervasive Environments
IEEE International Conference on Smart Computing, SMARTCOMP 2025, Cork, Ireland, June 16-19, 2025
Detecting Childcare Activities Using an Off-the-shelf Smartwatch
TRANSIT-GYM: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
Multi-agent approach for developing a digital twin of wheat
PhD Forum: Socially Optimal Multi-modal Routing Platform
Improving Product Quality Control in Smart Manufacturing through Transfer Learning-Based Fault Detection
Km4City Smart City API: An Integrated Support for Mobility Services
Estimating Perceived Fatigue Using Machine Learning and Biomechanical Features from Wearable Sensors
Home Activity Recognition Using Aggregated Electricity Consumption Data
A Smart Sensor-Based Watering Automation System for Nursery Plants
SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation
Internet of Things and Blockchain Technologies for Food Safety Systems
DA-BERT: Enhancing Knowledge Selection in Dialog via Domain Adapted BERT with Dynamic Masking Probability
New LDoS Attack in Zigbee Network and its Possible Countermeasures
Mobilytics- An Extensible, Modular and Resilient Mobility Platform
A Context-Aware Mashup Recommender Based on Social Networks Data Mining and User Activities
Towards Estimating Emotions and Satisfaction Level of Tourist Based on Eye Gaze and Head Movement
Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach
Digital Technologies and Dynamic Resource Management
A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems
Decentralized Multi-authority Anonymous Authentication for Global Identities with Non-interactive Proofs
2023 IEEE International Conference on Smart Computing, SMARTCOMP 2023, Nashville, TN, USA, June 26-30, 2023
Anomaly Detection: Under the [data] Hood in Smart Cars
Achieving Efficient Similar Document Search over Encrypted Data on the Cloud
Scheduling Continuous Operators for IoT edge Analytics with Time Constraints
What You See is Where You are - Localize a Mobile Device with Its Camera and WiFi
DP-MTFL: Differentially Private Multi-Tier Federated Learning for IoT applications
Smartwatch Application for Horse Gaits Activity Recognition
Bringing Energy into Utility-Privacy Tradeoff in IoT
UAV-Aided Optimal Physical Layer Security in Integrated Satellite and Terrestrial Networks
GreenPeaks: Employing Renewables to Effectively Cut Load in Electric Grids
Analyzing Data Privacy for Edge Systems
F 3 S: Free Flow Fever Screening
Crowd Flow Prediction from Mobile Traces Through Time Series PoI Stay Counts
Unsupervised Mechanisms for Optimizing On-Time Performance of Fixed Schedule Transit Vehicles
A MAP estimation based segmentation model for speckled images
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing
DEMO: EaseTalk: An LLM-Driven Speech Practice Tool for Real-Life Scenarios
Context-Sensitive Policy Based Security in Internet of Things
Real-Time Ambient Noise Subsurface Imaging in Distributed Sensor Networks
Calibrating Real-World City Traffic Simulation Model Using Vehicle Speed Data
PhD Forum: Improving the Security for Storing the Big Data in Cloud Environment
Analysis, Hardware Specification and Design of a Programmable Performance Monitoring Unit (PPMU) for RISC-V ECUs
iFair: Achieving Fairness in the Allocation of Scarce Resources for Senior Health Care
Comparison of NoSQL Datastores for Large Scale Data Stream Log Analytics
Whetstone: Reliable Monitoring of Cloud Services
Message from the DM-SmartHealth 2024 Co-Chairs; SMARTCOMP 2024
Demo: Get Spatio-Temporal Flows from GPS Data
SrPPG: Semi-Supervised Adversarial Learning for Remote Photoplethysmography with Noisy Data
A Scalable Distributed System for Precision Irrigation
Power Saving in Open RAN by Using Advanced CPU Scheduling Algorithm
Learn to Simulate Macro- and Micro-scopic Human Mobility
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment
KissLoc: A Spatio-temporal Kissing Recognition System Using Commercial Smart Glasses
PhD Forum: Strengthening Social Emotional Skills for Individuals with Developmental Disabilities Through Virtual Reality Games
A Wearable System for Remote Monitoring of the Treatments of Musculoskeletal Disorder
Profiling Contributors in the Human-Computer Cloud
Federated Learning for Sleep Detection Problems
A Hybrid Recommender System for Cultural Heritage Promotion
Multi-Source Data Integration and IoT-Based Sensing for Crop Yield Modelling and Optimisation
Mining Social Media to Understand User Opinions on IoT Security and Privacy
Cellular-based Indoor Localization with Adapted LLM and Label-aware Contrastive Learning
Physiological-based emotion recognition with IRS model
Certia: Certifying Interface Automata for Cyber-Physical Systems
On the Role of Re-Descending M-Estimators in Resilient Anomaly Detection for Smart Living CPS
Distributed Control Application for Smart Grids using RIAPS
A Decentralized System of Genome Secret Search Implemented with Fully Homomorphic Encryption
Water Quality Assessment with Thermal Images
An Exploratory Study of Marking Menu Selection by Visually Impaired Participants
Optimizing IoT-based Human Activity Recognition on Extreme Edge Devices
Virtual Study Partner: A Cognitive Training Tool in Education
Health Care Fraud Detection with Community Detection Algorithms
A Secure Data Ecosystem Testbed
Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks
DEMO: Demonstrating the Impact of CPU Scheduling on Power Consumption in Virtualized Open RAN
A Novel Smart System for Contaminants Detection and Recognition in Water
PhD Forum: Forecasting Public Transit Using Neural Network Models
EventRec: Personalized Event Recommendations for Smart Event-Based Social Networks
Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets
AMPHI: Adaptive Mission-Aware Microservices Provisioning in Heterogeneous IoT Settings
Continuous Green2 Waves for Surfin Smart Cities
A Deep Learning Approach for Indoor User Localization in Smart Environments
Discovering Multi-density Urban Hotspots in a Smart City
Keynote #1: Architecting the Systems of the Future: A Research Agenda
Designing Wearable Sensor-Based Analytics for Quantitative Mobility Assessment
DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information
PhD Forum: Multimodal IoT and EMR Based Smart Health Application for Asthma Management in Children
Beyond Training: A Personalized Holistic Injury Prediction in Triathletes
Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators
Internet of Things in SPA Medicine: A General Framework to Improve User Treatments
MobIntel: Sensing and Analytics Infrastructure for Urban Mobility Intelligence
Ensuring energy efficient coverage for participatory sensing in urban streets
Improving Vehicle Safety Through a Fog Collaborative Infrastructure
Incident Detection by Spatiotemporal Analysis of GPS Data
Analyzing Rhabdomyosarcoma using the Multimodal Clustering Approach (DReiM)