| Nome |
# |
|
An experimental characterization of reservoir computing in ambient assisted living applications, file e0d6c92c-b082-fcf8-e053-d805fe0aa794
|
650
|
|
A learning system for automatic Berg Balance Scale score estimation, file e0d6c92c-5e24-fcf8-e053-d805fe0aa794
|
602
|
|
Human-Enabled Edge Computing: Exploiting the Crowd as a Dynamic Extension of Mobile Edge Computing, file e0d6c92b-d88f-fcf8-e053-d805fe0aa794
|
497
|
|
Robotic Ubiquitous Cognitive Ecology for Smart Homes, file e0d6c92c-be17-fcf8-e053-d805fe0aa794
|
378
|
|
Collection of Data with Drones in Precision Agriculture: Analytical Model and LoRa Case Study, file e0d6c931-5c3e-fcf8-e053-d805fe0aa794
|
290
|
|
Localizing Tortoise Nests by Neural Networks, file e0d6c928-5b7f-fcf8-e053-d805fe0aa794
|
180
|
|
A cognitive robotic ecology approach to self-configuring and evolving AAL systems, file e0d6c92c-8bb2-fcf8-e053-d805fe0aa794
|
180
|
|
Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems, file e0d6c926-4482-fcf8-e053-d805fe0aa794
|
148
|
|
Measuring security in IoT communications, file e0d6c92c-f6db-fcf8-e053-d805fe0aa794
|
148
|
|
Estimating Energy Savings in Smart Street Lighting by Using an Adaptive Control System, file e0d6c926-4483-fcf8-e053-d805fe0aa794
|
119
|
|
Dynamic Bayesian network for crop growth prediction in greenhouses, file e0d6c92e-7d0f-fcf8-e053-d805fe0aa794
|
70
|
|
null, file e0d6c927-6a9a-fcf8-e053-d805fe0aa794
|
50
|
|
Smart environments and context-awareness for lifestyle management in a healthy active ageing framework, file e0d6c92c-1366-fcf8-e053-d805fe0aa794
|
48
|
|
Secure key design approaches using entropy harvesting in wireless sensor network: A survey, file e0d6c92b-f123-fcf8-e053-d805fe0aa794
|
40
|
|
Quality of service optimization in solar cells-based energy harvesting wireless sensor networks, file e0d6c92b-ef75-fcf8-e053-d805fe0aa794
|
23
|
|
Reliability and human factors in Ambient Assisted Living environments, file e0d6c92b-f954-fcf8-e053-d805fe0aa794
|
20
|
|
Mobile crowd sensing management with the ParticipAct living lab, file e0d6c92b-f135-fcf8-e053-d805fe0aa794
|
9
|
|
A Probabilistic Model for the Deployment of Human-Enabled Edge Computing in Massive Sensing Scenarios, file e0d6c92f-b7aa-fcf8-e053-d805fe0aa794
|
8
|
|
Sensing the cities with social-aware unmanned aerial vehicles, file e0d6c92b-f132-fcf8-e053-d805fe0aa794
|
7
|
|
Wild animals' biologging through machine learning models, file e0d6c92b-d86c-fcf8-e053-d805fe0aa794
|
5
|
|
Bayesian sigmoid-type time series forecasting with missing data for greenhouse crops, file c812ec58-58eb-416f-a264-e5fae04e4c4c
|
4
|
|
Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction, file e0d6c92b-b6d6-fcf8-e053-d805fe0aa794
|
4
|
|
Collaborative Service Discovery in Mobile Social Networks, file e0d6c92c-b4e1-fcf8-e053-d805fe0aa794
|
4
|
|
A social-driven edge computing architecture for mobile crowd sensing management, file e0d6c92d-8987-fcf8-e053-d805fe0aa794
|
4
|
|
Optimization strategies for the selection of mobile edges in hybrid crowdsensing architectures, file e0d6c92f-d8f2-fcf8-e053-d805fe0aa794
|
4
|
|
A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps, file e3b79f3c-4c44-41b6-af63-3b2f1e3ee42e
|
4
|
|
A Service-Oriented ZigBee Gateway for Smart Environments, file e0d6c926-b8dc-fcf8-e053-d805fe0aa794
|
3
|
|
A Social-Based Approach to Mobile Edge Computing, file e0d6c92b-20a0-fcf8-e053-d805fe0aa794
|
3
|
|
An Integration Gateway for Sensing Devices in Smart Environments, file e0d6c92b-fbf1-fcf8-e053-d805fe0aa794
|
3
|
|
null, file e0d6c92c-f788-fcf8-e053-d805fe0aa794
|
3
|
|
IoT based dynamic Bayesian prediction of crop evapotranspiration in soilless cultivations, file 27c63638-448c-4f64-9203-28cb88401c60
|
2
|
|
Precision agriculture to improve the monitoring and management of tomato insect pests, file 45fcb122-ebdb-4f33-91ef-966d6f530145
|
2
|
|
Robust Distributed Storage of Residue Encoded Data, file e0d6c926-14bd-fcf8-e053-d805fe0aa794
|
2
|
|
Engineering Energy Efficient Visual Sensor Network Applications Using Skeletons, file e0d6c926-447b-fcf8-e053-d805fe0aa794
|
2
|
|
Evaluation of localization and activity recognition systems for ambient assisted living: The experience of the 2012 EvAAL competition, file e0d6c926-4a67-fcf8-e053-d805fe0aa794
|
2
|
|
Technological aspects of the urban innovation project of the neighborhood “I Passi” in Pisa, file e0d6c92a-f2d0-fcf8-e053-d805fe0aa794
|
2
|
|
null, file e0d6c92b-800c-fcf8-e053-d805fe0aa794
|
2
|
|
null, file e0d6c92b-c85e-fcf8-e053-d805fe0aa794
|
2
|
|
An artificial patient for pure-tone audiometry, file e0d6c92b-e503-fcf8-e053-d805fe0aa794
|
2
|
|
null, file e0d6c92c-1369-fcf8-e053-d805fe0aa794
|
2
|
|
null, file e0d6c930-b2a1-fcf8-e053-d805fe0aa794
|
2
|
|
Digital Twins in Industrial IoT: A survey of the state of the art and of relevant standards, file e0d6c931-5bce-fcf8-e053-d805fe0aa794
|
2
|
|
Towards motor-based early detection of autism red flags: Enabling technology and exploratory study protocol, file e0d6c931-5c42-fcf8-e053-d805fe0aa794
|
2
|
|
Task Scheduling Stabilization for Solar Energy Harvesting Internet of Things Devices, file 43492c45-89c3-42e4-8373-4af20bb506ca
|
1
|
|
WoA: An Infrastructural, Web-Based Approach to Digital Agriculture, file 6129975f-2350-46b5-96f8-d5b48bd228f1
|
1
|
|
Encrypted Data Aggregation in Mobile CrowdSensing based on Differential Privacy, file a8605916-39ab-42ba-93a3-e1a16b122794
|
1
|
|
Fast recovery from database/link failures in mobile networks, file e0d6c926-1d64-fcf8-e053-d805fe0aa794
|
1
|
|
Evaluating Ambient Assisted Living Solutions: The Localization Competition, file e0d6c926-447a-fcf8-e053-d805fe0aa794
|
1
|
|
On the Need of Machine Learning as a Service for the Internet of Things, file e0d6c929-ea50-fcf8-e053-d805fe0aa794
|
1
|
|
Sensorized toys to identify the early ‘Red Flags’ of autistic spectrum disorders in preschoolers, file e0d6c92b-1ec5-fcf8-e053-d805fe0aa794
|
1
|
|
UAVs and UAV Swarms for Civilian Applications: Communications and Image Processing in the SCIADRO Project, file e0d6c92b-208f-fcf8-e053-d805fe0aa794
|
1
|
|
Statistical Energy Neutrality in IoT Hybrid Energy-Harvesting Networks, file e0d6c92b-2162-fcf8-e053-d805fe0aa794
|
1
|
|
Enhancing Mobile Edge Computing Architecture with Human-driven Edge Computing Model, file e0d6c92b-2174-fcf8-e053-d805fe0aa794
|
1
|
|
Optimal Replication of Location Information in Mobile Networks, file e0d6c92b-2289-fcf8-e053-d805fe0aa794
|
1
|
|
Anomaly Detection in the Elderly Daily Behavior, file e0d6c92b-5946-fcf8-e053-d805fe0aa794
|
1
|
|
Information technology controlled greenhouse: A system architecture, file e0d6c92b-6826-fcf8-e053-d805fe0aa794
|
1
|
|
Real-Time Anomaly Detection in Elderly Behavior with the Support of Task Models, file e0d6c92b-6831-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c92b-c272-fcf8-e053-d805fe0aa794
|
1
|
|
Intelligent smartphone audiometry, file e0d6c92b-ef72-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c92b-f958-fcf8-e053-d805fe0aa794
|
1
|
|
Multi-dimensional recursive routing with guaranteed delivery in Wireless Sensor Networks, file e0d6c92c-67a3-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c930-aa07-fcf8-e053-d805fe0aa794
|
1
|
| Totale |
3.553 |