| Nome |
# |
|
MECPerf: An Application-Level Tool for Estimating the Network Performance in Edge Computing Environments, file e0d6c92f-eb9d-fcf8-e053-d805fe0aa794
|
183
|
|
Real-time identification using gait pattern analysis on a standalone wearable accelerometer, file e0d6c92c-6e80-fcf8-e053-d805fe0aa794
|
146
|
|
Ab initio detection of fuzzy amino acid tandem repeats in protein sequences, file e0d6c927-db7b-fcf8-e053-d805fe0aa794
|
122
|
|
Tandem repeats discovery service (TReaDS) applied to finding novel cis-acting factors in repeat expansion diseases, file e0d6c927-de16-fcf8-e053-d805fe0aa794
|
119
|
|
Using RIPE Atlas for Geolocating IP Infrastructure, file e0d6c92c-d942-fcf8-e053-d805fe0aa794
|
81
|
|
Geolocation of Internet hosts: Accuracy limits through Cramer-Rao lower bound, file e0d6c92c-9f7a-fcf8-e053-d805fe0aa794
|
68
|
|
Fall detection using ultra-wideband positioning, file e0d6c92c-a19d-fcf8-e053-d805fe0aa794
|
64
|
|
NeutMon: Studying neutrality in European mobile networks, file e0d6c92c-b15e-fcf8-e053-d805fe0aa794
|
57
|
|
An On-Node Processing Approach for Anomaly Detection in Gait, file e0d6c92c-9d4c-fcf8-e053-d805fe0aa794
|
47
|
|
Posture Recognition Using the Interdistances Between Wearable Devices, file e0d6c92c-9f08-fcf8-e053-d805fe0aa794
|
41
|
|
Fall detection using a head-worn barometer, file e0d6c92c-b812-fcf8-e053-d805fe0aa794
|
38
|
|
Using an Indoor Localization System for Activity Recognition, file e0d6c92e-31d9-fcf8-e053-d805fe0aa794
|
35
|
|
null, file e0d6c92c-bdb0-fcf8-e053-d805fe0aa794
|
28
|
|
null, file e0d6c92c-bf60-fcf8-e053-d805fe0aa794
|
26
|
|
Studying forwarding differences in european mobile broadband with a net neutrality perspective, file e0d6c930-1e94-fcf8-e053-d805fe0aa794
|
16
|
|
Adapting the duty cycle to traffic load in a preamble sampling MAC for WSNs: formal specification and performance evaluation, file e0d6c927-2e04-fcf8-e053-d805fe0aa794
|
15
|
|
Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks, file e0d6c92c-9569-fcf8-e053-d805fe0aa794
|
14
|
|
A method based on UWB for user identification during gait periods, file e0d6c92d-7701-fcf8-e053-d805fe0aa794
|
14
|
|
An On-Node Processing Approach for Anomaly Detection in Gait, file e0d6c926-91ed-fcf8-e053-d805fe0aa794
|
13
|
|
null, file e0d6c928-da4a-fcf8-e053-d805fe0aa794
|
10
|
|
null, file e0d6c926-4289-fcf8-e053-d805fe0aa794
|
8
|
|
Personalized gait detection using a wrist-worn accelerometer, file e0d6c92c-6e78-fcf8-e053-d805fe0aa794
|
7
|
|
User’s Authentication Using Information Collected by Smart-Shoes, file e0d6c92e-8d22-fcf8-e053-d805fe0aa794
|
7
|
|
A worldwide study on the geographic locality of Internet routes, file e0d6c931-e96f-fcf8-e053-d805fe0aa794
|
5
|
|
Smartphone-based crowdsourcing
for network monitoring:
opportunities, challenges, and a case study, file e0d6c926-435b-fcf8-e053-d805fe0aa794
|
4
|
|
Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks, file e0d6c927-ab3d-fcf8-e053-d805fe0aa794
|
4
|
|
Posture Recognition Using the Interdistances Between Wearable Devices, file e0d6c92a-6b10-fcf8-e053-d805fe0aa794
|
4
|
|
NeutMon: Studying neutrality in European mobile networks, file e0d6c92b-33de-fcf8-e053-d805fe0aa794
|
4
|
|
Real-time identification using gait pattern analysis on a standalone wearable accelerometer, file e0d6c92c-8294-fcf8-e053-d805fe0aa794
|
4
|
|
Application-level traceroute: Adopting mimetic mechanisms to increase discovery capabilities, file e0d6c92d-bdfc-fcf8-e053-d805fe0aa794
|
4
|
|
Labeling of Activity Recognition Datasets: Detection of Misbehaving Users, file e0d6c92f-d3a6-fcf8-e053-d805fe0aa794
|
4
|
|
Application-level traceroute: adopting mimetic mechanisms to increase discovery capabilities, file e0d6c92f-e44c-fcf8-e053-d805fe0aa794
|
4
|
|
Measurement-driven design and runtime optimization in edge computing: Methodology and tools, file e0d6c931-c756-fcf8-e053-d805fe0aa794
|
4
|
|
Fall detection using ultra-wideband positioning, file e0d6c928-7df3-fcf8-e053-d805fe0aa794
|
3
|
|
Fall detection using a head-worn barometer, file e0d6c929-6d10-fcf8-e053-d805fe0aa794
|
3
|
|
Studying forwarding differences in european mobile broadband with a net neutrality perspective, file e0d6c92b-02a9-fcf8-e053-d805fe0aa794
|
3
|
|
Net neutrality in mobile broadband: A European study based on a large scale testbed, file e0d6c92d-d045-fcf8-e053-d805fe0aa794
|
3
|
|
TCP-based traceroute: An evaluation of different probing methods, file e0d6c92e-59e7-fcf8-e053-d805fe0aa794
|
3
|
|
Impact of the COVID-19 pandemic on the Internet latency: A large-scale study, file e0d6c92f-92e5-fcf8-e053-d805fe0aa794
|
3
|
|
Application-level traceroute: adopting mimetic mechanisms to increase discovery capabilities, file e0d6c931-e979-fcf8-e053-d805fe0aa794
|
3
|
|
TRStalker: an efficient heuristic for finding fuzzy tandem repeats, file e0d6c926-03b5-fcf8-e053-d805fe0aa794
|
2
|
|
Recognition of false alarms in fall detection systems, file e0d6c926-0fef-fcf8-e053-d805fe0aa794
|
2
|
|
Sensing the Internet through crowdsourcing, file e0d6c926-3a2f-fcf8-e053-d805fe0aa794
|
2
|
|
Lessons learned from the design, implementation, and management of a smartphone-based crowdsourcing system, file e0d6c926-4358-fcf8-e053-d805fe0aa794
|
2
|
|
null, file e0d6c927-6140-fcf8-e053-d805fe0aa794
|
2
|
|
null, file e0d6c927-d669-fcf8-e053-d805fe0aa794
|
2
|
|
Geolocation of Internet hosts: Accuracy limits through Cramer-Rao lower bound, file e0d6c92a-f4f5-fcf8-e053-d805fe0aa794
|
2
|
|
Monitoring of human movements for fall detection and activities recognition in elderly care using wireless sensor network: a survey, file e0d6c92c-9a87-fcf8-e053-d805fe0aa794
|
2
|
|
Personalized Gait-based AuthenticationUsing UWB Wearable Devices, file e0d6c92d-8134-fcf8-e053-d805fe0aa794
|
2
|
|
Estimation of User's Orientation via Wearable UWB, file e0d6c92f-d340-fcf8-e053-d805fe0aa794
|
2
|
|
Impact of the COVID-19 pandemic on the Internet latency: A large-scale study, file e0d6c931-d0f9-fcf8-e053-d805fe0aa794
|
2
|
|
TRStalker: an efficient heuristic for finding fuzzy tandem repeats, file e0d6c926-03b6-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c926-24bc-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c926-2ad8-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c926-2ccb-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c926-2da3-fcf8-e053-d805fe0aa794
|
1
|
|
Supporting remote reference updating through garbage collection in a mobile object system, file e0d6c926-2f12-fcf8-e053-d805fe0aa794
|
1
|
|
A hypervisor for infrastructure-enabled sensing Clouds, file e0d6c927-ce1f-fcf8-e053-d805fe0aa794
|
1
|
|
Geolocation of Internet hosts using smartphones and crowdsourcing, file e0d6c927-d6ca-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c928-6918-fcf8-e053-d805fe0aa794
|
1
|
|
Personalized gait detection using a wrist-worn accelerometer, file e0d6c929-55b1-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c92a-2bc5-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c92a-53a8-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c92a-6422-fcf8-e053-d805fe0aa794
|
1
|
|
null, file e0d6c92c-a32b-fcf8-e053-d805fe0aa794
|
1
|
|
Dissecting the Speed-of-Internet of Middle East, file e0d6c92e-59d7-fcf8-e053-d805fe0aa794
|
1
|
|
Continuous authentication through gait analysis on a wrist-worn device, file e0d6c931-a164-fcf8-e053-d805fe0aa794
|
1
|
| Totale |
1.259 |