Ivana (Cavar) Semanjski
Ivana (Cavar) Semanjski
Professor, Ghent University
Email verificata su ugent.be
Titolo
Citata da
Citata da
Anno
A review of urban air pollution monitoring and exposure assessment methods
X Xie, I Semanjski, S Gautama, E Tsiligianni, N Deligiannis, RT Rajan, ...
ISPRS International Journal of Geo-Information 6 (12), 389, 2017
692017
How to Monitor Sustainable Mobility in Cities? Literature Review in the Frame of Creating a Set of Sustainable Mobility Indicators
D Gillis, I Semanjski, D Lauwers
Sustainability 8 (1), 29, 2015
642015
Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data
I Semanjski, S Gautama
Sensors 15 (7), 15974-15987, 2015
492015
Spatial context mining approach for transport mode recognition from mobile sensed big data
I Semanjski, S Gautama, R Ahas, F Witlox
Computers, Environment and Urban Systems 66, 38-52, 2017
412017
Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior
I Semanjski, AJ Lopez Aguirre, J De Mol, S Gautama
Sensors 16 (7), 1035, 2016
372016
Integrating big data into a sustainable mobility policy 2.0 planning support system
I Semanjski, R Bellens, S Gautama, F Witlox
Sustainability 8 (11), 1142, 2016
292016
Crowdsourcing mobility insights – Reflection of attitude based segments on high resolution mobility behaviour data
I Semanjski, S Gautama
Transportation Research Part C: Emerging Technologies 71, 434–446, 2016
232016
Hybrid approach for urban roads classification based on GPS tracks and road subsegments data
I Ćavar, Z Kavran, M Petrović
Promet-Traffic&Transportation 23 (4), 289-296, 2011
222011
Using data mining to forecast uncertain demands in stochastic vehicle routing problem
H Markovic, I Cavar, T Caric
13th International Symposium on Elecronics in Transport (ISEP), Slovenia, 1-6, 2005
172005
A collaborative stakeholder decision-making approach for sustainable urban logistics
I Semanjski, S Gautama
Sustainability 11 (1), 234, 2019
142019
Forecasting the state of health of electric vehicle batteries to evaluate the viability of car sharing practices
I Semanjski, S Gautama
Energies 9 (12), 1025, 2016
142016
Intelligent transportation system and night delivery schemes for city logistics
I Cavar, Z Kavran, N Jolic
Computer Technology and Application 2 (9), 782-787, 2011
122011
Urban mobility and city logistics–Trends and case study
R Rezende Amaral, I Šemanjski, S Gautama, EH Aghezzaf
Promet-Traffic&Transportation 30 (5), 613-622, 2018
112018
Unsupervised hierarchical clustering approach for tourism market segmentation based on crowdsourced mobile phone data
J Rodrguez, I Semanjski, S Gautama, N Van de Weghe, D Ochoa
Sensors 18 (9), 2972, 2018
102018
Assessment of smartphone positioning data quality in the scope of citizen science contributions
AJ Lopez, I Semanjski, S Gautama, D Ochoa
Mobile Information Systems 2017, 2017
102017
Forecasting Transport Mode Use with Support Vector Machines Based Approach
I Semanjski, AJ Lopez, S Gautama
ToMS 5 (2), 111-120, 2016
102016
Potential of big data in forecasting travel times
I Semanjski
PROMET-TRAFFIC & TRANSPORTATION 27 (6), 515-528, 2015
92015
Sensing Human Activity for Smart Cities' Mobility Management
I Semanjski, S Gautama
Smart Cities Technologies, 2016
72016
Example of positioning intermodal terminals on inland waterways
N Brnjac, I Ćavar
Promet-Traffic&Transportation 21 (6), 433-439, 2009
72009
Use of Supervised Machine Learning for GNSS Signal Spoofing Detection with Validation on Real-World Meaconing and Spoofing Data—Part I—Part II
S Semanjski, I Semanjski, W De Wilde, S Gautama
Sensors 20 (7), 1806, 2020
62020
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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