Article Title,Year,Volume,Issue,Page Range,Author
An expert system for strategic control of accidents and insurers' risks in building construction projects,2009,36,2,4021-4034,Imriyas
Decision tree learning for freeway automatic incident detection,2009,36,2,4101-4105,Chen
Evaluation of hazardous waste transportation firms by using a two step fuzzy-ahp and topsis methodology,2009,36,2,4067-4074,Gumus
Sequential association rules for forecasting failure patterns of aircrafts in Korean Air Force,2009,36,2,1129-1133,Sohn
Use of hybrid multiple uncertain attribute decision making techniques in safety management,2009,36,2,1569-1586,Yang
Using EEG spectral components to assess algorithms for detecting fatigue,2009,36,2,2352-2359,Lal
Older drivers and accidents: A meta analysis and data mining application on traffic accident data,2005,29,3,598-629,Bayam
A fuzzy aid rear-end collision warning/avoidance system,2012,39,10,9097-9107,Milanés
A knowledge-based decision support system for shipboard damage control,2012,39,9,8204-8211,Calabrese
Applying neural network analysis on heart rate variability data to assess driver fatigue,2011,38,6,7235-7242,Lal
Assessment of safety performance in Indian industries using fuzzy approach,2012,39,3,3311-3323,Beriha
Automatic traffic incident detection based on nFOIL,2012,39,7,6547-6556,Wang
Constructing road safety performance indicators using Fuzzy Delphi Method and Grey Delphi Method,2011,38,3,1509-1514,Shao
Design and implementation of a quantitative risk assessment software tool for Singapore road tunnels,2011,38,11,13827-13834,Qu
Evolutionary risk preference inference model using fuzzy support vector machine for road slope collapse prediction,2012,39,2,1737-1746,Cheng
Human activity monitoring by local and global finite state machines,2012,39,8,6982-6993,Fernández-Caballero
Traffic safety forecasting method by particle swarm optimization and support vector machine,2011,38,8,10420-10424,Gang
Classification for predicting offender affiliation with murder victims,2011,38,11,13518-13526,Olafsson
The centroid or consensus of a set of objects with qualitative attributes,2011,38,5,4908-4919,Guzman-Arenas
Multimodal and ontology-based fusion approaches of audio and visual processing for violence detection in movies,2011,38,11,14102-14116,Perperis
Formally analysing the concepts of domestic violence,2011,38,4,3116-3130,Poelmans
Pedestrian detection for intelligent transportation systems combining AdaBoost algorithm and support vector machine,2012,39,4,4274-4286,Guo
Comparing combinations of EEG activity in train drivers during monotonous driving,2011,38,1,996-1003,Fischer
Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic,2011,38,3,1859-1865,Zhao
Gaining insight in domestic violence with emergent self organizing maps,2009,36,9,11864-11874,Poelmans
Recommended biometric stress management system,2011,38,11,14011-14025,Kaklauskas
Lifenet: a knowledge-based decision support tool for the risk assessment of adolescent suicide,1995,9,2,165-176,Ferns
Fall detection based on the gravity vector using a wide-angle camera,2014,41,17,7980-7986,Bosch-Jorge
Bayesian network modeling of Port State Control inspection findings and ship accident involvement,2014,41,4 Pt. 2,1632-1646,Kujala
Association rule mining with mostly associated sequential patterns,2015,42,5,2582-2592,Soysal
An intelligent system for forest fire risk prediction and fire fighting management in Galicia,2003,25,4,545-554,Alonso-Betanzos
Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set,2011,38,6,6669-6680,Szpak
Assuring safety in air traffic control systems with argumentation and model checking,2016,44,,367-385,Gómez
A data fusion system of GNSS data and on-vehicle sensors data for improving car positioning precision in urban environments,2017,80,,28-38,Gomez-Gil
A comparative study of machine learning classifiers for modeling travel mode choice,2017,78,,273-282,Helbich
The application of data mining techniques to model visual distraction of bicyclists,2016,52,,99-107,Nilsson
Lane-changes prediction based on adaptive fuzzy neural network,2018,91,,452-463,Liu
Emerging topic detection in twitter stream based on high utility pattern mining,2019,115,,27-36,Choi
Automatic driver sleepiness detection using EEG EOG and contextual information,2019,115,,121-135,Ahlstrom
Natural disaster topic extraction in Sina microblogging based on graph analysis,2019,115,,346-355,Tian
Assessing the performances of different neural network architectures for the detection of screams and shouts in public transportation,2019,117,,29-41,Wang
Developing a Twitter-based traffic event detection model using deep learning architectures,2019,118,,425-439,Heaslip
Daily long-term traffic flow forecasting based on a deep neural network,2019,121,,304-312,Li
An automatic zone detection system for safe landing of UAVs,2019,122,,319-333,Anisi
CUBREMOT: a tool for building model-based trees for ordinal responses,2019,124,,39-49,Cappelli
An innovative decision rule approach to tyre pressure monitoring,2019,124,,252-270,Brown
A classification method based on optical flow for violence detection,2019,127,,121-127,Mahmoodi
A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network,2019,130,,265-275,Liu
New approaches for the traffic counting location problem,2019,132,,189-198,González
An approach for recognition of human's daily living patterns using intention ontology and event calculus,2019,132,,256-270,Kim
Deep neural networks for human's fall-risk prediction using force-plate time series signal,2021,182,,e115220,Thompson
Emergency logistics network optimization with time window assignment,2022,214,,e119145,Wang
A novel tree pattern-based violence detection model using audio signals,2023,224,,e120031,Fujita
A novel one-vs-rest consensus learning method for crash severity prediction,2023,228,,e120443,Hussain
Assessment of the level of road crash severity: comparison of intelligence studies,2023,234,,e121118,Astarita
High accuracy intelligent real-time framework for detecting infant drowning based on deep learning,2023,228,,,Xu