全部文献期刊会议图书|学者科研项目
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作者:Khaled Saleh , Mohammed Hossny , Saeid Nahavandi
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.386, pp.317-324
摘要:Abstract(#br)Autonomous ground vehicles are increasingly finding their way into real-life applications, ranging from food/parcel delivery to self-driving vehicles. Given that, understanding the behaviours and intentions of humans are still one of the main challenges autonomous gr...
作者:... Abbas Khosravi , Chee Peng Lim , Saeid Nahavandi
来源:[J].Expert Systems With Applications(IF 1.854), 2020, Vol.149
摘要:Abstract(#br)A convolutional neural network has the capacity to learn multiple representation levels and abstraction in order to provide a better understanding of image data. In addition, a good multi-level representation of data typically results in a better generalisation capab...
作者:... Sherif Haggag , Saeid Nahavandi , Omar Haggag
来源:[J].Neurocomputing(IF 1.634), 2017, Vol.237, pp.281-290
摘要:Abstract(#br)EEG signals provide the means to understand how the brain works and they can be used within a wide range of applications; especially BCI applications. The main issue that affects the performance of such applications is the quality of the recorded EEG signal. Noise pr...
作者:... Abbas Khosravi , Douglas Creighton , Saeid Nahavandi
来源:[J].Expert Systems With Applications(IF 1.854), 2017, Vol.71, pp.493-503
摘要:Abstract(#br)Intelligent traffic control systems optimized using meta-heuristic algorithms can greatly alleviate traffic congestions in urban areas. Meta-heuristics are broadly used as efficient approaches for complex optimization problems. Comparing the performance of optimizati...
作者:... Abbas Khosravi , Thanh Nguyen , Saeid Nahavandi
来源:[J].Expert Systems With Applications(IF 1.854), 2018
摘要:Abstract(#br)The difference in data distributions among related, but different domains is a long standing problem for knowledge adaptation. A new method to transform the source domain knowledge to fit the target domain is proposed in this work. The proposed method uses deep learn...
作者:... Chee Peng Lim , Saeid Nahavandi , Ju H. Park
来源:[J].Journal of the Franklin Institute(IF 2.418), 2018, Vol.355 (13), pp.5736-5758
摘要:Abstract(#br)In this paper, we study the problem of network-based synchronization of chaotic systems in Takagi–Sugeno (T–S) fuzzy form, in which the master and slave fuzzy chaotic systems are connected with a continuous-time controller through a network. In all communication...
作者:... Abbas Khosravi , Chee Peng Lim , Saeid Nahavandi
来源:[J].Expert Systems With Applications(IF 1.854), 2017, Vol.68, pp.69-80
摘要:Abstract(#br)Automated computer vision-based fire detection has gained popularity in recent years, as every fire detection needs to be fast and accurate. In this paper, a new fire detection method using image processing techniques is proposed. We explore how to create a fire flam...
作者:Saeid Nahavandi , Hamed Asadi
来源:[J].Computer Methods and Programs in Biomedicine(IF 1.555), 2019, Vol.177, pp.17-30
摘要:Abstract(#br)Background and Objective(#br)Skin melanoma is one of the major health problems in many countries. Dermatologists usually diagnose melanoma by visual inspection of moles. Digital hair removal can provide a non-invasive way to remove hair and hair-like regions as ...
作者:Saeid Nahavandi , Arnan Mitchell
来源:[J].Sensors & Actuators: B. Chemical(IF 3.535), 2018, Vol.274, pp.645-653
摘要:Abstract(#br)Here, we present a self-sufficient droplet generation system using a highly porous elastomeric sponge. Upon manual compression, aqueous solutions can be loaded into or unloaded from the sponge. The surface of the sponge accommodates hundreds of small orifices, which ...
作者:... Abbas Khosravi , Thanh Nguyen , Saeid Nahavandi
来源:[J].Engineering Applications of Artificial Intelligence(IF 1.625), 2017, Vol.65, pp.159-167
摘要:Abstract(#br)Fuzzy decision support systems are proven to be very effective in imprecise and incomplete environment. However, the amount of uncertainty associated with the output of these fuzzy systems is never quantified and utilized in decision making process. A new percentage ...

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