Online map-matching based on Hidden Markov model for real-time traffic sensing applications by Mitrovic, N., Asif, M. T., Oran, A., Jaillet, P., Goh, Chong Yang, Dauwels, Justin

“…We propose an online map-matching algorithm based on the Hidden Markov Model (HMM) that is robust to noise and sparseness. …”
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Music analysis and similarities measure by Cheong, Yong Hon.

“…This project aims to research on current audio analysis techniques and machine learning algorithms to develop a Java application to help users better manage their audio media files. …”
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LiDAR-based 3D object detection and tracking for autonomous driving by Luo, Zhipeng

“…LiDAR-based 3D perception algorithms have attracted increasing attention due to their immense potential in applications such as autonomous driving and robotic vision. …”
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Online tool condition monitoring based on parsimonious ensemble by Pratama, Mahardhika, Dimla, Eric, Tjahjowidodo, Tegoeh, Pedrycz, Witold, Lughofer, Edwin

“…Experimental studies utilizing two real-world manufacturing data streams: 1) metal turning and 2) 3-D-printing processes and comparisons with well-known algorithms were carried out. …”
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Design of radar pulse deinterleaving scheme using deep learning by Zhang, Chenxin

“…This dissertation firstly studies the traditional radar signal deinterleaving algorithm, and analyses the histogram method in the main signal deinterleaving, discusses the deinterleaving of two signals intertwined, and compares and analyses the performance of the cumulative difference histogram (CDIF) algorithm and the sequence difference histogram (SDIF) algorithm on the deinterleaving of multiple signals intertwined. …”
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Yard crane scheduling with job arrival time uncertainties by Huang, Yixuan

“…Such models will provide predictions of job completion times with better accuracy, which will support the planning of down-stream operations. To solve the first problem, we modeled the job arrival time using normal distributions and analyzed the impact of uncertainties in the original ATCRSS algorithm. …”
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An intelligent approach to quality of service for MPEG-4 video transmission in IEEE 802.15.1 by Remy, Guillaume

“…A hybrid scheme has been developed in this thesis, comprises of a fuzzy logic set of rules and an artificial neural network algorithms. MPEG-4 video compression has been used in this work to optimise the transmission. …”
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Empirical Evaluation of Mutation Step Size in Automated Evolution of Non-Target-Based 3D Printable Objects by Jia Hui Ong, Jason Teo

“…Evolutionary algorithms (EA) currently play a central role in solving complex, highly non-linear problems such as in engineering design, computational optimization, bioinformatics and many more diverse fields. …”
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Sensor-based activity recognition via learning from distributions by Qian, Hangwei, Pan, Sinno Jialin, Miao, Chunyan

“…Sensor-based activity recognition aims to predict users’ activities from multi-dimensional streams of various sensor readings received from ubiquitous sensors. …”
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A two-stage learning convolutional neural network for sleep stage classification using a filterbank and single feature by Mehdi Abdollahpour, Tohid Yousefi Rezaii, Ali Farzamnia, Ismail Saad

“…Due to the complications in manual sleep staging by the physician, computer-aided sleep stage classification algorithms are gaining attention. In this study, a novel approach was introduced to extract distinctive representations from single-channel EEG signal for automatic sleep staging. …”
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Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…However, the intricately discontinuous mechanism and complex neural dynamics have posed a significant challenge in formulating efficient learning algorithms for training Spiking Neural Networks. …”
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Multimodal data fusion for object detection under rainy conditions by Liu, Ting Tao

“…As an important part of the autonomous driving perception algorithm, object detection algorithms have been given more and more attention and impressive progress has achieved. …”
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Array signal processing using spatial domain infinite impulse response structure and volterra model by Wen, Fuxi

“…With such close relation between array snapshots and discrete-time signals, it is interesting to explore the application of concepts and algorithms developed in different streams of research for array processing. …”
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Data Hiding Techniques In Digital Images by Al Thloothi, Salah Ramadan

“…After all these studies, one of the algorithms in the masking technique is developed and implemented using JAVA program to embed message into true color image with a good quality and higher capacity. …”
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Automatic clustering for unsupervised risk diagnosis of vehicle driving for smart road by Shi, Xiupeng, Wong, Yiik Diew, Chai, Chen, Li, Michael Zhi Feng, Chen, Tianyi, Zeng, Zeng

“…We also delve into risk clustering, such as, algorithms heterogeneity, Silhouette analysis, hierarchical clustering flows, etc. …”
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A thorough benchmark and a new model for light field saliency detection by Gao, Wei, Fan, Songlin, Li, Ge, Lin, Weisi

“…Furthermore, tailored to the distinct structural characteristics of light fields, a novel symmetric two-stream architecture (STSA) network is proposed to predict the saliency of light fields more accurately. …”
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Application of reinforcement learning methods to computer game dynamics by Booth, David John

“…Game sessions a generate stream data on asset's performance which must be processed on the fly. …”
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment by Sojodishijani, Omid

“…Data arrives from operational field in a stream model and similarity-based classification algorithms must identify them with acceptable performance. …”
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Exploiting visual context and consistency for semantic segmentation by Kang, Dang

“…Second, existing semantic segmentation algorithms often produce inconsistent labeling at region boundaries or across neighboring frames. …”
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Sensor-based activity recognition via learning from distributions by Qian, Hangwei

“…Wearable-sensor-based activity recognition aims to predict users' activities from multi-dimensional streams of various sensor readings received from ubiquitous sensors. …”
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