Predicting affective states during e-learning : using deep neural networks by Dalmia, Sachin

“…The data is then pre-processed to make it suitable for training. The TVL/1 algorithm is applied to extract the optical flows and frames for each video. …”
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A data-driven method for network anomaly attack detection in public transport system by Yin, Rui

“…This thesis designs an anomaly attack detection based on self-organizing mapping algorithm to improve the accuracy of anomaly detection technology. …”
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Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems by Lye, Scott Carr Ken

“…Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique of transferring an information bit stream on several sub-carrier frequencies. OFDM is used in many communication systems which exhibit high spectral efficiency and robustness against multipath fading channels. …”
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Cognitive beamforming for secondary spectrum access by Cai, Shengming

“…By exploiting the impact of the eigenvalues on the interference outage probability and establishing the relationship between the vibrations of secondary covariance matrix and its eigenvalues, we design an algorithm for this beamforming problem. In the second part of this thesis, we focus on beamforming in a multi-antenna cognitive radio system with transmission of multiple secondary data streams subject to the individual signal-to-noise ratio constraint per secondary data stream and the primary interference power constraint. …”
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An efficient query indexing mechanism for filtering geo-textual data by Cui, Yan

“…In addition, we also propose the algorithm for matching the queries with incoming geo-textual objects based on the index. …”
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Sequential extreme learning machines for class imbalance and concept drift by Mirza Bilal

“…A weighted online sequential extreme learning machine (WOS-ELM) algorithm is proposed that has a distinctive feature of class imbalance learning (CIL) in both the chunk-by-chunk and one-by-one modes. …”
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Developing a model to predict mathematics performance using neural network / Normaziah Abdul Rahman, Fadzilah Siraj and Noor Aishikin Adam by Abdul Rahman, Normaziah, Siraj, Fadzilah, Adam, Noor Aishikin

“…A neural network technique, using Multi Layer Perceptron (MLP) and back propagation algorithm is employed. A total of 391 data samples of diploma students were collected, trained and tested using this model. …”
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Summarizing static and dynamic big graphs by Khan, Arijit, Bhowmick, Sourav Saha, Bonchi, Francesco

“…In this tutorial, we discuss algorithmic advances on graph summarization in the context of both classical (e.g., static graphs) and emerging (e.g., dynamic and stream graphs) applications. …”
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Forecasting of solar radiation using fuzzy neural networks by Seng, Anthony Sunjaya.

“…The growing concern of scarcity of fuel and gas has been one of the main reasons for scientists and researchers to develop more effective and efficient alternative energy, like wind, solar, stream energy and nuclear energy. However, this report will only touch on one of the ways to improve the efficiency of using solar energy in generating power as an alternative power supply in power generation systems. …”
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Partial auto-stereoscopic display with camera-based user tracking by Tan, Jian Hong

“…OpenCV was used to analyse the camera video stream, and derive the corresponding 3D coordinates of the user in real world measurements. …”
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Secured HF image transmission system by Shameri, Ahmad Zuri

“…For confidentiality, stream cipher algorithm used is based on the linear feedback register (LFSR) and a nonlinear combining function. …”
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Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision) by Sharvinteraan, C. Mogan

“…The project workflow involves several key steps. First, the MTCNN algorithm is utilized to detect and extract facial features from images or video streams. …”
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VLSI implementation of huffman design using FPGA with a comprehensive analysis of power restrictions by Mohammed, Maan Hameed, Khmag, Asem, Rokhani, Fakhrul Zaman, Ramli, Abd. Rahman

“…The architecture of compression and decompression algorithm design has been created using Verilog HDL language. …”
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Event detection from social media on COVID-19 by Ho, Yin Wee

“…This system is comprised of 1) Stream Splitter, 2) Word Embedder and Document Clustering (within individual time windows), 3) Document Clustering (across all time windows) and 4) Event Summarisation. …”
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Modeling and prediction of driver-vehicle-unit velocity using adaptive neuro-fuzzy inference system in real traffic flow / Iman Tahbaz-zadeh Moghaddam...[et al.] by Moghaddam, Iman Tahbaz-zadeh, Ayati, Moosa, Taghavipour, Amir, Marzbanrad, Javad

“…In this study, a soft computing method is proposed to predict the accelerating behavior of driver-vehicle-unit in the genuine traffic stream that is collected on the California urban roads by US Federal Highway Administration’s NGSIM. …”
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Heat integration of fractionators for low temperature separation unit (LTSU) and product recovery unit (PRU) by Ahmad Izamin, Ali

“…In order to reduce the operating cost, energy recovery through Pinch Analysis need to be carried out that utilize hot and cold streams of Low Temperature Separation Unit (LTSU) and Product Recovery Unit (PRU) in GPP. …”
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Supervised news topic detection by Gaur, Mokshika

“…We consider the input documents, as a stream of sentences and use the trained classifier to predict the topics they are associated with and accordingly assign these news documents to the most appropriate topic. …”
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An adaptive rate allocation system to mitigate fairness issues in Wi-Fi mesh networks by Torshizi, Seyed Dawood Sajjadi

“…The first one is a lightweight messaging system and the second one is an adaptive fair rate allocation algorithm. It is important to note that the presented solution is independent from MAC and underlying layers. …”
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Automatic docking and charging station for a mobile robot platform by Lim, Shaune Ji Zheng

“…In order to do so, the robot has to have a constant stream of power supply to allow its continuous operation. …”
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Aggregating and analyzing Indian political tweets by Chirag Ruhela

“…The author’s final year project is a part of the Twitter Data Analysis project which aims to gain insight into Indian politics using data from Twitter Stream and applying NLP and Data Mining Techniques to the same. …”
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