Computer vision and sensor fusion towards better facilities management system for smart buildings by Arumugam, M Logaraj

“…This project adds a new element of image processing by computer vision in order to recognise actual human occupancy versus data from other sensors namely a PIR sensor. It also encompasses an Internet of Things(IoT) platform which is able to remotely gather and upload data into a cloud platform instantaneously. …”
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Anti-leukaemic and chemotherapy supportive effects of berberis vulgaris l. Fruit crude extract on in vitro and in vivo models by Saedi, Tayebeh Azam

“…However, herbal therapy is considered to have fewer side effects. Hence, the used of Berberis vulgaris crude extract (BVFCE) in treating leukaemia is highlighted. …”
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Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures by Gamba, David, Yu, Yulin, Yuan, Yuan, Schoenebeck, Grant, Romero, Daniel M.

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Pragmatic competence and pragmatic tolerance in foreign language acquisition—revisiting the case of scalar implicatures by Schulz, J, Wonnacott, E

“…Bayes factor analyses of the graded data favored H0 over the hypotheses that L2 learners provide fewer or more rejections to under-informative input than L1 learners. …”

Filter selection for indoor-recirculating fan-coil unit respect to indoor-to-outdoor particle relationships and occupancy influences by Xu, Xiaoqian

“…We put our focus onto the particles within 2.5µm in diameter, since this phase of particles could penetrate human lungs to cause severe health problems. Data was collected through Optical Particle Counter (OPC) and Optical Particle Sizer (OPS) from 09/09/2015 to 25/09/2015. …”
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The willingness and actual behaviour of teachers’ participation in university governance in China based on theory of planed behaviour by Wang, Wenjing, Hasmadi, Hassan

“…The sample size will be no fewer than 400 teachers selected through cluster sampling. …”
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Empirical estimation of metal powder bed fusion technological improvement rate by Alves de Campos, António, Torres Ferreira, Bruna, Gonçalves, Afonso, Leite, Marco, Ribeiro, Inês, L. Magee, Christopher, Henriques, Elsa

“…Considering all available data sources and PBF machines ever made commercially available, a data set of technical parameters was constructed. …”
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Keyword and named entity recognition on emergency call texts by Hu, Wanyu

“…With the development of Artificial Intelligence, much more attention than ever before has been paid to the idea of AI- Oriented systems that can be used to accomplish tasks. …”
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Time-series AI models for traffic congestion prediction by Low, Carina Su Yun

“…In recent years, Artificial Intelligence (AI) has gained much popularity in the real world due to its capability to outperform the human mind. With the ever-evolving technologies, AI plays a vital role in society. …”
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Putting distance through cleansing : the mediating role of temporal distancing on the embodiment of moral purity by Nurul Mira Fatin Abdulkahar

“…The prediction was unsupported by the data collected, and we discuss reasons for it, as well as suggest future improvements and research directions.…”
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Stock prediction using support vector regression by Manasa, Abburu.

“…Support Vector Machine for Regression (SVM-R) has been proven to be more advantageous than BP when it comes to handling financial data. It needs fewer parameters to learn and has the potential to handle noise, randomness and chaos as will be discussed in this paper. …”
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Detection & classification of diabetes type II & diabetes neuropathy using foot images by Chen, Yun Xuan.

“…It is used to reduce the number of coefficients so that the data can be analyzed easily. After the reduction of the data with the help of Principle Component Analysis (PCA), the data is being fed into the classifiers, Gaussian Mixture Model (GMM) and Support Vector Machine (SVM). …”
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Characterizing Speech Motor Pattern in Minimally Verbal Adults with Autism Spectrum Disorder via Surface Electromyography by Protyasha, Nishat Fahmida

“…Furthermore, the analysis of eigenvalues suggests lower complexity in motor coordination among mvASD participants, reflecting fewer degrees of freedom in muscle control. These findings were supported by classification models, which demonstrated that features from diadochokinetic tasks were more effective in distinguishing mvASD from neurotypical individuals.…”
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Weakly supervised learning on road area extraction via classification labels by Liu, Xuanyi

“…Since annotating roads at pixel level is labor intensive, several data-driven methods have been proposed for this task also, including both unsupervised methods and fully supervised methods. …”
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Expressive B-spline curves: a pilot study on a flexible shape representation by Seah, Hock Soon, Tandianus, Budianto, Sui, Yiliang, Wu, Zhongke

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One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares by Min, Youngjae

“…In this thesis, we investigate the problem of one-pass learning, in which a model is trained on sequentially arriving data without retraining on previous datapoints. Motivated by the increasing use of overparameterized models, we develop Orthogonal Recursive Fitting (ORFit), an algorithm for one-pass learning which seeks to perfectly fit every new datapoint while changing the parameters in a direction that causes the least change to the predictions on previous datapoints. …”
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Open source cyber incidents intelligence gathering by Tiong, Ryan Jun Hua

“…This quote cannot be more true in the realm of predictive analysis. Data about the past can be modelled on variables to explore relationships and predict future outcomes with a degree of probability. …”
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SMART MOBILITY : EXPLORING FOUNDATIONAL TECHNOLOGIES AND WIDER IMPACTS / by Khamis, Alaa, author 643152

“…The future of mobility is people-centric, software-defined, connected, and electric. Now more than ever, it is imperative for current and aspiring leaders in the field to understand the foundations of people-centric smart cities with a focus on sustainability. …”

Cluster analysis on dynamic graphs by Lee, Cecilia Si Si

“…As the collection of data becomes common with the big data revolution, an increasing number of methods are created for data analysis. …”
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Encrypted smartphone with advanced encryption standard 256 by Tan, Alvin Chee Munn.

“…It can be quite dangerous when sending confidential data over an unsecured GSM mobile network as the confidential data may land in the hands of unintended party. …”
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