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SUPERVISED MACHINE/DEEP LEARNING TECHNIQUES – A CASE STUDY OF POWDERY MILDEW DETECTION ON THE STRAWBERRY LEAF
(2020-04-16)
This research proposed the algorithm, that can detect powdery mildew and give the highest classification accuracy (CA). Three image processing and two machine learning algorithms (artificial neural network; ANN and support ...
Diversity and Novelty as Objectives in Poker
(2016-08-18)
Evolutionary algorithms are capable to lead to efficient solutions without a predefined design and few human bias. However, they can be prone to early convergence and may be deceived by a non-informative or deceptive fitness ...
Automated Labour Detection Framework to Monitor Pregnant Women with a High Risk of Premature Labour
(2022-02-22)
It is estimated that more than 1 in 10 babies are born prematurely worldwide. Babies that survive premature birth are more likely to face lifelong health-related disabilities. By monitoring uterine contractions, labour can ...
Towards Expertise Modeling Using Hierarchical Classification and Wikipedia Knowledge
(2016-12-19)
We define expertise modeling as profiling an expert, a knowledgeable person in one or more domains, based on evidence from research articles into one or more research topics. The traditional text classification approach ...
ADAPTIVE LONG TERM TRACKING AND AUTONOMOUS FOLLOWING USING STEREO-CAMERA OF AN UNMANNED AERIAL VEHICLE WITH COLLISION AVOIDANCE
(2015)
Unmanned aerial vehicles commercially called quadcopters or drones have become
increasingly popular over recent years, delving into wide range of fields from medicine
for providing immediate health care or in agriculture ...
Predicting Political Donations Using Data Driven Lifestyle Profiles Generated from Character N-Gram Analysis of Heterogeneous Online Sources
(2015)
This paper describes an approach for generating multi-dimensional Activities, Interests, and Opinions (AIO) insights from disparate web sources. The method involves identifying psychographic profiles using text analysis ...
Spatiotemporal Pattern Detection in Multi-cell Recordings Using Unsupervised Learning
(2015)
Detection of spatiotemporal patterns have many applications in areas such as computer vision and data mining. Specifically, the analysis and mining of biological data with high dimensionality (e.g. multi-cell recordings, ...
Evaluating Common-Sense Reasoning in Pretrained Transformer-Based Language Models Using Adversarial Schemas and Consistency Metrics
(2023-04-14)
In artificial intelligence, common sense refers to simple acts of verbal reasoning. The Winograd Schema Challenge (WSC), an important test of common sense, was recently defeated by transformer-based language models. We ...
Validating a Meditation-based Mind Wandering BCI: A Pilot Study
(2023-09-06)
Brain-computer interfaces (BCI) have become a burgeoning field of research as computers become embedded in everyday life. Electroencephalography (EEG) is the preferred brain measurement device used in BCIs, though research- ...
Modeling Human Motion-Capture Data for Creativity
(2024-04-16)
Human motion-capture data can be represented, modeled, and generated through computational techniques. This thesis explores representations and strategies for querying, interpolating, and sequence modeling of motion-capture ...