Search Results - "Fernando, Tgi"

Detection and explanation of apparent personality using deep learning: a short review of current approaches and future directions by Ilmini, WMKS, Fernando, TGI

“…Personality describes an individual’s internal attributes, encompassing distinctive thoughts, emotions, and behaviour. Various studies have been undertaken to…”
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A variant of Newton's method with accelerated third-order convergence by Weerakoon, S., Fernando, T.G.I.

“…In the given method, we suggest an improvement to the iteration of Newton's method. Derivation of Newton's method involves an indefinite integral of the…”
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Prediction of Potentially Hazardous Asteroids using Deep Learning by Ranaweera, Rkmt Nishavi, Fernando, Tgi

“…An impact by an asteroid is one of the very few natural disasters that could be mitigated or even entirely prevented if accurate predictions are made early…”
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Explainable AI for Early Lung Cancer Detection: A Path to Confidence by Wedisinghe, Himash, Fernando, T.G.I.

“…One of the most deadly types of cancer is lung cancer, and effective treatment depends on early detection. To detect lung cancer in its early stages, numerous…”
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Facial Feature Identification in the Deep Learning Based Apparent Personality Detection by Ilmini, Wmks, Fernando, Tgi

“…Literature proves that the deep learning methods show significant results in apparent personality detection; however, lack of knowledge on how/why they perform…”
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Violence Detection of Sinhala Image Posts with Autoencoders by Dikwatta, U, Fernando, TGI

“…Social media has become one of the main sources of information with an increased number of users. Unlike other media, control over the contents in social media…”
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Deepfakes Detection Methods: A Literature Survey by Weerawardana, MC, Fernando, TGI

“…Recently, a great amount of concern has been attracted to the phenomena of DeepFake, which has been created for capturing and reenacting faces in a video and…”
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A modified firefly algorithm to solve univariate nonlinear equations with complex roots by Ariyaratne, M. K. A., Fernando, T. G. I., Weerakoon, S.

“…Recently developed meta-heuristic algorithms such as firefly algorithm, bat algorithm, particle swarm optimization and harmony search are now becoming popular…”
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