Personalized E-Learning Based on Ant Colony Optimization.

• Authors : Sachdeva, Shelly¹ (AUTHOR) ; Singh, Monika¹ (AUTHOR) ; Kumar, Neeraj¹ (AUTHOR)

Subjects: Ant algorithms; Digital learning

• Source: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Feb2022, Vol. 30 Issue 1, p115-134. 20p.

• Abstract: With the advancement in technology, the approach to learning has also been modified. "Standardization" and "One-size-fits-all" has become an outdated concept. ...

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Learner performance prediction in the e-learning platform using the optimized deep long short-term memory classifier.

• Authors : Alzubi, Ahmad¹ (AUTHOR)

Subjects: *LEARNING Management System; *DIGITAL learning; *EDUCATIONAL standards

• Source: International Journal of Wavelets, Multiresolution & Information Processing. Mar2022, Vol. 20 Issue 2, p1-29. 29p.

• Abstract: The e-learning platform gains significant attraction in the current scenario due to the outbreak of the epidemic COVID-19 as e-Copyright of International Journal of Wavelets, Multiresolution & Information Processing is the property of World Scientific Publishing Company and its content ...

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An Active Learning Framework for Alpha Matting.

• Authors : Shen, Yang¹ (AUTHOR) ; Wang, Pengjie² (AUTHOR) ; Pan, Zhifang^3,4 (AUTHOR)

Subjects: *DIGITAL image processing; *DEEP learning; *ACTIVE learning

• Source: International Journal of Pattern Recognition & Artificial Intelligence. Aug2019, Vol. 33 Issue 9, pN.PAG-N.PAG. 20p.

• Abstract: Good trimap is essential for high-quality alpha matte. However, making high-quality trimap is hardwork, especially for complex images. In this paper, an active Copyright of International Journal of Pattern Recognition & Artificial Intelligence is the property of World Scientific Publishing Company and its content ...

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Acoustic Emission Signal Classification Using Feature Analysis and Deep Learning Neural Network.

• Authors : Wu, Jian-Da¹ (AUTHOR) ; Wong, Yu-Han¹ (AUTHOR); Luo, Wen-Jun¹ (AUTHOR)

• Source: Fluctuation & Noise Letters. Dec2020, p1. 16p.

• Abstract: With the development of artificial intelligence in recent years, deep learning has been widely used in mechanical system signal classification but ... Copyright of Fluctuation & Noise Letters is the property of World Scientific Publishing Company and its content may not be copied ...

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A comparative study on machine learning-based classification to find photothrombotic lesion in histological rabbit brain images.

• Authors : Jo, Sang Hee¹ (AUTHOR) ; Kim, Yoonhee² (AUTHOR); Lee, Yoon Bum³ (AUTHOR)

Subjects: *ISCHEMIC stroke; *BRAIN imaging; *MACHINE learning

• Source: Journal of Innovative Optical Health Sciences. Nov2021, Vol. 14 Issue 6, p1-9. 9p.

• Abstract: Recently, research has been conducted to assist in the processing and analysis of histopathological images using machine learning algorithms. In this ... Copyright of Journal of Innovative Optical Health Sciences is the property of World Scientific Publishing Company and its content may ...

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Challenges and Imperatives of Deep Learning Approaches for Detection of Melanoma: A Review.

• Authors : Gayatri, Erapaneni¹ (AUTHOR) ; Aarthy, S. L.² (AUTHOR)

• Source: International Journal of Image & Graphics. Apr2022, p1. 19p.

• Abstract: Recently, melanoma became one of the deadliest forms of skin cancer due to ultraviolet rays. The diagnosis of melanoma is very crucial if it is ... Copyright of International Journal of Image & Graphics is the property of World Scientific Publishing Company and its content may not ...

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A survey on agent learning architecture that adopts internet of things and wireless sensor networks.

• Authors : Joshva Devadas, T.¹ (AUTHOR)

Subjects: *WIRELESS sensor networks; *INTERNET of things; *INTELLIGENT agents

• Source: International Journal of Wavelets, Multiresolution & Information Processing. Mar2022, Vol. 20 Issue 2, p1-34. 34p.

• Abstract: Trustworthy and reliable applications built using intelligent software agents aim to provide improved performance using its characteristics. Agents introduced in various architectures represent its functionality ... Copyright of International Journal of Wavelets, Multiresolution & Information Processing is the property of World Scientific Publishing Company and its content ...

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Using deep learning for digitally controlled STIRAP.

• Authors : Moro, Lorenzo^1,2 (AUTHOR) ; Paparelle, Iris^1,3 (AUTHOR) ; Prati, Enrico¹ (AUTHOR)

Subjects: *REINFORCEMENT learning; *MACHINE learning; *QUANTUM superposition

• Source: International Journal of Quantum Information. Jun2021, Vol. 19 Issue 4, p1-9. 9p.

• Abstract: Stimulated Raman Adiabatic Passage (STIRAP) is a technique for preparing atoms and molecules in an arbitrary preselected coherent superposition of quantum states, ordinarily controlled by ... Copyright of International Journal of Quantum Information is the property of World Scientific Publishing Company and its content may not ...

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T-EDUCO:: A T-LEARNING TUTORING TOOL THAT CARES.

• Authors : HUPONT, ISABELLE¹ ; ABADÍA, DAVID¹ ; BALDASSARRI, SANDRA²

Subjects: *DIGITAL television; *INTERACTIVE learning; *SEQUENTIAL analysis

• Source: International Journal on Artificial Intelligence Tools. Aug2011, Vol. 20 Issue 4, p639-661. 23p. 3 Color Photographs, 3 Diagrams, 3 Charts, 5 Graphs.

• Abstract: Interactive Digital Television is emerging as a potential medium to create opportunities for learning at home. In ... Copyright of International Journal on Artificial Intelligence Tools is the property of World Scientific Publishing Company and its content may ...

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Acoustic Emission Signal Classification Using Feature Analysis and Deep Learning Neural Network.

• Authors : Wu, Jian-Da¹ (AUTHOR) ; Wong, Yu-Han¹ (AUTHOR); Luo, Wen-Jun¹ (AUTHOR)

Subjects: *SIGNAL classification; *ACOUSTIC emission; *ARTIFICIAL intelligence

• Source: Fluctuation & Noise Letters. 2021, Vol. 20 Issue 3, pN.PAG-N.PAG. 16p.

• Abstract: With the development of artificial intelligence in recent years, deep learning has been widely used in mechanical system signal classification but ... Copyright of Fluctuation & Noise Letters is the property of World Scientific Publishing Company and its content may not be copied ...

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