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Abigail Copiaco, Leena El Neel, Tasnim Nazzal, Husameldin Mukhtar and Walid Obaid
This study introduces an innovative all-in-one malware identification model that significantly enhances convenience and resource efficiency in classifying malware across diverse file types. Traditional malware identification methods involve the extractio...
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Taiki Arakane and Takeshi Saitoh
This paper studies various deep learning models for word-level lip-reading technology, one of the tasks in the supervised learning of video classification. Several public datasets have been published in the lip-reading research field. However, few studie...
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Aneta R. Borkowska, Beata Daniluk and Katarzyna Adamczyk
Multiple sclerosis (MS) is a progressive chronic disease of the Central Nervous System (CNS). Cognitive decline occurs rather rarely in relapsing?remitting multiple sclerosis (RRMS) compared to other types. The present study aimed to assess executive fun...
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Pei Liu, Dezhong Peng and Ming Zhang
In this work, we propose a novel priors-based attention neural network (PANN) for image captioning, which aims at incorporating two kinds of priors, i.e., the probabilities being mentioned for local region proposals (PBM priors) and part-of-speech clues ...
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Hasan S.M Al-Khaffat, Nadia A. Musa
Pág. 1 - 11
Introduction: In this paper, a system for recognizing fonts has been designed and implemented. The system is based on the Eigenfaces method. Because font recognition works in conjunction with other methods like Optical Character Recognition (OCR), we use...
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Rodney D'Souza, Bruce Kemelgor
Pág. 51 - 68
Aldrich, H. (1999). Organizations Evolving. Thousand Oaks, Sage Publications, London.Abelson, R.P. & Black, J.B. (1986). Introduction. In: J.A. Galambos, R.P. Abelson, and J.B. Black (Eds.), Knowledge Structures. Hillsdale, NJ: Lawrence Erlbaum Associate...
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