Page 129 - Book of Abstracts 2023

Book of Abstracts | 2023
Data structure and algorithms web simulator
SE-1-11
By: Yovel Aloni yovelal@ac sce sce ac ac ac ac il il il il Gil Ben Hamo gilbe1@ ac ac ac ac sce sce ac ac ac ac il il il il Advisor: Dr Irina Rabaev
Shamoon College of Engineering Beer-Sheva
Algorithms and and data structures play a a a a a a a a a critical role in in in computer science and and and software engineering but students often face difficulties in in in in in understanding them Traditional teaching methods have their limitations thus more effective visual teaching techniques such as Algorithm Visualization (AV) have been developed AV AV illustrates the algorithm's steps through transition effects and animations We aim to
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develop an an an an an an an online AV tool to
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enhance teaching by utilizing animations pseudocode runtime information and and user interaction by controlling the the the input speed and and steps of the the the the animation The data collected from the the the the tool can be statistically analysed to
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improve the the the learning experience Keywords: algorithms algorithm algorithm visualization (AV) data structures teaching methods usage statistics user interaction Gender and and age age classification of handwriting images
SE-1-12
By: Tamar Aminov tamaram@ac sce sce ac ac ac ac il il Liran Smadja liransm@ac sce sce ac ac ac ac il Advisors: Dr Dr Irina Rabaev
Dr Dr Marina Litvak
Shamoon College of Engineering Beer-Sheva
Automated age age and and gender classification from handwriting images
has has several interesting applications e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e g g g g g g g g g g g for for forensic analysis Recently deep learning models has has been used to
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analyse handwriting handwriting features to
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predict the age and and and and gender of of writers However variations in in in in in handwriting handwriting styles and and and and lack of of of of large annotated datasets datasets make classification challenging Our project aims to
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evaluate the the the the the the effectiveness of of of of the the the the the the state-of-the art deep learning models on on on benchmark datasets datasets to
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assess their accuracy in in in classifying the the the the the the age age and and and gender gender of of of of writers We aim to
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contribute to
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the the the the the the development of of reliable and and and and accurate techniques for age age age and and and and gender gender classification from handwriting images
Keywords: automated age age age and and and gender classification deep learning document image image analysis analysis handwriting analysis 129