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Malware Detection using Deep Learning (DL)
Journal of Advanced Research in Applied Sciences and Engineering TechnologyThe attack that occurred recently involved the utilization of malicious software, commonly referred to as malware, along with advanced techniques such as machine learning, specifically deep learning, code transformation, and polymorphism. This makes it harder for cyber experts to detect malware using traditional analysis methods.
Chowdhury Sajadul Islam +3 more
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Companion Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
In recent years, deep learning has contributed to a big step forward in artificial intelligence, so that deep learning models have been created extensively in a variety of areas. However, development of deep learning model requires high implementation skills as well as domain knowledge.
Yoo-Mi Park +4 more
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In recent years, deep learning has contributed to a big step forward in artificial intelligence, so that deep learning models have been created extensively in a variety of areas. However, development of deep learning model requires high implementation skills as well as domain knowledge.
Yoo-Mi Park +4 more
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Machine and Deep Learning (ML/DL) Algorithms, Frameworks, and Libraries
2023Each primary, secondary, tertiary, quaternary, and the quinary sector has huge or very huge incremental data from large-scale, small-scale industries, medium industries, or cottage industries. The data associated with each of them are very crucial from every point of view.
Jigna Bhupendra Prajapati +4 more
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DL-GSA: A Deep Learning Metaheuristic Approach to Missing Data Imputation
2018Incomplete data has emerged as a prominent problem in the fields of machine learning, big data and various other academic studies. Due to the surge in deep learning techniques for problem-solving, in this paper, authors have proposed a deep learning-metaheuristic approach to combat the problem of imputing missing data.
Ayush Garg 0003 +3 more
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DL-ASD: A Deep Learning Approach for Autism Spectrum Disorder
2022 5th International Conference on Contemporary Computing and Informatics (IC3I), 2022Ruchi Mittal, Varun Malik, Ajay Rana
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Cough-DL: A Deep Learning Model for Ear-Worn Cough Detection
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Cough serves as a crucial bio-marker for evaluation and monitoring of pulmonary conditions. With growing interest towards automatic cough detection systems, it's important to acknowledge the existing hurdles on the way for a robust cough counter. These include high false positive rate caused by cough-like sounds in the environment, reduced sensitivity ...
Bhawana Chhaglani +4 more
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DL-UCT: A Deep Learning Framework for Ultrasound Computed Tomography
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022Sumukha Prasad, Mohamed Almekkawy
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A Deep Learning-Based Segmentation of Cells and Analysis (DL-SCAN)
Abstract With the recent surge in the development of highly selective probes, fluorescence microscopy has become one of the most widely used approaches to study cellular properties and signaling in living cells and tissues.Alok Bhattarai +5 more
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HTS-DL: Hybrid Text Summarization System using Deep Learning
2022 27th International Computer Conference, Computer Society of Iran (CSICC), 2022Majid Abolghasemi +2 more
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