Results 261 to 270 of about 84,699 (302)

VoC-DL: Revisiting Voice Of Customer Using Deep Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
In the field of digital marketing, understanding the voice of the customer is paramount. Mining textual content written by visitors on websites or social media can offer new dimensions to marketers and CX executives. Traditional tasks in NLP like sentiment analysis, topic modeling etc.
Susheel Suresh, Guru Rajan T. S, Vipin Gopinath   +2 more
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Deep Learning (DL) Oriented Forensic Analysis

Advances in Multidisciplinary and scientific Research Journal Publication, 2022
Cyber-attacks are now more prevalent than ever before in all aspects of our daily lives. As a result of this circumstance, both individuals and organizations are fighting cybercrime on a regular basis. Furthermore, today's hackers have advanced a step further and are capable of employing complex cyber-attack strategies, exacerbating the problem.
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PPD-DL: Privacy-Preserving Decentralized Deep Learning

2019
Privacy is a fundamental challenge for the collection of massive training data in deep learning. Decentralized neural network enables clients to collaboratively learn a shared prediction model, which can protect clients’ sensitive dataset without the need to centrally store training data. But distributed training process by iteratively averaging client-
Lei Song, Chunguang Ma, Peng Wu, Yun Zhang 0009   +3 more
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Deep Learning (DL) Based On-board Indirect Useful Life Prediction

2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
On-board diagnostics (OBD) of mechanical parts, such as suspension and chassis, is a long-standing challenge for commercial vehicle because: 1. Direct sensing is not possible on production truck; 2. Customer usage and external environment greatly affect remaining useful life.
Wenbo Yu, Yong Sun, Aishwarya Kadam, Yuting Chen   +3 more
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Malware Detection using Deep Learning (DL)

Journal of Advanced Research in Applied Sciences and Engineering Technology
The 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, Madihah Mohd Saudi, Nur Hafiza Zakaria, Muji Setiyo   +3 more
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DL-dashboard

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, Eun-Ji Lim, Shin-Young Ahn, Wan Choi 0002, Taewoo Kim 0003   +4 more
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Machine and Deep Learning (ML/DL) Algorithms, Frameworks, and Libraries

2023
Each 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, Savan Patel, Richesh Gaurav, Dhvanil Nileshkumar Prajapati, Kavita Saini   +4 more
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DL-GSA: A Deep Learning Metaheuristic Approach to Missing Data Imputation

2018
Incomplete 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, Deepika Naryani, Garvit Aggarwal, Swati Aggarwal   +3 more
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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, Ebrahim Nemati, Sharath Chandrashekhara, Jilong Kuang, Alex Gao 0001   +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), 2022
Sumukha Prasad, Mohamed Almekkawy
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