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PPD-DL: Privacy-Preserving Decentralized Deep Learning
2019Privacy 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 +3 more
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VoC-DL: Revisiting Voice Of Customer Using Deep Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2018In 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 +2 more
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Deep Learning (DL) Based On-board Indirect Useful Life Prediction
2020 IEEE International Conference on Consumer Electronics (ICCE), 2020On-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 +3 more
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Deep Learning-Based Polarization Capable Fourier Ptychographic Microscopy (DL-PFPM)
Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), 2023We developed a deep learning-based polarization Fourier ptychographic microscopy (DL-PFPM) reconstruction technique that can obtain wide field-of-view and high-resolution quantitative birefringence retardance and orientation information of specimens from just a single recovered complex field image.
T. Phan +3 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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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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Deep Learning-Driven Polarization-Sensitive Fourier Ptychographic Microscopy (DL-PFPM)
Optica Imaging Congress 2025 (3D, DH, COSI, IS, pcAOP,RadIT)We developed a deep learning-based polarization Fourier ptychographic microscopy (DL-PFPM) reconstruction approach that enables simultaneous acquisition of wide field-of-view and high-resolution quantitative birefringence retardance and orientation information of specimen from just a single recovered complex field image.
T. Phan +3 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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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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Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Nature Reviews Drug Discovery, 2023Artem Cherkasov +2 more
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