Backdoor attacks against voice recognition systems: A survey

B Yan, J Lan, Z Yan - ACM Computing Surveys, 2024 - dl.acm.org
Voice Recognition Systems (VRSs) employ deep learning for speech recognition and
speaker recognition. They have been widely deployed in various real-world applications …

A topical network based analysis and visualization of global research trends on green building from 1990 to 2020

Z Wu, Q He, Q Chen, H Xue, S Li - Journal of Cleaner Production, 2021 - Elsevier
The explosive growth of green building (GB) research over the past few decades has posed
great challenges for researchers to effectively grasp the holistic GB research status. This …

Multi-attribute large-scale group decision making with data mining and subgroup leaders: An application to the development of the circular economy

M Tang, H Liao - Technological Forecasting and Social Change, 2021 - Elsevier
The circular economy is a concept that emphasizes a sustainable and regenerative method
of business operations. The circular economy has become the economic embodiment and …

Emerging topic detection in twitter stream based on high utility pattern mining

HJ Choi, CH Park - Expert systems with applications, 2019 - Elsevier
Among internet and smart device applications, Twitter has become a leading social media
platform, disseminating online events occurring in the world on a real-time basis. Many …

Combining geographical and social influences with deep learning for personalized point-of-interest recommendation

J Guo, W Zhang, W Fan, W Li - Journal of Management Information …, 2018 - Taylor & Francis
Personalized point-of-interest (POI) recommendation is important to location-based social
networks (LBSNs) for hel** users to explore new places and for hel** third-party …

Topic detection and tracking techniques on Twitter: a systematic review

M Asgari-Chenaghlu, MR Feizi-Derakhshi… - …, 2021 - Wiley Online Library
Social networks are real‐time platforms formed by users involving conversations and
interactions. This phenomenon of the new information era results in a very huge amount of …

[PDF][PDF] Perbandingan akurasi dan waktu proses algoritma K-NN dan SVM dalam analisis sentimen twitter

MRA Nasution, M Hayaty - J. Inform, 2019 - pdfs.semanticscholar.org
Salah satu cabang ilmu komputer yaitu pembelajaran mesin (machine learning) menjadi
tren dalam beberapa waktu terakhir. Pembelajaran mesin bekerja dengan memanfaatkan …

Programming languages for data-Intensive HPC applications: A systematic map** study

V Amaral, B Norberto, M Goulão, M Aldinucci… - Parallel Computing, 2020 - Elsevier
A major challenge in modelling and simulation is the need to combine expertise in both
software technologies and a given scientific domain. When High-Performance Computing …

Large group emergency decision-making method with linguistic risk appetites based on criteria mining

X Xu, L Wang, X Chen, B Liu - Knowledge-Based Systems, 2019 - Elsevier
In linguistic large group emergency decision-making (LGEDM), the linguistic information of
large numbers of decision makers (DMs) needs to be fused to reach a collective decision …