Backdoor attacks against voice recognition systems: A survey
Voice Recognition Systems (VRSs) employ deep learning for speech recognition and
speaker recognition. They have been widely deployed in various real-world applications …
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 …
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
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 …
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 …
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
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 …
networks (LBSNs) for hel** users to explore new places and for hel** third-party …
Topic detection and tracking techniques on Twitter: a systematic review
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 …
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
Salah satu cabang ilmu komputer yaitu pembelajaran mesin (machine learning) menjadi
tren dalam beberapa waktu terakhir. Pembelajaran mesin bekerja dengan memanfaatkan …
tren dalam beberapa waktu terakhir. Pembelajaran mesin bekerja dengan memanfaatkan …
Programming languages for data-Intensive HPC applications: A systematic map** study
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 …
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 …
large numbers of decision makers (DMs) needs to be fused to reach a collective decision …