112 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indonesian Institute of SciencesID4 papers
- Sebelas Maret UniversityID3 papers
- Brunel University of LondonGB2 papers
- Chemnitz University of TechnologyDE2 papers
- Institute of Applied Data AnalyticsBN2 papers
- Sylhet International UniversityBD2 papers
- Ambedkar University DelhiIN1 paper
- Australian Research CouncilAU1 paper
- Centre for Quantum Computation and Communication TechnologyAU1 paper
- Chinese Academy of SciencesCN1 paper
- Clarkson UniversityUS1 paper
- ESME - École d’ingénieurs pluridisciplinairesFR1 paper
5 papers · 1 filter
Device identification using optimized digital footprints
Rajarshi Roy Chowdhury, Azam Che Idris, Pg Emeroylariffion Abas
The rapidly increasing number of internet of things (IoT) and non-IoT devices has imposed new security challenges to network administrators. Accurate device identification in the i…
Predictive linguistic cues for fake news: a societal artificial intelligence problem
Sandhya Aneja, Nagender Aneja, Ponnurangam Kumaraguru
Media news are making a large part of public opinion and, therefore, must not be fake. News on web sites, blogs, and social media must be analyzed before being published. In this p…
Computational Modelling of Plasticity-Led Evolution
Eden Tian Hwa Ng, Akira R. Kinjo
Plasticity-led evolution is a form of evolution where a change in the environment induces novel traits via phenotypic plasticity, after which the novel traits are genetically accom…
Item Recommendation Using User Feedback Data and Item Profile
Debashish Roy, Rajarshi Roy Chowdhury, Abdullah Bin Nasser +2
Matrix factorization (MS) is a collaborative filtering (CF) based approach, which is widely used for recommendation systems (RS). In this research work, we deal with the content re…
Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising
Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas +1
Despite substantial advances in network architecture performance, the susceptibility of adversarial attacks makes deep learning challenging to implement in safety-critical applicat…