User perceptions of RBI-approved P2P digital lending apps: an NLP, machine learning, and deep learning approach. [PDF]
Sekhar KR, Saheb SS.
europepmc +1 more source
Invigoration Due To Cloud Seeding: New Observations Confirm an Old Hypothesis
Abstract The potential for cloud seeding to induce dynamic changes that alter cloud structure beyond basic ice formation processes has remained theoretical. While previous research hypothesized the presence of dynamic responses in seeded clouds, this study presents the first direct observational evidence that seeding can generate buoyant forces strong ...
Christopher C. Hohman +11 more
wiley +1 more source
HashWave: blockchain-powered perceptual hashing for resilient audio piracy detection against signal-processing attacks in decentralized networks. [PDF]
Pandey S +3 more
europepmc +1 more source
Artificial intelligence for web development: Perspectives from the industry
Abstract As a field, web development is roughly 30 years old, and during this period, it has been transformed several times already as it has moved from static websites to dynamic web applications. Now, with the introduction of Artificial Intelligence (AI), the field is again at the cusp of a transformation as the latest AI tools might change how to ...
Pyry Pohjalainen, Juho Vepsäläinen
wiley +1 more source
Letter to the editor: Re-examining the role of deep learning in cyber forensics: Practical gaps beyond conceptual frameworks. [PDF]
Harihar SA, Kurhade AS, Waware SY.
europepmc +1 more source
Abstract Students frequently make mistakes while solving mathematical problems, and traditional error correction methods are both time‐consuming and labor‐intensive. This paper introduces an innovative Virtual AI Teacher system (VATE) designed to autonomously analyze and correct student Errors.
Tianlong Xu +3 more
wiley +1 more source
A Hybrid Hash-Encryption Scheme for Secure Transmission and Verification of Marine Scientific Research Data. [PDF]
Wang H, Chen M, Wang M, Yang M.
europepmc +1 more source
An actionable framework for AI‐ready data
Abstract Data is the foundation of AI. Poor‐quality data drive up costs and can lead to hidden problems for AI models, especially in complex fields such as healthcare and manufacturing. Meanwhile, biased data negatively affect the performance of AI models, and untested evaluation datasets can result in false positives or overestimates of model accuracy.
Neil Majithia +3 more
wiley +1 more source
Enhancing image retrieval through optimal barcode representation. [PDF]
Khosrowshahli R +5 more
europepmc +1 more source
Robust and Efficient Shoe Print Image Retrieval Using Spatial Transformer Network and Deep Hashing
Wei Liu, Da Xu
openalex +1 more source

