An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Social media algorithms change constantly, making it hard to maintain consistent reach and engagement. This article breaks ...
These conversations reveal how top practitioners are adapting strategy as platforms prioritize automation over transparency.
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
Abstract: Hierarchical density based spatial clustering is a state-of-the-art clustering algorithm that is widely used by the research community for the analysis of spatial data. This popularity is in ...
Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...
Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...
Abstract: This work centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering assumes that the examples are classified and has the ...
About every 10 minutes, it seems, a new article about a "revolutionary breakthrough" in AI hits my screen. A new approach, a new feature, billions of dollars this, AI agents that. It has been non-stop ...
Accurate LAI estimation of soybean plants in the field using deep learning and clustering algorithms
National Key Laboratory for Tropical Crop Breeding, Sanya Research Institute of Hainan University, Hainan University, Sanya, China The leaf area index (LAI) is a critical parameter for characterizing ...
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