Results 231 to 240 of about 2,942,043 (344)

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Approximate‐Guided Representation Learning in Vision Transformer

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the transformer model has demonstrated excellent performance in computer vision (CV) applications. The key lies in its guided representation attention mechanism, which uses dot‐product to depict complex feature relationships, and comprehensively understands the context semantics to obtain feature weights.
Kaili Wang   +4 more
wiley   +1 more source

Education and midlife cognitive functioning: Evidence from the High School and Beyond cohort. [PDF]

open access: yesAlzheimers Dement
Muller C   +6 more
europepmc   +1 more source

Algebra Transformation Systems and their Composition

open access: yesFundamental Approaches to Software Engineering, 1998
M. Große-Rhode
semanticscholar   +1 more source

Bidirectional carbon emission flow analysis for the high‐penetration renewable energy systems with distributed energy resources

open access: yesEnergy Conversion and Economics, EarlyView.
Abstract High‐penetration renewable energy systems (HPRES) are characterized by the extensive deployment of distributed energy resources (DERs), such as the grid‐side independent storage, consumer‐side distributed storage, and the combination of consumer‐side distributed storage with distributed photovoltaics and wind turbines.
Hanbing Zhang   +6 more
wiley   +1 more source

Tensor Decomposition‐Based Model Order Reduction Applied to Multi‐Parameter Electromagnetic Problems in the Context of Digital Twins

open access: yesHigh Voltage, EarlyView.
ABSTRACT Digital twin is considered the key technique for real‐time monitoring and life‐cycle management of electric equipment. To construct the digital twin model of electric equipment, a multi‐parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.
Ze Guo, Zuqi Tang, Zhuoxiang Ren
wiley   +1 more source

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