Results 111 to 120 of about 3,152,913 (284)

Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method

open access: yesAdvances in Electrical and Computer Engineering, 2015
Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case.
DEMIR, M., KARCI, A.
doaj   +1 more source

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

open access: yesAdvanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei   +3 more
wiley   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

open access: yesAdvanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao   +12 more
wiley   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

open access: yesAdvanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo   +3 more
wiley   +1 more source

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

open access: yesAdvanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer   +19 more
wiley   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

open access: yesAdvanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong   +10 more
wiley   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

open access: yesAdvanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin   +6 more
wiley   +1 more source

A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]

open access: yes
In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
Debels, D   +3 more
core  

Pre‐Refinement Prediction of Dopant Site Occupancy in M‐Type Hexaferrites via Hierarchical and Uncertainty‐Aware Machine‐Learning

open access: yesAdvanced Science, EarlyView.
Refined data are extracted from CIF files to construct a hierarchical machine‐learning framework integrating sublattice classification, Fe‐site occupancy prediction, and reliability assessment. External validation yields 96% accuracy for sublattice classification and a macro mean absolute error of 0.0584 for Fe‐site prediction.
Dan Liu   +9 more
wiley   +1 more source

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