Results 191 to 200 of about 38,367 (259)

Federated learning framework for IoT intrusion detection using tab transformer and nature-inspired hyperparameter optimization. [PDF]

Front Big Data
Abd Elaziz M, Fares IA, Dahou A, Shrahili M.   +3 more
europepmc   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source

Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs. [PDF]

Sci Rep
Al-Mudhafar WJ, Hasan AA, Abbas MA, Wood DA.   +3 more
europepmc   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Enhancing machine learning performance in cardiac surgery ICU: Hyperparameter optimization with metaheuristic algorithm. [PDF]

PLoS One
Bahrami A, Rakhshaninejad M, Ghousi R, Atashi A.   +3 more
europepmc   +1 more source

Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders

Advanced Science, EarlyView.
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley   +1 more source

Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models. [PDF]

Comput Methods Programs Biomed
Calle P, Bates A, Reynolds JC, Liu Y, Cui H, Ly S, Wang C, Zhang Q, de Armendi AJ, Shettar SS, Fu KM, Tang Q, Pan C.   +12 more
europepmc   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Accelerating hyperparameter optimization with a secretary

Neurocomputing
Víctor Muñoz, Carmen Ballester, Dorin Sabin Copaci, Luis Moreno 0001, Dolores Blanco   +4 more
openaire   +1 more source