Results 121 to 130 of about 4,028 (199)

Beyond Bio-Inspired Algorithms: Using Bird Landing Dynamics to Design Adaptive Parameter Control in Metaheuristics. [PDF]

Biomimetics (Basel)
Pérez A, Crawford B, Rodriguez-Tello E, Mendoza J, Astorga G, Soto R.   +5 more
europepmc   +1 more source

Machine Learning-Driven Prediction and Design Guidance for Asphalt Concrete Using Marshall Stability and Indirect Tensile Strength. [PDF]

Materials (Basel)
Xing J, Tan X, Guo M, Guo P, Wang Y, Jin D.   +5 more
europepmc   +1 more source

Training PBertKla on an Integrated Multi-Source Dataset with a Machine-Learning Layer for Lysine Lactylation Site Prediction. [PDF]

Int J Mol Sci
Jin SB, Park J, Lee SD, Han JH, Myung SH, Park K, Yun J.   +6 more
europepmc   +1 more source

Heart disease prediction using rough neutrosophic sets and dual-attention neural networks: RNS-OptiDANet. [PDF]

Front Artif Intell
Ashika T, Hannah Grace G.
europepmc   +1 more source

Samougađanje hiperparametara Cartographer algoritma korištenjem radnog okvira Optuna [PDF]

This work provides a more detailed overview of the theoretical elements of the algorithms and methods used throughout the project. A basic description of SLAM algorithms is given, followed by the specific characteristics of the Cartographer algorithm.
openaire  

Prediction of Ligand Binding to Transthyretin Using Machine Learning Algorithms and Low-Dimensional Molecular Descriptors: A Tox24 Challenge Study. [PDF]

Chem Res Toxicol
Stefaniak F.
europepmc   +1 more source

Real-World Pharmacotherapy-Driven Cardiovascular Risk Prediction Using Interpretable Machine Learning and Jordanian EHR Data. [PDF]

Med Sci (Basel)
Moshawih S, Gharaibeh L, Alfreahat I, Shnoudeh AJ.   +3 more
europepmc   +1 more source

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings. [PDF]

Sci Rep
Khafagy M, Khafagy M, Swillam MA.
europepmc   +1 more source

Fine-Tuning CNN-BiGRU for Intrusion Detection with SMOTE Optimization Using Optuna

Network security faces a significant challenge in developing effective models for intrusion detection within network systems. Network Intrusion Detection Systems (NIDS) are vital for protecting network traffic and preempting potential attacks by ...
BENCHAMA, Asmaa, ZEBBARA, Khalid
core  

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams. [PDF]

Sci Rep
Wen Y, Guo R, Duan Z, Tong Y, Tang X, Pan T, Fu C.   +6 more
europepmc   +1 more source