Results 141 to 150 of about 2,499,365 (180)

Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy. [PDF]

PeerJ Comput Sci
Tang Y, Gao Z, Cai Z, Yu J, Qin P.
europepmc   +1 more source

Event-triggered fuzzy neural-network PID control for nonlinear gas-blending processes. [PDF]

Sci Rep
Dong W, Wang S, Zhang Z.
europepmc   +1 more source

Optimized intrusion detection for IoT networks using Cauchy-Gaussian hybrid evolutionary feature selection. [PDF]

Sci Rep
Saranya T, Indra Priyadharshini S.
europepmc   +1 more source

Enhancing Oral Squamous Cell Carcinoma Detection Using Histopathological Images: A Deep Feature Fusion and Improved Haris Hawks Optimization-Based Framework. [PDF]

Bioengineering (Basel)
Zafar A, Khalid M, Farrash M, Qadah TM, Lahza HFM, Kim SH.   +5 more
europepmc   +1 more source

Camera Calibration Optimization Algorithm Based on Nutcracker Optimization Algorithm. [PDF]

Sensors (Basel)
Li L, Xiao Z, Hu T.
europepmc   +1 more source

Optimized Machine Learning Models for Predicting Core Body Temperature in Dairy Cows: Enhancing Accuracy and Interpretability for Practical Livestock Management. [PDF]

Animals (Basel)
Li D, Yan G, Li F, Lin H, Jiao H, Han H, Liu W.   +6 more
europepmc   +1 more source

Deep Ensemble of Slime Mold Algorithm and Arithmetic Optimization Algorithm for Global Optimization [PDF]

Processes, 2021
In this paper, a new hybrid algorithm based on two meta-heuristic algorithms is presented to improve the optimization capability of original algorithms. This hybrid algorithm is realized by the deep ensemble of two new proposed meta-heuristic methods, i.e., slime mold algorithm (SMA) and arithmetic optimization algorithm (AOA), called DESMAOA.
Laith Abualigah, Heming Jia, Shuang Wang
exaly   +2 more sources

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A Navigation Algorithm for Swarm Robotics Inspired by Slime Mold Aggregation

Lecture Notes in Computer Science, 2007
This article presents a novel bio-inspired navigation principle for swarm robotics that is based on a technique of signal propagation that was inspired by slime mold. We evaluated this strategy in a variety of simulation experiments that simulates a collective cleaning scenario.
Thomas Schmickl
exaly   +2 more sources

Optimum design of a composite drone component using slime mold algorithm

Materials Testing, 2023
Abstract Composite materials have a wide range of applications in many industries due to their manufacturability, high strength values, and light filling. The sector where composite materials are mostly used is the aviation industry. Today, as a result of the development of aviation systems, drones have started to be actively used, and ...
Ylldlz, BETÜL SULTAN, Ylldlz, ALİ RIZA, Kopar, Mehmet   +2 more
openaire   +2 more sources

Efficiency of the slime mold algorithm for damage detection of large‐scale structures

The Structural Design of Tall and Special Buildings, 2022
SummaryOptimization‐based methods are increasingly being implemented for structural damage detection problems through the minimization of the objective functions based on vibration data. The adopted optimization algorithm and objective function play an important role in the accurate detection and quantification of damages.
Parsa Ghannadi, Seyed Sina Kourehli
openaire   +1 more source