Results 111 to 120 of about 1,925,652 (255)

Feature-Based Population Initialization for Evolutionary Optimization of Machine Learning Models in Short-Term Solar Power Forecasting

Computation
Nowadays, solar energy is becoming one of the most popular sources of renewable energy worldwide. Traditional fossil fuels cause pollution and climate change, while solar power offers a clean and sustainable alternative.
Aleksei Vakhnin, Harri Niska, Anders V. Lindfors, Mikko Kolehmainen   +3 more
doaj   +1 more source

Bayesian Optimization of Hyperparameters Using Gaussian Processes

, 2019
The goal of this thesis was to implement a practical tool for optimizing hy- perparameters of neural networks using Bayesian optimization. We show the theoretical foundations of Bayesian optimization, including the necessary math- ematical background for
Arnold, Jakub
core  

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection

Journal of Intelligent Systems
Nowadays, anomaly detection in streaming data has gained considerable attention due to the exponential growth in the data gathered by Internet of Things applications. Analyzing and processing vast data volumes requires a system capable of working in real-
Rehan Rabie, Sahran Shahnorbanun, Alyasseri Zaid Abdi Alkareem, Sani Nor Samsiah, Al-Betar Mohammed Azmi   +4 more
doaj   +1 more source

A Combinatorial Approach to Hyperparameter Optimization

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI
Published ...
Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei 0001, Raghu N. Kacker, D. Richard Kuhn   +4 more
openaire   +2 more sources

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Enhancing Amphibious Flipper‐Based Locomotion Through Terrain‐Dependent Bayesian Optimization of Central Pattern Generator Control

Advanced Robotics Research, EarlyView.
A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley   +1 more source

Model Predictive Control for Magnetically Actuated Cellbots

Advanced Robotics Research, EarlyView.
Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah, Logan E. Beaver, Max Sokolich, Fatma Ceren Kirmizitas, Ahmad Ahmad, Roberto Tron, Ron Weiss, Sambeeta Das, Calin Belta   +8 more
wiley   +1 more source

Machine Learning Hyperparameters Optimization for Accurate Arabic Sentiment Classification

Proceedings of the International Conference on Applied Innovations in IT
An improved model performance is achieved by optimizing hyperparameters for Arabic sentiment classification based on machine learning. The use of RNNs, LSTMs, and GRUs, as well as Logistic Regression, Random Forests, and Support Vector Machines as meta ...
Irwan Lakawa, Hujiyanto Hujiyanto, Abbas Oudah Waheed Alomairi   +2 more
doaj   +1 more source

Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning

, 2022
Tackling new machine learning problems with neural networks always means optimizing numerous hyperparameters that define their structure and strongly impact their performances.
Congedo, Pietro Marco, Poëtte, Gaël, Novello, Paul, Lugato, David   +3 more
core