Results 61 to 70 of about 17,502 (247)

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella   +5 more
wiley   +1 more source

Pumping System Controlled by Neuro-fuzzy

open access: yesAIMS Energy, 2019
The irrigation system in Foggara is adopted by peasants in the Algerian south. Over the years, the water level in the vertebrates has decreased, which has caused the migration of many peasants to their traditional agricultural lands. The studied system aims to strengthen the Foggara with deep wells that rely on large pumps, which are rotated by ...
Mansouri smail, Ouled ali Omar
openaire   +2 more sources

An ARTMAP-incorporated Multi-Agent System for Building Intelligent Heat Management [PDF]

open access: yes, 2013
This paper presents an ARTMAP-incorporated multi-agent system (MAS) for building heat management, which aims to maintain the desired space temperature defined by the building occupants (thermal comfort management) and improve energy efficiency by ...
Liu, Xiongwei, Mokhtar, Maizura
core   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Neuro-fuzzy inverse model control structure of robotic manipulators utilized for physiotherapy applications

open access: yesAin Shams Engineering Journal, 2013
This paper presents a new neuro-fuzzy controller for robot manipulators. First, an inductive learning technique is applied to generate the required inverse modeling rules from input/output data recorded in the off-line structure learning phase. Second, a
A.A. Fahmy, A.M. Abdel Ghany
doaj   +1 more source

Speed Control of Separately Excited DC Motor using Neuro Fuzzy Technique [PDF]

open access: yes, 2010
This paper uses NEURO FUZZY TECHNIQUE in estimating speed and controlling it for a separately excited DC motor. The rotor speed of the dc motor can be made to follow an arbitrarily selected trajectory.
Baranwal, V, Kumar, S
core  

From Ship to Shore: A Review of Vessel‐To‐Grid Bidirectional Charging for Sustainable Maritime Transport

open access: yesEcoEnergy, EarlyView.
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor   +3 more
wiley   +1 more source

Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation [PDF]

open access: yesE3S Web of Conferences
The main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The
Nireekshana Namburi   +2 more
doaj   +1 more source

Intelligent Learning Algorithms for Active Vibration Control [PDF]

open access: yes, 2007
YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms.
Dahal, Keshav P.   +2 more
core   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

open access: yesEpilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron   +7 more
wiley   +1 more source

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