Results 71 to 80 of about 4,961 (191)

Recent Advancements in PVDF‐Based Hybrid Metal Oxide Nanocomposites as Photocatalysts for Environmental Remediation: A Critical Review

Nano Select, Volume 7, Issue 8, August 2026.
ABSTRACT Polyvinylidene Flouride (PVDF)‐based hybrid metal oxides have emerged as significant materials in the domain of wastewater treatment. This review article provides a comprehensive outline of the synthesis, properties, and applications of PVDF‐based hybrid metal oxide composites with a focus on their enhanced performance in wastewater treatment ...
Danish Umer, Maryam Bibi, Nimra Nadeem, Zubair Khaliq, Muhammad Bilal Qadir, Muhammad Zahid, Muhammad Wakil Shahzad, Muhammad Sultan, Rana Muhammad Asif Kanwar, Asim Jilani   +9 more
wiley   +1 more source

Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board

Majlesi Journal of Electrical Engineering
In this paper, an intelligent adaptive controller is designed to handle the transmission time delay problem in a complex and nonlinear bilateral teleoperation system with force feedback.
Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim   +3 more
doaj   +1 more source

Artificial Intelligence Techniques to Enhance Cost, Effort, and Schedule Estimates in Software Development Projects: A Systematic Literature Review

Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.
ABSTRACT The inaccuracy of cost, effort, and schedule estimates remains one of the primary factors associated with failures in software development projects, particularly in contexts characterized by high complexity and frequent changes in requirements.
Rodolfo Barbosa dos Santos, Luiz Eduardo Galvão Martins   +1 more
wiley   +1 more source

Integrating Artificial Intelligence Into Drug Discovery From Medicinal Plants: Current Applications and Infrastructural Challenges

Chemical Biology &Drug Design, Volume 108, Issue 2, August 2026.
This review presents a systems‐oriented roadmap for integrating artificial intelligence into medicinal plant drug discovery to overcome persistent bottlenecks like extract complexity. It highlights that advancing toward reproducible therapeutics requires making phytochemical datasets AI‐ready via rigorous harmonization and phyto‐centric foundational ...
Amit Gangwal, Azim Ansari, Mohd Usman Mohd Siddique, Jyotiram Sawale, Suhas Padmane, Raju Wadekar   +5 more
wiley   +1 more source

Ranfis : Rough Adaptive Neuro-Fuzzy Inference System

, 2007
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Rough Sets based approximation technique has been proposed based on a certain Neuro – Fuzzy architecture. A New Rough Neuron composition consisting of a combination of a Lower Bound neuron and a Boundary neuron has also been described.
Chandana, Sandeep, Mayorga, Rene V.
openaire   +1 more source

Performance of adaptive neural-fuzzy inference system in predicting household waste production in Tabriz, Iran

سلامت و محیط, 2023
Background and Objective:  One of the important environmental problems is the mass production of urban waste, which has increased per capita household waste production with the ever-increasing population growth; Therefore, nowadays, the use of ...
Samira Bagheri, Farhad Nejadkoorki, Seyed Alireza Afshani, Vahid Mousavi   +3 more
doaj  

Modeling of Activated Sludge Process Using Sequential Adaptive Neuro-fuzzy Inference System [PDF]

آب و فاضلاب, 2014
In this study, an adaptive neuro-fuzzy inference system (ANFIS) has been applied to model activated sludge wastewater treatment process of Mobin petrochemical company.
Mahsa Vajedi, Shahrokh Shahhosseini
doaj  

ANFIS Controller for Non-holonomic Robots

Majlesi Journal of Electrical Engineering
In this paper, a control strategy for a non-holonomic robot based on an Adaptive Neural Fuzzy Inference System is proposed. The neuro-controller makes it possible for the robot to track a given reference trajectory.
Ting Wang, Christophe Sabourin, Kourosh Madani   +2 more
doaj   +1 more source

Adaptive neuro-fuzzy inference system for drought modeling

MAUSAM
. Drought exerts a significant impact on both the environment and agricultural sectors, particularly in farming. Addressing the impact of drough is essential for all stackholders who depends on natural water sources.  Adaptive Neuro-Fuzzy Inference System (ANFIS), one of the hybrid artificial neural networks, is primarily used in this study to model ...
null M Radha, S.Vishnu Shankar, null I Induja, null S Kokilavani   +3 more
openaire   +1 more source

A Portrayal of Sliding Mode Control Through Adaptive Neuro Fuzzy Inference System With Optimization Perspective

IEEE Access
Sliding mode control is a promising approach for designing controllers for systems with empirical characteristics. This is a favored nonlinear control strategy that effectively addresses the uncertainties present in derived mathematical models.
Jim George, Geetha Mani
doaj   +1 more source