Results 51 to 60 of about 6,025 (187)

Quantification of steroid hormones in free‐ranging Apennine wolf Canis lupus italicus hair samples collected post‐mortem

Wildlife Biology, EarlyView.
After decades of dramatic reductions in their populations, Italian wolves have begun recolonizing parts of their historic range. This growth in populations can lead to potential conflicts with human activities, which remain the main cause of wolf mortality.
Ilaria Troisio, Carmela Musto, Nicola Acquisti Casi, Nadia Govoni, Giuseppe Merialdi, Domenico Ventrella, Alberto Elmi, Mauro Delogu, Maria Laura Bacci   +8 more
wiley   +1 more source

Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms

Ain Shams Engineering Journal, 2021
The infiltration process during irrigation is an essential variable for better water management and hence there is a need to develop an accurate model to estimate the amount infiltration water during irrigation.
Mohammad Ehteram, Fang Yenn Teo, Ali Najah Ahmed, Sarmad Dashti Latif, Yuk Feng Huang, Osama Abozweita, Nadhir Al-Ansari, Ahmed El-Shafie   +7 more
doaj   +1 more source

Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal, Iftikhar Ahmad, Asad Habib, Asad Ayub, Hamza Sethi, Ihsanullah Ihsanullah, Hakan Caliskan, Hiki Hong   +7 more
wiley   +1 more source

Adaptive Neuro-fuzzy Inference System and Artificial Neural Network Estimation of Apparent Viscosity of Ice-cream Mixes Stabilized with Different Concentrations of Xanthan Gum

Applied Rheology, 2012
An adaptive neuro-fuzzy inference system (ANFIS) was used to accurately model the effect of gum concentration (GC) and shear rate (SR) on the apparent viscosity (h) of the ice-cream mixes stabilized with different concentrations of xanthan gum.
Toker Ömer Said, Yilmaz Mustafa Tahsin, Karaman Safa, Doǧan Mahmut, Kayacier Ahmed   +4 more
doaj   +1 more source

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

Hybrid intelligence methods for modeling the diffusivity of light hydrocarbons in bitumen

Heliyon, 2020
The solvent diffusivity is considered as a key factor in the design of solvent assisted processes in the bitumen field. In this study, a novel Adaptive neuro-fuzzy interference system (ANFIS) is employed to evaluate the diffusivity of the light ...
Hossein Rajabi Kuyakhi, Omid Zarenia, Ramin Tahmasebi Boldaji   +2 more
doaj   +1 more source

AI‐Driven Strategies for Automated Microalgae Production Systems: Enhancing Yield, Efficiency, and Commercial Viability

GCB Bioenergy, Volume 18, Issue 9, September 2026.
Microalgal bioproduct production is constrained by high cultivation costs. Integrating automated photobioreactors, real‐time pH, light and temperature control, AI‐driven automation, and electronic data logging enables smart cultivation, reduces manual intervention, improves process efficiency, and supports cost‐effective, scalable microalgal bioproduct
Angela Paul Peter, Wan Adibah Wan Mahari, Sharoen Yu Ming Lim, Abdirahman Yasin Ibrahim, Revathy Sankaran, Kalaimani Markandan, Theeba Rajasegran   +6 more
wiley   +1 more source

Enhanced estimation and short-term forecasting of output power of a solar photovoltaic plant using adaptive neuro-fuzzy inference system (ANFIS)

Journal of Electrical Systems and Information Technology
Estimation and forecasting the power of the PV system is very important to the stability of the grid and the management of the energy. The most accurate and least computational methods are those that researchers aspire to develop for predicting the power.
Abdel-Nasser Sharkawy, Belkacem Bekhiti
doaj   +1 more source

Categorical Boosting‐PSO: A SHAP‐Interpretable Hybrid Framework for High‐Fidelity Wax Appearance Temperature Prediction in Subsea Pipelines

Engineering Reports, Volume 8, Issue 8, August 2026.
CatBoost–PSO accurately predicts wax appearance temperature from oil density, wax content, and pour point temperature, achieving R2 = 0.9760 and RMSE = 1.8106 K. External validation, SHAP interpretation, and low computational cost support rapid wax‐risk screening for subsea pipeline flow assurance.
H. M. Rayhan Rifat, Abdullah Abduljabbar, Mysara Eissa Mohyaldinna   +2 more
wiley   +1 more source

PD Pattern Recognition Using ANFIS [PDF]

2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2008
An application of an adaptive neuro-fuzzy inference system (ANFIS) has been investigated for partial discharge (PD) pattern recognition. The proposed classifier was used to discriminate between PD patterns occurring in internal voids. Three different void shapes were considered in this work, namely flat, square and narrow.
Nikola Chalashkanov, N. Kolev, S. Dodd, J.C. Fothergill   +3 more
openaire   +3 more sources