Explainable deep fuzzy cognitive map diagnosis of coronary artery disease: Integrating myocardial perfusion imaging, clinical data, and natural language insights
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …
Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro‐Fuzzy Inference System (ANFIS) Model
One of the major challenges confronting researchers is how to predict biogas yield because
it is a herculean task since research in the field of modeling and optimization of biogas yield …
it is a herculean task since research in the field of modeling and optimization of biogas yield …
Predicting the wear performance of graphene and silicon nitride reinforced aluminium hybrid nanocomposites using artificial intelligence approach
Hybrid nanocomposites of aluminium (NHAMMCs) made from AA5052 are fabricated via stir
casting route by reinforcing 12 wt% Si3N4 and 0.5 wt% of graphene for usage in …
casting route by reinforcing 12 wt% Si3N4 and 0.5 wt% of graphene for usage in …
Development of a cyber-physical system for neurofuzzy prediction of the concentration of the contained prime during transportation of oil wells emulsion
A Sagdatullin, G Degtyarev - Cyber-Physical Systems: Intelligent Models …, 2022 - Springer
Over time, the classical methods of production and development of deposits become
insufficient for the formation of a stable flow of emulsion from wells. This is due, for the most …
insufficient for the formation of a stable flow of emulsion from wells. This is due, for the most …
Prediction of equipment effectiveness using hybrid moving average-adaptive neuro fuzzy inference system (MA-ANFIS) for decision support in bus body building …
A Sivakumar, NB Singh, D Arulkirubakaran… - Anais da Academia …, 2022 - SciELO Brasil
Managers are driven to accomplish significantly higher levels of operational performance
due to the difficulty of today's dynamic production environment. Typically, the precision of …
due to the difficulty of today's dynamic production environment. Typically, the precision of …
[PDF][PDF] Neuro-fuzzy: artificial neural networks & fuzzy logic
Neuro Fuzzy is a hybrid system that combines Artificial Neural Networks with Fuzzy Logic.
Provides a great deal of freedom when it comes to thinking. This phrase, on the other hand …
Provides a great deal of freedom when it comes to thinking. This phrase, on the other hand …
Clustering customer for determine market strategy using K-Means and TOPSIS: Case study
MA Raharja, IKA Surya - … International Conference on …, 2022 - eprosiding.idbbali.ac.id
Abstract determining marketing strategies by companies in the midst of intense market
competition. The research stage starts from preprocessing the data and then calculating the …
competition. The research stage starts from preprocessing the data and then calculating the …
Torque estimation of electric vehicle motor using adaptive-network based fuzzy inference systems
A Kerem - International Journal of Automotive Engineering and …, 2021 - dergipark.org.tr
This paper presents to estimating studies of the torque data of the Electric Vehicle (EV)
motor using Adaptive-Network Based Fuzzy Inference Systems (ANFIS). The real-time data …
motor using Adaptive-Network Based Fuzzy Inference Systems (ANFIS). The real-time data …
Klasifikasi Alzheimer Berdasarkan Data Citra MRI Otak Menggunakan Fcm Dan Anfis
N Almumtazah, MS Kiromi, N Ulinnuha - Jurnal Teknologi Informasi dan …, 2023 - jtiik.ub.ac.id
Penyakit Alzheimer adalah kondisi neurologis yang secara bertahap membunuh sel-sel
otak dan dapat membahayakan otak secara permanen. Sekitar 50 juta orang di seluruh …
otak dan dapat membahayakan otak secara permanen. Sekitar 50 juta orang di seluruh …
System Dynamic: An Intelligent Decision-Support System for Manufacturing Safety Intervention Program Management
Abstract System Dynamics (SD) has been recognized as one of the computational technique
approaches used in studying the behavior of complex feedback systems over time in diverse …
approaches used in studying the behavior of complex feedback systems over time in diverse …