Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications
OS Albahri, MS Al-Samarraay, HA AlSattar… - Neural Computing and …, 2023 - Springer
Intrusion detection systems (IDSs) are commonly employed to mitigate network security
threats in various fields, including federated learning applications within the Internet of …
threats in various fields, including federated learning applications within the Internet of …
[HTML][HTML] Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future
Abstract Energy Systems Integration (ESI) involves coordinating and planning energy
systems to provide reliable and affordable energy services while minimizing environmental …
systems to provide reliable and affordable energy services while minimizing environmental …
[HTML][HTML] Evaluation of organizational culture in companies for fostering a digital innovation using q-rung picture fuzzy based decision-making model
Developing a comprehensive data-driven strategy for evaluating the organisational culture
in companies to foster digital innovation involves a multi-criteria decision-making (MCDM) …
in companies to foster digital innovation involves a multi-criteria decision-making (MCDM) …
A probabilistic hesitant fuzzy MCDM approach to selecting treatment policy for COVID-19
The global significant rise in the number of sick individuals and fatalities has made the
ongoing struggle against the severe and lethal COVID-19 pandemic a global effort. There …
ongoing struggle against the severe and lethal COVID-19 pandemic a global effort. There …
A framework to evaluate the temporary hospital locations in wake of COVID-19 pandemic: implications to healthcare operations
The pandemic caused by coronavirus disease (COVID-19) endangered individuals and led
to global disruptions. The pandemic strained the already overburdened Indian healthcare …
to global disruptions. The pandemic strained the already overburdened Indian healthcare …
[PDF][PDF] A multi-criteria decision-making model for pontoon bridge selection: An application of the DIBR II-NWBM-FF MAIRCA approach
In military operations, the proficient overcoming of water barriers is paramount, with sub-
optimal execution potentially leading to significant human and equipment casualties. In this …
optimal execution potentially leading to significant human and equipment casualties. In this …
Assessment the Health Sustainability using Neutrosophic MCDM Methodology: Case Study COVID-19
As a result of the severe difficulties presented by the COVID-19 pandemic, a holistic
response is required, one that takes into account both the urgent needs of patients and the …
response is required, one that takes into account both the urgent needs of patients and the …
Fuzzy Domination Graphs in Decision Support Tasks
V Sudakov, A Zhukov - Mathematics, 2023 - mdpi.com
In decision support tasks, one often has to deal with uncertainty due to fuzzy judgments of
the decision maker or the expert. This paper proposes methods that allow you to rank the …
the decision maker or the expert. This paper proposes methods that allow you to rank the …
Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications
In the context of autism spectrum disorder (ASD) triage, the robustness of machine learning
(ML) models is a paramount concern. Ensuring the robustness of ML models faces issues …
(ML) models is a paramount concern. Ensuring the robustness of ML models faces issues …