A systematic literature review on swarm intelligence based intrusion detection system: past, present and future
Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …
using traditional mathematical methodologies by using a collective behavior of a …
A systematic review on fuzzy-based multi-objective linear programming methodologies: concepts, challenges and applications
This systematic review aims to evaluate the efficacy of fuzzy multi-objective optimization
techniques in supporting decision-making in financial portfolio management under …
techniques in supporting decision-making in financial portfolio management under …
An evolutionary KNN model for DDoS assault detection using genetic algorithm based optimization
Abstract Distributed Denial of Service (DDoS) attacks continue to pose a significant threat to
network infrastructures, exploiting vulnerabilities within existing security protocols and …
network infrastructures, exploiting vulnerabilities within existing security protocols and …
Demystifying ChatGPT: An in-depth survey of OpenAI's robust large language models
Recent advancements in natural language processing (NLP) have catalyzed the
development of models capable of generating coherent and contextually relevant …
development of models capable of generating coherent and contextually relevant …
Automated diabetic retinopathy severity grading using novel DR-ResNet+ deep learning model
Diabetic retinopathy, a microvascular condition associated with an increased risk of
cardiovascular disease, poses a substantial global healthcare challenge. The demand for …
cardiovascular disease, poses a substantial global healthcare challenge. The demand for …
A systematic survey on implementation of fuzzy regression models for real life applications
Regression analysis is a statistical method employed to establish the relationship between"
independent variables" and" dependent variables." This widely utilized analysis technique is …
independent variables" and" dependent variables." This widely utilized analysis technique is …
Node multi-attribute network community healthcare detection based on graphical matrix factorization
The significance of community structure in complex networks, such as social, biological, and
online networks, has been widely recognized. Detecting communities in social media …
online networks, has been widely recognized. Detecting communities in social media …
[HTML][HTML] Can laser irradiation improve the strength of weak rock mass?
Controllable rock cracking technology is crucial for the exploration and exploitation of deep
underground resources. Many existing studies have been dedicated to the laser-assisted …
underground resources. Many existing studies have been dedicated to the laser-assisted …
Artificial intelligence‐enabled smart city management using multi‐objective optimization strategies
This article outlines an integrated strategy that combines fuzzy multi‐objective programming
and a multi‐criteria decision‐making framework to achieve a number of transportation …
and a multi‐criteria decision‐making framework to achieve a number of transportation …
Fuzzy logic based medical diagnostic system for hepatitis B using machine learning
Hepatitis B is a virus that attacks the liver and causes liver disease. This virus is a possibly
deadly infection of liver. The Hepatitis infection mainly disturbs all the operations done by …
deadly infection of liver. The Hepatitis infection mainly disturbs all the operations done by …