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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 …
[HTML][HTML] Toward secret data location via fuzzy logic and convolutional neural network
Locating hidden data in digital images, otherwise called steganalysis, is a process of
identifying the existence of secret messages within digital images. Steganalysis is used to …
identifying the existence of secret messages within digital images. Steganalysis is used to …
[HTML][HTML] An exploratory study of tweets about the SARS-CoV-2 Omicron variant: Insights from sentiment analysis, language interpretation, source tracking, type …
N Thakur, CY Han - COVID, 2022 - mdpi.com
This paper presents the findings of an exploratory study on the continuously generating Big
Data on Twitter related to the sharing of information, news, views, opinions, ideas …
Data on Twitter related to the sharing of information, news, views, opinions, ideas …
Attention-based RU-BiLSTM sentiment analysis model for roman Urdu
Deep neural networks have emerged as a leading approach towards handling many natural
language processing (NLP) tasks. Deep networks initially conquered the problems of …
language processing (NLP) tasks. Deep networks initially conquered the problems of …
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 …
Supervised term-category feature weighting for improved text classification
Text classification is a central task in Natural Language Processing (NLP) that aims at
categorizing text documents into predefined classes or categories. It requires appropriate …
categorizing text documents into predefined classes or categories. It requires appropriate …
Automated and personalized nutrition health assessment, recommendation, and progress evaluation using fuzzy reasoning
Establishing a healthy lifestyle has become a very important aspect in people's lives. The
latter requires maintaining a healthy nutrition by considering the type and quantity of …
latter requires maintaining a healthy nutrition by considering the type and quantity of …