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- research-articleOctober 2024
RFDB: Robust watermarking scheme with Fuzzy-DnCNN using blockchain technique for identity verification
Expert Systems with Applications: An International Journal (EXWA), Volume 255, Issue PBhttps://doi.org/10.1016/j.eswa.2024.124554Highlights- FIS is used for attaining the optimal scaling factor.
- Efficient fusion of RDWT-QR-RSVD is utilized.
- Henon map is used for secure transmission.
- DnCNN is used to enhance robustness.
- Blockchain-based authentication is ...
Due to the vast development of computer technology, the security and copyright protection are the major issues which needs to be addressed. The medical data in one of the most important data which must be secured for correct diagnosis. ...
- research-articleOctober 2024
VNSMAS: A constraint-based portfolio profit maximization
Computers and Operations Research (CORS), Volume 170, Issue Chttps://doi.org/10.1016/j.cor.2024.106769AbstractStock trading has a more significant influence on the global economy. Stock trading with portfolio optimization became challenging due to the complexity of analyzing the high variance in time series stock data. Efficient portfolio management ...
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Highlights- Testing the predictive model on three possible trends proves the efficiency.
- Integration of Fuzzy c-means and GAN improves data quality.
- Multi-Agent system with reinforcement learning learns the competitive environment.
- Domain-...
- research-articleJuly 2024
A FAHP-VIKOR model for evaluating single point interchange operational performance
Expert Systems with Applications: An International Journal (EXWA), Volume 248, Issue Chttps://doi.org/10.1016/j.eswa.2024.123386AbstractSingle Points Urban Interchanges (SPUI) have been widely implemented because they increase capacity, boost efficiency, and improve operational performance. Under various SPUI schemes, there are no specific selection criteria for designs. This ...
- research-articleJuly 2024
VLSI implementation of an energy-efficient color image compressor using improved block truncation coding and enhanced Golomb-rice coding for wireless sensor networks
The Journal of Supercomputing (JSCO), Volume 80, Issue 17Pages 24807–24834https://doi.org/10.1007/s11227-024-06311-6AbstractThe very large-scale integration implementation of a unique hardware-oriented image compression technique for wireless sensor networks (WSNs) is presented in this work. Networks of individually owned sensors spread out throughout an area that can ...
- research-articleJuly 2024
Dissipative control for quaternion-valued fuzzy memristive neural networks: Nonlinear scalarization approach
AbstractThis paper deals with the dissipative control for a class of quaternion-valued fuzzy memristive neural networks. By constructing proper Lyapunov functionals and using adaptive controller, the strictly ( Q , S , R )-dissipative are characterized ...
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- research-articleJuly 2024
Fuzzy-based predictive deep reinforcement learning for robust and constrained optimal control of industrial solar thermal plants
AbstractIntegrating distributed solar fields (DSFs) into conventional heat and power plants (CHPs) of industries is mostly constrained by the availability of a real-time capable control scheme. Safe and efficient operation of industrial DSF requires the ...
Highlights- Deep deterministic policy gradient algorithm for constrained optimal control of industrial distributed solar field (DSF).
- Fuzzy-based semi-physical modelling to integrate data and prior knowledge with dynamic and steady state models.
- ArticleJune 2024
Assessing the Compatibility Between Musical Performance and Tuning System
AbstractThis paper we propose a novel method, based on a fuzzy approach, for assessing the compatibility of a set of experimentally measured notes with any theoretical tuning system. Through the exposition of three illustrative experiments, we demonstrate ...
- research-articleApril 2024
Speech Emotion Recognition Using Machine Learning: A Comparative Analysis
AbstractIt is possible to identify emotions based on a person's speech. The field of research focusing on expressing emotions through voice is continuously evolving. This study utilizes the SAVEE and IEMOCAP datasets to explore Speech Emotion Recognition. ...
- research-articleApril 2024
Particle swarm optimization and FM/FM/1/WV retrial queues with catastrophes: application to cloud storage
The Journal of Supercomputing (JSCO), Volume 80, Issue 11Pages 15429–15463https://doi.org/10.1007/s11227-024-06068-yAbstractThe cloud storage service, known for its flexible and expandable nature, often has difficulties managing operating costs while ensuring dependable service and quick response times. This investigation presents a novel approach to optimizing cost ...
- research-articleMay 2024
Parallel Fuzzy C-Means Clustering Based Big Data Anonymization Using Hadoop MapReduce
Wireless Personal Communications: An International Journal (WPCO), Volume 135, Issue 4Pages 2103–2130https://doi.org/10.1007/s11277-024-11101-7AbstractThe amount of data on the internet is steadily growing due to recent technological advancements in cyber-physical-social systems, sensor networks, and communication technologies. Many information scientists, policy and decision-makers are ...
- research-articleJanuary 2024
The numerical solution of fuzzy singular Lyapunov matrix equations
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 46, Issue 1Pages 1329–1340https://doi.org/10.3233/JIFS-230990Fuzzy singular Lyapunov matrix equations have many applications, but feasible numerical methods to solve them are absent. In this paper, we propose an efficient numerical method for fuzzy singular Lyapunov matrix equations, where A is crisp and semi-...
- research-articleNovember 2023
Fuzzy discretization and control for non-linear, multiple binary input systems
AbstractThe control of continuous-time linear systems with binary inputs cannot benefit from existing control design techniques because they are based on continuous control actions. In particular, optimal control problems with binary inputs lead to ...
- articleSeptember 2023
Identification of Trajectory Anomalies on Video Surveillance Systems
International Journal of Digital Literacy and Digital Competence (AIJDLDC), Volume 14, Issue 1Pages 1–18https://doi.org/10.4018/IJDLDC.330587Recently, CCTV surveillance applications have remarkably developed for public welfare. However, the investigation of different techniques for online implementation is always significantly restricted. Numerous implementations propose for detecting ...
- research-articleSeptember 2023
A Novel Fuzzy Marine White Shark Optimization Based Efficient Routing and Enhancing Network Lifetime in MANET
Wireless Personal Communications: An International Journal (WPCO), Volume 132, Issue 4Pages 2363–2385https://doi.org/10.1007/s11277-023-10675-yAbstractA mobile ad hoc network (MANET) is an independent wireless temporary network established by employing a set of mobile nodes (i.e. laptops, smartphones, iPods, etc.) appropriate for the environment in which the network infrastructures are not ...
- research-articleSeptember 2023
Fuzzy modeling and cost optimization for machine repair problem with retrial under admission control F-policy and feedback
Mathematics and Computers in Simulation (MCSC), Volume 211, Issue CPages 214–240https://doi.org/10.1016/j.matcom.2023.03.036AbstractIn the present paper, the machine repair problem (MRP) with real-life scenarios is investigated, which plays a significant role in the manufacturing process, industries, production lines, etc. An M∖M∖ 1 ∖K machine repair problem with ...
- research-articleSeptember 2023
Fuzzy-VGG: A fast deep learning method for predicting the staging of Alzheimer's disease based on brain MRI
Information Sciences: an International Journal (ISCI), Volume 642, Issue Chttps://doi.org/10.1016/j.ins.2023.119129Highlights- Fuzzy theory used to highlight key MRI info, improving training results while reducing time and effort.
Alzheimer's disease, a primary degenerative encephalopathy, predominantly affects elderly and pre-elderly individuals and is characterized by persistent anxiety-like brain activity. Despite magnetic resonance imaging emerging as a ...
- research-articleAugust 2023
Multiple kernel learning-based rule reduction method for fuzzy modeling
AbstractAs a model for complex processes, the Takagi-Sugeno fuzzy model (T-S fuzzy model) usually requires numerous rules, often leading to dimension disaster. To mitigate this problem while preserving modeling accuracy, a multiple kernel learning-based ...
- research-articleAugust 2023
A fuzzy value for the fuzzy TU-game based on the relative group marginal contribution of coalition with restricted size
AbstractConsidering the group marginal contribution of coalitions (with size no larger than k), we study the cooperative game (transferable utility game (TU-game)) with a fuzzy payoff (i.e., fuzzy TU-game). In order to reflect the impact of the coalition'...
- research-articleJuly 2023
Sentiment analysis on labeled and unlabeled datasets using BERT architecture
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 28, Issue 15-16Pages 8623–8640https://doi.org/10.1007/s00500-023-08876-5AbstractSentiment analysis (SA) is the study of human perception in any subject of practice. It retrieves data from datasets using natural language processing (NLP) methodologies and algorithms that are either regulation-based, blended, or rely on machine ...
- research-articleJuly 2023
FASR-LED: reducing energy consumption in wireless body area networks by an efficient smart method
The Journal of Supercomputing (JSCO), Volume 80, Issue 1Pages 1009–1036https://doi.org/10.1007/s11227-023-05481-zAbstractWireless body area networks (WBANs) are a low-cost solution for healthcare applications. However, in these networks, a huge amount of transmission is required to record the patient's status, leading to reduce energy rapidly. To solve this problem, ...