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A Kalman-Jacobi hybrid model for game theory: a fuzzy logic approach to financial market competition

Alireza Azarberahman, Mahmoodreza Mohammadnejadi Modi • Journal of Business and Socio-Economic Development (2025)

PurposeThis research examines the structure of financial markets by integrating game theory and fuzzy logic. The objective is to develop a differential game model that analyzes competition among financial firms within a specific industry.De...

DOAJ Open Access (DOAJ) DOI: 10.1108/JBSED-03-2024-0030

Mathematical Morphology

Laurent Alain Najman, Hugues Talbot • Wiley eBooks (2013)

Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, ...

OPENALEX DOI: https://doi.org/10.1002/9781118600788

An adaptive cruise control system for autonomous vehicles using PRDC–CoROA-based hybrid optimization

M. Sivaramkrishnan, M. Siva Ramkumar, Kiruthika Balakrishnan, J. Isaac JoshuaRamesh Lalvani • Scientific Reports (2026)

Abstract An adaptive cruise control (ACC) system has a key role to play in enhancing the safety and stability of autonomous vehicles, along with ensuring improved ride quality through proper management of vehicle velocity and distance betwe...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-69261-4

A Personalized Gait Parameter Prediction-Based Speed-Adaptive Control Method for Hybrid Active-Passive Intelligent Prosthetic Knee

Xiaoming Wang, Yuanhua Li, Hui Li, Shengli Luo et al. • Biomimetics (2026)

To address the limitations of current prosthetic knees that lack personalized adaptability to users’ gait characteristics and walking speeds, this study proposes a personalized gait parameter prediction–based speed-adaptive control method f...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomimetics11020136

Fuzzy logic, neural networks, and soft computing

Lotfi A. Zadeh • Communications of the ACM (1994)

article Free Access Share on Fuzzy logic, neural networks, and soft computing Author: Lotfi A. Zadeh Univ. of California, Berkeley Univ. of California, BerkeleyView Profile Authors Info & Claims Communications of the ACMVolume 37Issue 3Marc...

OPENALEX Open Access DOI: https://doi.org/10.1145/175247.175255

Are artificial neural networks black boxes?

José M. Benítez, Juan Luis Castro, Ignacio Requena • IEEE Transactions on Neural Networks (1997)

Artificial neural networks are efficient computing models which have shown their strengths in solving hard problems in artificial intelligence. They have also been shown to be universal approximators. Notwithstanding, one of the major criti...

OPENALEX DOI: https://doi.org/10.1109/72.623216

Understanding Neural Networks and Fuzzy Logic

Stamatios V. Kartalopoulos • Institute of Electrical and Electronics Engineers eBooks (1995)

Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutor...

OPENALEX DOI: https://doi.org/10.1109/9780470546826

Neural Networks in Civil Engineering: 1989–2000

Hojjat Adeli • Computer-Aided Civil and Infrastructure Engineering (2001)

The first journal article on neural network application in civil/structural engineering was published by in this journal in 1989. This article reviews neural network articles published in archival research journals since then. The emphasis ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1111/0885-9507.00219

On Interpretability of Artificial Neural Networks: A Survey

Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang • IEEE Transactions on Radiation and Plasma Medical Sciences (2021)

Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become ...

OPENALEX Open Access DOI: https://doi.org/10.1109/trpms.2021.3066428 PMC: 9105427

A quantum fuzzy logic-enhanced evolutionary framework for energy-latency optimization in 6G Edge-IioT

Siavash Siavashian Rashidi, Ali Broumandnia, Abbas Mirzaei, Ramin Karimi • Scientific Reports (2026)

Abstract The transition toward 6G-enabled Industrial Internet of Things (IIoT) requires strict Ultra-Reliable Low-Latency Communication (URLLC), creating a fundamental trade-off with energy consumption. Orchestrating resources in dense, hyp...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-55177-6

Development and Hybrid Control of an Electrically Actuated Lower Limb Exoskeleton for Motion Assistance

Chao-Feng Chen, Zhi-Jiang Du, Long He, Yong-Jun Shi et al. • IEEE Access (2019)

This paper describes a system design and hybrid control algorithm of an electrically actuated lower limb exoskeleton (LLE). The system design mainly includes three parts: mechanical structure design, actuation system design and sensor syste...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2953302

SIMULATION OF INFORMATION SECURITY RISKS OF AVAILABILITY OF PROJECT DOCUMENTS BASED ON FUZZY LOGIC

Oleksii M. Shushura, Liudmyla A. Asieieva, Oleksiy L. Nedashkivskiy, Yevhen V. Havrylko et al. • Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska (2022)

The widespread use of computer technology, its rapid development and use in almost all areas of human activity requires constant updating of information security issues. The activities of many enterprises in the field of IT, construction, a...

DOAJ Open Access (DOAJ) DOI: 10.35784/iapgos.3033

SAM-trace: a fuzzy logic approach in identifying interaction effects in the exacerbation of childhood malnutrition severity

S Shruthi, Priya Govindarajan, S. R. Shalini, Pavan John Antony • Discover Artificial Intelligence (2026)

Abstract Pediatric malnutrition remains a major global health challenge. Conventional WHO-based binary classification (Severe Acute Malnutrition (SAM) / Moderate Acute Malnutrition (MAM) relies solely on anthropometric thresholds. It fails ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01450-6

Building neural networks

David M. Skapura (1995)

Foundations. Motivation. Neural-Network Fundamentals. Single Neuron Computations. Network Computations. Network Simulation. Foundations Summary. Suggested Readings. Bibliography. Paradigms. The Backpropagation Network. The Counterpropagatio...

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Artificial Empathy and Imprecise Communication in a Multi-Agent System

Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik et al. • Applied Sciences (2024)

This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applicatio...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15010008