Blar i NTNU Open på forfatter "Yazidi, Anis"
-
Modeling Wind-Speed Statistics beyond the Weibull Distribution
Lencastre, Pedro; Yazidi, Anis; Lind, Pedro (Journal article; Peer reviewed, 2024)While it is well known that the Weibull distribution is a good model for wind-speed measurements and can be explained through simple statistical arguments, how such a model holds for shorter time periods is still an open ... -
Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?
Rego Lencastre e Silva, Pedro; Gjersdal, Marit; Gorjão, Leonardo Rydin; Yazidi, Anis; Lind, Pedro (Peer reviewed; Journal article, 2023)The usage of generative adversarial networks (GAN)s for synthetic time-series data generation has been gaining popularity in recent years with applications from finance to music composition and processing of textual content. ... -
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Peer reviewed; Journal article, 2020)Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ... -
A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis
Sharma, Krishna Kumar; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2022)With the rapid development of sensors and mechanical systems, we produce an exponentially large amount of data daily. Usually, faults are prevalent in these sensory systems due to harsh operational conditions. Thus, detecting ... -
A new decision making model based on Rank Centrality for GDM with fuzzy preference relations
Yazidi, Anis; Ivanovska, Magdalena; Zennaro, Fabio Massimo; Lind, Pedro; Viedma, Enrique Herrera (Peer reviewed; Journal article, 2021)Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ... -
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays
Karnati, Mohan; Seal, Ayan; Sahu, Geet; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2022)The COVID-19 pandemic has posed an unprecedented threat to the global public health system, primarily infecting the airway epithelial cells in the respiratory tract. Chest X-ray (CXR) is widely available, faster, and less ... -
On Converting Crisp Failure Possibility into Probability for Reliability of Complex Systems
Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Peer reviewed; Journal article, 2021)The reliability of complex systems is analyzed based on several systematic steps using many safety engineering methods. The most common technique for safety system analysis and reliability, vulnerability and criticality ... -
Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships
Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2021)This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based ... -
Optimization of dynamical systems towards criticality and intelligent behavior
Pontes-Filho, Sidney (Doctoral theses at NTNU;2023:57, Doctoral thesis, 2023)With the progress of computing power, artificial intelligence (AI) systems are able to achieve outstanding results that surpass human-level performance on some tasks, such as image recognition. Mainstream AI systems are ... -
A personality-aware group recommendation system based on pairwise preferences
Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Peer reviewed; Journal article, 2022)Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ... -
Predicting an unstable tear film through artificial intelligence
Fineide, Fredrik; Storås, Andrea; Chen, Xiangjun; Magnø, Morten Schjerven; Yazidi, Anis; Riegler, Michael; Utheim, Tor Paaske (Peer reviewed; Journal article, 2022)Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ... -
Predicting missing pairwise preferences from similarity features in group decision making
Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (Peer reviewed; Journal article, 2022)In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ... -
Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data
Hammer, Hugo Lewi; Yazidi, Anis; Bratterud, Alfred; Haugerud, Hårek; Feng, Boning (Chapter, 2016)Statistical queuing models are popular to analyze a computer systems ability to process different types requests. A common strategy is to run stress tests by sending artificial requests to the system. The rate and sizes ... -
A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA
Rauniyar, Ashish; Yazidi, Anis; Engelstad, Paal E.; Østerbø, Olav Norvald (Chapter, 2020)Optimal power allocation problem in wireless networks is known to be usually a complex optimization problem. In this paper, we present a simple and energy-efficient distributed power control in downlink Non-Orthogonal ... -
S-Divergence-Based Internal Clustering Validation Index
Sharma, Krishna Kumar; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2023) -
SDN Spotlight: A real-time OpenFlow troubleshooting framework
Aryan, Ramtin; Yazidi, Anis; Brattensborg, Frode; Kure, Øivind; Engelstad, Paal E. (Journal article; Peer reviewed, 2022)Troubleshooting in SDN-based networks is still a cumbersome task that can overwhelm human attention. Various anomalies, such as installation failure, disordered rules, and loops, remain unnoticed even when the most recent ... -
Towards the Neuroevolution of Low-level artificial general intelligence
Pontes Filho, Sidney; Olsen, Kristoffer; Yazidi, Anis; Riegler, Michael; Halvorsen, Pål; Nichele, Stefano (Peer reviewed; Journal article, 2022)In this work, we argue that the search for Artificial General Intelligence should start from a much lower level than human-level intelligence. The circumstances of intelligent behavior in nature resulted from an organism ... -
Trustworthy machine learning in the context of security and privacy
Upreti, Ramesh; Lind, Pedro; Elmokashfi, Ahmed; Yazidi, Anis (Peer reviewed; Journal article, 2024)Artificial intelligence-based algorithms are widely adopted in critical applications such as healthcare and autonomous vehicles. Mitigating the security and privacy issues of AI models, and enhancing their trustworthiness ... -
Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey
Karnati, Mohan; Seal, Ayan; Bhattacharjee, Debotosh; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2023)Emotion recognition plays a significant role in cognitive psychology research. However, measuring emotions is a challenging task. Thus, several approaches have been designed for facial expression recognition (FER). Although, ... -
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface
Khan, Haroon; Khadka, Rabindra; Sultan, Malik Shahid; Yazidi, Anis; Ombao, Hernando; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ...