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ORCIDInternational Journal of Applied Mathematics and Computer Science, Volume 34
Volume 34, Number 1, 2024
- Luis Felipe Ramírez Jerónimo, Belem Saldivar, Carlos Aguilar Ibáñez, José Ángel Acosta
:
An integral and MRAC-based approach to the adaptive stabilisation of a class of linear time-delay systems with unknown parameters. - Jing Zhao, Dayong Liu, Lingshuai Meng:
Remaining useful life prediction of a lithium-ion battery based on a temporal convolutional network with data extension. - Patricio Ordaz, Hugo Romero Trejo, Carlos Cuvas, Omar Sandre-Hernández:
Dynamic sliding mode control based on a full-order observer: Underactuated electro-mechanical system regulation. - Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski:
A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers. - Sylwester Czmil, Jacek Kluska, Anna Czmil:
An empirical study of a simple incremental classifier based on vector quantization and adaptive resonance theory. - Mieczyslaw A. Klopotek:
Wide gaps and Kleinberg's clustering axioms for k-means. - Zoubida Ech-chaffani, Ahmed Aberqi, Touria Karite, Hugo Leiva:
The existence of mild solutions and approximate controllability for nonlinear fractional neutral evolution systems. - Mateusz Czyzniewski, Rafal Langowski:
A hierarchical observer for a non-linear uncertain CSTR model of biochemical processes. - Matteo Barbieri, Roberto Diversi:
Recursive identification of noisy autoregressive models via a noise-compensated overdetermined instrumental variable method. - Alexander Barkalov, Larysa Titarenko, Kamil Mielcarek:
Reducing the number of LUTs for Mealy FSMs with state transformation. - Jacobo Baldonedo, José R. Fernández, Ramón Quintanilla:
Fully discrete approximations and an a priori error analysis of a two-temperature thermo-elastic model with microtemperatures. - Soha Kanso, Mayank Shekhar Jha, Didier Theilliol:
Degradation tolerant optimal control design for stochastic linear systems.
Volume 34, Number 2, 2024
- Qian Zhou, Bo Sun:
A Gaussian-based WGAN-GP oversampling approach for solving the class imbalance problem. - Ping Wang, Min Gao, Junyu Li, Anguo Zhang:
Dynamic adjustment neural network-based cooperative control for vehicle platoons with state constraints. - Przemyslaw Grzegorzewski, Maciej Romaniuk:
Bootstrapped tests for epistemic fuzzy data. - Jaroslaw Rudy, Radoslaw Idzikowski, Czeslaw Smutnicki, Zbigniew Banaszak, Grzegorz Bocewicz:
New ideas in Lagrangian relaxation for a scheduling problem with the weighted tardiness criterion. - Man Xiao, Xiaoqiao Liu, Weidong Li, Xin Chen, Malgorzata Sterna, Jacek Blazewicz:
Online and semi-online scheduling on two hierarchical machines with a common due date to maximize the total early work. - Haoqi Luo, Liang Wan:
A recombination generative adversarial network for intrusion detection. - Francisco-Ronay López-Estrada, Helen Darias, Vicenç Puig, Guillermo Valencia-Palomo, Joaquín Domínguez-Zenteno, María Eusebia Guerrero-Sánchez:
Cooperative convex control of multiagent systems applied to differential drive robots. - Jakub Kwiatkowski, Krzysztof Krawiec:
Learning abstract visual reasoning via task decomposition: A case study in Raven progressive matrices. - Pawel Wojciechowski, Marta Kasprzak:
Assignment of tasks to machines under data replication with a tie to Steiner systems. - Carlos Aguilar Ibáñez, Miguel Santiago Suárez-Castañón, Belem Saldivar, Manuel A. Jiménez-Lizárraga, José de Jesús Rubio, Julio Mendoza-Mendoza:
Algebraic active disturbance rejection to control a generalized uncertain second-order flat system. - Ibrahim Mohammed Sulaiman, P. Kaelo, Ruzelan Khalid, Mohd. Kamal Mohd. Nawawi:
A descent generalized RMIL spectral gradient algorithm for optimization problems.
Volume 34, Number 3, 2024
- Dexian Xia, Xingjian Fu:
Observer-based sliding-mode fault-tolerant consistent control for hybrid event-triggered multi-agent systems. - Lakkakula Kavya, Karuna Yepuganti, Saladi Saritha, Allam Jaya Prakash, Kiran Kumar Patro, Suraj Prakash Sahoo, Ryszard Tadeusiewicz, Pawel Plawiak:
A review of shockable arrhythmia detection of ECG signals using machine and deep learning techniques. - Guan Yang, Ji Cheng, Xiaoming Liu, Ziming Zhang, Chen Wang:
DCF-VQA: Counterfactual structure based on multi-feature enhancement. - Marcin Witczak, Marcin Pazera, Pawel Majdzik, Ryszard Matysiak:
Development of a guaranteed minimum detectable sensor fault diagnosis scheme. - Piotr Kulczycki, Krystian Franus, Malgorzata Charytanowicz:
A quality index for detection of atypical elements (outliers). - Katarzyna Adamiak, Tymoteusz Zwierzchowski:
Multiple-warehouse sliding mode control with a predefined demand trajectory profile. - Aicha Znidi, Ahmed Saïd Nouri:
Decentralized sliding mode control using an event-triggered mechanism for discrete interconnected Hammerstein systems. - Justyna Patalas-Maliszewska, Remigiusz Wisniewski, Mengchu Zhou, Marcin Topczak, Marcin Wojnakowski:
Applying additive manufacturing technologies to a supply chain: A Petri net-based decision model. - Damian Huderek, Szymon Szczesny, Pawel Pietrzak, Raul Rato, Lukasz Przyborowski:
A spiking neural network based on thalamo-cortical neurons for self-learning agent applications. - Yaguan Qian, Liangjian Zhang, Yuqi Wang, Boyuan Ji, Tengteng Yao, Bin Wang:
Developing Hessian-free second-order adversarial examples for adversarial training. - Tadeusz Kaczorek:
Transformations of linear standard systems to positive asymptotically stable linear ones. - Marek S. Tatara, Zdzislaw Kowalczuk:
Approximate and analytic flow models for leak detection and identification.
Volume 34, Number 4, 2024
- Wajahat Akbar, Abdullah Soomro, Altaf Hussain, Tariq Hussain, Farman Ali, Muhammad Inam Ul Haq, Razaz Waheeb Attar, Ahmed Alhomoud, Ahmad Ali AlZubi, Reem Alsagri:
Pneumonia detection: A comprehensive study of diverse neural network architectures using chest X-rays. - R. Geethanjali, A. Valarmathi:
A deep learning based hybrid model for maternal health risk detection and multifaceted emotion analysis in social networks. - Anandkumar Ramakrishnan, Rajakumar Ramalingam, Padmanaban Ramalingam, Vinayakumar Ravi, Tahani Jaser Alahmadi, Siti Sarah Maidin:
A novel chaotic binary butterfly optimization algorithm based feature selection model for classification of autism spectrum disorder. - Agne Paulauskaite-Taraseviciene, Kristina Sutiene, Nojus Dimsa, Skaidra Valiukeviciene:
Enhancing multi-class prediction of skin lesions with feature importance assessment. - Michal Wieczorek, Natalia Wojtas, Roman Witula, Aleksandra Krawczyk, Karol Rycerz:
A custom deep learning architecture with image augmentation for intelligent gastrointestinal tract tissue classification. - Weimin Zhang, Luyao Zhou, Min Shao, Cui Wang, Yu Wang:
Application of textual representation methods for clinical numerical data in early sepsis diagnosis. - Muhammad Ahsan, Robertas Damasevicius, Sarmad Shahzad:
Optimizing infectious disease diagnostics through AI-driven hybrid decision making structures based on image analysis. - Muhammad Awais, Tallha Akram, Areej Alasiry, Mehrez Marzougui, Jongwoon Park, Byoungchol Chang:
An expert system for leukocyte classification using probabilistic deep feature optimization via distribution estimation. - Sidra Abbas, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Lucia Vilcekova:
Autism spectrum disorder detection in toddlers and adults using deep learning. - Valluri Sri Sravya, Parvathaneni Naga Srinivasu, Jana Shafi, Waldemar Holubowski, Adam Zielonka:
Advanced diabetic retinopathy detection with the R-CNN: A unified visual health solution.
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