Penerapan Algoritma Fuzzy Mamdani untuk Memberikan Saran yang Optimal dalam Pengambilan Keputusan pada Permainan KArtu Monster by Muhammad Rizky Perdana, Andika Sundawaijaya, Ahlijati Nuraminah

“…Algorithm that is able to map and determine decisions that can become a suggestion system is fuzzy with Mamdani inference. …”
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Portable Impedance Analyzer for FET-Based Biosensors with Embedded Analysis of Randles Circuits’ Spectra by Norman Pfeiffer, Martin Bach, Alice Steiner, Anna-Elisabeth Gerhardt, Joan Bausells, Abdelhamid Errachid, Albert Heuberger

“…The introduced algorithm was evaluated on 100 simulated spectra of Randles circuits. …”
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Approaches to automation of the preanalytical phase of large-scale research in the biobank of the National Medical Research Center for Therapy and Preventive Medicine of the Minist... by M. S. Pokrovskaya, A. L. Borisova, V. A. Kondratskaya, I. A. Efimova, A. I. Ershova, O. M. Drapkina

“…To create and validate an algorithm for automatic aliquoting of serum and plasma samples for biobanking as part of a large-scale study.Material and methods. …”
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Trade-off of cognition and semantic communication for UAV-IRS enhanced intelligent networks by Yuwei Zhang, Pengshan Ren

“…In this system, the cognitive base station transmits semantic symbols to users over available spectrum resources, with system performance closely tied to the quality of semantic information delivery. …”
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DEVELOPMENT OF A VIDEO PROCESSING MODULE FOR THE TASK OF AIR OBJECT RECOGNITION BASED ON THEIR CONTOURS by Valentyn Yesilevskyi, Anton Koliadin, Olena Sereda

“…Conclusions: The implementation of the developed module of segmentation and background subtraction for the system of optical monitoring of the air environment allowed to solve the problem of segmentation of video images for further recognition of aerial objects in the system of optical monitoring of the air environment in automatic mode with a high degree of reliability, thus increasing the operational efficiency of this system. …”
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Evaluation of the clinical effectiveness of diagnosis and monitoring of inflammatory and destructive diseases of the oral mucosa from the standpoint of a patient-guided approach by Yu. A. Makedonova, V. V. Shkarin, S. V. Dyachenko, L. M. Gavrikova, D. Yu. Dyachenko, L. V. Zhuravlev

“…However, despite the high prevalence and the trend towards a constant increase in the number of diseases, there is no single diagnostic algorithm for examining and managing these patients in dental practice. …”
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Robust personalized pricing under uncertainty of purchase probabilities by Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano

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Resilient service function chain initial deployment and dynamic replacement towards 6G networks by Deqiang Zhou, Xinsheng Ji, Wei You, Yu Zhao, Hang Qiu, Mingyan Xu

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Secure Smart Contract Based on Blockchain to Prevent the Non-Repudiation Phenomenon by Noor Sabah Mohammed, Omar Abdulrahman Dawood, Ali Makki Sagheer, Ahmed Adil Nafea

“…Experiments showed us the complexity of time and cost when using the (ECC) algorithm and using (RSA) algorithm depending on the size and length of the key. …”
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Stochastic Power Control Strategy for Hybrid Electric Propulsion Ships Using Markov Chain-Based Operational Data Augmentation by Su Bin Choi, Soon Ho Hong, Sun Je Kim

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Experimental Evaluation of Enhanced Antenna Switching for CFO Mitigation in DoA Estimation by Ales Simoncic, Ke Guan, Grega Morano, Ales Svigelj, Andrej Hrovat, Teodora Kocevska, Tomaz Javornik

“…Direction-of-arrival (DoA) estimation in the Internet of Things (IoT) and embedded devices is typically performed using single-RF chain systems and antenna switching using time-division multiplexing. …”
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A Real-time Train Perception Method for Obstacle Intrusion Based on Front View Projection by HE Qian, JIANG Guotao, DONG Wenbo, PI Zhichao, YANG Hailang, CHEN Meilin

“…Data collection and experimental verification were carried out using a train equipped with sensors and a perception system. The experimental results show the practicality of the proposed method on low-power embedded devices, achieving an average algorithm time of 16.2 ms. …”
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Etude Comparative Entre Les Librairies De Reconnaissance Vocale by Hamza Frihia, Halima Bahi

“… La disponibilité des outils de reconnaissance de la parole avec leur architecture modulaire et leur open source permet aux chercheurs et programmeurs d’implémenter et tester de nouveaux algorithmes. Ces caractéristiques facilitent le développement de puissants systèmes de reconnaissance automatique de la parole (RAP). …”
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Meta-learning assisted robust control of universal quantum gates with uncertainties by Shihui Zhang, Zibo Miao, Yu Pan, Sibo Tao, Yu Chen

“…However, decoherence and control pulse imperfections pose significant challenges in realizing the theoretical fidelity of quantum gates in practical systems. To address these challenges, we propose the meta-reinforcement learning quantum control algorithm (metaQctrl), which leverages a two-layer learning framework to enhance robustness and fidelity. …”
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Quantum computation via Floquet tailored Rydberg interactions by Jun Wu, Jin-Lei Wu, Fu-Qiang Guo, Bing-Bing Liu, Shi-Lei Su, Xue-Ke Song, Liu Ye, Dong Wang

“…Floquet frequency modulation (FFM), in Rydberg atom systems, provides a unique tool for achieving precise quantum control and uncovering exotic physical phenomena. …”
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An Adaptive Robust Event-Triggered Variational Bayesian Filtering Method with Heavy-Tailed Noise by Di Deng, Peng Yi, Junlin Xiong

“…In the proposed filtering algorithm, the system states and the unknown covariances are adaptively updated by taking advantage of the event-triggered probabilistic information and the transmitted measurement data in the cases of non-transmission and transmission, respectively. …”
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Evaluation of the effectiveness of an intervention strategy in a control simulation experiment through comparison with model predictive control by R. Nagai, Y. Bai, M. Ogura, M. Ogura, S. Kotsuki, S. Kotsuki, N. Wakamiya

“…We specifically develop an MPC algorithm tailored for the Lorenz-63 model, incorporating temporal deep unfolding to address challenges in controlling chaotic systems. …”
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Discrete PID-Type Iterative Learning Control for Mobile Robot by Hongbin Wang, Jian Dong, Yueling Wang

“…The results of simulation reveal that the PID-type ILC holds the features of simplicity, strong robustness, and high repeating precision and can well meet the control requirement of nonlinear discrete system.…”
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Optimization and Coordination of HAFDV PINN Control by Improved PSO by Bin Huang, Nengling Tai, Wentao Huang

“…In this paper, the improved particle swarm optimization (improved PSO) algorithm is proposed to solve the coordinated design problem, and the neural network weights as the particle swarm optimization are adopted to optimize the system parameters. …”
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Efficient numerical analysis of nonlinear liquid dispersion pattern drops using Taylor wavelet collocation by Mahmoud Abd El-Hady, Mohamed El-Gamel, Yasser Kashwaa

“…The differential equation is converted into a system of algebraic equations, solved using the Broyden-Quasi Newton algorithm. …”
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