A State-of-the-Art Survey on Advanced Electromagnetic Design: A Machine-Learning Perspective by Masoud Salmani Arani, Reza Shahidi, Lihong Zhang

“…In this study, existing methods in the literature are reviewed from four viewpoints: structural view, algorithm view, component view, and application view. …”
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A compact dual-grating wavemeter using signal processing by Yiming Wang, Yi Ma, Yu Huang, Zhanfeng Li, Xiaohu Yang

“…By applying the Multiple Signal Classification (MUSIC) algorithm to process the sampled Talbot patterns and reconstruct the spectrum, we have demonstrated through simulations the capability to enhance spectral resolution. …”
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Model Reference Adaptive Control of SPS-Based Dual Active Bridge Converter with Constant Power Loading by Effah Emmanuel K., Anto Emmanuel K., Okyere Philip Y., Effah Francis B.

“…The non-linear control algorithm, developed based on the reduced order model of the converter, is subjected to a thorough stability and convergence analysis. …”
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Collaborative filtering based on nonnegative/binary matrix factorization by Yukino Terui, Yuka Inoue, Yohei Hamakawa, Kosuke Tatsumura, Kazue Kudo, Kazue Kudo

“…Nonnegative/binary matrix factorization (NBMF), which is an extension of NMF, approximates a nonnegative matrix as the product of nonnegative and binary matrices. While previous studies have applied NBMF primarily to dense data such as images, this paper proposes a modified NBMF algorithm tailored for collaborative filtering with sparse data. …”
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Deep Learning Based Channel Estimation for UAVs: A Modified U-Net Approach by GUPTA, C., YADAV, S. S.

“…Orthogonal frequency division multiplexing (OFDM) enables higher data rate transmission with improved bandwidth efficiency, while minimizing channel effects on the received signal and enhancing bit error rate (BER) performance. …”
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Research on Near-Infrared Non-Invasive Blood Glucose Detection Technology by Wang Jinshuo

“…In response to the complex and easily interfered characteristics of near-infrared spectral signals, an innovative BP neural network algorithm is introduced to construct a prediction model. …”
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Development of an efficient mixed mode heart disease detection model using machine learning and deep learning techniques by Reddy C. Ravi Shankar, A Niranjan, Kumari P.V. Gopi, Rajendra Babui Y.

“…The findings suggest that this mixed mode method attain accuracy of 96% while other techniques taken for comparison purpose limit their accuracies to a maximum 89%.…”
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Classical Simulability of Quantum Circuits with Shallow Magic Depth by Yifan Zhang, Yuxuan Zhang

“…Our research provides new techniques to simulate highly magical circuits while shedding light on their complexity and their significant dependence on the magic depth.…”
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Gaussian Pulse-Based Two-Threshold Parallel Scaling Tone Reservation for PAPR Reduction of OFDM Signals by Lei Guan, Anding Zhu

“…In this paper, we propose an efficient approach, called two-threshold parallel scaling, for implementing a previously proposed Gaussian pulse-based Tone Reservation algorithm. Compared to conventional approaches, this technique significantly reduces the hardware implementation complexity and cost, while also reducing signal processing time delay by using just two iterations. …”
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Notes on Recent Achievements in Proving Stability using KeYmaeraX by Thomas Baar, Horst Schulte

“…A closed-loop control system consists of a plant and a controller. While the plant is basically an aggregation of continuous variables whose values change over time accordingly to physical laws, the controller can be seen as an algorithm formulated in a classical programming language. …”
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Fuzzy Logic Unmanned Air Vehicle Motion Planning by Chelsea Sabo, Kelly Cohen

“…With an appropriate dynamic motion planning algorithm, UAVs would be able to maneuver in any unknown environment towards a target in real time. …”
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LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

“…These results highlight the superior detection accuracy of the proposed network while maintaining computational efficiency.…”
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Field Evaluation of an Autonomous Mobile Robot for Navigation and Mapping in Forest by Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, Alessandro Gasparetto

“…Field experiments conducted in a wooded area in Udine, Italy, using a skid-steered mobile robot, demonstrate the effectiveness of the system in navigating, while avoiding obstacles (even in cases where the Global Navigation Satellite System signal is not reliable). …”
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Reinforcement learning-driven task migration for effective temperature management in 3D noc systems by Jingyi Tang, Jun Hong

“…The rise in temperature will result in diminished dependability and performance decline, thus necessitating the construction of thermal management algorithms for these systems. This study presents an algorithm for this goal that is based on task migration. …”
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A Lightweight AI-Based Approach for Drone Jamming Detection by Sergio Cibecchini, Francesco Chiti, Laura Pierucci

“…Our approach outperforms the standard Isolation Forest model in the detection of both constant and periodic jamming attacks, while still correctly identifying nominal traffic. …”
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Controllable gliders in a nanomagnetic metamaterial by Arthur Penty, Johannes H. Jensen, Ida Breivik, Anders Strømberg, Erik Folven, Gunnar Tufte

“…Employing an evolutionary algorithm, we discover the snake, a glider in pinwheel ASI. …”
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Optimized Offloading in Vehicular Edge Computing: A Game Theoretic Analysis by Abdelkarim Ait Temghart, Mbarek Marwan, Mohamed Baslam

“…Additionally, a best response-learning algorithm is designed based on the computation offloading game model. …”
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Microsimulation framework for urban price-taker markets by Bilal Farooq, Eric J. Miller, Franco Chingcuanco, Martin Giroux-Cook

“…Here, we present a microsimulation framework of a price-taker market that recognizes this generality and develop efficient algorithms for the associated market-clearing problem. …”
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Particle Swarm Optimization on Parallel Computers for Improving the Performance of a Gait Recognition System by Shahla A. Abdulqader, Hasmek A. Krekorian

“…In recent years, the gait recognition (GR) using particle swarm optimization (PSO) algorithm (OSO) has been execute very fast and accurate with single computer, but with the appearance of parallel computing (PC), it was necessary to use this technique to improve the results of GR. …”
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Distribution and classification of macrozoobenthos in Peter the Great Bay of Japan Sea in relation to contamination of bottom sediments by A. V. Moshchenko, T. A. Belan, B. M. Borisov

“…By these parameters, using the fuzzy sets algorithm, the taxa are classified to five groups: i) extremely sensitive; ii) highly sensitive; iii) moderately tolerant; iv) tolerant; and v) extremely tolerant to pollution (ES, S, MT, T and ET, respectively). …”
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