Separable Nonlinear Least-Squares Parameter Estimation for Complex Dynamic Systems by Itai Dattner, Harold Ship, Eberhard O. Voit

“…Fortunately, many biological systems have embedded linear mathematical features, which may be exploited, thereby improving fits and leading to better convergence of optimization algorithms. In this paper, we explore options of inference for dynamic models using a novel method of separable nonlinear least-squares optimization and compare its performance to the traditional nonlinear least-squares method. …”
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High Capacity Reversible Watermarking for Audio by Histogram Shifting and Predicted Error Expansion by Fei Wang, Zhaoxin Xie, Zuo Chen

“…First, we use differential evolution algorithm to optimize prediction coefficients and then apply prediction error expansion to output stego data. …”
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A Sliding Mode Approach to Vector Field Path Following for a Fixed-Wing UAV by Luca Pugi, Lorenzo Franchi, Samuele Favilli, Giuseppe Mattei

“…The proposed guidance algorithm is based on a reference vector field as desired, with 16 courses for the UAV to follow. …”
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Enhancing Artificial Intelligence on a Real Mobile Game by Fabio Aiolli, Claudio E. Palazzi

“…One of the aspects crucial to the commercial success of a game is ensuring an appropriately challenging artificial intelligence (AI) algorithm against which to play. However, creating this component is particularly complex as classic search AI algorithms cannot be employed by limited devices such as mobile phones or, even on more powerful computers, when considering imperfect information games (i.e., games in which participants do not a complete knowledge of the game state at any moment). …”
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Possibility of critical practice in computational design: applications on boundaries between public and private space by Laurence Kimmel

“…The way parameters and algorithms could be set to function in this model is utopian, although, according to theories of “emergence”, theoretically feasible in the future. …”
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Lightweight Data Compression in Wireless Sensor Networks Using Huffman Coding by Henry Ponti Medeiros, Marcos Costa Maciel, Richard Demo Souza, Marcelo Eduardo Pellenz

“…Instead of attempting to devise novel ad hoc algorithms, we show that, given general knowledge of the parameters that must be monitored, it is possible to efficiently employ conventional Huffman coding to represent the same parameter when measured at different locations and time periods. …”
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A Double-Layer Optimization Method for Cascading Failure Prevention Considering Transient Stability by Huiqiong Deng, Zhiwei Liang, Hui Wu, Junfu Shen

“…This paper has used MATLAB and PSASP to perform simulation analysis using the IEEE39 node system as a test example to verify the effectiveness and superiority of the proposed model and algorithm.…”
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Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach by Rui Ma, Li Ding, Kailei Liu, Hongtao Wu

“…With the flight experiment data collection and preprocessing, a hybrid identified algorithm combining the improved artificial bee colony algorithm and prediction error method is proposed to obtain the unknown dynamical parameters of the linear model. …”
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Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management by Álvaro Bueno-Ferrer, Jaime De Pablo Valenciano, Jerónimo De Burgos Jiménez

“…Additionally, genetic algorithms stand out as particularly important. Conclusions: This research provides a comprehensive and detailed view of the impact of metaheuristics on the transportation sector, highlighting their current and future trends (such as artificial intelligence) and their economic relevance.…”
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Hysteresis Modeling of Magnetic Shape Memory Alloy Actuator Based on Krasnosel'skii-Pokrovskii Model by Miaolei Zhou, Shoubin Wang, Wei Gao

“…To identify the weighting parameters of the KP operators, an improved gradient correction algorithm and a variable step-size recursive least square estimation algorithm are proposed in this paper. …”
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After visibility: Data as a factor of production in Douyin e-commerce by Shuaishuai Wang

“…This involves measurements employing surveillance technologies that span image and speech recognition, keywords, performance metrics, and pricing algorithms. The article argues that Douyin e-commerce cannot be fully explained by the current visibility research paradigm centered on metrics such as likes, shares, and comments, which are considered indications of interests and preferences. …”
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Connections between Robust and Bilevel Optimization by Goerigk, Marc, Kurtz, Jannis, Schmidt, Martin, Thürauf, Johannes

“…We hope that these results pave the way for a stronger connection between the two fields—in particular to use both theory and algorithms from one field in the other and vice versa.…”
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Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping by Alexander Gresch, Martin Kliesch

“…For instance, the measurement effort poses a critical bottleneck for variational quantum algorithms. We aim to find the optimal strategy with single-qubit measurements that yields the highest provable accuracy given a total measurement budget. …”
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Path Planning Method for UUV Homing and Docking in Movement Disorders Environment by Zheping Yan, Chao Deng, Dongnan Chi, Tao Chen, Shuping Hou

“…It has turned out that, for unimodal functions, NPSO performed better searching accuracy and stability than other algorithms, and, for multimodal functions, the performance of NPSO is similar to TVAC. …”
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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“…Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning. Complex neural networks now lie at the core of ubiquitous AI systems in healthcare. …”
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Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network by Fei Zhang, Yuntao Zhao, Jian Shao

“…When its original function is transferred with a transfer function, the uniform differential evolution algorithms can quickly solve complex optimization problems. …”
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Choosing Improved Initial Values for Polynomial Zerofinding in Extended Newbery Method to Obtain Convergence by Saeid Saidanlu, Nor’aini Aris, Ali Abd Rahman

“…In all polynomial zerofinding algorithms, a good convergence requires a very good initial approximation of the exact roots. …”
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Modeling Multilevel Supplier Selection Problem Based on Weighted-Directed Network and Its Solution by Chia-Te Wei, Hong Zuo, Chang-Bing Jiang, Shu-fang Li

“…Firstly, this paper discusses and forms the evaluation system to estimate the supplier from the two indicators of risk and greenness and then applies the value as the weight of the network between two nodes to build a weighted-directed supplier network; secondly, the study establishes the optimal combination model of supplier selection based on the global network perspective and solves the model by the dynamic programming-tabu search algorithm and the improved ant colony algorithm, respectively; finally, different scale simulation examples are given to testify the efficiency of the two algorithms. …”
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Versatile LCL Inverter Model for Controlled Inverter Operation in Transient Grid Calculation Using the Extended Node Method by Daniela Vorwerk, Detlef Schulz

“…Furthermore, an approach is developed for how inverter control algorithms are interconnected with the method’s results in the time domain. …”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…Experiments show MoNetViT outperforms other semantic segmentation algorithms in efficiency and effectiveness, particularly in detecting Aruco markers, making it a promising tool to improve navigation aids for the visually impaired.…”
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