Research on Path Planning Multiple Mobile Robots Based on the LAPGWO Algorithm by Wan Xu, Dongting Liu, Ao Nie, Junqi Wang, Shijie Liu

“…Secondly, the potential field function of APF is introduced to guide the individual grey wolves to move towards the low potential energy area. By adjusting the angle between the resultant force direction of the possible field and the movement direction, the global search ability is enhanced, and the algorithm is prevented from falling into the local optimum. …”
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Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning by Yong-Joon Song, Dong Jin Ji, Hyein Seo, Gyu-Bum Han, Dong-Ho Cho

“…<italic>Results:</italic> DQNalign shows superiority in the dissimilar sequence pairs that have low identity values. And theoretically, we confirm that DQNalign has a low dimension for the sequence length in view of the complexity. …”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

“…Here we document the fact that a commonly used multiple-flow-direction algorithm for calculating contributing area, i.e., <span class="inline-formula"><i>D</i>∞</span> of Tarboton (1997), is sufficiently biased along the cardinal and ordinal directions that it is unsuitable for some standard applications of flow-routing algorithms. …”
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Research on path planning of mobile robots based on improved A* algorithm by Xing Fu, Zucheng Huang, Gongxue Zhang, Weijun Wang, Jian Wang

“…To address the issues of low search efficiency, excessive node expansion, and the presence of redundant nodes in the traditional A* algorithm, this article proposes an improved A* algorithm for mobile robot path planning. …”
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Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps by Yuandong Chen, Jinhao Pang, Yuchen Gou, Zhiming Lin, Shaofeng Zheng, Dewang Chen

“…The traditional A* algorithm faces the challenges of low search efficiency and large node extension range in the field of path planning. …”
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A Systematic Review and Evaluation of Sustainable AI Algorithms and Techniques in Healthcare by Yehia Ibrahim Alzoubi, Ahmet E. Topcu, Ersin Elbasi

“…AI algorithms and tools are categorized into three groups: explicit AI algorithms for sustainability for energy efficiency (e.g., Federated Learning, Hybrid Quantum-Classical Optimization, Modified Lempel-Ziv-Welch (mLZW)), traditional AI algorithms for sustainable healthcare (e.g., Bidirectional Long Short-Term Memory (Bi-LSTM), Backpropagation Neural Networks (BPNNs), Convolutional Neural Networks (CNNs)), and sustainable AI techniques (e.g., Adaptive Sampling, AutoML for Model Compression (AMC)) that support low-power computing (e.g., edge computing, neuromorphic hardware, adaptive sampling). …”
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Neural network and Markov based combination prediction algorithm of video popularity by Xuesen MA, Shuyou CHEN, Xiangdong XU, Zhaokun CHU

“…Caching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of the shortcomings of traditional prediction algorithms such as poor nonlinear mapping ability, low prediction accuracy and weak adaptability, a video popularity prediction algorithm based on a neural network and Markov combined model (Mar-BiLSTM) was proposed.Information dependencies were preserved by constructing bidirectional memory network model (bi-directional long short-term memory, BiLSTM), the prediction accuracy of the model was further improved by using Markov properties while avoiding the increase of the complexity of the model caused by the introduction of external variables.Experimental results show that compared with traditional time series and classic neural network algorithms, the proposed algorithm improves predicting accuracy, effectiveness and reduces the amount of calculation.…”
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Enhanced secure and efficient routing algorithm for optimal multimedia data transmission by Bhalia Mayur Natwarlal, Bavarva Arjav Ambaram

“…Conventional methods struggle to maintain low latency and high data integrity under increasing network loads, leading to performance degradation. …”
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Research on Interference Resource Optimization Based on Improved Whale Optimization Algorithm by Xuyi Chen, Mingxi Ma, Chengkui Liu, Haifeng Xie, Shaoqi Wang

“…Then, in the solution process, to address the issues of the Whale Optimization Algorithm (WOA) easily falling into local optima and low convergence accuracy, the BIO-WOA (Bernoulli Chaotic mapping In-nonlinear Factors and Opposition-based Learning Improved Whale Optimization Algorithm, BIO-WOA) is proposed. …”
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Design and Implementation of English Intelligent Communication Platform Based on Similarity Algorithm by Yujie Chai

“…In the task of text similarity computation, it achieves better results in three evaluation metrics: accuracy, recall, and F1 value. The algorithm also improves the computational efficiency of the model to a certain extent by removing feature words with low feature contribution. …”
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Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm by Xuefeng Zhao, Qiantai Yang, Gangwen Yan, Xiongtao Fan, Yinghui Yang, Huizhong Zhang, Song Chen

“…This paper discusses the advantages and limitations of the proposed method and suggests future directions for further optimizing the algorithm and improving module partitioning. …”
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3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion by Bingzhe Wei, Xiangchu Feng, Weiwei Wang

“…Therefore, we propose a novel multi-focus image fusion algorithm based on multi-scale and multi-directional dictionaries. …”
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Convolutional neural network-based low light image enhancement method by J. Guo

“…The stability of local binary features under variations in illumination is the study's initial method of providing directional advice for the enhancement algorithm. Second, the addition of a channel attentiveness mechanism improves the network's capacity to acquire low-light image features. …”
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Adaptive and Asymmetrical Blending for Bi-Directional Inter Prediction of Various Visual Contents in Video Coding by Minhun Lee, Donggyu Sim

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A two level multi-antenna blind spectrum detection about spatial spectrum by Zhiqiang BAO, Yanrui CUI, Xiao XU

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Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

“…To address this, a Reliability-Based Compact Direct Decoder (RCODD) algorithm has been proposed as a non-iterative alternative that leverages encoder state information and demodulator reliability metrics for efficient decoding. …”
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Experimental demonstration of bi-directional laser ranging and data communication for space gravitational wave detection by Peiquan Chen, Yibin Zhang, Rujie Deng, Heshan Liu, Ziren Luo

“…In this study, we designed ranging parameters and refined a loop filtering algorithm to solve the problem of parameter compatibility with the phasemeter and low ranging accuracy under bidirectional communication conditions. …”
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The perception of naturalness correlates with low-level visual features of environmental scenes. by Marc G Berman, Michael C Hout, Omid Kardan, MaryCarol R Hunter, Grigori Yourganov, John M Henderson, Taylor Hanayik, Hossein Karimi, John Jonides

“…We then trained a machine-learning algorithm to predict whether a scene was perceived as being natural or not based on these low-level visual features and we could do so with 81% accuracy. …”
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition by Jeong-Il Byeon, Wookyung Lee, Jihoon Choi

“…For the CS-MLRSD scheme, an iterative thresholding algorithm is derived to separately reconstruct the low-rank and sparse components. …”
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Neo-antigen specific cancer vaccines for acute lymphoblastic leukemia—challenges, opportunities, and future directions by Victoria Bloch Blytt Sandstad, Signe Modvig, Morten Orebo Holmström

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