Persevering Routing Technique Based on Event Occurrence Patterns for Wireless Sensor Networks by Majid Rafigh, Maghsoud Abbaspour

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Quantifying the impact of early-stage contact tracing on controlling Ebola diffusion by Narges Montazeri Shahtori, Tanvir Ferdousi, Caterina Scoglio, Faryad Darabi Sahneh

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Survey on terminology extraction from texts by Kang Xu, Yifan Feng, Qiandi Li, Zhenjiang Dong, Jianxiang Wei

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Multiple-Devices-Process Integrated Scheduling Algorithm with Time-Selective Strategy for Process Sequence by Xiaohuan Zhang, Dan Zhang, Zhen Wang, Yu Xin

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Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning by Fanyu Zeng, Xi Cai, Shuzhi Sam Ge

“…Our algorithm first utilizes the attention proposal network (APN) to generate attention regions and applies AlexNet to extract the features of attention patches to further reduce computation. Finally, we train our method with deep reinforcement learning to learn the optimal detection policy. …”
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Hyperspectral Image Classification Based on Attentional Residual Networks by Ning Wang, Xin Pan, Xiaoling Luo, Xiaojing Gao

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Automatic Classification of Normal and Cancer Lung CT Images Using Multiscale AM-FM Features by Eman Magdy, Nourhan Zayed, Mahmoud Fakhr

“…Computer-aided diagnostic (CAD) systems provide fast and reliable diagnosis for medical images. …”
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Uncertainty-based quantization method for stable training of binary neural networks by A.V. Trusov, D.N. Putintsev, E.E. Limonova

“…Binary neural networks (BNNs) have gained attention due to their computational efficiency. However, training BNNs has proven to be challenging. …”
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A Compact Representation for 3D Animation Using Octrees and Affine Transformations by Youyou Wang, Guilherme N. DeSouza

“…For example, it can be carried out on a frame-to-frame basis, rather than over long sequences, but it is also much easier to compute. In fact, we demonstrate a computation complexity of Θ(𝑛2) for our method, while some of these methods can reach complexities of 𝑂(𝑛3) and worse. …”
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Passive highly dispersive matching network enabling broadband electromagnetic absorption by Pardha S. Nayani, Morteza Moradi, Pooria Salami, Younes Ra’di

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A New Mathematical Modeling with Optimal Control Strategy for the Dynamics of Population of Diabetics and Its Complications with Effect of Behavioral Factors by Abdelfatah Kouidere, Abderrahim Labzai, Hanane Ferjouchia, Omar Balatif, Mostafa Rachik

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Ego-Motion Estimation for Autonomous Vehicles Based on Genetic Algorithms and CUDA Parallel Processing by Abiel Aguilar-González, Alejandro Medina Santiago

“…While traditional methods often rely on direct pose estimation or AI-based approaches, these can be computationally intensive, especially for small, incremental movements typically observed between consecutive frames. …”
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A Novel Energy-Efficient -Coverage Algorithm Based on Probability Driven Mechanism of Wireless Sensor Networks by Chuanfeng Li, Zeyu Sun, Huihui Wang, Houbing Song

“…Through analyzing the model, the coverage expectations for nodes in the monitored area and the minimum number of nodes required for full coverage are computed. As for power consumption, the paper presents an energy shifting function between working nodes and neighboring nodes, by use of which the scheduling for low-energy node is completed, balancing the energy consumption over the entire network and optimizing network resources. …”
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Mobile Robot Path Planning Based on Improved Particle Swarm Optimization and Improved Dynamic Window Approach by Zhenjian Yang, Ning Li, Yunjie Zhang, Jin Li

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A New Adaptive Hungarian Mating Scheme in Genetic Algorithms by Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung-Ro Moon

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Deep Grassmannian multiview subspace clustering with contrastive learning by Rui Wang, Haiqiang Li, Chen Hu, Xiao-Jun Wu, Yingfang Bao

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A novel group-based framework for nature-inspired optimization algorithms with adaptive movement behavior by Adam Robson, Kamlesh Mistry, Wai-Lok Woo

“…The proposed Group-Based (GB) and Cross Group-Based (XGB) framework implements a strategy which modifies the attraction and movement behaviors of base nature-inspired optimization algorithms and a mechanism that creates a continuing variance within population groupings, while attempting to maintain levels of computational simplicity that have helped nature-inspired optimization algorithms gain notoriety within the field of feature selection. …”
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Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance by H. Trask Crane, John A. Berkebile, Samer Mabrouk, Nicholas Riccardelli, Omer T. Inan

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Double Attention: An Optimization Method for the Self-Attention Mechanism Based on Human Attention by Zeyu Zhang, Bin Li, Chenyang Yan, Kengo Furuichi, Yuki Todo

“…Furthermore, the method was applied to patient kidney datasets collected from hospitals for diabetes diagnosis, where they achieved high accuracy with significantly reduced computational demands. This advancement showcases the potential of our methods in the field of biomimetics, aligning well with the goals of developing innovative bioinspired diagnostic tools.…”
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An Improved Multicell MMSE Channel Estimation in a Massive MIMO System by Ke Li, Xiaoqin Song, M. Omair Ahmad, M. N. S. Swamy

“…Conventional channel estimation schemes cannot mitigate this problem effectively, and the computational complexity is increasingly becoming larger in views of the large number of antennas employed in a massive MIMO system. …”
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