Mantis Religiosa in America by Samuel H. Scudder

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Multi-objective optimization of custom implant abutment design for enhanced bone remodeling in single-crown implants using 3D finite element analysis by Pongsakorn Poovarodom, Chaiy Rungsiyakull, Jarupol Suriyawanakul, Qing Li, Keiichi Sasaki, Nobuhiro Yoda, Pimduen Rungsiyakull

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Multi-criteria path rationalization in the conditions of multi-type passenger transport systems by V. V. Egorov

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Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning by Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu

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Multi-period and multi-objective stock portfolio modeling considering cone constraints by Masoomeh Zeinalnezhad, Zohreh Ebrahimi, Towhid Pourrostam

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Multi scale multi attention network for blood vessel segmentation in fundus images by Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB). …”
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Multi‐precision binary multiplier architecture for multi‐precision floating‐point multiplication by Geetam Singh Tomar, Marcus Llyode George, Abhineet Singh Tomar

“…A mantissa similarity investigator (MSI)–interfaced multi‐precision binary multiplier architecture is developed and can be used in data‐intensive applications that require variable precision, high throughput and low delay. …”
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Multi-Objective Dynamic Path Planning with Multi-Agent Deep Reinforcement Learning by Mengxue Tao, Qiang Li, Junxi Yu

Subjects: “…multi-agent reinforcement learning…”
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Throughput optimization of multi-hop and multi-path cooperation in WPSNs with hardware noises by Lina Yuan, Huajun Chen, Jing Gong

“…This paper proposes a novel multi-path and multi-hop wireless powered sensor network in case of hardware impairment, constituting an energy node, one source node, single sink node, and a series of distributed relay sensor nodes, where the energy node transmits wireless energy to all terminals in the first stage, and the relay sensor nodes relay the information of the source node to the sink node in the second stage. …”
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Classification on Grade, Price, and Region with Multi-Label and Multi-Target Methods in Wineinformatics by James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen

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Multi-objective design of multi-material truss lattices utilizing graph neural networks by Ramón Frey, Michael R. Tucker, Mohamadreza Afrasiabi, Markus Bambach

“…Beyond geometric flexibility, multi-material AM further expands design possibilities by combining materials with distinct characteristics. …”
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A Multi-Objective Path-Planning Approach for Multi-Scenario Urban Mobility Needs by Zhaohui Wang, Meng Zhang, Shanqing Liang, Shuang Yu, Chengchun Zhang, Sheng Du

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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…Implementation The codes are available at https://github.com/DMnBI/MultiChem .…”
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Designing a multi-period multi-stage supply chain network under uncertainty by Maryam Hemmati, Masoud Rabbani, Mohammad Reza Mehregan

“…To optimize this supply chain, a multi-objective Mixed Integer Linear Programming (MILP) model has been developed to formulate the problem. …”
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Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

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Multimodal sentiment analysis based on multi-layer feature fusion and multi-task learning by Yujian Cai, Xingguang Li, Yingyu Zhang, Jinsong Li, Fazheng Zhu, Lin Rao

“…The main challenges faced by current multi-modal sentiment analysis include: how the model extracts emotional information in a single modality and realizes the complementary transmission of multimodal information; how to output relatively stable predictions even when the sentiment embodied in a single modality is inconsistent with the multi-modal label; how can the model ensure high accuracy when a single modal information is incomplete or the feature extraction performance not good. …”
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Multi-Softcore Architecture on FPGA by Mouna Baklouti, Mohamed Abid

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Butia odorata: Pindo Palm by Timothy K. Broschat

“…Broschat and published by the UF Department of Environmental Horticulture, April 2015. ENH264/ST105: Butia odorata: Pindo Palm (ufl.edu) …”
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