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Cell‐Based Biohybrid Micro/Nanorobots for Biotherapy
Advanced Robotics Research, EarlyView.This review systematically evaluates cell‐based biohybrid micro/nanorobots (CB‐BMRs), highlighting their cell selection criteria, fabrication strategies, and diverse actuation modes. Furthermore, it surveys the promising therapeutic applications of CB‐BMRs in targeted cancer, thrombosis, and inflammation treatments, while comprehensively discussing ...
Lin Wang +11 more
wiley +1 more source
Toward Mechanical Intelligence in Robotics
Advanced Robotics Research, EarlyView.Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang +5 more
wiley +1 more source
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Computers & Operations Research, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kweku-Muata Osei-Bryson, Tasha R. Inniss
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kweku-Muata Osei-Bryson, Tasha R. Inniss
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IEEE Transactions on Computers, 1997
Each coordinate rotation digital computer iteration selects the rotation direction by analyzing the results of the previous iteration. In this paper, we introduce two arctangent radices and show that about 2/3 of the rotation directions can be derived in parallel without any error. Some architectures exploiting these strategies are proposed.
S. Wang, V. Piuri, E. E. Swartzlander
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Each coordinate rotation digital computer iteration selects the rotation direction by analyzing the results of the previous iteration. In this paper, we introduce two arctangent radices and show that about 2/3 of the rotation directions can be derived in parallel without any error. Some architectures exploiting these strategies are proposed.
S. Wang, V. Piuri, E. E. Swartzlander
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2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
In view of the fact that DBSCAN clustering algorithm can identify the data with arbitrary shape and one-pass clustering algorithm has the quick and efficient feature, this paper proposes a two-stage hybrid clustering algorithm. DBSCAN is improved to process the data with categorical attributes.
Sheng-Yi Jiang, Xia Li
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In view of the fact that DBSCAN clustering algorithm can identify the data with arbitrary shape and one-pass clustering algorithm has the quick and efficient feature, this paper proposes a two-stage hybrid clustering algorithm. DBSCAN is improved to process the data with categorical attributes.
Sheng-Yi Jiang, Xia Li
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A Hybrid Macroevolutionary Algorithm
2005Macroevolutionary algorithm (MA) is a new approach to optimization problems based on extinction patterns in macroevolution. It is different from the traditional population-level evolutionary algorithms such as genetic algorithms. In MAs, evolves at the level of higher taxa is used as the underlying metaphor.
Jihui Zhang 0003, Junqin Xu
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SIAM Journal on Scientific Computing, 1996
A hybrid approach is presented for computing the dynamics of compressible multicomponent fluids, which is based on augmenting the Euler multicomponent equations by the pressure evolution equation. The extended system offers two choices for updating the pressure field: that is a conservative update, making use of the equation of state applied throughout
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A hybrid approach is presented for computing the dynamics of compressible multicomponent fluids, which is based on augmenting the Euler multicomponent equations by the pressure evolution equation. The extended system offers two choices for updating the pressure field: that is a conservative update, making use of the equation of state applied throughout
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2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
The paper presents a new graph based clustering algorithm. Traditional clustering algorithms have the drawback that it takes large number of iterations in order to come up with the desired number of clusters. The advantage of this approach is that the size of the dataset is reduced using graph based clustering approach and the required number of ...
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The paper presents a new graph based clustering algorithm. Traditional clustering algorithms have the drawback that it takes large number of iterations in order to come up with the desired number of clusters. The advantage of this approach is that the size of the dataset is reduced using graph based clustering approach and the required number of ...
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DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining
2010Direct Hashing and Pruning algorithm of ARM performs well at initial passes by smaller candidate 2-itemset generation and turns out to be very powerful to facilitate initial itemset generation. Efficient pruning technique of AprioriTid algorithm is highly effective for frequent itemset generation in the later passes.
Shilpa Sonawani, Amrita Mishra
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Hybrid coevolutionary algorithms vs. SVM algorithms
Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2007As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational technique is characterized as a soft computing learning method with its roots in the theory of evolution.
Rui Li 0083 +2 more
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