Results 91 to 100 of about 277,878 (301)

Automated multigravity assist trajectory planning with a modified ant colony algorithm [PDF]

, 2010
The paper presents an approach to transcribe a multigravity assist trajectory design problem into an integrated planning and scheduling problem. A modified Ant Colony Optimization (ACO) algorithm is then used to generate optimal plans corresponding to ...
Vasile, Massimiliano, Ceriotti, Matteo
core   +3 more sources

Deep learning-enabled hybrid systems for accurate recognition of text in seal images

Frontiers in Big Data
Chinese seals are widely used in various fields within Chinese society as a tool for certifying legal documents. However, recognizing text on these seals presents challenges due to background text, high noise levels, and minimalistic image features. This
Keke Zhang, Mingyu Guan, Chao Wu, Yutong Li, Qingguo Lü, Yi Liu, Yi Wang, Wei Wang, Wei Zhang   +8 more
doaj   +1 more source

Prediction of abundance of ants according to climate change scenarios RCP 4.5 and 8.5 in South Korea

Journal of Asia-Pacific Biodiversity, 2015
In order to identify change of ant distribution expected due to climate change in South Korea, data on ants collected from 344 forest sites were used to predict change of abundance of ant species.
Tae-Sung Kwon, Cheol Min Lee
doaj   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

ANT4KIDS: ART, NEUROSCIENCE AND TECHNOLOGY FOR KIDS

IBRO Neuroscience Reports, 2023
María Castelló, Mikaela Pisani, Magela Castro, Carolina Alen, Rocío Lion, Micaela De Mori, Ana González, Bruno Arnuti   +7 more
doaj   +1 more source

Putative Neural Network Within an Olfactory Sensory Unit for Nestmate and Non-nestmate Discrimination in the Japanese Carpenter Ant: The Ultra-structures and Mathematical Simulation

Frontiers in Cellular Neuroscience, 2018
Ants are known to use a colony-specific blend of cuticular hydrocarbons (CHCs) as a pheromone to discriminate between nestmates and non-nestmates and the CHCs were sensed in the basiconic type of antennal sensilla (S. basiconica).
Yusuke Takeichi, Tatsuya Uebi, Naoyuki Miyazaki, Kazuyoshi Murata, Kouji Yasuyama, Kanako Inoue, Toshinobu Suzaki, Hideo Kubo, Naoko Kajimura, Jo Takano, Toshiaki Omori, Ryoichi Yoshimura, Yasuhisa Endo, Masaru K. Hojo, Eichi Takaya, Satoshi Kurihara, Kenta Tatsuta, Koichi Ozaki, Mamiko Ozaki   +18 more
doaj   +1 more source

Ants on the highway

Natural Computing
We perform intensive computations of Generalised Langton's Ants, discovering rules with a big number of highways. We depict the structure of some of them, formally proving that the number of highways which are possible for a given rule does not need to be bounded, moreover it can be infinite. The frequency of appearing of these highways is very unequal
Gajardo, Anahí, Lutfalla, Victor, Rao, Michaël   +2 more
openaire   +4 more sources

Intelligence of Ants [PDF]

Science, 1889
n ...
openaire   +4 more sources

Spatial Transcriptomics Reveals a T Cell‐Mediated Microglial Activation Axis of Immune Checkpoint Inhibition‐Related Adverse Events in the Brain

Advanced Science, EarlyView.
Immune checkpoint inhibition (ICI) reshapes the hippocampal neuroimmune niche. Spatial transcriptomic profiling and human brain histological analyses identify neuroinflammation and altered neuronal and glial programs. Notably, T cell depletion prevents ICI‐driven microglial activation, establishing the T cell–microglia crosstalk axis as a driving ...
Devyani Swami, Sanad M. El‐Khatib, Suhas Sureshchandra, Elise Nguyen, Janaki Manoja Vinnakota, Robert Zeiser, Shivashankar Othy, Munjal M. Acharya   +7 more
wiley   +1 more source

Discovering Regression Rules with Ant Colony Optimization [PDF]

, 2015
The majority of Ant Colony Optimization (ACO) algorithms for data mining have dealt with classification or clustering problems. Regression remains an unexplored research area to the best of our knowledge.
Brookhouse, James, Otero, Fernando E.B., James Brookhouse, Fernando E.B. Otero   +3 more
core   +1 more source