Results 41 to 50 of about 3,186 (177)

Maze solvers demystified and some other thoughts

, 2017
There is a growing interest towards implementation of maze solving in spatially-extended physical, chemical and living systems. Several reports of prototypes attracted great publicity, e.g.
A Adamatzky, A Adamatzky, A Adamatzky, A Adamatzky, AD Moore, AD Moore, AD Moore, Alexander E. Dubinov, Andrew Adamatzky, Aswathi Nair, C Scherber, CY Lee, D Tolmachiev, DR Reyes, F Rubin, HS Hele-Shaw, HS Hele-Shaw, I Lagzi, Jitka Čejková, K Agladze, K Yokawa, Lionel Tarassenko, MH Dickinson, MJ Fuerstman, R McFee, Simon Ayrinhac   +25 more
core   +1 more source

Modeling multi-cellular systems using sub-cellular elements [PDF]

, 2005
We introduce a model for describing the dynamics of large numbers of interacting cells. The fundamental dynamical variables in the model are sub-cellular elements, which interact with each other through phenomenological intra- and inter-cellular ...
Newman, T. J.
core   +2 more sources

Estimating the Concrete Ultimate Strength Using a Hybridized Neural Machine Learning

Buildings, 2023
Concrete is a highly regarded construction material due to many advantages such as versatility, durability, fire resistance, and strength. Hence, having a prediction of the compressive strength of concrete (CSC) can be highly beneficial.
Ziwei Zhang
doaj   +1 more source

NEFI: Network Extraction From Images

, 2015
Networks and network-like structures are amongst the central building blocks of many technological and biological systems. Given a mathematical graph representation of a network, methods from graph theory enable a precise investigation of its properties.
Dirnberger, Michael, Kehl, Tim, Neumann, Adrian   +2 more
core   +1 more source

Patterns of cell movement within the Dictyostelium slug revealed by cell type-specific, surface labeling of living cells [PDF]

, 1994
There are cells acattered in the rear, prespore region of the Dictyostelium slug that share many of the properties of the prestalk cells and that are therefore called anterior-like cells (ALCs).
Akiyama, Blaschke, Bonner, Bonner, Buhl, Ceccarelli, Chung, Devine, Early, Early, Early, Evan, Francis, Gaskell, Gregg, Gregg, Hadwiger, Harlow, Harwood, Howard, Jermyn, Jermyn, Kakutani, McRobbie, Montell, Niehrs, Nomura, Raper, Raper, Rubin, Salser, Siegert, Siegert, Siegert, Steinbock, Sternfeld, Sternfeld, Sternfeld, Takeuchi, Ti, Watts, Williams   +41 more
core   +1 more source

Optimization of Construction Projects Time-Cost-Quality-Environment Trade-off Problem Using Adaptive Selection Slime Mold Algorithm [PDF]

Journal of Soft Computing in Civil Engineering
In order to address optimization problems, artificial intelligence (AI) is employed in the construction industry, which aids in the growth and popularization of AI.
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
doaj   +1 more source

Engineered Protein‐Based Ionic Conductors for Sustainable Energy Storage Applications

Advanced Materials, EarlyView.
Rational incorporation of charged residues into an engineered, self‐assembling protein scaffold yields solid‐state protein films with outstanding ionic conductivity. Salt‐doping further enhances conductivity, an effect amplified in the engineered variants. These properties enable the material integration into an efficient supercapacitor.
Juan David Cortés‐Ossa, Paolo Blesio, Marcial Fernandez‐Castro, Lisa Almonte, Maxence Fernandez, Mantas Liutkus, Perumal Pandurangan, Carlos Sabater, Aitor Villaverde, Manuel Melle‐Franco, Nurit Ashkenasy, Felipe Jiménez‐Ángeles, M. Carmen Morant‐Miñana, M. Reyes Calvo, Aitziber L. Cortajarena   +14 more
wiley   +1 more source

CSSMA: A novel algorithm of slime mold optimzer for global optimization problems

, 2023
Abstract The Slime Mold Algorithm (SMA) is a popular optimization algorithm in recent years. However, it suffers from weaknesses in exploration capability, insufficient balance, and a tendency to get trapped in local optima. To address these issues, this paper proposes a novel Slime Mold Algorithm based on Cosine Similarity and Population Range
Tian-Lei Wang, Le-Qing Chen, Shao-Wei Gu, Zhu Wang, Ying Xu   +4 more
openaire   +1 more source

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm

Advances in Civil Engineering, 2022
Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal fluctuations in climatic factors and complex physical processes. This paper proposes a novel hybrid machine learning model based on an artificial neural network (ANN ...
Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Nabeel Saleem Saad Al-Bdairi   +4 more
doaj   +1 more source

When the path is never shortest: a reality check on shortest path biocomputation

, 2017
Shortest path problems are a touchstone for evaluating the computing performance and functional range of novel computing substrates. Much has been published in recent years regarding the use of biocomputers to solve minimal path problems such as route ...
A Adamatzky, A Adamatzky, A Adamatzky, A. Tero, Andrew Adamatzky, C Scherber, CD Harvey, CR Reid, IH Riedel-Kruse, J Baumgardner, J Houten Van, J Houten Van, J Jones, Jeff Jones, K Ramsch, K Vittori, L Zhu, M Dorigo, M Vela-Pérez, Michael Esau, R Mayne, R Mayne, R Mayne, Richard Mayne, S Stepney, Saikat Jana, SC Pratt, T Hennessey, T Nakagaki   +28 more
core   +1 more source