The phrase "adaptable network" is correct and usable in written English.
It can be used to describe a network that is flexible and can adjust to changing conditions or requirements.
Example: "The company implemented an adaptable network to ensure seamless communication and data transfer as their needs evolved."
Alternatives: "flexible network" or "versatile network".
In this paper, we present an adaptable network architecture, called ADNET, which provides mechanisms to allow the application adapt to the resource constraints to achieve improved QoS.
Motivated by the above example, we strongly advocate the channel width adaptable network architecture.
Moreover, design practices in recent years indicate a need for cost-effective and logistically adaptable network design approaches.
Another motivation for the channel width adaptable network architecture is the recent open spectrum effort [7] made by the spectrum regulation authority such as FCC.
In this section, we compare the performance of our proposed channel width adaptable network architecture with the traditional multi-radio multi-channel networks using fixed-width channels.
Despite its apparent simplicity, PHPN is an adaptable network algorithm that can elucidate both intuitive and previously undiscovered biological connections between PTs, deftly characterizing the shared genetic mechanisms in the former and identifying unifying genetic traits in the latter.
Covalent adaptable networks (CANs) are cross-linked polymers capable of relieving internal stresses by reconfiguring their network topology.
Removing splits reduces complexities and leads to advantages like more real simulations, more adaptable networks to consider pressure drop and flow regime and near real cost estimations.
Our research is therefore aimed towards enriching formal design methods for the development of LSMAS to foster the development of self-organizing and adaptable networks of devices that will contribute towards a sustainable development of the information society.
We identified a number of such regions, which form a complex network controlling seed isoflavone levels Overall, our results suggest that isoflavone accumulation in soybean seeds is controlled by a complex environment-adaptable network of interacting nodes.
The architecture of these networks is considered in an effort to provided an adaptable, generalized network that provides accuracy comparble to that of traditional modeling techniques.
