The limitation of 5G mmWave, despite its high speed, is the fact that they have a short range.
- 5G simply means the fifth generation of wireless technology that has great speed and provides connectivity to cellphones.
- mmWave is the higher frequency radio band that is very fast. It should be noted that the 5G mmWave is super fast and is being used by large organizations to improve their work.
- The main limitation of 5G mmWave is that for one to use it, one has to be close to the 5G tower. This is why it's hard for people living in rural areas to benefit from it unless it's situated close to them.
- It should be noted that despite the fact 5G offers greater bandwidth, which is vital in relieving network congestion, there are still more improvements to be made in order for everyone to benefit.
In conclusion, the limitation of 5G mmWave, is that they have a short range.
Read related link on:
brainly.com/question/24664177
Applying potential difference to a conductor, by potential force, free electrons gain energy and move from low to high potential. Thus, electrons move from one atom to another.
Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
Answer:
Explanation:
The following code is written in Java and it simply creates the 2-Dimensional int array with the data provided and then uses the Arrays class to easily print the entire array's data in each layer.
import java.util.Arrays;
class Brainly {
public static void main(String[] args) {
int[][] arr = {{16, 17, 14}, {17, 18, 17}, {15, 17, 14}};
System.out.print(Arrays./*Remove this because brainly detects as swearword*/deepToString(arr));
}
}
Answer:
I believe it's accessibility
Explanation:
Because it makes the most sense
