Vehicle To Vehicle mechanism is one of the main components in the Vehicular Ad Hoc Network (VANET) networks the main target of which is because of its importance in our daily lives to open direct communication between vehicles. United States is using a predefined band 5.9 GHz. IEEE 802.11p ...
For AI-based modeling, several machine learning and deep learning algorithms, the concept of natural language processing, as well as knowledge representation and rule-based expert systems, can be used according to their data characteristics, in order to make the target mobile applications intelligent....
. A set of such context-aware behavioral rules including general and specific exceptions, may vary from user-to-user according to their preferences. In addition to the personalized services mentioned above, the relevant context-aware rules in different surrounding contexts could be applicable to other...
For a target evolution time t and an error tolerance ϵ, qubitization makes only O(t+log1/ϵ) queries to the oracle, which is asymptotically optimal. However, the construction of the Hamiltonian oracle generally involves ancillary qubits, making qubitization difficult to implement in near-...
Thank you, panelists, for agreeing to be on this panel. Some had very short notice. I tapped Simon on the shoulder 15 minutes ago and asked him to pop in. I am going to kick it off with some of these questions you’ve been kind enough to ask. This is an interesting one, I’m...
Long short-term memory (LSTM)This is a popular form of RNN architecture that uses special units to deal with the vanishing gradient problem, which was introduced by Hochreiter et al. [42]. A memory cell in an LSTM unit can store data for long periods and the flow of information into an...
3.4. K-Nearest Neighbors (KNN) K-nearest neighbors (KNN) is a non-parametric and instance-based machine learning algorithm used for classification tasks. The algorithm operates by identifying the K most similar data points (neighbors) from the labeled dataset to a given query example [108]. Th...
On the other hand, local accessibility is usually defined as the distance from home to the nearest store. Distance to transit involves calculating the average of the shortest street route from residences or workplaces in a given area to the closest public transport stop (e.g., rail station ...
it also introduces new security challenges. One of the most significant challenges is DoS attacks. DoS attacks aim to overwhelm the target system with too much traffic, rendering it unavailable to legitimate users. These attacks can be particularly effective against IoT devices due to their often ...
These algorithms, based on the previous functions’ description, require a large amount of memory to store the data. Memory-based models delay the processing until a new instance is classified or predicted, which is known as the lazy learning pattern. Lazy learning has the advantage of ...