… dynamic data are available regarding the person's signature. … In machine learningbased
signature verification processes, … to offline handwriting signature verification with Contradictory …

… Machine learning (ml) techniques can be used to mitigate the impacts of attacks targeting
keyless … Most keyless systems use radio-frequency identification (RFID) technology as an …

… focusing on the machine learning models performance in … Data collection: Some researchers
on keystroke dynamics … ranking of the enrolled identities constitutes the system's output…

… communication, with dynamically adjustable access control … , which can enable keyless
secure transmission by using the … authentication scheme based on deep learning [5]. Once the …

… , iris, or facial for identity verification and authentication [5]… : deep learning based, hybrid,
minutiae-based, and texture-… use dynamic biometrics need to improve their verification accuracy, …

… powerful in capturing the transient dynamics of the human body … [91] proposed a Persian
handwritten word identifier based on a … Second, they proposed Fusion KeyLess Attention in the …

… (2019) propose a unique solution to mitigate the risk of identity … of machine learning,
blockchain, IoT, and online signature … handwritten signatures are authenticated through dynamic …

… against deep learning algorithms in traffic sign recognition … of the deep learning algorithms
in the traffic sign recognition … classification accuracy of the traffic sign recognition system. Then…

… focusing on the machine learning models performance in … based on keystroke dynamics,
by applying machine learning … WUZIA can also be implemented on systems like Keyless-Go […

… Electronic locks provided benefits such as keyless entry, … Adaboost machine learning
algorithm is used to simplify … programmable access control to dynamically manage access …