Results 141 to 150 of about 9,202 (166)

Software Fault Prediction Using Machine-Learning Techniques

2017
Machine-learning techniques are used to find the defect, fault, ambiguity, and bad smell to accomplish quality, maintainability, and reusability in software. Software fault prediction techniques are used to predict software faults by using statistical techniques. However, Machine-learning techniques are also valuable in detecting software fault.
Deepak Sharma, Pravin Chandra
openaire   +1 more source

Evidence for the utility of quantum computing before fault tolerance

Nature, 2023
Youngseok Kim, Andrew Eddins, Sajant Anand   +2 more
exaly  

Fast universal quantum gate above the fault-tolerance threshold in silicon

Nature, 2022
Akito Noiri, Kenta Takeda, Takashi Nakajima   +2 more
exaly  

Fault-tolerant control of an error-corrected qubit

Nature, 2021
Laird Egan, Crystal Noel, Andrew Risinger   +2 more
exaly  

Demonstration of fault-tolerant universal quantum gate operations

Nature, 2022
Ivan Pogorelov, Christian D Marciniak, Roman Stricker   +2 more
exaly  

Hybrid Model for Software Fault Prediction

2022
Sourabh Yadav, Pradeep Tomar, Vibha Nehra, Nonita Sharma   +3 more
openaire   +1 more source

Software Fault Prediction

2018
Sandeep Kumar, Santosh Singh Rathore
openaire   +1 more source

Intermittent lab earthquakes in dynamically weakening fault gouge

Nature, 2022
Vito Rubino, Nadia Lapusta
exaly  

Fault Prediction Modeling for the Prediction of Number of Software Faults

2019
Santosh Singh Rathore, Sandeep Kumar
openaire   +1 more source

Applications of machine learning to machine fault diagnosis: A review and roadmap

Mechanical Systems and Signal Processing, 2020
Yaguo Lei, Bin Yang, Feng Jia
exaly