The phrase "a framework to detect" is correct and usable in written English.
It can be used when discussing a system or structure designed to identify or recognize something, often in technical or analytical contexts.
Example: "The researchers developed a framework to detect anomalies in the data collected from the experiment."
Alternatives: "a system for identifying" or "a structure to recognize".
This article proposes a framework to detect and segment changes in robotics datasets, using 3D robotic mapping as a case study.
Rayana and Akoglu [21] propose a framework to detect suspicious users and reviews in a user-product bipartite review network which accepts prior knowledge on the class distribution estimated from meta-data.
In line with this motivation, using inductive and deductive reasoning, we introduce a framework to detect occupant activities and potential wasted energy consumption and peak-hour usage that could be shifted to non-peak hours in real-time.
The proposed solution provides a framework to detect, isolate, and estimate various faults in system components, using Adaptive Fuzzy Inference Systems Parameter Estimators (ANFISPEs) that are designed and based on parameterizations related to each class of fault.
In this section, a new algorithm is proposed that uses the ANC technique in a Bayesian framework to detect moving parts of each frame in a video sequence.
Inspired by the experienced workers' visual inspection mechanism, this paper develops a novel framework to detect diverse types of defects from X-ray images.
In comparison to BEAM and BEAM2, which were developed in detecting high-order epistasis from discrete genotypes in single case control phenotype, BHIT expands BEAM by building a flexible framework to detect multiple high-order epistasis in case control and/or quantitative phenotypes.
As such, our primary goal is to develop an analytic framework to detect anomalous accesses by leveraging the inherent collaborative nature of the users in a CIS.
Pelin et al. [40] proposed an authentication framework to detect the cloud computing entities such as cloud as user and services.
We summarize and extend our previous work from [5]- [9] on face detection and individual identification of African great apes for wildlife monitoring and present an automated framework to detect and subsequently identify free-living as well as captured chimpanzee individuals in uncontrolled environments.
In this paper, a novel jammer detection framework to detect the intrusion of jammer and the presence of jamming in a cluster-based wireless sensor network is proposed.
