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Anomaly Detection is the process of identifying unexpected patterns or behaviors in data. It can help detect errors in data or uncover malicious activity. Anomaly Detection Engineers specialize in developing algorithms to search large data sets for outliers and anomalies that don't fit with the rest of the data. Depending on the application, Anomaly Detection Engineers can develop supervised or unsupervised methods to detect anomalies of various kinds, from time series forecasting models to deep learning for intrusion detection.
Here's some projects that our expert Detection Engineers made real:
- They created modifications on a multivariate time series anomaly detection model, perfect for predictive analytics applications.
- They developed an analysis to detect anomalous activities in blockchain systems using deep learning algorithms and techniques.
- They adapted existing projects from sources like Github to meet the needs of their coursework, allowing them to more accurately apply Neural Network theories.
With Anomaly Detection, engineers can create projects that promise exceptional results no matter the size of the dataset or application. If you're interested in discovering anomalous behaviors or uncovering underlying patterns, then consider hiring an Anomaly Detection Engineer today! Freelancer.com offers unparalleled opportunity to find and hire the right engineer to make your project a reality.
Kutoka kwa kaguzi 690 , wateja wanakadiria yetu Detection Engineers 4.8 kati ya nyota 5.Ajiri Detection Engineers
Anomaly Detection is the process of identifying unexpected patterns or behaviors in data. It can help detect errors in data or uncover malicious activity. Anomaly Detection Engineers specialize in developing algorithms to search large data sets for outliers and anomalies that don't fit with the rest of the data. Depending on the application, Anomaly Detection Engineers can develop supervised or unsupervised methods to detect anomalies of various kinds, from time series forecasting models to deep learning for intrusion detection.
Here's some projects that our expert Detection Engineers made real:
- They created modifications on a multivariate time series anomaly detection model, perfect for predictive analytics applications.
- They developed an analysis to detect anomalous activities in blockchain systems using deep learning algorithms and techniques.
- They adapted existing projects from sources like Github to meet the needs of their coursework, allowing them to more accurately apply Neural Network theories.
With Anomaly Detection, engineers can create projects that promise exceptional results no matter the size of the dataset or application. If you're interested in discovering anomalous behaviors or uncovering underlying patterns, then consider hiring an Anomaly Detection Engineer today! Freelancer.com offers unparalleled opportunity to find and hire the right engineer to make your project a reality.
Kutoka kwa kaguzi 690 , wateja wanakadiria yetu Detection Engineers 4.8 kati ya nyota 5.Ajiri Detection Engineers
AI Fetal Ultrasound Biometry Analysis System
4 siku left
Building an AI-powered fetal ultrasound biometry analysis system. Looking for an experienced ML/computer vision engineer or team. The project involves developing a two-phase deep learning pipeline for automated measurement of fetal biometry from 2D ultrasound images. Ultrasound plane detection and classification (head, abdomen, femur planes) Semantic segmentation of anatomical structures using CNN/U-Net architecture Ellipse fitting and geometry extraction for biometry calculations Automated measurement of HC, BPD, AC, FL, OFD, EFW, and derived ratios Scan quality scoring, measurement consistency validation Basic explainability (GradCAM overlays) and rule-based report generation Training datasets: HC18, FETAL_PLANES_DB, FPUS23, INTERGROWTH growth charts Multi-task learning model (single bac...
$259
Average bid
Machine Learning IoT Privacy Shield
3 siku left
I’m building a proof-of-concept privacy layer for wearable technology that relies on behavioral learning rather than hard-coded rules. By continuously studying user activity patterns, the system should recognize legitimate behavior, flag anomalies, and trigger the right counter-measure—whether that’s seamless data encryption, blocking unauthorized access attempts, or preventing downstream data misuse. Scope • Devices: fitness bands, smartwatches, health trackers and similar wearables. • Data feed: anonymized streams of time-stamped user actions (steps, heart-rate checks, gesture commands, app interactions). What I need from you 1. Design and train a lightweight machine-learning model (anomaly detection or sequence-based classification) optimised for on-device ...
$29 / hr
Average bid
Machine Learning IoT Privacy Shield
1 siku left
I’m building a proof-of-concept privacy layer for wearable technology that relies on behavioral learning rather than hard-coded rules. By continuously studying user activity patterns, the system should recognize legitimate behavior, flag anomalies, and trigger the right counter-measure—whether that’s seamless data encryption, blocking unauthorized access attempts, or preventing downstream data misuse. Scope • Devices: fitness bands, smartwatches, health trackers and similar wearables. • Data feed: anonymized streams of time-stamped user actions (steps, heart-rate checks, gesture commands, app interactions). What I need from you 1. Design and train a lightweight machine-learning model (anomaly detection or sequence-based classification) optimised for on-device ...
$82
Average bid
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