Rakhimzhanova T 1

1. A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications
2. AI-Powered Aerial Multispectral Imaging for Forage Crop Maturity Assessment: A Case Study in Northern Kazakhstan
3. Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras
4. Hyperspectral Imaging for Quality Assessment of Processed Foods: A Case Study on Sugar Content in Apple Jam
5. AnyFace++: Deep Multi-Task, Multi-Domain Learning for Efficient Face AI
6. A Multitask Deep Learning Model for Food Scene Recognition and Portion Estimation—the Food Portion Benchmark (FPB) Dataset
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