Nail Beisekenov
PhD student
PhD researcher in remote sensing, AI, ecology, and environmental science. Interested in scientific innovation, ecosystem forecasting, and international research collaborations.
- publications
- 39
- citations
- 243
- h-index
- 9
Publications39
- 412023
Application of Machine Learning and Neural Networks to Predict the Yield of Cereals, Legumes, Oilseeds and Forage Crops in Kazakhstan
Article · Agriculture · PDF
- 312025
Analysis of Biomechanical Characteristics of Bone Tissues Using a Bayesian Neural Network: A Narrative Review
Review · Journal of Functional Biomaterials · PDF
- 272023
Empowering Climate Resilience: Leveraging Cloud Computing and Big Data for Community Climate Change Impact Service (C3IS)
Article · Remote Sensing · PDF
- 192025
Remote sensing-based soil organic carbon monitoring using advanced machine learning techniques under conservation agriculture systems
Article · Smart Agricultural Technology · Open access
- 162024
Assessing the effectiveness of RS, GIS, and AI data integration in analysing agriculture performance to enable sustainable land management
Article · Discover Sustainability · PDF
- 132025
Data-Driven Design and Additive Manufacturing of Patient-Specific Lattice Titanium Scaffolds for Mandibular Bone Reconstruction
Article · Journal of Functional Biomaterials · Open access
- 112024
Soil Erosion Prediction in Western Kazakhstan Through Deep Learning with a Neural Network Approach to LS-Factor Analysis
Article · Journal of the Indian Society of Remote Sensing · PDF
- 92024
Modelling the properties of aerated concrete on the basis of raw materials and ash-and-slag wastes using machine learning paradigm
Article · Frontiers in Materials · Open access
- 92021
Mathematical Modelling in Crop Production to Predict Crop Yields
Article · Chemical engineering transactions · PDF
- 72024
Physical–Mechanical and Microstructural Properties of Non-Autoclaved Aerated Concrete with Ash-and-Slag Additives
Article · Sustainability · PDF
- 72024
Advanced Preprocessing Technique for Tomato Imagery in Gravimetric Analysis Applied to Robotic Harvesting
Article · Applied Sciences · PDF
- 72023
Innovative Approaches for Improving the Quality and Resilience of Spring Barley Seeds: The Role of Nanotechnology and Phytopathological Analysis
Article · Plants · PDF
- 72022
Modelling of Alfalfa Yield Forecasting Based on Earth Remote Sensing (ERS) Data and Remote Sensing Methods
Article · Chemical engineering transactions · PDF
- 62024
Forecasting Land Use Dynamics in Talas District, Kazakhstan, Using Landsat Data and the Google Earth Engine (GEE) Platform
Article · Sustainability · Open access
- 42025
Mathematical Modeling and Biomechanical Analysis of a Derotation Plate for Treating Complex Hip Dysplasia
Article · Applied Sciences · Open access
- 42022
Analysis of Process Modeling in Modern Software Program to Support "Smart" Agriculture
Article · Chemical engineering transactions · PDF
- 42022
Modelling of Forecasting Crop Yields Based on Earth Remote Sensing Data and Remote Sensing Methods
Article · Chemical engineering transactions · PDF
- 42022
Forecasting Crop Yields Based on Earth Remote Sensing Methods
Article · Chemical engineering transactions · PDF
- 32023
Mathematical Modeling of Crop Yield Forecast Based on Field Monitoring and Remote Sensing Data
Article · Mathematical Physics and Computer Simulation · PDF
- 32022
Digitalization of Crop Production for Transition to Climate-optimized Agriculture Using Spring Wheat in East Kazakhstan as an Example
Article · Chemical engineering transactions · PDF
- 22022
Efficiency of Using Earth Remote Sensing Data for The Rational Use of Agricultural Land
Article · Chemical engineering transactions · PDF
- 22021
Mathematical Optimization as A Tool for the Development of "Smart" Agriculture in Kazakhstan
Article · Chemical engineering transactions · PDF
- 12026
Recovery of Secondary Metals and Concrete Modification from Recycled PC Electronic Waste
Article · Recycling · PDF
- 12026
A Two-Vector Framework for MRI Knee Diagnostics: Fuzzy Risk Modeling, Digital Maturity, and Finite-Element Wear Assessment
Article · Applied Sciences · PDF
