AliAmini93 / robot-path-planning
An algorithm for robot navigation was designed, accounting for random obstacles and determining optimal paths. It leverages a genetic algorithm to pinpoint the shortest route from start to end.
☆28Updated 2 years ago
Related projects: ⓘ
- The optimization of Wireless Sensor Networks (WSNs) using low-power nodes focused on energy efficiency, introducing a routing strategy fo…☆27Updated 2 years ago
- A hybrid approach was developed to predict NASA website queries using neural networks and metaheuristic optimization algorithms. The weig…☆13Updated 2 years ago
- Developed a Windows tool using PyQt5, integrating K-means clustering for data analysis. The application recommends optimal cluster number…☆31Updated last year
- Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for featu…☆21Updated last month
- Implemented a CNN-LSTM Action Recognizer for dynamic motion analysis, integrating convolutional and recurrent neural networks to efficien…☆22Updated 8 months ago
- In 2021, a precise forecast of Iran Post's 2021-2022 income was achieved using ARIMA, with only a 1.5\% error. This approach was subseque…☆17Updated last year
- Developed TactileNet, the first deep-learning model designed for surface roughness recognition using EEG data. This project leverages CNN…☆35Updated 2 years ago
- Developed a Windows-based app for analyzing data distributions and identifying the best-fitted distribution using the Maximum Likelihood …☆18Updated last year
- Developed an AI-driven project for Printed Circuit Board (PCB) analysis, incorporating computer vision for image registration, IC detecti…☆69Updated 3 weeks ago
- Developed the ViViT model for medical video classification, enhancing 3D organ image analysis using transformer-based architectures.☆29Updated 4 months ago
- ☆16Updated 3 months ago
- Projects with Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO)☆46Updated 3 weeks ago
- Autoencoders (AEs) were developed for high-resolution image reconstruction from TinyImageNet and pair recovery from averaged CIFAR-10 com…☆11Updated 10 months ago
- A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.☆56Updated last month
- Developed a custom application of the Segment Anything Model (SAM) for breast cancer tissue segmentation, utilizing Hugging Face's Transf…☆50Updated 3 weeks ago
- Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extract…☆41Updated 3 weeks ago
- Developed BERT, LSTM, TFIDF, and Word2Vec models to analyze social media data, extracting service aspects and sentiments from a custom da…☆34Updated last month
- Implementing a Graph Neural Network in PyTorch for edge prediction on MNIST images, showcasing a novel approach in connectivity analysis.☆12Updated 9 months ago
- Developed the Neuro Vision Transformer, an innovative machine learning model utilizing Vision Transformer architecture for EEG signal cla…☆23Updated 8 months ago
- Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling in Wireless Sensor Networks (WSN), enhanc…☆26Updated last month
- ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized …☆36Updated 2 months ago
- Resources to learn how to implement ethical AI☆12Updated 6 months ago
- ☆12Updated 5 months ago
- Fair Statistical Learning Algorithms for Ethical Artificial Intelligence☆25Updated last year
- ☆11Updated 2 years ago
- ☆15Updated 2 months ago
- ☆12Updated this week
- ☆13Updated this week
- Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative A…☆456Updated 9 months ago
- 10 steps to Become a Data Science☆34Updated last year