Artificial Intelligence Feed’s Post

Excited to share this latest blog post on enhancing computational efficiency in multiscale systems using deep learning techniques. The post discusses how deep learning can be used to develop a precise time-stepping approach for multiscale systems, showcasing the joint discovery of coordinates and flow maps to achieve state-of-the-art predictive accuracy while reducing computational costs. Check out the full article here: https://bit.ly/3RQ63Ie

An exciting experience in EGU2024. We presented a multimodal deep learning model for landslide detection: "Identifying Heterogeneous Landslides using Multi-modal Deep Learning".

📢 Read our Review paper 📚 An Overview on Deep Learning Techniques for Video Compressive Sensing 🔗 https://lnkd.in/ggFmxNNG 👨🔬 by Mr. Wael Saideni et al. 🏫 Université de Poitiers #video #compressivesensing

I'm delighted to share that I've took the first step by completing the first course of the Deep Learning Specialization :"Neural Networks and Deep Learning ", offered by #DeepLearning.AI and #Stanford University. #machinelearning #neuralnetworks #deeplearning #imageprocessing

My first research paper has been published in the IEEE Xplorer. 🍀 It's available now! "Automatic Modulation Recognition with Deep Learning Algorithms"

Although regional wall motion abnormality (RWMA) detection is foundational to TTE, current methods are prone to interobserver variability. We aimed to develop a deep learning (DL) model for RWMA assessment and compare it to expert and novice readers. Read our JASE article: bit.ly/4cuVjra

🌟 Completed the CNN Specialization by Andrew Ng! 🌟 Excited to share that I’ve completed the Convolutional Neural Networks (CNN) specialization by Andrew Ng on Coursera (audit mode). This course has provided me with a solid theoretical foundation in deep learning, particularly in CNN architectures and their applications in computer vision tasks. To take this knowledge further, I’m now planning to start a hands-on course to strengthen my practical skills in implementing CNNs. As I continue to explore and learn in the field of deep learning, I’m open to suggestions and advice from this amazing community. Let’s connect and grow together! 🚀 #DeepLearning #ConvolutionalNeuralNetworks #MachineLearning #AI #LifelongLearning

Although regional wall motion abnormality (RWMA) detection is foundational to TTE, current methods are prone to interobserver variability. We aimed to develop a deep learning (DL) model for RWMA assessment and compare it to expert and novice readers. bit.ly/4cuVjra

Hey connections!!!!! Excited to share that I’ve completed the Convolutional Neural Networks (CNN) course from Great Learning Academy! This course has deepened my understanding of advanced deep learning techniques and their applications in real-world scenarios. #ConvolutionalNeuralNetworks #deeplearning #GreatLearning #Onlinecourses

Speed is evrything in the new AI age.