Ali Louati, Ph.D.’s Post

The Handbook of Multimodal-Multisensor Interfaces, Volume 2 is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. Get it here: https://bit.ly/3WHpFQ0 Authors: Sharon Oviatt, Incaa Designs, Bjoern Schuller, University of Passau and Imperial College London, Philip R. Cohen, VoiceBox Technologies, Daniel Sonntag, German Research Center for Artificial Intelligence, Gerasimos Potamianos, University of Thessaly, Antonio Kruger, German Research Center for Artificial Intelligence #mulimodal #signal #processing #architectures #machinelearning #traitrecognition #cognitiveload #BehavioralSignals #socialsignals #Classifying #Multimodal #Data #AffectDetection ACM, Association for Computing Machinery

This #specialissue "Machine Learning and Artificial Intelligence in Engineering Applications" published 7 high-quality papers, and is viewed by 12301! Guest Editors: Dr. Sotirios Kontogiannis and Dr. Myrto Konstantinidou 🔗We invite you to read and share: https://lnkd.in/gNCubWhB 👉Thank the Guest Editor's effort on this Special Issue! MDPI University of Ioannina National Center for Scientific Research "Demokritos" #machinelearning #artificialintelligence #engineering

The Handbook of Multimodal-Multisensor Interfaces, Volume 2 is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. Get it here: https://bit.ly/3WHpFQ0 Authors: Sharon Oviatt, Incaa Designs, Bjoern Schuller, University of Passau and Imperial College London, Philip R. Cohen, VoiceBox Technologies, Daniel Sonntag, German Research Center for Artificial Intelligence, Gerasimos Potamianos, University of Thessaly, Antonio Kruger, German Research Center for Artificial Intelligence #mulimodal #signal #processing #architectures #machinelearning #traitrecognition #cognitiveload #BehavioralSignals #socialsignals #Classifying #Multimodal #Data #AffectDetection ACM, Association for Computing Machinery

How to submit | Machine learning for materials discovery and optimization 2024 - Nature: ... artificial intelligence and high-throughput approaches. Advances in machine learning for materials science, data-driven materials prediction ... http://dlvr.it/TFY2gy

🌟 Greetings, LinkedIn Community! 🌟 I'm delighted to share that our latest research paper, "Double-U Net: A Novel Approach for Deep Learning Based Image Defogging," has been published in the International Journal of Computer Information Systems and Industrial Management Applications! This paper introduces the innovative Double-U Net algorithm, which enhances the clarity of foggy or hazy images significantly. Our method not only surpasses most contemporary defogging techniques in terms of PSNR and SSIM scores but also holds great potential for applications in the transportation, navigation, and surveillance industries. A big congratulations and thank you to my mentors and co-authors, Dr. Anu Bajaj, Dr. Ajith Abraham, Ankit Bhardwaj, Mayank Jindal, Surbhi Khosla, and Rahul Saini, for their incredible teamwork and dedication. 🔍 Dive into the full paper: https://lnkd.in/g-rF9V8D #research #deeplearning #imageprocessing #computervision #innovation #publication #academicachievement

🎉 Excited to share that our paper titled "Facial Emotion Detection System through Machine Learning Approach" has been published in the International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), Volume 06, Issue 06, June 2024! 🌐📄 In this paper, we present a Facial Emotion Detection System that leverages machine learning techniques to recognize emotions like happiness, sadness, anger, and more, from facial expressions. By integrating a real-time system using computer vision and deep learning, our goal is to enhance human-computer interaction by enabling devices to better understand and respond to human emotions. This work represents months of dedication, collaboration, and passion for using machine learning to enhance human-computer interaction. The journey was filled with learning experiences, and I want to give a special shoutout to my teammates Shubham Shingade and Om Swami couldn't have done this without you! 🙌 A big thank you to our guide Prof. Suraj Dhanawe for your invaluable guidance and support throughout the project. Looking forward to future endeavors and pushing the boundaries of technology! #Research #MachineLearning #FacialEmotionRecognition #Engineering #IRJMETS #Collaboration #Teamwork

Hello connections here i have shared topic on visualization question and answering Thanks sir being a part of our skills development on this intenship program A heartfelt thanks to the AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society and SaiSatish sir for their valuable guidance and support. The experience has improved with knowledge and work on solving real-world challenges. #aimerssociety #saisatish #visualization

✨ Sharing another project on Image Classification using Google Teachable Machine. ★ This model classify images with accuracy. AIMERS:Artificial Intelligence Medical and Engineering Researchers Society. #AIMERS #ImageClassification #GoogleTeachableMachine #Al #IndianServers

Hello connections here i have shared topic on visualization question and answering Thanks sir being a part of our skills development on this intenship program A heartfelt thanks to the AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society and SaiSatish sir for their valuable guidance and support. The experience has improved with knowledge and work on solving real-world challenges. #saisatish #aimerssociety #visualization

Advancing Membrane Science: The Role of Machine Learning in Optimization and Innovation Machine Learning in Membrane Science:ML significantly transforms natural sciences, particularly cheminformatics and materials science, including membrane technology. This review focuses on current ML applications in membrane science, offering insigh... https://lnkd.in/eqqKQbFH #AI #ML #Automation