SpliTech’s Post

Just another day… I’m kidding😂 After months of research, I had the incredible honor of presenting our findings at the 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (ICITA’24) in 𝗦𝘆𝗱𝗻𝗲𝘆, 𝗔𝘂𝘀𝘁𝗿𝗮𝗹𝗶𝗮! Our paper explores smart environmental monitoring within IoT frameworks, where we used Wi-Fi to measure ambient temperature. With the ESP32 chipset, we examined the accuracy of temperature predictions and how CSI reacts to different heat sources. Essentially, we took the concept of 𝗮𝗺𝗯𝗶𝗲𝗻𝘁 𝘁𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗼𝗻𝗹𝘆 𝗪𝗶-𝗙𝗶 𝘀𝗶𝗴𝗻𝗮𝗹𝘀, with 𝗻𝗼 𝘀𝗲𝗻𝘀𝗼𝗿𝘀 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱, and made it a reality! 💡 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: • Our 𝗥𝗮𝗻𝗱𝗼𝗺 𝗙𝗼𝗿𝗲𝘀𝘁 𝗺𝗼𝗱𝗲𝗹 achieved an impressive 𝟵𝟰.𝟳𝟱% accuracy in detecting heat sources. • The 𝗟𝗦𝗧𝗠 𝗻𝗲𝘂𝗿𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 we fine-tuned reached a mean absolute error as low as 𝟬.𝟮𝟰 for temperature prediction on focused datasets. • This research showcases the potential of Wi-Fi as a cost-effective, scalable solution for real-time, smart environmental sensing. A huge shoutout to Talal Shaikh for his incredible support and guidance throughout this journey. The presentation was a success, and I’m excited to see where this research leads next!

Highlights from the Antennas Symposium organized by Thales TRT! Mohamed Masmoudi, CEO of ADAGOS, presented compelling use cases showcasing the capabilities of our artificial intelligence software, NeurEco. We're proud to have shared our insights at this event, demonstrating how AI can optimize antenna technologies. #Antennas #AI #Thales #ThalesTRT #NeurEco #Adagos #Software #AISoftware #Data #SmallData #BigData #Intelligentsoftware #Artificialintelligence #NeurEco #IA #Innovation #DigitalTransformation #NeuralNetworks #MachineLearning #IoT #DigitalTwin #Adagos #Engineering #Engineer #Engineers #DataOptimization

👍Sensors MDPI We would like to recommend a new Special Issue: Sensor Networks for Structural Health Monitoring 2024 🤵 Guest Editors: Dr. Hamed Kalhori and Dr. Jinchen(JC) Ji Deadline: 30 September 2024 😎 Please click here to submit your paper: https://lnkd.in/dWA5QbUH   We welcome the following topics, but not limited to: Wireless sensor networks for structural health monitoring; Sensor data fusion techniques; Energy-efficient sensing solutions; Machine learning applications in structural health monitoring; Novel sensor technologies; Remote sensing and IoT applications; Real-time monitoring of civil infrastructure; Case studies and practical applications; Security and privacy in sensor networks; Integration of sensor networks with smart infrastructure; Sensors in predictive maintenance for mechanical structures; Condition monitoring in rotating machinery; Advanced non-contact sensor technology; Sensors for monitoring mechanical and aerospace structures.

I'm thrilled to announce the publication of my IEEE paper on "IoT-Enabled Environmental Monitoring System Using AI." This research highlights the significant impact of AI on IoT-based environmental monitoring, showcasing advancements in various sectors. Here, How the ML/DL algorithms enable real-time analysis of IoT camera data. It also assesses current IoT environmental monitoring technologies, emphasizing AI's crucial role in improving data quality, predictive analytics, and decision-making. Through case studies and experimental results, the paper demonstrates the system's effectiveness in detecting and predicting environmental changes, supporting proactive environmental conservation and management efforts.

#NDTArticle Alessandro Sardellitti’s latest thesis offers a view into how Industry 4.0 is reshaping quality control through advanced Non-Destructive Testing and Evaluation (NDT&E) methods. By integrating IoT sensors, AI, and real-time data analytics, this research paves the way for early defect detection and continuous, on-line inspections. Key highlights include the use of low-cost sensors for real-time measurements, optimized eddy current methods for thickness estimation and the application of dimensional analysis to simplify complex NDT&E challenges. Read the full research and its implications for Industry 4.0 here: https://lnkd.in/dX8Eyj9q ReJNDT Special Issue 'Frontiers in Nondestructive Testing and Evaluation: Academic Insights (2022/23)' captures the contents of outstanding master's and doctoral theses in the field of nondestructive testing. It is edited by Dr. Thomas Würschig, Roberto Henry Herrera, Cesar Camerini, aldo Canova, Michele Carboni, Younho Cho, Elena Jasiuniene & Antonello Tamburrino. #NDT #NonDestructiveTesting #Industry40 #NDE40 #Innovation #OpenAccess #ResearchInsights

🌊 Thrilled to share our publication from the 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA), "DeksaCleannect: Conceptual Design of an IoT and AI Integrated Approach for Ocean Plastic Detection and Alerting System." This work, developed at Mechatronics and Industrial Automation Research Center ITS, Institut Teknologi Sepuluh Nopember (ITS), lays the groundwork for addressing the pressing issue of oceanic plastic pollution with a smart blend of IoT and AI technologies. 🌐 With rivers channeling an alarming 8 million tons of plastic into oceans annually, our approach aims to tackle the problem at its roots, enabling swift and informed interventions to mitigate this global crisis. 🤝 This project also played a crucial role in my presentation at Falling Walls Foundation Falling Walls Lab 2023 by DAAD German Academic Exchange Service and Auswärtiges Amt (Federal Foreign Office) Germany, showcasing innovative solutions for global challenges. 🔗 Link to the paper on IEEE Xplore: https://lnkd.in/g6AGNgdk #ICAMIMIA2023 #IoT #AI #EnvironmentalConservation #Innovation #Mechatronics #FallingWallsLab #IndustrialAutomation #MarineWaste #PlasticDebris #SustainableTechnology #BlueTechnology

Efforts are being made to utilize the sensing outcome for better outcomes that can support health wellness in a personalized manner. To make it possible, the interfacing of IoT and AI is essential to support the approach of "from sensing to sense". Such if interlocking of 5th and 6th generation sensing seems an effective and efficient approach to managing health is a better way. To explore this approach, we are invited by Frontiers in Nanotechnology (IF =4.1) to support "Thoughts Leaders in Nanotechnology" by articulating a perspective. With the help of Hirak Mazumdar, Ph.D, SMIEEE, MACM Kamil Reza Khondakar, Ph.D Suparna Das, I was able to project the need and aspect of Sensing to Sense Approach. https://lnkd.in/dbBUMfkz Article Title - Aspects of 6th generation sensing technology: from sensing to sense It was really a great experience. Hopefully this article will project upcoming sensing technology for sustainable health. Florida Polytechnic University Frontiers #sensors #biosensors #5thgenerationsensing #6thgenerationsensing #personalizedhealth #pointofcare #biotechnology #nanotechnology #iot #AI #sensingsystem #greenchamistry #analyticaltools #diagnostics #research #innovation #collaboration #university #workforcedevelopment #stemeducation

Producers are the owners of big data collected from diverse on-site and remote sources, leveraging Global Navigation Satellite Systems (GNSS). Digital agriculture is harnessing this data using innovative technologies like IoT, image processing, machine learning, wireless sensor networks and big data analytics.   The Simpson Centre’s Alberta Digitalization in Agriculture (ABDIAG) program is spearheading research and collaborations to empower producers and policymakers in Alberta's digital agriculture evolution. The main objective are to:  1) Provide opportunities for improved data literacy. 2) Inform the business model around tech investments and expected ROI. 3) Encourage the adoption of good practices in farming and improvement in efficiencies. 4) Make recommendations on policy instruments that can help improve sector competitiveness, tackle environmental challenges, and encourage data sharing. Stay connected and stay tuned for updates! #cdnag #innovation #agtech #data

Excited to announce that I’ll be presenting at the 2024 International Conference on Control, Automation, and Information Sciences (ICCAIS 2024) in Ho Chi Minh City, Vietnam, from November 26–28! 🌟 On Thursday, November 28, from 15:30–17:00 (Asia/Saigon), I’ll be diving into our research: ✨ An Algebraic Structure for Computing Big Data in Livestream 📍 Co-authored by: Dang Van Pham, Phan Cong-Vinh, Toan Trong Tran, and Nguyen Bao Khang This work introduces an innovative algebraic framework designed to tackle real-time computation challenges in livestream environments. From enhancing scalability to ensuring efficiency, we aim to revolutionize how big data is processed in dynamic contexts. ICCAIS 2024 is an incredible platform bringing together cutting-edge innovations in IoT, machine learning, and automation. I’m looking forward to sharing insights, connecting with brilliant minds, and exploring collaborations that drive the future of technology. If you’re attending, let’s connect! Come to the session, share your thoughts, or simply say hi—these conversations spark the ideas shaping tomorrow. #ICCAIS2024 #BigData #LivestreamComputing #IoT #Innovation #Automation

Join me at IEEE METROIND4.0&IOT 2024 on 30th May in Florence and learn how our Unified AI tools solve the developer's productivity problems through the Core Technology!