Ryan Nocent’s Post

I am delighted to share that my research paper titled "Rainfall Prediction Using Logistic Regression and Random Forest Algorithm" has been successfully published on IEEE Xplore as part of the 2024 IEEE International Conference on Computing, Power, and Communication Technologies (IC2PCT).A heartfelt thanks to my co-author Manvendra Singh for his invaluable contributions to this work.📝🌍 Delve into the innovative methods and findings shaping rainfall prediction by clicking the link https://lnkd.in/g-AuU4gz . Your insights are invaluable as we pave the way for advancements in weather forecasting! #Research #Publication #IEEE #IC2PCT #RainfallPrediction #ResearchPaper

🚀 Exciting News from Aston University! 🚀 Researchers have set a new benchmark in data transmission, achieving a record-breaking rate of 402 terabits per second using commercially available optical fiber. 🌐 This surpasses their previous milestone of 301 terabits per second, established in March 2024. To put this into perspective, the new speed is over 100 million times faster than the internet connection recommended by Netflix for streaming HD movies. 🎥 The international research team accomplished this feat by utilizing six wavelength bands instead of the conventional one or two, significantly enhancing data sharing capacity. Aston University's pivotal contribution involved the development of U-band Raman amplifiers, which are not commonly available from commercial suppliers. Given the escalating demand for data, this breakthrough holds the potential to maintain stable broadband prices while simultaneously boosting capacity and speed. 💡 Optical fibers, which transmit information using light, are already extensively deployed, making this innovative technique readily applicable. Kudos to the brilliant minds at Aston University! 🏆 #Innovation #DataTransmission #TechBreakthrough #AstonUniversity https://lnkd.in/eUd2At4C

https://lnkd.in/dqN2zeai << ...The European Conference on Computer Vision (ECCV) is a biennial premier research conference in Computer Vision and Machine Learning, managed by the European Computer Vision Association (ECVA)... >>

Using a combination of machine learning and powerful X-rays, Cornell researchers have solved a mystery behind the unusual behavior seen in a class of materials with potential for thermoelectric energy conversion and other applications. Researchers have long shown that the cubic phase of germanium telluride (GeTe) exhibits an unexpected rise in lattice thermal conductivity as its temperature increases. But knowing that a property exists and explaining why it exists are two very different things. Check out the full article by Cornell University here: https://lnkd.in/ev3GDTxT

Excited to share that our paper "Neural Transformers for Bias Detection: Assessing Pakistani News" has been published in the proceedings of the 2024 5th International Conference on Advancements in Computational Sciences (ICACS). Check out our paper in following reading. #SmartSystem #NeuralNetwork #Convbert #ICACS2024

402 Terabits a Second: Researchers Break “World Record” for Data Transmission Speed Aston University researchers and their international team have set a new data transmission record of 402 terabits per second using standard optical fiber, potentially stabilizing broadband costs as demand surges. Researchers at Aston University, collaborating with a team, have achieved a new record by transmitting data at a rate of 402 terabits per second through commercially available optical fiber. This accomplishment surpasses their prior record set in March 2024, where they managed to send data at 301 terabits per second, equivalent to 301,000,000 megabits per second, using a single standard optical fiber. Read more https://lnkd.in/eb7K_NJx

Learn about the representation of #WomenInPhysics and other physical sciences using our updated interactive graphing tool, which compiles degree data from the National Center for Education Statistics. #WomensHistoryMonth https://lnkd.in/ertsyRDw

Another top-level research product from our DIMES joint challenging group on Computer Science/Engineering (led by me) and Control Science/Engineering (led by G. Franzè)!!! This research was partially carried out by our Phd student Francesco Giannini at the UPC in Barcellona supervised by our colleague Vicenç Puig!!! G. Franzè, F. Giannini, V. Puig and G. Fortino, "Embedding the State Trajectories of Nonlinear Systems via Multimodel Linear Descriptions: A Data-Driven-Based Algorithm," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2024.3450601 Just a pill: "...the development of an interdisciplinary methodology that takes advantage of system theory, probabilistic arguments and RL capabilities giving rise to an harmonized architecture in charge to deal with a vast class of nonlinear systems..." Please enjoy and contact us if you have any feedback!!!

Stochastic Thermodynamics and Computer Science Theory

🌟 I am thrilled to announce that our paper "A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking" has been accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 🔍 What you will discover in our study: • A comprehensive review of efficient ViT methodologies emphasizing the mathematical aspects, analyzing state-of-the-art strategies, and comparing their performances on well-known benchmark datasets. • A novel evaluation metric named Efficient Error Rate (EER), which is able to consider all the parameters that can affect a general device at inference time, such as the number of parameters, bits, ... • Some valuable insights for future development and promising research directions. 🙏 Special thanks to my co-authors: • Prof. Paolo Russo • Prof. Irene Amerini • Prof. Luping Zhou 🎓 This project was developed during my enriching Visiting Research period at the University of Sydney, NSW, Australia. 📚 Read our work here - DOI: 10.1109/TPAMI.2024.3392941 https://lnkd.in/g5CxvzWW