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    System-Technology Co-Optimization for Dense Edge Architectures Using 3-D Integration and Nonvolatile Memory by Leandro M. Giacomini Rocha, Mohamed Naeim, Guilherme Paim, Moritz Brunion, Priya Venugopal, Dragomir Milojevic, James Myers, Mustafa Badaroglu, Marian Verhelst, Julien Ryckaert, Dwaipayan Biswas

    Published 2024-01-01
    “…High-performance edge artificial intelligence (Edge-AI) inference applications aim for high energy efficiency, memory density, and small form factor, requiring a design-space exploration across the whole stack—workloads, architecture, mapping, and co-optimization with emerging technology. …”
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    Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning by Olalekan A Uthman, Rachel Court, Jodie Enderby, Lena Al-Khudairy, Chidozie Nduka, Hema Mistry, GJ Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

    Published 2022-11-01
    “…We evaluated the performance of the five deep-learning models [i.e. parallel convolutional neural network (CNN), stacked CNN, parallel-stacked CNN, recurrent neural network (RNN) and CNN–RNN]. …”
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    STACKABLE SURGICAL GUIDES IN FULL-ARCH IMPLANT REHABILITATION: A SYSTEMATIC REVIEW by Adelin Radu, Andreea Mihaela Custura, Doriana Agop Forna, Norina Consuela Forna, Kamel Earar, Vladimir Năstasie, Valentin Daniel Sirbu, Ioan Sirbu

    Published 2025-06-01
    “…So, a second search using only “stackable guide” over the last 10 years yielded 20 articles, with 13 included after screening. A third search using “facially driven treatment planning” identified 15 articles, with 2 meeting inclusion criteria. …”
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