Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…Given the advancements in technology, User Equipment (UE) can now process multiple computing tasks simultaneously, and since UEs can have multiple data sources that are suitable for various FL tasks, multiple tasks FL could be a promising way to respond to different application requests at the same time. …”
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Exhaustive search for novel multicomponent alloys with brute force and machine learning by Viktoriia Zinkovich, Vadim Sotskov, Alexander Shapeev, Evgeny Podryabinkin

“…Abstract We present an algorithm for the high-throughput computational discovery of intermetallic compounds in systems with a large number of components. …”
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The Eps8/IRSp53/VASP network differentially controls actin capping and bundling in filopodia formation. by Federico Vaggi, Andrea Disanza, Francesca Milanesi, Pier Paolo Di Fiore, Elisabetta Menna, Michela Matteoli, Nir S Gov, Giorgio Scita, Andrea Ciliberto

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Nowcasting the 2022 mpox outbreak in England. by Christopher E Overton, Sam Abbott, Rachel Christie, Fergus Cumming, Julie Day, Owen Jones, Rob Paton, Charlie Turner, Thomas Ward

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A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium. by Oliver J Maclaren, Aimée Parker, Carmen Pin, Simon R Carding, Alastair J M Watson, Alexander G Fletcher, Helen M Byrne, Philip K Maini

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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

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Application of evolutionary deep learning algorithm in construction engineering management system by Zhe Yang

“…Designed the structure, logical structure, and functional modules of the management system. The design process can provide experience for the design of similar management systems. …”
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Detailed Per-residue Energetic Analysis Explains the Driving Force for Microtubule Disassembly. by Ahmed T Ayoub, Mariusz Klobukowski, Jack A Tuszynski

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A dynamical model reveals gene co-localizations in nucleus. by Jing Kang, Bing Xu, Ye Yao, Wei Lin, Conor Hennessy, Peter Fraser, Jianfeng Feng

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Theory on the coupled stochastic dynamics of transcription and splice-site recognition. by Rajamanickam Murugan, Gabriel Kreiman

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3D reconstruction and standardization of the rat vibrissal cortex for precise registration of single neuron morphology. by Robert Egger, Rajeevan T Narayanan, Moritz Helmstaedter, Christiaan P J de Kock, Marcel Oberlaender

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VR interactive input system based on INS and binocular vision fusion by Hongxia Zhao, Bei Wang

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A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare by Siddhesh Fuladi, D. Ruby, N. Manikandan, Animesh Verma, M. K. Nallakaruppan, Shitharth Selvarajan, Shitharth Selvarajan, Shitharth Selvarajan, Preeti Meena, V. P. Meena, Ibrahim A. Hameed

“…This research also discusses the benefits of federated learning, including efficient time management, parallel processing, secure model updates, and enhanced data privacy, while addressing limitations such as computational overhead. …”
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Spatial identification of manipulable objects for a bionic hand prosthesis by Yurii LOBUR, Kostiantyn VONSEVYCH, Natalia BEZUGLA

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Large language models for depression recognition in spoken language integrating psychological knowledge by Yupei Li, Shuaijie Shao, Manuel Milling, Manuel Milling, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller

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Accelerating crystal structure search through active learning with neural networks for rapid relaxations by Stefaan S. P. Hessmann, Kristof T. Schütt, Niklas W. A. Gebauer, Michael Gastegger, Tamio Oguchi, Tomoki Yamashita

“…Abstract Global optimization of crystal compositions is a significant yet computationally intensive method to identify stable structures within chemical space. …”
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A study on an efficient OSS inspection scheme based on encrypted GML by Seok-Joon Jang, Im-Yeong Lee, Daehee Seo, Su-Hyun Kim

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COVID-19 detection from chest CT images using optimized deep features and ensemble classification by Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib, Mir Mohammad Azad, Wahidur Rahman, A.S.M. Shafi, Mohammad Motiur Rahman

“…The fused features of VGG-19 and ResNet-50, processed with PCA and MVEC, provide the best outcomes of accuracy, specificity, sensitivity, and precision at 98.51 %, 97.58 %, 99.49 %, and 97.47 %, respectively, after 5-fold cross-validation for the proposed method.…”
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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats by Motahareh Dehghan, Erfan Khosravain

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Data-driven integration of synthetic representative volume elements and machine learning for improved microstructure-property linkage and material performance in ceramics by Mohammad Rezasefat, James Hogan

“…A data-driven approach has been employed, utilizing synthetic Representative Volume Elements (RVEs) derived from X-ray computed tomography scans of ceramics. The methodology involves an automated finite element (FE) simulation process for progressive failure analysis under uniaxial compression and tension. …”
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