Search Results - "neural network"

Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study by Horng-Ruey Chua, Kaiping Zheng, Anantharaman Vathsala, Kee-Yuan Ngiam, Hui-Kim Yap, Liangjian Lu, Ho-Yee Tiong, Amartya Mukhopadhyay, Graeme MacLaren, Shir-Lynn Lim, K Akalya, Beng-Chin Ooi

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PENGEMBANGAN APLIKASI ALAT BANTU PENGENAL NOMINAL MATA UANG RUPIAH BAGI PENYANDANG TUNANETRA MENGGUNAKAN MODEL MOBILENET by Vaditto Luthfan Khaliq, -

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Special Topics in Information Technology

Table of Contents: “…Advances in Wave Digital Modeling of Linear and Nonlinear Systems: a Summary -- Enhancing Indoor Coverage by Multi-Pairs Copper Cables: The Analog MIMO Radio-over-Copper Architecture -- Chirp Generators for Millimeter-Wave FMCW Radars -- Modeling and simulation of spiking neural networks with resistive switching synapses -- Learning and Adaptation to Detect Changes and Anomalies in High-Dimensional Data -- Enhancing Video Recommendation using Multimedia Content -- Dynamic Application Autotuning for Self-Aware Approximate Computing -- CAOS: CAD as an Adaptive Open-platform Service for High Performance Reconfigurable Systems -- A General Framework for Shared Control in Robot Teleoperation with Force and Visual Feedback.…”
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Adaptive Dynamic Programming For Chemotherapy Drug Delivery / by Sun, Jiayue, Xu, Shun, Liu, Yang, Zhang, Huaguang

Table of Contents: “…Preface -- Acknowledgements -- Chapter1 Introduction -- Chapter 2 Neural Networks-Based Immune Optimization Regulation Using Adaptive Dynamic Programming -- Chapter 3 Optimal Regulation Strategy for Nonzero-Sum Games of the Immune System Using Adaptive Dynamic Programming -- Chapter 4 Evolutionary Dynamics Optimal Research-Oriented Tumor Immunity Architecture -- Chapter 5 N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems -- Chapter 6 Combination Therapy-Based Adaptive Control for Organism Using Medicine Dosage Regulation Mechanism.…”
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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018 /

Table of Contents: “…Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project -- Deduction of time-dependent machine tool characteristics by fuzzy-clustering -- Unsupervised Anomaly Detection in Production Lines -- A Random Forest Based Classifer for Error Prediction of Highly Individualized Products -- Web-based Machine Learning Platform for Condition-Monitoring -- Selection and Application of Machine Learning-Algorithms in Production Quality -- Which deep artifificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data -- GPU GEMM-Kernel Autotuning for scalable machine learners -- Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria -- A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance -- Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality -- Enabling Self-Diagnosis of AutomationDevices through Industrial Analytics -- Making Industrial Analytics work for Factory Automation Applications -- Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems -- LoRaWan for Smarter Management of Water Network: From metering to data analysis.…”
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Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study by Maron, Roman C, Utikal, Jochen S, Hekler, Achim, Hauschild, Axel, Sattler, Elke, Sondermann, Wiebke, Haferkamp, Sebastian, Schilling, Bastian, Heppt, Markus V, Jansen, Philipp, Reinholz, Markus, Franklin, Cindy, Schmitt, Laurenz, Hartmann, Daniela, Krieghoff-Henning, Eva, Schmitt, Max, Weichenthal, Michael, von Kalle, Christof, Fröhling, Stefan, Brinker, Titus J

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Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study by Dhanesh Ramachandram, Jose Luis Ramirez-GarciaLuna, Robert D J Fraser, Mario Aurelio Martínez-Jiménez, Jesus E Arriaga-Caballero, Justin Allport

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Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes by Benjamin Joseph Ricard, Saeed Hassanpour

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Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer by Abhishek Mahajan, Gurukrishna B, Shweta Wadhwa, Ujjwal Agarwal, Ujjwal Baid, Sanjay Talbar, Amit Kumar Janu, Vijay Patil, Vanita Noronha, Naveen Mummudi, Anil Tibdewal, JP Agarwal, Subash Yadav, Rajiv Kumar Kaushal, Ameya Puranik, Nilendu Purandare, Kumar Prabhash

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A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1) by Huafei Tang, Jing Xu, Xian Zhang, Chunliang Chen, Ge Song, Rui Ma, Jinjing Zhao, Qiang Zhao

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Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis by Jo-Hsuan Wu, T Y Alvin Liu, Wan-Ting Hsu, Jennifer Hui-Chun Ho, Chien-Chang Lee

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Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study by Wu, Chia-Tung, Li, Guo-Hung, Huang, Chun-Ta, Cheng, Yu-Chieh, Chen, Chi-Hsien, Chien, Jung-Yien, Kuo, Ping-Hung, Kuo, Lu-Cheng, Lai, Feipei

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Forecasting the COVID-19 Epidemic by Integrating Symptom Search Behavior Into Predictive Models: Infoveillance Study by Alessandro Rabiolo, Eugenio Alladio, Esteban Morales, Andrew Ian McNaught, Francesco Bandello, Abdelmonem A Afifi, Alessandro Marchese

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Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology by Petr Kuritcyn, Rosalie Kletzander, Sophia Eisenberg, Thomas Wittenberg, Volker Bruns, Katja Evert, Felix Keil, Paul K. Ziegler, Katrin Bankov, Peter Wild, Markus Eckstein, Arndt Hartmann, Carol I. Geppert, Michaela Benz

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Adverse event profile of memantine and donepezil combination therapy: a real-world pharmacovigilance analysis based on FDA adverse event reporting system (FAERS) data from 2004 to... by Yihan Yang, Sheng Wei, Huan Tian, Huan Tian, Jing Cheng, Yue Zhong, Xiaoling Zhong, Dunbing Huang, Cai Jiang, Cai Jiang, Cai Jiang, Xiaohua Ke

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Combination of Chromatographic Analysis and Chemometric Methods with Bioactivity Evaluation of the Antibacterial Properties of <i>Helichrysum italicum</i> Essential Oil by Tijana Zeremski, Olja Šovljanski, Vladimir Vukić, Biljana Lončar, Milica Rat, Nataša Perković Vukčević, Milica Aćimović, Lato Pezo

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The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review by Laura Swinckels, Frank C Bennis, Kirsten A Ziesemer, Janneke F M Scheerman, Harmen Bijwaard, Ander de Keijzer, Josef Jan Bruers

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An SEM-ANN approach to evaluate public awareness about COVID, A pathway toward adaptation effective strategies for sustainable development by Muhammad Tayyab Sohail, Muhammad Tayyab Sohail, Minghui Yang, Minghui Yang, Petra Maresova, Petra Maresova, Sohaib Mustafa

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An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design by Jinxi Zhang, Zhen Li, Yu Liu, Jian Li, Hualong Qiu, Mohan Li, Guohui Hou, Zhixiong Zhou

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A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery by Zhixiang Wang, Huiqiao Gao, Xinghao Wang, Marcin Grzegorzek, Jinfeng Li, Hengzi Sun, Yidi Ma, Xuefang Zhang, Zhen Zhang, Andre Dekker, Alberto Traverso, Zhenyu Zhang, Linxue Qian, Meizhu Xiao, Ying Feng

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