Search Results - "neural network"

Analyzing the opinions and emotions of Internet customers using deep ensemble learning based on rbm by Sara Hajighorbani, Changiz Valmohammadi, Kiamars Fathi Hafshejani

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Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning by Liangxu Xie, Liangxu Xie, Lei Xu, Ren Kong, Shan Chang, Xiaojun Xu

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A Transfer Learning Method for Detecting Alzheimer's Disease Based on Speech and Natural Language Processing by Ning Liu, Ning Liu, Kexue Luo, Zhenming Yuan, Yan Chen

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CNN-based YOLOv3 comparison for underwater object detection / Mohamed Syazwan Asyraf ...[et al.] by Asyraf, Mohamed Syazwan, Isa, Iza Sazanita, Marzuki, Mohd Ikhmal Fitri, Sulaiman, Siti Noraini, Hung, Chin Chang

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Mathvision prototype using predictive analytics / Yuzi Mahmud ... [et al.] by Mahmud, Yuzi, Abdul Razak, Muhd Syahir, Abdul-Rahman, Shuzlina, Hanafiah, Mastura, Suhaimi, Amien Ashraf

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Upaya Penurunan Nyeri Pada Pasien Post Orif Fraktur Cruris Dekstra by Aji Nugraha, Asfan, , Fahrun Nur Rosyid, S. Kep, Ns, M. Kes, , Okti Sri Purwanti, S.Kep, Ns, M.Kep, Ns, Sp.Kep. MB

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IDENTIFIKASI CITRA WAJAH SESEORANG BERDASARKAN WARNA KULIT MENGGUNAKAN MACHINE LEARNING by Indah Mutia Hapsari, -

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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020 /

Table of Contents: “…Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial ExampleAttacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data.…”
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Natural Computing and Beyond Winter School Hakodate 2011, Hakodate, Japan, March 2011 and 6th International Workshop on Natural Computing, Tokyo, Japan, March 2012, Proceedings /

Table of Contents: “…Natural Computing -- Ethological response to periodic stimulation in Chara and Brepharisma -- Adaptive path-finding and transport network formation by the amoeba-like organism Physarum -- Aggregate "Calculation" in Economic Phenomena: Distributions and Fluctuations -- Towards Co-evolution of Information, Life and Artifcial Life -- Harness the Nature for Computation -- Things Theory of Art Should Learn From Natural Computing -- Study on the use of Evolutionary Techniques for inference in Gene Regulatory Networks -- Reconstruction of Gene Regulatory Networks from Gene Expression Data using Decoupled Recurrent Neural Network Model -- Design and control of synthetic biological systems -- Satellite Symposium on Computational Aesthetics -- Preface-Natural Computing and Computational Aesthetics -- The Significance of Natural Computing for Considering Computational Aesthetics of Nature -- Perceiving the Gap: asynchronous coordination of plural algorithms and disconnected logical types in ambient space -- Aesthetic Aspects of Technology-mediated Self-awareness Experiences.…”
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AI based Robot Safe Learning and Control by Zhou, Xuefeng, Xu, Zhihao, Li, Shuai, Wu, Hongmin, Cheng, Taobo, Lv, Xiaojing

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Sensor Systems for Gesture Recognition

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Computational Intelligence Application in Electrical Engineering

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Diagnostic model based on bioinformatics and machine learning to distinguish Kawasaki disease using multiple datasets by Mengyi Zhang, Bocuo Ke, Huichuan Zhuo, Binhan Guo

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GTX.Digest.VCF: an online NGS data interpretation system based on intelligent gene ranking and large-scale text mining by Yanhuang Jiang, Chengkun Wu, Yanghui Zhang, Shaowei Zhang, Shuojun Yu, Peng Lei, Qin Lu, Yanwei Xi, Hua Wang, Zhuo Song

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MF-SuP-pKa: Multi-fidelity modeling with subgraph pooling mechanism for pKa prediction by Jialu Wu, Yue Wan, Zhenxing Wu, Shengyu Zhang, Dongsheng Cao, Chang-Yu Hsieh, Tingjun Hou

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Predicting ICU survival: A meta-level approach by Stamoulis Konstantinos, Ilias Ioannis, Sakellaropoulos Filippos, Gortzis Lefteris G, Dimopoulou Ioanna

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Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm by Ayça Kurt, Dilara Nil Günaçar, Fatma Yanık Şılbır, Zeynep Yeşil, İbrahim Şevki Bayrakdar, Özer Çelik, Elif Bilgir, Kaan Orhan

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Assessing Consciousness in Patients With Disorders of Consciousness Using a Musical Stimulation Paradigm and Verifiable Criteria by Jiahui Pan, Yue Chen, Qiuyi Xiao, Zerong Chen, Honghua Cai, Qi You, Lina Qiu, Qiuyou Xie

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Signal mining and analysis of trifluridine/tipiracil adverse events based on real-world data from the FAERS database by Yongli Hu, Yongli Hu, Yan Du, Zhisheng Qiu, Chenglou Zhu, Junhong Wang, Tong Liang, Tianxiang Liu, Mingxu Da, Mingxu Da

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A hybrid MCDM approach based on combined weighting method, cloud model and COPRAS for assessing road construction workers' safety climate by Jing Cai, Yihui Hu, Yiming Peng, Fengxiang Guo, Jian Xiong, Ran Zhang

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