Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

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Items 401–500 of 1,000

1. Head-and-Neck MRI-only radiotherapy treatment planning: From acquisition in treatment position to pseudo-CT generation
   A. Largent, Louis Marage, I. Gicquiau, Jean‐Claude Nunes, Nick Reynaert, Joël Castelli, É. Chajon, Oscar Acosta, Giulio Gambarota, R. de Crevoisier et al. · 2020 · Cancer/Radiothérapie
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   Thomas O. Hancock, Jan Broekaert, Stephane Hess, Charisma Farheen Choudhury · 2020 · Transportation Research Part B Methodological
3. Assessing fuel economy and NOx emissions of a hydrogen engine bus using neural network algorithms for urban mass transit systems
   Seongsu Kim, Junghwan Kim · 2023 · Energy
4. SdoNet: Speed Odometry Network and Noise Adapter for Vehicle Integrated Navigation
   Xuan Wang, Yuan Zhuang, Xiaoxiang Cao, Qipeng Li, Zhe Wang, Yue Cao, Ruizhi Chen · 2023 · IEEE Internet of Things Journal
5. Analyzing modal power in multi-mode waveguide via machine learning
   Ang Liu, Tianying Lin, Hailong Han, Xiaopei Zhang, Ze Chen, Fuwan Gan, Haibin Lv, Xiaoping Liu · 2018 · Optics Express
6. Deep Neural Network Approach for Predicting the Productivity of Garment Employees
   Abdullah Al Imran, Md Nur Amin, Md Rifatul Islam Rifat, Shamprikta Mehreen · 2019 · International Conference on Control, Decision and Information Technologies (CoDIT)
7. Artificial synaptic transistors based on Schottky barrier height modulation using reduced graphene oxides
   Youngjune Park, Min-Kyu Kim, Jang-Sik Lee · 2020 · Carbon
8. Pain intensity estimation based on a spatial transformation and attention CNN
   Xuwu Xin, Xiaoyan Lin, Sheng-Fu Yang, Xin Zheng · 2020 · PLoS ONE
9. Multimodal fusion diagnosis of the Alzheimer’s disease via lightweight CNN-LSTM model using magnetic resonance imaging (MRI)
   Ejaz Ul Haq, Yong Qin, Yuan Zhou, Huarong Xu, Rizwan Ul Haq · 2025 · Biomedical Signal Processing and Control
10. Classification of 3D Terracotta Warrior Fragments Based on Deep Learning and Template Guidance
    Hongjuan Gao, Guohua Geng · 2019 · IEEE Access
11. Direction-of-Arrival Estimation in the Low-SNR Regime via a Denoising Autoencoder
    Georgios K. Papageorgiou, Mathini Sellathurai · 2020 · IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
12. Deep neural network approach for annual luminance simulations
    Yue Liu, Alex Colburn, Mehlika N. Inanici · 2020 · Journal of Building Performance Simulation
13. Terrain Identification for Humanoid Robots Applying Convolutional Neural Networks
    Murilo Mendonça Venâncio, Rogério Sales Gonçalves, Reinaldo A. C. Bianchi · 2020 · IEEE/ASME Transactions on Mechatronics
14. Automatic Detection of Microsleep Episodes With Deep Learning
    Alexander Malafeev, Anneke Hertig-Godeschalk, David Raphael Schreier, Jelena Skoručak, Johannes Mathis, Peter Achermann · 2021 · Frontiers in Neuroscience
15. Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network
    Iftikhar Ahmad, Syed Muhammad Asad · 2020 · Epidemiology and Infection
16. Inflexible Updating of the Self-Other Divide During a Social Context in Autism: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence
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17. A recurrent neural network framework with an adaptive training strategy for long-time predictive modeling of nonlinear dynamical systems
    Shanwu Li, Yongchao Yang · 2021 · Journal of Sound and Vibration
18. Convolutional Neural Network for Histopathological Osteosarcoma Image Classification
    Imran Ahmed, Humaira Sardar, Hanan Aljuaid, Fakhri Alam Khan, Muhammad Nawaz, Awais Adnan · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
19. Predicting subcellular location of protein with evolution information and sequence-based deep learning
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20. Structured Sparse Coding With the Group Log-regularizer for Key Frame Extraction
    Zhenni Li, Yujie Li, Benying Tan, Shuxue Ding, Shengli Xie · 2022 · IEEE/CAA Journal of Automatica Sinica
21. EnsembleSplice: ensemble deep learning model for splice site prediction
    Victor Akpokiro, Trevor Martin, Oluwatosin Oluwadare · 2022 · BMC Bioinformatics
22. A Proposed New Endpoint Detection and Response With Image-Based Malware Detection System
    Tran Hoang Hai, Vu Van Thieu, Tran Thai Duong, Hong Hoa Nguyen, Eui‐Nam Huh · 2023 · IEEE Access
23. DeepKhib: A Deep-Learning Framework for Lysine 2-Hydroxyisobutyrylation Sites Prediction
    Luna Zhang, Yang Zou, Ningning He, Yu Chen, Zhen Chen, Lei Li · 2020 · Frontiers in Cell and Developmental Biology
24. Recurrent neural circuits for contour detection
    Drew A. Linsley, Junkyung Kim, Alekh Karkada Ashok, Serre, Thomas · 2020 · arXiv (Cornell University)
25. Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
    Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo · 2021 · arXiv (Cornell University)
26. A Smoke Detection Algorithm Based on Improved YOLO v7 Lightweight Model for UAV Optical Sensors
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27. Nonlinear and linear conductance modulation and synaptic plasticity in stable tin-zinc oxide based-memristor for neuro-inspired computing
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28. Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing
    Minrui Zheng, Wenwu Tang, Xiang Zhao · 2018 · International Journal of Geographical Information Systems
29. Deep Learning–Based Multimedia Analytics
    Wei Zhang, Ting Yao, Shiai Zhu, Abdulmotaleb El Saddik · 2019 · ACM Transactions on Multimedia Computing Communications and Applications
30. Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
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31. PSigmoid: Improving squeeze-and-excitation block with parametric sigmoid
    Ying Yao, Nengbo Zhang, Peng Shan, Ligang Miao, Peng Sun, Silong Peng · 2021 · Applied Intelligence
32. Highly accurate heart failure classification using carbon nanotube thin film biosensors and machine learning assisted data analysis
    Zilei Guo, Renfang Tian, Wenzuo Xu, Darren Yip, Mary Radyk, Francesca Brillantes Santos, Amelia Ming Ching Yip, Tao Chen, Xiaowu Shirley Tang · 2022 · Biosensors and Bioelectronics X
33. NIPUNA: A Novel Optimizer Activation Function for Deep Neural Networks
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34. Machine Learning-Based Patient Load Prediction and IoT Integrated Intelligent Patient Transfer Systems
    Kambombo Mtonga, Santhi Kumaran, Chomora Mikeka, Kayalvizhi Jayavel, Jimmy Nsenga · 2019 · Future Internet
35. A new type artificial synapse based on the organic copolymer memcapacitor
    Ruxin Liu, Ruixin Dong, Shuchao Qin, Xunling Yan · 2020 · Organic Electronics
36. Evaluating Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition
    Ke Hu Xu, Jiangtao Wang, Hongyuan Zhu, Dingchang Zheng · 2025 · ACM Transactions on Sensor Networks
37. A hybrid residual neural network–Monte Carlo approach to invert surface wave dispersion data
    Mattia Aleardi, E. Stucchi · 2021 · Near Surface Geophysics
38. A computational study on the optimization of transcranial temporal interfering stimulation with high‐definition electrodes using unsupervised neural networks
    Sang-Kyu Bahn, Chany Lee, Bo‐Yeong Kang · 2022 · Human Brain Mapping
39. Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method
    Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang · 2018 · IEEE Transactions on Knowledge and Data Engineering
40. Improved image classification with 4D light-field and interleaved convolutional neural network
    Zhicheng Lu, Henry Wing Fung Yeung, Qiang Qu, Yuk Ying Chung, Xiaoming Chen, Zhibo Chen · 2018 · Multimedia Tools and Applications
41. A Generic Human–Machine Annotation Framework Based on Dynamic Cooperative Learning
    Yue Zhang, Andrea Michi, Johannes Wagner, Elisabeth André, Björn Wolfgang Schuller, Felix Johannes Weninger · 2019 · IEEE Transactions on Cybernetics
42. Wearables-Driven Freeform Handwriting Authentication
    Isaac Griswold-Steiner, Richard Matovu, Abdul Serwadda · 2019 · IEEE Transactions on Biometrics Behavior and Identity Science
43. Data Programming for Learning Discourse Structure
    Sonia Badene, Kate Thompson, J. Lorré, Nicholas Asher · 2019 · Annual Meeting of the Association for Computational Linguistics
44. Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis
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45. Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach
    Junaed Younus Khan, Md. Tawkat Islam Khondaker, Iram Tazim Hoque, Hamada R. H. Al-Absi, Mohammad Saifur Rahman, Reto Guler, Tanvir Alam, M. Sohel Rahman · 2020 · JMIR Medical Informatics
46. Hy-NLI: a Hybrid system for Natural Language Inference
    Aikaterini-Lida Kalouli, Richard Crouch, Valeria de Paiva · 2020 · International Conference on Computational Linguistics
47. Hierarchically modelling Kepler dwarfs and subgiants to improve inference of stellar properties with asteroseismology
    Alexander J Lyttle, G. R. Davies, Tanda Li, Lindsey Carboneau, Ho-Hin Leung, Harry Westwood, W. J. Chaplin, Oliver J. Hall, Daniel Huber, Martin Bo Nielsen et al. · 2021 · Monthly Notices of the Royal Astronomical Society
48. Memristor based on α-In2Se3 for emulating biological synaptic plasticity and learning behavior
    Ying Zhao, Yifei Pei, Zichang Zhang, Xiaoyu Li, Jingjuan Wang, Lei Yan, Hui Min He, Zhenyu Zhou, Jianhui Zhao, Jingsheng Chen et al. · 2022 · Science China Materials
49. Neural Networks and Deep Learning
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50. Spiking inputs to a winner-take-all network
    Matthias Oster, Shih‐Chii Liu · 2005
51. Dynamics of Deterministic and Stochastic Paired Excitatory—Inhibitory Delayed Feedback
    Carlo R. Laing, André Longtin · 2003 · Neural Computation
52. Machine Learning and Deep Learning Models for Nocturnal High- and Low-Glucose Prediction in Adults with Type 1 Diabetes
    Roman M. Kozinetz, Vladimir Berikov, Julia F. Semenova, Vadim Valer'evich Klimontov · 2024 · Diagnostics
53. MSGFormer: Revolutionizing Traffic Flow Prediction With Multiscale and Gated Transformer Architecture
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54. Synchronization-based computation through networks of coupled oscillators
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55. Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
    Hwiyeol Jo, Ceyda Cinarel · 2019 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
56. Automatic Monitoring of Chicken Movement and Drinking Time Using Convolutional Neural Networks
    Chen-Yi Lin, Kuang-Wen Hsieh, Yao-Chuan Tsai, Yan‐Fu Kuo · 2020 · Transactions of the ASABE
57. Long Multi-digit Number Recognition from Images Empowered by Deep Convolutional Neural Networks
    Muhammad Asif, Maaz Bin Ahmad, Shiza Mushtaq, Khalid Masood, Toqeer Mahmood, Arfan Ali Nagra · 2021 · The Computer Journal
58. Skin lesion detection using an ensemble of deep models: SLDED
    Ali Shahsavari, Toktam Khatibi, Sima Ranjbari · 2022 · Multimedia Tools and Applications
59. A computational feature binding model of human texture perception
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60. Development of a Prediction Model for Colorectal Cancer among Patients with Type 2 Diabetes Mellitus Using a Deep Neural Network
    Meng-Hsuen Hsieh, Li‐Min Sun, Cheng‐Li Lin, Meng-Ju Hsieh, Kyle Sun, Chung Y. Hsu, An‐Kuo Chou, Chia‐Hung Kao · 2018 · Journal of Clinical Medicine
61. Application of a Deep Learning Technique to the Development of a Fast Accident Scenario Identifier
    Hyeonmin Kim, Jae‐Hyun Cho, Jinkyun Park · 2020 · IEEE Access
62. Prediction of Gait Cycle Percentage Using Instrumented Shoes with Artificial Neural Networks
    Antonio Prado, Xiya Cao, Xiangzhuo Ding, Sunil Kumar Agrawal · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
63. Application of fully convolutional neural networks for feature extraction in fluid flow
    Babak Kashir, Marco Ragone, Ajaykrishna Ramasubramanian, Vitaliy Yurkiv, Farzad Mashayek · 2021 · Journal of Visualization
64. Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons
    Huajin Tang, Kay Chen Tan, Weinian Zhang · 2004 · Neural Computation
65. Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction
    Matthias Kerzel, Stefan Wermter · 2017 · Lecture notes in computer science
66. Probabilistic Models with Deep Neural Networks
    Andrés R. Masegosa, Rafael Cabañas, Helge Langseth A, Thomas D. Nielsen, Antonio Salmerón · 2021 · Entropy
67. Learning decision boundaries for cone penetration test classification
    Georg H. Erharter, Simon Oberhollenzer, Anna Fankhauser, Roman Marte, Thomas Marcher · 2021 · Computer-Aided Civil and Infrastructure Engineering
68. TanhSoft—Dynamic Trainable Activation Functions for Faster Learning and Better Performance
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69. A data-driven approach to predicting the anisotropic mechanical behaviour of voided single crystals
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70. Prediction on the freeze-thaw resistance of a one-part geopolymer stabilized soil by using deep learning method
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71. Multistability and complete convergence analysis on high-order neural networks with a class of nonsmooth activation functions
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72. Dense neural networks for predicting chromatin conformation
    Pau Farré, Alexandre Heurteau, Olivier Cuvier, Eldon G. Emberly · 2018 · BMC Bioinformatics
73. Automatic image-domain Moiré artifact reduction method in grating-based x-ray interferometry imaging
    Jianwei Chen, Jiongtao Zhu, Zhicheng Li, Wei Shi, Qiyang Zhang, Zhanli Hu, Hairong Zheng, Dong Liang, Yongshuai Ge · 2019 · Physics in Medicine and Biology
74. RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy
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75. Memristor‐Based Biologically Plausible Memory Based on Discrete and Continuous Attractor Networks for Neuromorphic Systems
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76. Using Dimensionality Reduction and Clustering Techniques to Classify Space Plasma Regimes
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77. Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection
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78. An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism
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79. An Efficient Hardware Architecture for Activation Function in Deep Learning Processor
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80. Deep Reinforcement Learning for Long Term Hydropower Production Scheduling
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81. Application of Deep Neural Network to the Reconstruction of Two-Phase Material Imaging by Capacitively Coupled Electrical Resistance Tomography
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82. Research on non-intrusive unknown load identification technology based on deep learning
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83. Core motifs predict dynamic attractors in combinatorial threshold-linear networks
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84. Exploring a Pricing Model for Urban Rental Houses from a Geographical Perspective
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85. Generalized hamming networks and applications
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86. Evaluating the generalisation capability of a CMOS based synapse
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87. KCNN: Extremely-Efficient Hardware Keypoint Detection with a Compact Convolutional Neural Network
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88. Hyperspectral Remote Sensing of Phytoplankton Species Composition Based on Transfer Learning
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89. Habituation as a neural algorithm for online odor discrimination
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90. Machine-learning-based data recovery and its contribution to seismic acquisition: Simultaneous application of deblending, trace reconstruction, and low-frequency extrapolation
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91. Sequential Attractors in Combinatorial Threshold-Linear Networks
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92. Feature Competition in a Spike-Based Winner-Take-All VLSI Network
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93. New Aspects of Axonal Structure and Function
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94. A Probabilistic Formulation of Keyword Spotting
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95. Industrial Scale Privacy Preserving Deep Neural Network
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96. Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control
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97. A new attention-based LSTM model for closing stock price prediction
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98. Attention-Based Two-Stage U-Net Horizon Tracking
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99. Ion‐Mediated Recombination Dynamics in Perovskite‐Based Memory Light‐Emitting Diodes for Neuromorphic Control Systems
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100. Biologically inspired oscillating activation functions can bridge the performance gap between biological and artificial neurons
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