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• Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks?
  crossref Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara 2024-09-09T17:35:05Z 置信度 0.70
• An Efficient Fixed-Point Spiking Neural Network Training Architecture with Reconfigurable Processing Elements and Dynamic Clocks
  crossref Zhenhui Dai, Li Lun, Cheng Zhao, Tingting Zhong 等 2026-01-14T20:38:47Z 置信度 0.70
• Multi-Task Spiking Neural Network for Simultaneous Vapor Recognition and Concentration Estimation
  crossref Pedro Sartori Locatelli, Salma Ait Fares, Dalton Martini Colombo, Kamal El-Sankary 等 2025-02-13T18:43:51Z 置信度 0.70
• Stacks of Software Stacks
  crossref Andrew Rowley, Oliver Rhodes, Petrut Bogdan, Christian Brenninkmeijer 等 2026-08-04T15:37:20Z 置信度 0.70
• A review of methods for spike sorting: the detection and classification of neural action potentials
  crossref Michael S Lewicki 2015-08-18T16:04:59Z 置信度 0.70
• Synchronization in a Network of Spiking Neural Oscillators with Plastic Connectivity
  crossref M. V. Bazhanova, N. P. Krylova, V. B. Kazantsev, A. E. Khramov 等 2021-02-18T18:47:00Z 置信度 0.70
• Eco - SNNRFD: Energy-Conscious Spiking Neural Network with River Formation Dynamics Framework for Flying Ad Hoc Networks
  crossref B. Narasimhan, D. Hari Prasad, S. Thavamani, B. Ramesh Kumar 等 2026-02-24T20:55:40Z 置信度 0.70
• Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
  crossref Rachmad Vidya Wicaksana Putra, Muhammad Shafique 2021-09-20T21:27:41Z 置信度 0.70
• Hardware Implementation of Integration-and-Fire Neuron Circuit on FPGA and Performance Evaluation for Applications in Spiking Neural Network
  crossref Yeji Lee, Arati Kumari Shah, Myounggon Kang, Seongjae Cho 2025-05-07T04:24:59Z 置信度 0.70
• Training and Inference using Approximate Floating-Point Arithmetic for Energy Efficient Spiking Neural Network Processors
  crossref Myeongjin Kwak, Jungwon Lee, Hyoju Seo, Mingyu Sung 等 2021-03-10T22:01:44Z 置信度 0.70
• A Spiking Neural Network for Visual Causal Inference with the Hidden Markov Model
  crossref Ruihuan Ren, Pengcheng Cui, Jinping Yuan, Jiaheng Song 等 2026-03-31T09:45:02Z 置信度 0.70
• Statistical Analysis of Synaptic Weights in Spiking Neural Network Trained on the DVS128 Gesture Dataset
  crossref Jelena Nikolić, Stefan Tomić, Aleksandra Jovanović, Zoran Perić 等 2025-12-02T18:45:59Z 置信度 0.70
• Neuromorphic Spiking Neural Network-Based Explainable AI for Energy-Efficient, Quantum-Resistant Dynamic Access Control Systems with Temporal Causal Traceability
  crossref Vishnukumar A, Dinesh B, Harini Pachaiyappan, Govarthan V 等 2026-02-20T21:13:05Z 置信度 0.70
• Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding
  crossref Bing Han, Kaushik Roy 2020-11-06T03:04:11Z 置信度 0.70
• Simulation of bayesian learning and inference on distributed stochastic spiking neural networks
  crossref Khadeer Ahmed, Amar Shrestha, Qinru Qiu 2016-11-08T16:15:56Z 置信度 0.70
• Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
  crossref Biswadeep Chakraborty, Saibal Mukhopadhyay 2024-09-09T17:35:05Z 置信度 0.70
• Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking
  An integral equation describing the time evolution of the population activity in a homogeneous pool of spiking neurons of the integrate-and-fire type is discussed. It is analytically shown that transients from a state of incoherent firing can be immediate. The…
  crossref Wulfram Gerstner 2002-07-27T11:57:56Z 置信度 0.70
• Spiking Neural-Networks-Based Data-Driven Control
  Machine learning can be effectively applied in control loops to make optimal control decisions robustly. There is increasing interest in using spiking neural networks (SNNs) as the apparatus for machine learning in control engineering because SNNs can potentia…
  crossref Yuxiang Liu, Wei Pan 2023-01-09T04:42:17Z 置信度 0.70
• Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks
  ABSTRACT Reinforcement learning is a learning paradigm that can account for how organisms learn to adapt their behavior in complex environments with sparse rewards. However, implementations in spiking neuronal networks typically rely on input architectures inv…
  crossref Philipp Weidel, Renato Duarte, Abigail Morrison 2020-03-19T03:05:16Z 置信度 0.70
• A study on self organization of spiking neural network
  crossref Kenji IWADATE, Ikuo SUZUKI, Michiko WATANABE, Masashi FURUKAWA 2019-12-24T22:22:07Z 置信度 0.70
• HYBRID DEEP SPIKING NEURAL PRINCIPAL COMPONENT ANALYSIS NETWORK FOR DIABETIC RETINOPATHY DETECTION USING RETINAL FUNDUS IMAGE
  Diabetic Retinopathy (DR) is a common retinal vascular disease to injure the retinal blood vessels. DR causes the vision-related disorder without showing any symptoms. As the condition becomes more severe, it can result the partial or complete vision loss. Num…
  crossref Kavita Tallusing Rathod-Jadhav, Aparna Sachin Pande 2025-03-23T23:14:21Z 置信度 0.70
• Spiking neural network tactile classification method with faster and more accurate membrane potential representation
  Abstract Robot perception is an important topic in artificial intelligence field, and tactile recognition in particular is indispensable for human–computer interaction. Efficiently classifying data obtained by touch sensors has long been an issue. In recent ye…
  crossref Jing Yang, Zukun Yu, Xiaoyang Ji, Zhidong Su 等 2024-11-22T06:07:36Z 置信度 0.70
• A spiking network model of the cerebellum for predicting movements with diverse complex spikes
  crossref Tomohiro Mitsuhashi, Yusuke Kuniyoshi, Koji Ikezoe, Kazuo Kitamura 等 2025-08-13T06:45:30Z 置信度 0.70
• Spike-Weighted Spiking Neural Network with Spiking Long Short-Term Memory: A Biomimetic Approach to Decoding Brain Signals
  Background. Brain–machine interfaces (BMIs) offer users the ability to directly communicate with digital devices through neural signals decoded with machine learning (ML)-based algorithms. Spiking Neural Networks (SNNs) are a type of Artificial Neural Network …
  crossref Kyle McMillan, Rosa Qiyue So, Camilo Libedinsky, Kai Keng Ang 等 2024-04-12T09:28:06Z 置信度 0.70
• A fully pipelined FPGA-based accelerator of spiking neural network for SAR image recognition
  crossref Bin Lan, Ming Xu, Xi Zhang, Hao Shi 等 2026-07-09T13:42:16Z 置信度 0.70
• Encoding specificity of scale-free spiking neural network under different external stimulations
  crossref Lei Guo, LiTing Hou, YouXi Wu, Huan Lv 等 2020-08-31T11:26:33Z 置信度 0.70
• EVOLVING SPIKING NEURAL NETWORK TOPOLOGIES FOR BREAST CANCER CLASSIFICATION IN A DIELECTRICALLY HETEROGENEOUS BREAST
  crossref Martin O'Halloran, Seamus Cawley, Brian McGinley, Raquel Cruz Conceicao 等 2015-01-13T00:02:39Z 置信度 0.70
• Application of memristor-based spiking neural network in image edge extraction
  By simulating biological synapses with memristors according to the function and principle of biological visual system and by combining the memory characteristic of memristor with high-efficient processing ability in spiking neural network, a three-layer spikin…
  crossref Liu Yu-Dong, Wang Lian-Ming 2020-12-13T00:42:30Z 置信度 0.70
• Designing Networks of Spiking Silicon Neurons and Synapses
  crossref Lloyd Watts 2011-11-19T14:48:16Z 置信度 0.70
• LatenZy, non-parametric, binning-free estimation of latencies from neural spiking data
  Precisely estimating the onset of neural spiking responses and the timing at which activity begins to diverge between conditions is crucial for understanding temporal dynamics in brain information processing. Conventional methods require arbitrary parameter ch…
  crossref Robin Haak, J. Alexander Heimel 2025-07-04T17:41:00Z 置信度 0.70
• Hyper-S3NN: Spatial–spectral spiking neural network for hyperspectral image classification
  crossref Jiangyun Li, Haoran Shen, Wenxuan Wang, Peixian Zhuang 等 2024-02-28T11:13:37Z 置信度 0.70
• Achieving More with Less: Training a Spiking Neural Network of 40.000 Neurons with Rank Order Coding, Leveraging Sparsity
  crossref Ria Talukder, Anas Skalli, Daniel Brunner 2025-08-15T18:11:27Z 置信度 0.70
• Applications of Spiking Neural Network to Predict Software Reliability
  crossref Ramakanta Mohanty, Aishwarya Priyadarshini, Vishnu Sai Desai, G. Sirisha 2018-04-09T23:47:23Z 置信度 0.70
• Residual Spiking Neural Network on a Programmable Neuromorphic Hardware for Speech Keyword Spotting
  crossref Chenglong Zou, Xiaoxin Cui, Shuo Feng, Guang Chen 等 2022-12-01T20:52:39Z 置信度 0.70
• General spiking neural network framework for the learning trajectory from a noisy mmWave radar
  Abstract Emerging usages for millimeter wave (mmWave) radar have drawn extensive attention and inspired the exploration of learning mmWave radar data. To be effective, instead of using conventional approaches, recent works have employed modern neural network m…
  crossref Xin Liu, Mingyu Yan, Lei Deng, Yujie Wu 等 2022-08-10T22:17:35Z 置信度 0.70
• A 4096-Neuron 1M-Synapse 3.8PJ/SOP Spiking Neural Network with On-Chip STDP Learning and Sparse Weights in 10NM FinFET CMOS
  crossref Gregory K. Chen, Raghavan Kumar, H. Ekin Sumbul, Phil C. Knag 等 2018-11-16T03:04:38Z 置信度 0.70
• Retraction Note: A novel multi-layer multi-spiking neural network for EEG signal classification using Mini Batch SGD
  crossref M. Ramesh, Swetha Revoori, Damodar Reddy Edla, K. V. D. Kiran 2024-08-22T12:45:45Z 置信度 0.70
• Unsupervised SFQ-Based Spiking Neural Network
  crossref Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah, Mehdi Kamal 等 2024-02-20T19:03:35Z 置信度 0.70
• Review of Analog Neuron Devices for Hardware-based Spiking Neural Networks
  crossref Dongseok Kwon, Sung-Yun Woo, Jong-Ho Lee 2022-05-01T20:38:58Z 置信度 0.70
• Classified Vpn Network Traffic Flow Using Time Related to Artificial Neural Network
  Abstract In the rapidly evolving landscape of cybersecurity threats, Virtual Private Networks (VPNs) have become an essential tool for securing communication channels. However, the rising complexity and diversity of network attacks call for more sophisticated …
  crossref Saad Abdalla Agaili MOHAMED, Sefer KURNAZ 2023-10-24T15:43:58Z 置信度 0.70
• Event management for large scale event-driven digital hardware spiking neural networks
  crossref Louis-Charles Caron, Michiel D’Haene, Frédéric Mailhot, Benjamin Schrauwen 等 2013-03-06T17:16:16Z 置信度 0.70
• Dual threshold based neural modeling to study systems of spiking neurons
  crossref J.J. Lovelace, K.J. Cios 2005-02-28T16:14:54Z 置信度 0.70
• Stationary Bumps in Networks of Spiking Neurons
  We examine the existence and stability of spatially localized “bumps” of neuronal activity in a network of spiking neurons. Bumps have been proposed in mechanisms of visual orientation tuning, the rat head direction system, and working memory. We show that a b…
  crossref Carlo R. Laing, Carson C. Chow 2002-07-27T11:55:01Z 置信度 0.70
• Energy-efficient craters detection based on spiking neural network using digital elevation models
  crossref Keke Zha, Jiabin Yuan, Lili Fan, Xu Liu 等 2024-03-11T04:58:18Z 置信度 0.70
• A novel label-aware global graph construction method and spiking-coded graph neural network for intelligent process fault diagnosis
  crossref Dazi Li, Yurui Zhu, Zhihuan Song, Hamid Reza Karimi 2024-10-04T22:48:10Z 置信度 0.70
• Neural spiking dynamics in asynchronous digital circuits
  crossref Nabil Imam, Kyle Wecker, Jonathan Tse, Robert Karmazin 等 2014-01-10T15:08:44Z 置信度 0.70
• Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks
  crossref Hongzhi Wang, Xiubo Liang, Jinxing Han, Weidong Geng 2026-08-06T14:44:29Z 置信度 0.70
• A Spiking Neural Network Model of the Lateral Geniculate Nucleus on the SpiNNaker Machine
  crossref Basabdatta Sen-Bhattacharya, Teresa Serrano-Gotarredona, Lorinc Balassa, Akash Bhattacharya 等 2017-08-09T04:03:43Z 置信度 0.70
• Quantum-Dot Laser Assisted Spiking Neural Networks
  crossref Dimitris Syvridis, Charis Mesaritakis 2018-08-17T20:17:05Z 置信度 0.70
• A Proposal of Energy Efficient Ferroelectric PDSOI LIF Neuron for Spiking Neural Network Applications
  crossref P Sowparna, V Rajakumari, K P Pradhan 2022-01-21T21:59:05Z 置信度 0.70
• Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability
  Abstract Virtual Reality (VR) allows users to interact with 3D immersive environments and has the potential to be a key technology across many domain applications, including access to a future metaverse. Yet, consumer adoption of VR technology is limited by cy…
  crossref Alexander Hui Xiang Yang, Nikola Kirilov Kasabov, Yusuf Ozgur Cakmak 2023-07-12T13:02:04Z 置信度 0.70
• Frontiers of Spiking Neural Network Encoding Techniques: A Comprehensive Review
  crossref Yuze Li, Xingyue Zhang, Hao Cheng, Shaoting Guo 等 2025-07-14T13:55:42Z 置信度 0.70
• Slow ramping emerges from spontaneous fluctuations in spiking neural networks
  Abstract Highlights 1. We reveal a mechanism for slow-ramping signals before spontaneous voluntary movements. 2. Slow synapses stabilize spontaneous fluctuations in spiking neural network. 3. We validate model predictions in human frontal cortical single-neuro…
  crossref Jake Gavenas, Ueli Rutishauser, Aaron Schurger, Uri Maoz 2023-05-30T13:00:21Z 置信度 0.70
• Medical Signal Processing
  crossref 2025-11-28T07:11:02Z 置信度 0.70
• Uncertainty-Aware Graph Neural Network for Semi-Supervised Diversified Recommendation
  Abstract Graphs are a powerful tool for representing structured and relational data in various domains, including social networks, knowledge graphs, and molecular structures. Semi-supervised learning on graphs has emerged as a promising approach to address rea…
  crossref Minjie 2024-02-09T12:29:39Z 置信度 0.70
• Spiking Network Models and Theory: Overview
  crossref Marc-Oliver Gewaltig 2014-08-23T11:20:22Z 置信度 0.70
• VLSI Implementation of the Low Power Neuromorphic Spiking Neural Network with Machine Learning Approach
  crossref K. Venkateswara Reddy, N. Balaji 2022-02-15T09:04:45Z 置信度 0.70
• Classification of Spatio-Temporal fMRI Data in the Spiking Neural Network
  Deep learning machine that employs Spiking Neural Network (SNN) is currently one of the main techniques in computational intelligence to discover knowledge from various fields. It has been applied in many application areas include health, engineering, finances…
  crossref Shaznoor Shakira Saharuddin, Norhanifah Murli, Muhammad Azani Hasibuan 2019-03-03T04:56:41Z 置信度 0.70
• Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data
  crossref Maryam Gholami Doborjeh, Nikola Kasabov, Zohreh Gholami Doborjeh 2017-04-17T04:00:40Z 置信度 0.70
• A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards
  In this letter, a novel critic-like algorithm was developed to extend the synaptic plasticity rule described in Florian ( 2007 ) and Izhikevich ( 2007 ) in order to solve the problem of learning multiple distal rewards simultaneously. The system is augmented w…
  crossref Michael J. O'Brien, Narayan Srinivasa 2012-09-28T18:37:36Z 置信度 0.70
• A Spiking Neuron as Information Bottleneck
  Neurons receive thousands of presynaptic input spike trains while emitting a single output spike train. This drastic dimensionality reduction suggests considering a neuron as a bottleneck for information transmission. Extending recent results, we propose a sim…
  crossref Lars Buesing, Wolfgang Maass 2010-03-25T22:19:36Z 置信度 0.70
• Neural behaviors and nonlinear dynamics of a rotate-and-fire digital spiking neuron
  crossref Tetsuya Hishiki, Hiroyuki Torikai 2010-10-19T18:58:15Z 置信度 0.70
• From Spiking Neurons to Dynamic Perceptrons
  crossref Francesco Palmieri, Antonella Luongo, Andrew Moiseff 2011-08-24T10:09:05Z 置信度 0.70
• Peer Review Report For: Graph neural network-based anomaly detection for river network systems [version 2; peer review: 1 approved, 2 approved with reservations]
  crossref 2025-11-25T17:07:07Z 置信度 0.70
• Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses
  Though succeeding in solving various learning tasks, most existing reinforcement learning (RL) models have failed to take into account the complexity of synaptic plasticity in the neural system. Models implementing reinforcement learning with spiking neurons i…
  crossref Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang 2019-10-15T21:52:21Z 置信度 0.70
• Hybrid Spintronic-CMOS Spiking Neural Network with On-Chip Learning: Devices, Circuits, and Systems
  crossref Abhronil Sengupta, Aparajita Banerjee, Kaushik Roy 2016-12-08T17:08:29Z 置信度 0.70
• Automated cervical cancer classification using stacked BI-LSTM and optimized spiking neural network with deer hunting optimization algorithm
  crossref Harika Vanam, G. Vijaylaxmi, Vanam Sravan Kumar 2025-05-24T06:14:43Z 置信度 0.70
• Building and training a deep spiking neural network for ECG classification
  crossref Yifei Feng, Shijia Geng, Jianjun Chu, Zhaoji Fu 等 2022-05-02T17:20:31Z 置信度 0.70
• Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning
  crossref Katsumi Naya, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe 2021-11-08T22:35:42Z 置信度 0.70
• Temporal clustering with spiking neurons and dynamic synapses: towards technological applications
  crossref Jan Storck, Frank Jäkel, Gustavo Deco 2002-10-14T18:58:33Z 置信度 0.70
• Estimating Spiking Irregularities Under Changing Environments
  We considered a gammadistribution of interspike intervals as a statistical model for neuronal spike generation. A gamma distribution is a natural extension of the Poisson process taking the effect of a refractory period into account. The model is specified by …
  crossref Keiji Miura, Masato Okada, Shun-ichi Amari 2006-08-14T16:06:19Z 置信度 0.70
• A New Approach to the Identification of Sensory Processing Circuits Based on Spiking Neuron Data
  crossref Dorian Florescu 2017-04-21T13:35:41Z 置信度 0.70
• A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration
  crossref Rong Zhang, Jie Li, Pai Zheng, Yuqian Lu 等 2022-05-27T18:58:17Z 置信度 0.70
• Spatial Memory in a Spiking Neural Network with Robot Embodiment
  Cognitive maps and spatial memory are fundamental paradigms of brain functioning. Here, we present a spiking neural network (SNN) capable of generating an internal representation of the external environment and implementing spatial memory. The SNN initially ha…
  crossref Sergey A. Lobov, Alexey I. Zharinov, Valeri A. Makarov, Victor B. Kazantsev 2021-04-12T05:52:00Z 置信度 0.70
• Review of Memristors for In‐Memory Computing and Spiking Neural Networks
  The convergence of in‐memory computing (IMC) and neuromorphic architectures offers a promising path toward energy‐efficient, scalable artificial intelligence, particularly for edge and real‐time applications. Memristors, resistive devices with nonvolatile, ana…
  crossref Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco 2025-12-03T06:50:12Z 置信度 0.70
• Review for "Mapping China’s Environmental Sustainability Drivers with Wavelet-Based Artificial Neural Network"
  crossref 2026-03-13T21:09:03Z 置信度 0.70
• Intrusion Detection for IoT Network Security with Deep Neural Network
  Abstract one of the most important challenges of the Internet of Things is security. Today, the Internet of Things has found an important place in information technology and human daily life. One of the main challenges of the Internet of Things is security. On…
  crossref Roya Morshedi, S Mojtaba Matinkhah, Mohammad Taghi Sadeghi 2023-03-08T23:59:44Z 置信度 0.70
• Review for "ACES-GNN: Can Graph Neural Network Learn to Explain Activity Cliffs?"
  crossref 2025-07-01T17:08:16Z 置信度 0.70
• Review for "ACES-GNN: Can Graph Neural Network Learn to Explain Activity Cliffs?"
  crossref 2025-07-01T17:08:16Z 置信度 0.70
• Review for "Improved bilayer convolution transfer learning neural network for industrial fault detection"
  crossref 2021-09-10T07:19:00Z 置信度 0.70
• Review for "Identification of Plant Species Using Convolutional Neural Network with Transfer Learning"
  crossref 2025-02-05T16:15:21Z 置信度 0.70
• Review comment by handling associate editor
  crossref Walter Schmidt 2019-08-09T12:29:28Z 置信度 0.70
• Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
  crossref Yang Li, Xiang He, Qingqun Kong, Yi Zeng 2023-08-18T15:18:43Z 置信度 0.70
• Solving the linearly inseparable XOR problem with spiking neural networks
  crossref Mirela Reljan-Delaney, Julie Wall 2018-01-11T18:49:34Z 置信度 0.70
• Cell Attention Networks Integrated with Spiking Neural Networks and Binary Light Spectrum Optimization for Efficient Task Scheduling in Cloud Computing: Blockchain-Enhanced
  Abstract Task scheduling in cloud computing remains a persistent and complex challenge due to inherently dynamic resource requirements and fluctuating workload patterns. Traditional methodologies—whether heuristic or AI-driven—often fall short in delivering re…
  crossref Babasaheb Annasaheb Abhale, Nitin Laxman Shelake, Prakash Pandharinath Rokade, Somnath Gade 2025-09-01T16:11:06Z 置信度 0.70
• Review for "ACES-GNN: Can Graph Neural Network Learn to Explain Activity Cliffs?"
  crossref 2025-07-01T17:08:16Z 置信度 0.70
• Review for "Preserving node similarity adversarial learning graph representation with graph neural network"
  crossref 2024-01-29T16:15:16Z 置信度 0.70
• Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes
  crossref Alex Metaxas, Reinoud Maex, Rod Adams, Volker Steuber 等 2013-07-22T09:20:22Z 置信度 0.70
• Artificial Neural Network for Stability-Constrained Optimal Power Flow
  Abstract The usage of the development of machine learning is extremely important these days, especially in power systems. Artificial neural networks (ANN) have been developed and implemented successfully to improve power system performance and solve complex pr…
  crossref Hassan Alsobaie 2025-07-15T03:55:33Z 置信度 0.70
• Review: The challenge of land in a neural network ocean model — R0/PR3
  crossref 2025-01-22T04:57:34Z 置信度 0.70
• Parallelizing Convolution Neural Network for Image Classification
  Abstract The problem in classifying images using CNN is that it is a time consuming process. Actually it takes minutes to identify one image in average cases. This case has been studied regarding its uses, types, and importance. Due to its several practices, i…
  crossref Ali Al Hajj Ali 2025-05-29T09:13:54Z 置信度 0.70
• Review of 'A global monthly climatology of total alkalinity: a neural network approach'
  crossref 2018-12-19T09:03:59Z 置信度 0.70
• WITHDRAWN: Exploring the Effectiveness of Convolutional Neural Network with Ensemble Technique
  Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding au…
  crossref 2022-08-31T10:40:42Z 置信度 0.70
• Review for "Improved bilayer convolution transfer learning neural network for industrial fault detection"
  crossref 2021-09-10T07:19:00Z 置信度 0.70
• Review for "Adaptive deep fusion neural network based soft sensor for industrial process"
  crossref 2024-01-21T16:11:21Z 置信度 0.70
• Review for "Protein secondary structure assignment using pc ‐polyline and convolutional neural network"
  crossref 2021-03-29T17:02:26Z 置信度 0.70
• Nonspiking and Spiking Local Interneurons in the Locust
  crossref Malcolm Burrows 2013-06-01T13:13:58Z 置信度 0.70
• Training spiking neural models using cuckoo search algorithm
  crossref Roberto A. Vazquez 2011-07-20T20:51:24Z 置信度 0.70
• Review for "Improved bilayer convolution transfer learning neural network for industrial fault detection"
  crossref 2021-09-10T07:19:00Z 置信度 0.70
• Spiking-STGCN: A Lightweight Spiking Spatio-Temporal Graph Convolutional Network Model for Urban Traffic Flow Prediction
  crossref Zhiqiang Cao, Hui Xu, HaoMeng Yu 2025-10-09T17:50:38Z 置信度 0.70