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• Deep Neural Network Architectures for Advanced Hiking Map Generation
  crossref Olivier Schirm, Maxime Devanne, Jonathan Weber, Arnaud Lecus 等 2025-02-28T12:43:00Z 置信度 0.70
• Stock Market Price Prediction Using Neural Prophet with Deep Neural Network
  crossref Navin Chhibber, Sunil Khemka, Navneet Kumar Tyagi, Rohit Tewari 等 2026-01-22T20:58:23Z 置信度 0.70
• Notice of Retraction: A Linear-Logarithmic CMOS-Memristor Vision Sensor
  crossref Timur Malikov, Kamilya Smagulova, Alex Pappachen James 2018-10-30T06:31:38Z 置信度 0.70
• Perbandingan Kinerja Arsitektur Convolutional Neural Network Pada Deteksi Malaria Menggunakan Citra Sel Darah
  Malaria masih menjadi salah satu penyebab kematian tertinggi di dunia, terutama di daerah yang berstatus endemi. Standar emas penegakan diagnosis malaria adalah berbasis citra apusan atau sel darah yang diperoleh dengan menggunakan mikroskop. Kendala utama dal…
  crossref Agung Wahyu Setiawan 2025-07-01T01:45:39Z 置信度 0.70
• Figure 3: Neural network architecture.
  crossref 2025-05-09T04:36:47Z 置信度 0.70
• Figure 1: LSTM neural network.
  crossref 2024-12-12T03:21:59Z 置信度 0.70
• Bounded Flux-Based Modelling of the Memristor and Implementation of Hybrid CMOS-Memristor Read-Write Circuit
  crossref Bachina Vamsi Krishna, Manas Ranjan Tripathy, Jogendra Singh Rana, Prince Kumar Singh 等 2025-05-12T17:41:43Z 置信度 0.70
• Artificial Neural Network Predictions of Heat Transfer of Flat Plate Collector With Hybrid Nanofluids
  The Nusselt number, heat transfer, and friction factor of a flat plate collector operating with hybrid nanofluids of Al2O3-CuO and water are utilized in the Support Vector Regression method of artificial neural networks. The volume loadings used in the experim…
  crossref Lingala Syam, Solomon Mesfin, Veeredhi Vasudeva Rao 2025-02-05T12:23:32Z 置信度 0.70
• Emotion Analysis of Shopping Software Reviews Based on Neural Network
  crossref 2022-12-01T18:10:50Z 置信度 0.70
• Artificial Neural Network Research in Online Social Networks
  Artificial neural networks are a machine learning method ideal for solving classification and prediction problems using Big Data. Online social networks and virtual communities provide a plethora of data. Artificial neural networks have been used to determine …
  crossref Steven Walczak 2021-09-17T11:47:50Z 置信度 0.70
• Deteksi Penyakit Kulit dengan Metode Convolutional Neural Network Menggunakan Arsitektur VGG19
  Deteksi dini penyakit kulit merupakan tantangan signifikan, khususnya di daerah dengan keterbatasan layanan medis dermatologis. Masalah ini diperparah oleh kurangnya tenaga medis spesialis serta maraknya informasi kesehatan yang tidak akurat di internet. Tujua…
  crossref Ainunnisa Indah Rizqya, Nanda Martyan Anggadimas, Muhammad Misdram 2025-12-19T09:05:45Z 置信度 0.70
• Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
  crossref Phan Anh Vu, François Rummens, Marielle Malfante, Bertrand Rivet 等 2025-03-28T03:23:48Z 置信度 0.70
• Discrete memristor applied to construct neural networks with homogeneous and heterogeneous coexisting attractors
  crossref Qiang Lai, Liang Yang 2023-07-17T06:39:18Z 置信度 0.70
• Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More
  crossref Jinwoo Lim, Suhyun Kim, Soo-Mook Moon 2026-08-06T14:44:29Z 置信度 0.70
• Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
  crossref Jurica Runtas, Tomislav Petković 2025-03-03T22:55:07Z 置信度 0.70
• Hybrid deep learning approach for sentiment analysis using text and emojis
  crossref Arjun Kuruva, C. Nagaraju Chiluka 2024-05-29T06:38:04Z 置信度 0.70
• Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities
  crossref Lin Xiao, Yunong Zhang 2011-08-16T15:15:49Z 置信度 0.70
• Figure 3: Recurrent neural network.
  crossref 2023-11-16T03:24:13Z 置信度 0.70
• IDENTIFICATION OF ROAD DAMAGE USING THE CONVOLUTIONAL NEURAL NETWORK (CNN) METHOD
  Kerusakan jalan merupakan permasalahan umum yang berdampak langsung terhadap keselamatan dan kenyamanan pengguna jalan, serta terhadap efisiensi transportasi. Selama ini, proses inspeksi jalan masih dilakukan secara manual, yang memerlukan waktu, biaya, dan su…
  crossref Ahmad Syafiq Maulana Zuhri, Nur Nafiiyah, Agus Setia Budi 2025-11-30T20:24:39Z 置信度 0.70
• NuGraph2: A Graph Neural Network for Neutrino Event Reconstruction
  crossref Giuseppe Cerati 2024-08-23T03:10:37Z 置信度 0.70
• Monitoring Artificial Neural Network Performance Degradation under Network Damage
  crossref 2010-11-15T10:59:57Z 置信度 0.70
• Artificial Neural Network and Recurrent Neural Network Approaches for Isotropic and Anisotropic Plastic Material Modeling
  crossref Jing Bi, Zhenyuan Gao, Victor Oancea 2021-09-10T20:26:32Z 置信度 0.70
• GRAPHSECNET: A GRAPH NEURAL NETWORK FRAMEWORK FOR PREDICTIVE CYBERSECURITY INTELLIGENCE IN DYNAMIC NETWORK ENVIRONMENTS
  Contemporary cybersecurity threats exploit complex network topologies and temporal attack patterns that traditional detection systems fail to adequately model. This paper presents GraphSecNet, a novel Graph Neural Network framework that transforms network secu…
  crossref Yogish Pai U 2025-12-20T09:26:12Z 置信度 0.70
• Research on Real-time DDoS Attack Detection System Based on One-dimensional Deep Convolutional Neural Network
  crossref Youce Wang, Qingquan Liu, Peng Liang, Chengxuan Sui 2026-01-19T20:53:15Z 置信度 0.70
• Synchronization for a class of complex-valued memristor-based competitive neural networks(CMCNNs) with different time scales
  crossref Yong Zhao, Shanshan Ren 2021-06-04T00:16:40Z 置信度 0.70
• Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations
  crossref Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang 等 2017-07-18T15:48:55Z 置信度 0.70
• Initial condition-induced synchronization and chimera state in memristor synapse-coupled memristive Hopfield neural networks
  crossref Chengjie Chen, Fuhong Min, Yunzhen Zhang, Han Bao 2025-05-22T11:04:17Z 置信度 0.70
• Design and Development of an Intelligent Digital Marketing System Using Hybrid Collaborative Filtering with Context-Aware Deep Neural Network
  crossref Yanling Liu, Zhenhua Xiao 2025-09-29T17:50:45Z 置信度 0.70
• BUBMO-based Bi-GRU-CNN model for crop classification with improved feature set: A bigdata perspective
  crossref Shivi Sharma, D D Sharma, Ashish Sharma, Munish Manas 2025-06-03T06:57:06Z 置信度 0.70
• Backpropagation Neural Network for Science and Technology Finance Evaluation Model for Citylevel Stf Assessment
  crossref Yufei Ye, Xuerong Yang 2025-09-29T17:50:45Z 置信度 0.70
• A flexible artificial synapse based on the two-dimensional CuInS2 memristor for neural morphology calculation
  crossref Zhong-Jie Chen, Zhenhua Tang, Zhao-Yuan Fan, Jun-Lin Fang 等 2024-12-10T17:45:15Z 置信度 0.70
• Introduction to Neural Networks
  Neural networks, inspired by the biological neural structures in the human brain, are computational models that are central to many modern artificial intelligence applications. These networks consist of interconnected layers of nodes, or neurons, that process …
  crossref D. Pavunraj, K. Anbumaheshwari 2025-05-29T17:14:01Z 置信度 0.70
• A novel compound exponential locally active memristor coupled Hopfield neural network
  The neural network model coupled with memristors has been extensively studied due to its ability to more accurately represent the complex dynamic characteristics of the biological nervous system. Currently, the mathematical model of memristor used to couple ne…
  crossref Meng-Jiao Wang, Chen Yang, Shao-Bo He, Zhi-Jun Li 2024-05-17T09:41:05Z 置信度 0.70
• Novel Graph Neural Network Method for Differential Network Analysis in Biological Data
  crossref Marianna Milano, Pietro Hiram Guzzi 2025-12-10T17:45:59Z 置信度 0.70
• DEEP LEARNING BASED AGRICULTURE TRAFFIC PREDICTION USING GATED RECURSIVE DEEP NEURAL NETWORK IOT ENVIRONMENT
  IoT traffic data can be used to apply deep learning technology to agriculture. The application of deep learning algorithms in agriculture has improved, resource management, and decisionmaking with positive outcomes. Precision agriculture can assist regulate cr…
  crossref M. Sofiya, M. Arulmozhi 2025-04-15T15:52:21Z 置信度 0.70
• Robust Neural Network Revived for Adaptive Blind Separation of Complex Wireless Signals
  crossref Marek Klemes 2025-07-15T17:41:05Z 置信度 0.70
• Convolutional neural network-based spectrum sensing for NOMA cognitive radio networks
  crossref Saikat Majumder 2025-04-14T11:08:06Z 置信度 0.70
• A Fuzzy Neural Network System for Denoising Magnetic Resonance Images
  Image acquisition is an essential step in image processing. When the image acquisition is done the image that is generated is subjected to Impulse noise, Gaussian noise etc. We have performed the image denoising on images inflicted with impulse noise. Image de…
  crossref Shubhajoy Das, Debashis Das 2025-11-12T12:05:14Z 置信度 0.70
• RP squeeze U-SegNet model for lesion segmentation and optimization enabled ShuffleNet based multi-level severity diabetic retinopathy classification
  crossref Zulaikha Beevi Sulaiman 2024-09-25T13:37:15Z 置信度 0.70
• A Hybrid Graph Neural Network Model for Predicting Cyber Attacks From Heterogeneous and Dynamic Network Data
  crossref Mücahit Soylu, Resul Das 2025-08-27T18:32:22Z 置信度 0.70
• Figure 5: Simplified neural network.
  crossref 2021-11-17T04:36:01Z 置信度 0.70
• Synchronization analysis of delayed quaternion-valued memristor-based neural networks by a direct analytical approach
  <abstract><p>This issue discusses the asymptotic synchronization and the exponential synchronization for memristor-based quaternion-valued neural networks under the time-varying delays. Some criteria for synchronization of the memristor-based quate…
  crossref Jun Guo, Yanchao Shi, Shengye Wang 2024-05-29T06:52:57Z 置信度 0.70
• Intelligent Monitoring of Cabin Temperature Based on Recurrent Neural Network
  crossref 2022-12-01T18:09:49Z 置信度 0.70
• H<inf>∞</inf> control design for memristor-based neural networks subject to actuator saturation
  crossref Xiao-Wei Zhang, Huai-Ning Wu 2017-09-29T19:54:00Z 置信度 0.70
• Supporting Information for “Self-adaptive Learning in Memristor Convolutional Neural Networks”   
  crossref Mingqiang Huang, Wei Zhang, Lunshuai Pan, Xuelong Yan 等 2021-03-08T11:29:05Z 置信度 0.70
• Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network
  crossref V. Anjana Devi, P.V. Bhaskar Reddy, Sreenu Ponnada, K. Suresh Kumar 2025-08-18T07:36:33Z 置信度 0.70
• The Information Perception Analysis of Complex Network based on Local Similar Clustering and BP Neural Network
  crossref Meijing Song, Yajing Lu 2025-07-31T13:00:15Z 置信度 0.70
• Intermittent control of memristor-based recurrent neural networks with time-varying delays
  crossref Fengqiu Liu, Min Qiu, Sitian Qin 2017-11-22T12:46:21Z 置信度 0.70
• RETRACTED ARTICLE: A clustering approach for attack detection and data transmission in vehicular ad-hoc networks
  crossref Atul Barve, Pushpinder Singh Patheja 2023-11-18T21:19:02Z 置信度 0.70
• Fault Tolerance of Memristor-Based Perceptron Network for Neural Interface
  crossref Sergey Shchanikov, Ilya Bordanov, Anton Zuev, Sergey Danilin 等 2020-11-12T02:02:39Z 置信度 0.70
• Qualitative Characteristics of Neural Network Architectures
  crossref 2007-10-28T00:36:19Z 置信度 0.70
• Figure 3: Convolutional neural network.
  crossref 2025-06-30T04:41:36Z 置信度 0.70
• Reinforcement learning-based MTC random access and heterogeneous network resource allocation
  crossref Ying Zhang 2025-06-11T19:42:35Z 置信度 0.70
• Enterprise Risk Early Warning Model Based on Recurrent Neural Network
  crossref 2022-12-01T06:22:51Z 置信度 0.70
• Analysis of the equilibrium properties of a continuous neural network made of excitatory and inhibitory neurons
  crossref Antônio Filho 2002-08-24T22:35:54Z 置信度 0.70
• Modelling the effect of the missing fundamental with an attractor neural network
  crossref Lubica Be&nbreve;u&sbreve;ková 2002-08-25T02:35:54Z 置信度 0.70
• Neural Network Output Feedback Controller Design and Embedded Hardware Implementation
  crossref 2020-12-01T19:22:01Z 置信度 0.70
• Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks
  crossref Ning Li, Jinde Cao, Mengzhe Zhou 2014-11-21T13:16:45Z 置信度 0.70
• Multilayer Neural Network Architectures
  crossref Siddhartha Bhattacharyya 2017-01-24T16:04:07Z 置信度 0.70
• Face Recognition System in Intelligent Building Based on Neural Network
  crossref 2022-12-01T03:35:42Z 置信度 0.70
• Traffic Speed Prediction Using MAB-STGNN: Graph Neural Network Built-In Model for Spatial–Temporal Graph Neural Network
  crossref Renuka Mandlik, Saiedeh Razavi, Susan Tighe 2025-10-01T00:19:59Z 置信度 0.70
• Optimized high-dimensional memristive hopfield neural network for DoS attack detection in Mobile Adhoc Network
  crossref Gayathri Devi S, Chandia S, Savithri V, Saraswathi K 2024-12-19T17:44:59Z 置信度 0.70
• Research on the Integration and Optimization Strategies of Artificial Intelligence and Neural Network Technologies in Communication Network Security Management
  crossref Mingqi Meng 2026-01-29T21:18:30Z 置信度 0.70
• LBM-GNN: Graph Neural Network Enhanced Lattice Boltzmann Method
  crossref Yue Li 2025-09-24T17:31:35Z 置信度 0.70
• A Modular and Expandable Analog Integrated Neural Network
  crossref O. Rossetto, C. Jutten 2013-12-09T03:06:39Z 置信度 0.70
• Clothing Feature Recognition and Classification Based on Convolutional Neural Network
  crossref 2022-12-01T18:13:37Z 置信度 0.70
• Enterprise Financial Risk Early Warning Based on Deep Neural Network
  crossref 2022-12-01T18:10:50Z 置信度 0.70
• A Physics-Informed Neural Network Model to Predict Thermo-Oxidative/Thermal Aging of Viscoelastic Materials
  crossref Hossein Naderi, Roozbeh Dargazany 2025-05-15T12:40:26Z 置信度 0.70
• BioLogicalNeuron: A Biologically Inspired Neural Network Layer with Homeostatic Regulation and Adaptive Repair Mechanism
  Abstract Neural networks face persistent challenges in maintaining stability and robustness during training, particularly in noisy or high-dimensional domains like molecular analysis. Inspired by biological neural systems that leverage homeostasis and self-rep…
  crossref MD Hakim, Mohammad Alam 2025-03-13T23:08:37Z 置信度 0.70
• Deep Convolutional Neural Network and Enhanced Wavelet Transform for Single Image De-Hazing
  crossref Naresh Malothu, Prof. Ravi kumar Jatoth 2025-01-04T07:40:17Z 置信度 0.70
• Ultra-Compact Neural Network Adc Exploiting Ferroelectric Fets
  crossref Ayan Banerjee, Sagnik Bhattacharya, Arka Chakraborty, Yogesh Singh Chauhan 等 2025-08-09T18:42:39Z 置信度 0.70
• Review for "A spiking photonic neural network of 40,000 neurons, trained with latency and rank-order coding for leveraging sparsity"
  crossref 2025-05-31T17:07:02Z 置信度 0.70
• Decision letter for "Enhancing Cardiovascular Disease Analysis in Healthcare Systems With Hybrid Random Forest and Neural Network Algorithm"
  crossref 2025-09-30T23:21:22Z 置信度 0.70
• Stochastic fractional-order memristive fuzzy bam neural networks with time delays and leakage term for finite-time stability analysis.
  europepmc 2026 置信度 0.80
• Programmable Speech Recognition Based on Cu/CuBiSe<sub>2</sub>/SrNbO<sub>3</sub>/W Memristors.
  europepmc 2026 置信度 0.80
• Piezoelectric surface acoustic wave memristor neural network.
  europepmc 2026 置信度 0.80
• A Dual-Mode Memristor-Based Oscillator for Energy-Efficient Biomedical Wireless Systems.
  europepmc 2026 置信度 0.80
• Memristor-Based CMAC Neural Network Circuit of Artificial Fish Behavioral Decision With Fuzzy Emotion and Its Application.
  europepmc 2025 置信度 0.80
• Error-aware probabilistic training for memristive neural networks.
  europepmc 2025 置信度 0.80
• An Ultrathin, Cyano-Functionalized Copolymeric Memristor by iCVD Process for Driving Convolutional Neural Networks of High-Resolution Images.
  europepmc 2026 置信度 0.80
• Physics-Driven In-House Memristor Cross-Bar Array Model for Image Classification
  europepmc 2025 置信度 0.80
• Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory.
  europepmc 2025 置信度 0.80
• Dual Bipolar Resistive Switching in Wafer-Scalable 2D Perovskite Oxide Nanosheets-Based Memristor.
  europepmc 2026 置信度 0.80
• A hardware-adaptive learning algorithm for superlinear-capacity associative memory on memristor crossbars.
  europepmc 2026 置信度 0.80
• Editorial: Novel memristor-based devices and circuits for neuromorphic and AI applications, volume II.
  europepmc 2025 置信度 0.80
• Firing dynamics and phase synchronization in a memristor-coupled heterogeneous neuron network under electromagnetic radiation.
  europepmc 2025 置信度 0.80
• Feature-Selective Preprocessing with Electrically Robust Boron Nitride-Based Dynamic Memristors for Reliable Lightweight Neural Networks.
  europepmc 2026 置信度 0.80
• Magnetic-Field Controlled Organic Spintronic Memristor for Neural Network Computation.
  europepmc 2025 置信度 0.80
• Privacy-preserving data analysis using a memristor chip with colocated authentication and processing.
  europepmc 2026 置信度 0.80
• High-speed energy-efficient memristor confined in sub-5 nm space with elemental oxygen reservoir layer.
  europepmc 2026 置信度 0.80
• Generating Simple Cyclic Memristive Neural Network Circuit With Controllable Multiscroll Attractors and Multivariable Amplitude Control.
  europepmc 2025 置信度 0.80
• A ferroelectric-memristor memory for both training and inference.
  europepmc 2025 置信度 0.80
• Intrinsic annealing in a hybrid memristor-magnetic tunnel junction Ising machine.
  europepmc 2026 置信度 0.80
• Generalized FitzHugh-Nagumo equations with Caputo gH-differentiability: A novel fuzzy fractional approach to digital memristor networks.
  europepmc 2026 置信度 0.80
• Tunable synchronization control of coupled neural dual-capacitance circuits via switchable components.
  europepmc 2025 置信度 0.80
• Robust full-parameter control method: Constructing multiscroll HNN via memristor.
  europepmc 2025 置信度 0.80
• A DTMOS-Based Memristor Emulator Circuit for Low-Power Biomedical Signal Conditioning.
  europepmc 2026 置信度 0.80
• Multi-mechanism driven geometric control of discrete memristive dual-neuron HNN: Modulation analysis and hardware implementation.
  europepmc 2025 置信度 0.80
• Actor-critic networks with analogue memristors mimicking reward-based learning.
  europepmc 2025 置信度 0.80
• Fiber Memristor-Based Physical Reservoir Computing for Multimodal Sleep Monitoring.
  Real-time wearable sleep monitors process diverse biological signals while operating under tight energy and computation budgets. The existing algorithms are facing problems of high energy consumption due to separate hardware storage and computation units. In t…
  europepmc 2025 置信度 0.80