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• Application of Neuro-Fuzzy Methods for Noise Filtering, Noise Detection and Edge Extraction in Digital Images Corrupted by Impulse Noise
  crossref Emin Yüksel 2007-06-23T07:59:08Z 置信度 0.70
• Neuro fuzzy schemes for fault detection in power transformer
  crossref V. Duraisamy, N. Devarajan, D. Somasundareswari, A. Antony Maria Vasanth 等 2006-11-22T15:10:04Z 置信度 0.70
• Neuro-fuzzy system dynamics technique for modeling construction systems
  crossref Nima Gerami Seresht, Aminah Robinson Fayek 2020-05-17T10:01:57Z 置信度 0.70
• Neuro-fuzzy Filtering Techniques for the Analysis of Complex Acoustic Scenarios
  crossref Rinaldo Poluzzzi, Alberto Savi 2013-03-10T20:11:43Z 置信度 0.70
• A neuro-fuzzy computing model of human pattern generation
  crossref Y. Hata, M.A. Lee, K. Yamato 2002-12-23T23:52:33Z 置信度 0.70
• New Basic Theory on Quantum Neuro-Computation
  crossref Hiroyuki Matsuura, Masahiro Nakano 2011-03-08T09:44:47Z 置信度 0.70
• Neuro-fuzzy ensembler for cognitive states classification
  crossref Shantipriya Parida, Satchidananda Dehuri, Sung-Bae Cho 2014-04-08T21:56:13Z 置信度 0.70
• USING DUAL-ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN PILOT'S RISK ASSESSMENT
  crossref KAIJUN XU 2014-07-21T10:11:35Z 置信度 0.70
• A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences
  crossref Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg 等 2020-11-20T04:40:25Z 置信度 0.70
• Detection and Removal of RainDrop from Images Using DeepLearning
  crossref Y. Himabindu, R. Manjusha, Latha Parameswaran 2020-01-06T20:02:40Z 置信度 0.70
• A New Image Classification Architecture Inspired by Working Memory
  crossref Jiahui Shen, Ji Xiang, Nan Mu, Lei Wang 2020-04-09T23:03:00Z 置信度 0.70
• Bridging Human Thought and Machine Intelligence
  Artificial intelligence has achieved significant progress in perception and prediction, yet many contemporary systems remain limited in interpretability, contextual reasoning, and alignment with human cognition. This chapter advances the concept of cognitive a…
  crossref Rubee Singh 2026-08-07T14:49:21Z 置信度 0.70
• Neuro-Fuzzy System for Intelligent Course Control of Underactuated Conventional Ships
  crossref Viorel Nicolau 2007-09-24T18:55:02Z 置信度 0.70
• Fibonacci Series-Inspired Local Search in Artificial Bee Colony Algorithm
  crossref Nirmala Sharma, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal 2018-08-23T06:28:55Z 置信度 0.70
• A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire ATC for Biological and Low-Frequency Signals
  crossref Miguel Lima Teixeira, João P. Oliveira, José C. Príncipe, João Goes 2024-01-18T18:27:59Z 置信度 0.70
• A new methodology to improve interpretability in neuro-fuzzy TSK models
  crossref Miguel Ángel Vélez, Omar Sánchez, Sixto Romero, José Manuel Andújar 2009-08-29T06:01:29Z 置信度 0.70
• Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS)
  crossref Shihabudheen KV, G.N. Pillai, Bipin Peethambaran 2017-09-11T12:46:47Z 置信度 0.70
• Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems
  crossref Lotfi A. Zadeh 2011-06-15T23:06:59Z 置信度 0.70
• Neuro-Fuzzy Analysis of Demonetization on NSE
  crossref Rashmi Bhardwaj, Aashima Bangia 2018-12-13T17:26:17Z 置信度 0.70
• A Neuro-Fuzzy Control for TCP Network Congestion
  crossref S. Hadi Hosseini, Mahdieh Shabanian, Babak N. Araabi 2009-09-29T02:53:53Z 置信度 0.70
• A two level real-time path planning method inspired by cognitive map and predictive optimization in human brain
  crossref Yeganeh M. Marghi, Farzad Towhidkhah, Shahriar Gharibzadeh 2014-04-03T12:34:38Z 置信度 0.70
• A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system
  crossref K. Subramanian, S. Suresh 2012-07-06T04:21:44Z 置信度 0.70
• Optimal design of adaptive type-2 neuro-fuzzy systems: A review
  crossref Saima Hassan, Mojtaba Ahmadieh Khanesar, Erdal Kayacan, Jafreezal Jaafar 等 2016-04-11T17:52:53Z 置信度 0.70
• Science or non-science? The challenge for medical research — To explain neuro-regulation
  crossref G W Ewing 2016-09-01T22:39:56Z 置信度 0.70
• Neuro-heuristics for nonlinear singular Thomas-Fermi systems
  crossref Zulqurnain Sabir, Muhammad Anwaar Manzar, Muhammad Asif Zahoor Raja, Muhammad Sheraz 等 2018-01-30T23:35:56Z 置信度 0.70
• Neuro-fuzzy clustering techniques for complex acoustic scenarios
  crossref Rinaldo Poluzzi, Alberto Savi, Davide Vago, Giuseppe Martina 2003-12-23T20:14:14Z 置信度 0.70
• Neuro-Inspired-in-Memory Computing Using Charge-Trapping MemTransistor on Germanium as Synaptic Device
  crossref Yu-Che Chou, Chien-Wei Tsai, Chin-Ya Yi, Wan-Hsuan Chung 等 2020-07-31T16:17:01Z 置信度 0.70
• QOPTLib: A Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
  crossref Eneko Osaba, Esther Villar-Rodriguez 2023-08-21T15:04:55Z 置信度 0.70
• The runner-root algorithm: A metaheuristic for solving unimodal and multimodal optimization problems inspired by runners and roots of plants in nature
  crossref F. Merrikh-Bayat 2015-05-05T00:50:10Z 置信度 0.70
• Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN)
  crossref Yan Li, N. Sundararajan, P. Saratchandran 2002-10-06T16:59:17Z 置信度 0.70
• A Reconfigurable Bit-Serial VLSI Systolic Array Neuro-Chip
  crossref Paul J. Murtagh, Ah Chung Tsoi 2002-10-07T11:41:49Z 置信度 0.70
• Biologically Inspired SNN for Robot Control
  In recent years, there has been a trend towards more sophisticated robot control. This has been driven by advances in artificial intelligence (AI) and machine learning, which have enabled robots to become more autonomous and effective in completing tasks. One …
  crossref S. Ganeshkumar, J. Maniraj, S. Gokul, Krishnaraj Ramaswamy 2023-07-19T08:20:15Z 置信度 0.70
• Explicit class structure produced by information-theoretic competitive and cooperative learning
  crossref R Kamimura 2011-02-18T19:03:54Z 置信度 0.70
• Correction: Bio-inspired Computing Techniques for Data Security Challenges and Controls
  crossref G. Sripriyanka, Anand Mahendran 2023-02-15T09:54:50Z 置信度 0.70
• Cerebellum-Inspired Artificial Neural Networks Architecture
  crossref A.R. Nurutdinov, R.Kh. Latypov 2023-04-10T14:59:54Z 置信度 0.70
• Frontiers in Genetics Algorithm Theory and Applications
  crossref 2024-02-20T10:03:42Z 置信度 0.70
• Membrane computing inspired feature selection model for microarray cancer data
  crossref Naeimeh Elkhani, Ravie Chandren Muniyandi 2017-04-07T11:42:32Z 置信度 0.70
• One-Time-Pads encryption in the tile assembly model
  crossref Zhihua Chen, Jin Xu 2008-10-28T15:22:35Z 置信度 0.70
• Neuro-fuzzy based Indian Topographic map understanding system
  crossref Gitanjali Ganpatrao Nikam, Jayanta Kumar Ghosh 2025-01-05T06:03:00Z 置信度 0.70
• Real-Time Vehicle Emission Monitoring and Location Tracking Framework
  crossref Eyob Shiferaw Abera, Ayalew Belay, Ajith Abraham 2015-12-01T17:08:38Z 置信度 0.70
• Biology Inspired Approximate Data Representation for Signal Processing, Soft Computing and Control Applications
  crossref Emil M. Petriu 2008-02-15T12:33:14Z 置信度 0.70
• Optimization of structures modeled with a meshfree approach
  crossref G.M.S. Bernardo, M.A.R. Loja 2014-10-22T16:05:41Z 置信度 0.70
• Stepwise Probabilistic Buffering for Epidemic Information Dissemination
  crossref Emrah Ahi, Mine Cavlar, Oznur Ozkasap 2007-06-07T15:56:37Z 置信度 0.70
• Saccade inspired Attentive Visual Patch Transformer for image sentiment analysis
  crossref Jing Zhang, Jixiang Zhu, Han Sun, Xinzhou Zhang 等 2025-03-12T16:51:12Z 置信度 0.70
• Corona Warrior Smart Band
  crossref Soham S. Methul, Shubhangee K. Varma, Ashok S. Chandak 2022-03-30T06:02:42Z 置信度 0.70
• A Neural Network Model for Road Traffic Flow Estimation
  crossref Ayalew Belay Habtie, Ajith Abraham, Dida Midekso 2015-12-01T17:08:38Z 置信度 0.70
• Machine nature: the coming age of bio-inspired computing
  crossref 2013-01-24T01:32:24Z 置信度 0.70
• Biologically-inspired analysis in the real world: computing, informatics, and ecologies of use
  crossref Laura A McNamara 2012-11-06T21:14:16Z 置信度 0.70
• Combinatorial Optimization Space
  crossref Aziz Ouaarab 2020-03-24T13:02:55Z 置信度 0.70
• Chernobyl-Inspired Optimization for Efficient Wireless Sensor Network Routing
  crossref Garima, Amita Rani, Sanjay Kumar 2025-04-16T17:46:32Z 置信度 0.70
• Data Maintenance and Control Strategy of Group Management
  crossref Yuchun Zhang, Zhiqiang Ye 2012-01-06T21:44:03Z 置信度 0.70
• A new method for adaptive model-based control of non-linear dynamic plants using a neuro-fuzzy-fractal approach
  crossref P. Melin, O. Castillo 2003-02-11T13:20:45Z 置信度 0.70
• Object-Based Neural Model in Multicore Environments with Improved Biological Plausibility
  crossref R. Krishnan, A. Murugan 2021-06-14T05:02:45Z 置信度 0.70
• Role of AI and Bio-Inspired Computing in Decision Making
  crossref Surekha Paneerselvam 2019-12-28T06:02:28Z 置信度 0.70
• A Computer Vision Based Fall Detection Technique for Home Surveillance
  crossref Katamneni Vinaya Sree, G. Jeyakumar 2020-01-06T20:02:40Z 置信度 0.70
• Global Normalization for Fingerprint Image Enhancement
  crossref Meghna B. Patel, Satyen M. Parikh, Ashok R. Patel 2020-01-06T15:02:40Z 置信度 0.70
• Neuromorphic Computing: Current Progress and the Future of Brain-Inspired Computing
  Neuromorphic computing borrows its design logic from the nervous system rather than from the von Neumann architecture that has dominated computing for seventy years. Instead of shuttling data back and forth between separate memory and processing units, it favo…
  openalex Jisna C Jeejo, Habeeba M A 2026-08-23 置信度 0.72 Neuromorphic engineeringComputer scienceVon Neumann architectureComputer architectureUnconventional computing
• An adaptive neuro fuzzy model for estimating the reliability of component-based software systems
  crossref Kirti Tyagi, Arun Sharma 2014-05-06T19:45:44Z 置信度 0.70
• New neuro-fuzzy approach to recession prediction
  crossref Nijat Sh. Mehdiyev, Babek.G. Guirimov, Rafig R. Aliyev 2010-01-20T20:57:36Z 置信度 0.70
• Synchronous Finite State Machines Design with Quantum-Inspired Evolutionary Computation
  crossref Nadia Nedjah, Luiza de Macedo Mourelle 2013-11-18T02:36:09Z 置信度 0.70
• Human Face Recognition Using Local Binary Pattern Algorithm - Real Time Validation
  crossref P. Shubha, M. Meenakshi 2020-01-06T15:02:40Z 置信度 0.70
• Autism Spectrum Disorder Prediction Using Machine Learning Algorithms
  crossref Shanthi Selvaraj, Poonkodi Palanisamy, Summia Parveen, Monisha 2020-01-06T20:02:40Z 置信度 0.70
• Computational Properties of Networks of Synchronous Groups of Spiking Neurons
  We demonstrate a model in which synchronously firing ensembles of neurons are networked to produce computational results. Each ensemble is a group of biological integrate-and-fire spiking neurons, with probabilistic interconnections between groups. An analogy …
  crossref Judith E. Dayhoff 2007-07-24T17:08:08Z 置信度 0.70
• Learning Temporally Encoded Patterns in Networks of Spiking Neurons
  crossref Berthold Ruf, Michael Schmitt 2002-12-22T22:47:08Z 置信度 0.70
• Image Segmentation by Networks of Spiking Neurons
  A network of leaky integrate-and-fire (IAF) neurons is proposed to segment gray-scale images. The network architecture with local competition between neurons that encode segment assignments of image blocks is motivated by a histogram clustering approach to ima…
  crossref Joachim M. Buhmann, Tilman Lange, Ulrich Ramacher 2005-03-25T00:09:56Z 置信度 0.70
• Atrial Fibrillation Detector from ECG on Wearable Edge Devices using Spiking Neural Networks
  crossref Dighanchal Banerjee, Sounak Dey, Arpan Pal 2024-09-09T17:35:05Z 置信度 0.70
• Minimizing Inference Time: Optimization Methods for Converted Deep Spiking Neural Networks
  crossref Etienne Mueller, Julius Hansjakob, Daniel Auge, Alois Knoll 2021-09-20T17:27:41Z 置信度 0.70
• On training spiking neural networks by means of a novel quantum inspired machine learning method
  In spite of the high potential shown by spiking neural networks (e.g., temporal patterns), training them remains an open and complex problem [1]. In practice, while in theory these networks are computationally as powerful as mainstream artificial neural networ…
  crossref Jean Michel Sellier, Alexandre Martini 2023-09-25T09:03:28Z 置信度 0.70
• Author response for "Spiking neural networks compensate weight drift in organic neuromorphic device networks"
  crossref Daniel Felder, John Linkhorst, Matthias Wessling 2023-04-18T17:03:24Z 置信度 0.70
• Brian: a simulator for spiking neural networks in Python
  crossref Dan Goodman 2008-11-18T15:14:41Z 置信度 0.70
• Peer Review Report For: Measuring Neural Network Similarity [version 1; peer review: 1 approved with reservations]
  crossref 2026-04-20T10:36:06Z 置信度 0.70
• Temporal Neural Encoding Methods for Spiking Neural Networks
  crossref Quankun Chen, Da Li, Tuomin Tao, Hanzhi Ma 等 2022-09-20T15:33:28Z 置信度 0.70
• Spiking-NeRF: Neural Graphics Acceleration With Spiking Feature Encoding for Edge 3D Rendering
  crossref Jianzhen Gao, Wei Liu, Yue Liu, Hengyi Zhou 等 2026-03-10T19:51:15Z 置信度 0.70
• Compensation-Balanced Recurrent Neural Architecture Based on Nonlinear Spiking Neural Membrane Systems
  Nonlinear spiking neural P (NSNP) systems offer a biologically inspired framework for modeling nonlinear temporal dynamics via spike consumption and generation. Existing NSNP-based recurrent architectures, such as the long short-term memory model inspired from…
  crossref Jun Fu, Hong Peng, Bing Li, Ziyin Zhou 2026-08-14T07:47:49Z 置信度 0.70
• The Second Spiking Threshold: Dynamics of Laminar Network Spiking in the Visual Cortex
  crossref Lars E. Forsberg, Lars H. Bonde, Michael A. Harvey, Per E. Roland 2016-08-17T03:30:53Z 置信度 0.70
• Supplemental Material for Free Association in a Neural Network
  crossref 2022-09-29T13:16:59Z 置信度 0.70
• Author response: Fast and flexible sequence induction in spiking neural networks via rapid excitability changes
  crossref Rich Pang, Adrienne L Fairhall 2019-05-28T10:00:32Z 置信度 0.70
• A Robotic Platform for Spiking Neural Control Architectures
  crossref Nawrot Martin 2012-10-25T08:14:18Z 置信度 0.70
• Differentiable Architecture Search with Multi-Dimensional Attention for Spiking Neural Networks
  crossref YiLei Man YiLei Man, Delong Shang, Linhai Xie 2023-10-09T11:05:53Z 置信度 0.70
• Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks
  Abstract Cortical neurons process information on multiple timescales, and areas important for working memory (WM) contain neurons capable of integrating information over a long timescale. However, the underlying mechanisms for the emergence of neuronal timesca…
  crossref Robert Kim, Terrence J. Sejnowski 2020-02-13T02:05:12Z 置信度 0.70
• Exploring the Plasticity-Stability Trade-Off in Spiking Neural Networks
  crossref Nicholas Soures, Dhireesha Kudithipudi 2022-08-15T15:19:59Z 置信度 0.70
• A spiking neural representation for XCSF
  crossref Gerard Howard, Larry Bull, Pier-Luca Lanzi 2010-09-29T19:54:29Z 置信度 0.70
• Investigation of Influence of APCMA-based Wireless Communication on Neural Computation in Wireless Spiking Neural Networks
  crossref Naoki Wakamiya 2024-07-02T17:22:52Z 置信度 0.70
• Peer Review Report For: Measuring Neural Network Similarity [version 1; peer review: 2 approved with reservations]
  crossref 2026-05-12T04:01:08Z 置信度 0.70
• A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
  crossref Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording, Eva L Dyer 等 2026-08-06T14:44:29Z 置信度 0.70
• Regularization mechanisms of spiking–bursting neurons
  crossref P Varona, J.J Torres, R Huerta, H.D.I Abarbanel 等 2002-10-14T18:58:33Z 置信度 0.70
• Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression
  crossref Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel 2021-06-14T16:34:13Z 置信度 0.70
• Modeling of Hardware Dopamine-Like Learning in a Spiking Neural Network with Memristive Synaptic Weights
  crossref I. V. Alyaev, I. A. Surazhevsky, A. I. Iliasov, V. V. Rylkov 等 2025-08-25T14:54:13Z 置信度 0.70
• Scalable Block-Based Spiking Neural Network Hardware with a Multiplierless Neuron Model
  crossref Vishnu P. Nambiar, Eng Kiat Koh, Junran Pu, Aarthy Mani 等 2020-09-29T13:22:27Z 置信度 0.70
• Pattern Segmentation and Feature Linking as Simultaneous Processes in an Associative Network of Spiking Neurons
  crossref Raphael Ritz, J. Leo van Hemmen 2012-04-10T03:08:22Z 置信度 0.70
• Spiking neural network circuit with op-amp based LIF neuron and RRAM synaptic array
  crossref Eashwar M.V., Nivetha T., Bindu B., Noor Ain Kamsani 2025-08-20T13:13:37Z 置信度 0.70
• Gyro: A Digital Spiking Neural Network Architecture for Multi-Sensory Data Analytics
  crossref Federico Corradi, Guido Adriaans, Sander Stuijk 2021-02-25T01:33:15Z 置信度 0.70
• Binarized Spiking Neural Network with blockchain based intrusion detection framework for enhancing privacy and security in cloud computing environment
  crossref Velliangiri Sarveshwaran, Shanthini Pandiaraj, Garikapati Bindu, Vithya Ganesan 等 2023-12-27T02:47:21Z 置信度 0.70
• Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker
  crossref Juan Pedro Dominguez-Morales, Angel Jimenez-Fernandez, Antonio Rios-Navarro, Elena Cerezuela-Escudero 等 2016-08-12T11:20:33Z 置信度 0.70
• NeuroPipe-Chip: A digital neuro-processor for spiking neural networks
  crossref T. Schoenauer, S. Atasoy, N. Mehrtash, H. Klar 2002-08-24T20:14:45Z 置信度 0.70
• Composer classification based on temporal coding in adaptive spiking neural networks
  crossref Chaitanya Prasad N, Krishnakant Saboo, Bipin Rajendran 2015-10-01T17:48:02Z 置信度 0.70
• Temporal Correlations in Stochastic Networks of Spiking Neurons
  The determination of temporal and spatial correlations in neuronal activity is one of the most important neurophysiological tools to gain insight into the mechanisms of information processing in the brain. Its interpretation is complicated by the difficulty of…
  crossref Carsten Meyer, Carl van Vreeswijk 2002-07-27T07:56:30Z 置信度 0.70
• A hybrid spiking neural network - quantum framework for spatio-temporal data classification: a case study on EEG data
  Abstract The study introduces a hybrid computational framework that combines neuro-inspired information processing using spiking neural networks (SNNs) and quantum information processing using quantum kernels to develop quantum-enhanced machine learning models…
  crossref Ravi Kumar Jha, Nikola Kasabov, Saugat Bhattacharyya, Damien Coyle 等 2025-11-11T12:54:48Z 置信度 0.70
• Sheaf Attention–Based Osprey Spiking Neural Network for Effective Thermal Management and Self‐Heating Mitigation in GaAs and GaN HEMTs
  ABSTRACT This research introduces the sheaf attention–based osprey spiking neural network (SA‐OSNN) to optimize the thermal performance of GaAs and GaN high electron mobility transistors (HEMTs), which are critical for radio frequency and microwave circuits du…
  crossref Preethi Elizabeth Iype, V. Suresh Babu, Geenu Paul 2025-01-31T06:11:11Z 置信度 0.70
• An Optimized Spiking Neural Network With Weighted Feature Integration for Epilepsy Seizure Detection Using <scp>EEG</scp> Signal
  ABSTRACT Epilepsy becomes the most hazardous neurological disorder affecting humans, and it leads to death if it is not treated on time. When designing the diagnostic model of seizure disease, the input source is requisite. Rather than imaging, the signal reco…
  crossref Kunduru Venkateswara Reddy, Narayanam Balaji 2025-08-26T03:14:34Z 置信度 0.70