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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "A time-frequency feature" (30 stories)

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A time-frequency cross-attention network model for epileptic seizure detection
Lead StoryNaturegeneral
Mar 13

A time-frequency cross-attention network model for epileptic seizure detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE13b3JuWF85R1NfRy1PcWl5MGN6ZjZpZDNzTGlsYXpTU3ZXcmR5N1JmSUk2NnBSS1luWjBfWHhhV1Nxamg0dlBXRmNjTTNuY3BjZ1BSYmhEQW5udk1WaGhR?oc=5" target="_blank">A time-frequency cross-attention network model for epileptic seizure detection</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "A time-frequency feature"

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29 stories displayed
Contrasting time-frequency representations for unknown waveform detection
EurekAlert! Science News Releasesworld

Contrasting time-frequency representations for unknown waveform detection

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE1wVTNOWHVGYTF4ZzJ1LTdBYTRsaGcwbXp2emVHczVLNkhIcW9wVXFnaFphVWNNc2VjMGs0MWVJWDBicEJkOERKYy1wd2swOVd5Um1PTHBiZ2FWQTI2?oc=5" target="_blank">Contrasting time-frequency representations for unknown waveform detection</a>  <font color="#6f6f6f">EurekAlert! Science News Releases</font>

Classification of infrasonic signals based on time-frequency representation
Frontiersgeneral

Classification of infrasonic signals based on time-frequency representation

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxQVHNERWJ6SVpnQ1UySU5ZLVJrTngteGFaWkRnX05renhDUEZNTlEwZFRVQ205UllvMkg1T1JQd2VxQjhVT2ppZm5zRHF1MXo2djBpSkZ1WF9xMlkzclVpOXJoVkpvclF1R0tvd2VRZjNvY2NNal9xTzVSSFVQdmt1dGc5R1FWdG14emJQUkxSczFZLXh4dG9BZ1NlYw?oc=5" target="_blank">Classification of infrasonic signals based on time-frequency representation</a>  <font color="#6f6f6f">Frontiers</font>

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
The Association for the Advancement of Artificial Intelligencegeneral

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE9xREhxQ1ZnaHRIVlJ2LURZZXpMQ05nLXJnanBxR0tQdWxIOXphb1lmTnBmWVd5MVN3Rk9lRVVBdjZRWjhPNGlfdUR2Z2RGb29xNE83TnNUbENpaEQ5TlN4SVNhRmxEV1JiMVI1RQ?oc=5" target="_blank">FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Solar radiation prediction using multivariate signal decomposition and physics-informed time-frequency feature extraction
Naturegeneral

Solar radiation prediction using multivariate signal decomposition and physics-informed time-frequency feature extraction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ReFpVdXk0bXhIeXpQcDFqSE1MZVdRd2tsWHVOMXJDM0kxSjJOMXo2REV1RTVNTGlWU0EySTF3ZVRlQXU3QVo3ZjFUSTRRdWtkazRCRGlWellfZnhKWkxv?oc=5" target="_blank">Solar radiation prediction using multivariate signal decomposition and physics-informed time-frequency feature extraction</a>  <font color="#6f6f6f">Nature</font>

A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition
Frontiersgeneral

A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQS1ZlVUNCSHMzUGlIVlpGV0s4bkxNWmk2NGVMVmpBaWtWN0xkS3RIRGhwb1RCYmVSLWRLLXJMZlk0QmJWQ2pmdlRYX29aWEdZOVlkTW1CcUxYZW9zTi05TjYxZHZYWXBfMTQ4NVRKQkV0X3R6NEE0WG9jWnF5bVBZLVIyNUhtU3RoNDJoVHN4NVI0R3Rs?oc=5" target="_blank">A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition</a>  <font color="#6f6f6f">Frontiers</font>

ZMW-RSVP: a time-frequency prior-guided normalization-free RSVP-BCI decoding model
Naturegeneral

ZMW-RSVP: a time-frequency prior-guided normalization-free RSVP-BCI decoding model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11dUJCMTlQeFlwaXB2Q2gxNHFfVEk4TmxCellDdTdSVDVMWVFob1c2cnVrVW5ERnowOG1INTdNQ3ozZnEtdl82LWs5aEdKS3BqMU05NFlsZVlBZGFtMDFz?oc=5" target="_blank">ZMW-RSVP: a time-frequency prior-guided normalization-free RSVP-BCI decoding model</a>  <font color="#6f6f6f">Nature</font>

FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs
The Association for the Advancement of Artificial Intelligencegeneral

FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9OSXhORFVXUnNOelpwZDI1aWtLOGp4SUJHOE8wVUxoQlIyRFF4MjZ6bVZzM0NmX3BncXBhOXlsaG5tUTJHWXhGNGM3Q0pPQ3VCM0hLOUdpblZmWFo3aldyS3ZYMWU?oc=5" target="_blank">FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

A unified time-frequency foundation model for sleep decoding
Natureworld

A unified time-frequency foundation model for sleep decoding

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1xZWpaQ25VYW1pLWxpdGNTRXdkS1JSallRRldDWDhieENKdmNLcHNCNWdlV3lkZVl6UFRoQy1wdHFnaHhyU2xUX0thSWViVHY3NnR5OGdfWHdyUk9NTXNr?oc=5" target="_blank">A unified time-frequency foundation model for sleep decoding</a>  <font color="#6f6f6f">Nature</font>

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
The Association for the Advancement of Artificial Intelligencegeneral

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE12aGthVVR0UXlSQVdGanJMNmxvMEN6cjNySWUxR0FXVTF4enRoWlpOQndxTElDSnpmMU5SbjBMZThZWTJVd2VKeHQ1RHp0NEszZmFEaGJVejJFczdXWWJ0S0JpYWI?oc=5" target="_blank">FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Influenza forecasting method based on dual-chan nel feature fusion of VMD decomposition
Naturegeneral

Influenza forecasting method based on dual-chan nel feature fusion of VMD decomposition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9WR2tqVlQwcm15U2Jka29rZEFEX2hQSXpZVWlwWkR5bXR5NTVqQ1U0ckVsNUVHc0swc2dCRUNIaE9pV2dKSG9HVWtfSHEtWHRUWTNfRkVTTjRhazJrbDI0?oc=5" target="_blank">Influenza forecasting method based on dual-chan nel feature fusion of VMD decomposition</a>  <font color="#6f6f6f">Nature</font>

M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge
The Association for the Advancement of Artificial Intelligencegeneral

M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBnRlJaS3RXZEJycld6cVVrNlZpNGRKSy1VaTZIY0xTZjRXcXdMYUxjdWlHSk5tV2Nienp1cGVCT3RMd3lEZUN5U3E0ZDBQVFJBeXNiS1gtUEVZV1Bmb0pBZHpyT3U?oc=5" target="_blank">M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Fault detection and diagnosis in photovoltaic systems using artificial intelligence and time–frequency analysis
Naturetech

Fault detection and diagnosis in photovoltaic systems using artificial intelligence and time–frequency analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBkM2VUTFVybFNSeHlWUl9ncW5iTDExOElpT29qX2t4cl90R01yR1c1Mk1rMTFkY1FjVHhmTS1JbnF1ejFPdks0dlZ3Qnh2M3JNSkw0bWN1UXA2cDJucVBv?oc=5" target="_blank">Fault detection and diagnosis in photovoltaic systems using artificial intelligence and time–frequency analysis</a>  <font color="#6f6f6f">Nature</font>

Multi-horizon flight trajectory prediction enabled by time-frequency wavelet transform
Naturegeneral

Multi-horizon flight trajectory prediction enabled by time-frequency wavelet transform

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBSbHBWdXp0cnl0Nk1fWXgxeTNyV1hmTGNNd29QTl9IWXF1NkphUjNRaUVKVDkyQjQtSTQzZ255cm1nampWVjJZZkI1dm1BLXFoR0NtLU9aZDVwRWdzcHJF?oc=5" target="_blank">Multi-horizon flight trajectory prediction enabled by time-frequency wavelet transform</a>  <font color="#6f6f6f">Nature</font>

Estimating cognitive workload in robot assisted surgery using time and frequency features from EEG epochs with random forest regression
Naturegeneral

Estimating cognitive workload in robot assisted surgery using time and frequency features from EEG epochs with random forest regression

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE16MkJSdlZtNGhNLWEzVXIzV2pIUktFdVZYZ2VNMS1aTHdzaFlCUzBEbUxORldYamt1MjBUY3pxSTJsUDBzRVA5SEt5U2xkTmtXN0JUYnFKaFBTN01IMndB?oc=5" target="_blank">Estimating cognitive workload in robot assisted surgery using time and frequency features from EEG epochs with random forest regression</a>  <font color="#6f6f6f">Nature</font>

A rapid detection method for coal dust thickness in heavy-haul railway ballast based on time and frequency domain response characteristics from GPR signal
Naturetech

A rapid detection method for coal dust thickness in heavy-haul railway ballast based on time and frequency domain response characteristics from GPR signal

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5PMUUzU2xjRjJWU29ZemtIMlFxRVkyRmFFOWxwOVVrOW5pRW9JbnRCdEFwUDZ0MEI3UXVfY2NLTDlOYVdPSmtvT0xIOGlnX3VTVDRhWlFWSjlqazIwVllN?oc=5" target="_blank">A rapid detection method for coal dust thickness in heavy-haul railway ballast based on time and frequency domain response characteristics from GPR signal</a>  <font color="#6f6f6f">Nature</font>

Integrating short-time linear canonical transform and joint space-time-frequency analysis for advanced representation of subsurface information in ground penetrating radar
Naturescience

Integrating short-time linear canonical transform and joint space-time-frequency analysis for advanced representation of subsurface information in ground penetrating radar

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5RQUZNUUxlTGJ5a1FBbFM3eHpXQXpnRzRtM3ZwMVpWX2E3endMRk12ME44aS1LdjBBVkw5RmpYUkJVZUZlOVlKNVpteUtJdlRDZ0k3a3RIUUpVOE9fbGpz?oc=5" target="_blank">Integrating short-time linear canonical transform and joint space-time-frequency analysis for advanced representation of subsurface information in ground penetrating radar</a>  <font color="#6f6f6f">Nature</font>

One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions
Natureworld

One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1IbW9XWjQ4Q2VodlROb1ZWSWlkWS11MkVaSlpnRjE0eHNJamYzNlZWa0VfdjJLMktEOHhKMVVZdVpBaWxzNkNzYjFYbHJ2dnVoSm9iekJtZ1FLNG1nRjNZ?oc=5" target="_blank">One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions</a>  <font color="#6f6f6f">Nature</font>

DEP-CEEMDAN-MPE-INHT a time-frequency analysis method for noisy blasting seismic waves with adaptive noise suppression and endpoint processing
Naturegeneral

DEP-CEEMDAN-MPE-INHT a time-frequency analysis method for noisy blasting seismic waves with adaptive noise suppression and endpoint processing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvQTZiZTM0eFd1M3UzcG5DZ0t4RHdRWS1hWm5ZWFdicm9SLTVRTEh2VGhlaUM4TVlpbmQyWVJfekV4OW54b25rekZCMFh2d084SS1HX3Ata0tWTHZINVcw?oc=5" target="_blank">DEP-CEEMDAN-MPE-INHT a time-frequency analysis method for noisy blasting seismic waves with adaptive noise suppression and endpoint processing</a>  <font color="#6f6f6f">Nature</font>

Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting
Naturetech

Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBadWVlN1ZraDVHclFOMWpwX0o0Q09pNHBjaGNya0s2TXc3eXcxaE5OZXNEZ1lnZWJ2X3RiOE5oS0syOFprU0FVMG1VUjFqYUZ4SVZYQUszeGZhTjhURjBv?oc=5" target="_blank">Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting</a>  <font color="#6f6f6f">Nature</font>

Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss
Naturetech

Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81bUI0QkRHOHd5NVdEb2loSzNXejBIX1FNdkNRMlh4S0R2MjB6ZFhVaDVnZm96VkF6WDFEbDlMVXR2T2M0TVZmM3VmRWFWcjlTWE8tOG50aFcwVmtIelJz?oc=5" target="_blank">Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss</a>  <font color="#6f6f6f">Nature</font>

MVB fault diagnosis based on time-frequency analysis and convolutional neural networks
Naturegeneral

MVB fault diagnosis based on time-frequency analysis and convolutional neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE53eWZQTzVnN3NzdkFDRVdVek1DbW1sLWtBUEU0Z09lb1F4YzI3SUU0RnRGQkNpRTIwR1lRRzNGbHZqWHlOc3RNdEhScnhQWTMzY2lVSXhSSmZqeUprbnNz?oc=5" target="_blank">MVB fault diagnosis based on time-frequency analysis and convolutional neural networks</a>  <font color="#6f6f6f">Nature</font>

Refining the time–frequency characteristic of non-stationary signal for improving time–frequency representation under variable speeds
Natureworld

Refining the time–frequency characteristic of non-stationary signal for improving time–frequency representation under variable speeds

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5FYncxaTB1QUNKYTZTMzRfR0ZtU1J5andyZVFEcjhWUkxjTkhobkNzbjU0dzNRZWdNdHFqUlN2eFNqVURVUGhEWk1URzN2dXZyYmhIZnlJQk1TLXEwZzRN?oc=5" target="_blank">Refining the time–frequency characteristic of non-stationary signal for improving time–frequency representation under variable speeds</a>  <font color="#6f6f6f">Nature</font>

An efficient deep learning approach with frequency and channel optimization for underwater acoustic target recognition
Natureworld

An efficient deep learning approach with frequency and channel optimization for underwater acoustic target recognition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5IdzgxbnQwdjdKVlM0WUV2VENLTTZadWtTaGFpTnBOcmhXNDFVUGtWQ280cl92cUVLR3pTblZnNGJjbWRQWlhLQ0dKSFhfNEo5MHQ3TElUM1RrN0ZZd1Zj?oc=5" target="_blank">An efficient deep learning approach with frequency and channel optimization for underwater acoustic target recognition</a>  <font color="#6f6f6f">Nature</font>

Spatial-frequency feature fusion network for small dataset fine-grained image classification
Naturetech

Spatial-frequency feature fusion network for small dataset fine-grained image classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1xbEJKS2x4SjVhclVZbVF3WnhZbnkyMzlkMWhQSEpsYUVQWmxGdTI1N09RamI1TGtmaWhqUWdHaXdla0tOQnBPM0hfZUJHMkJteDZuNkQ2UGpVelhWaG1z?oc=5" target="_blank">Spatial-frequency feature fusion network for small dataset fine-grained image classification</a>  <font color="#6f6f6f">Nature</font>

Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine
Naturetech

Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjem5ZeTVmNmh4NnpTWDljb2tvVWd2SG01QWdmRFE1UWFpSHRRZk15TWIyQ0pXRXc2emhlTlhMODVMRDFpWmhTOXFaMkZvQVFNUG5aSVBIa1NLQi1RMGgw?oc=5" target="_blank">Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine</a>  <font color="#6f6f6f">Nature</font>

User identification system based on 2D CQT spectrogram of EMG with adaptive frequency resolution adjustment
Naturegeneral

User identification system based on 2D CQT spectrogram of EMG with adaptive frequency resolution adjustment

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5jWkdEaW1LR2VFM19pZjlvdGk0RklycjdjRDVubmZCa2RwTXlDNXNMbUVycUZ2ZjNsamlyUVItS0pIVnpzbVFGcUVwUnE0NWRlSXZmNXpLWFRKbmZoTWRV?oc=5" target="_blank">User identification system based on 2D CQT spectrogram of EMG with adaptive frequency resolution adjustment</a>  <font color="#6f6f6f">Nature</font>

Comparative study of time-frequency transformation methods for ECG signal classification
Frontiersgeneral

Comparative study of time-frequency transformation methods for ECG signal classification

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxNeDd2T1J0S1R3bjhTRXp6c0pmMTNqU2tVWVdSclRPOURPVWM2ZzlqQzROZV9zTzdtSHIxU3hmZFd2d1dpYlAwTU5tRVV4WkpaeS1OZ3k4NmZIWEhQc1JvbWpoM1hNTjJGeUtQQW8wZDBjRmhkYVk0eWg1TWRfQWg1UXhoMUNmMm9DQmg0NVhqUUpLX1BUcngxblhyUQ?oc=5" target="_blank">Comparative study of time-frequency transformation methods for ECG signal classification</a>  <font color="#6f6f6f">Frontiers</font>

Intrinsic temporal and spectral mixing in time-resolved terahertz spectroscopy
APS Journalsgeneral

Intrinsic temporal and spectral mixing in time-resolved terahertz spectroscopy

<a href="https://news.google.com/rss/articles/CBMiZkFVX3lxTE9uS1hYZlI0YzI3RXJDb2VzbFJnSkFNczlKU29kQkxEUmxoZHVUNVczT3V1VURWWDFWZFFCZEdPbk94ek8wVTNTakFpNWd4UGJVYUIyelhNVmFyemh4aHB0UDNvOGRoQQ?oc=5" target="_blank">Intrinsic temporal and spectral mixing in time-resolved terahertz spectroscopy</a>  <font color="#6f6f6f">APS Journals</font>

Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis
Frontiersgeneral

Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis

<a href="https://news.google.com/rss/articles/CBMipAFBVV95cUxONkZDaTh1Sm8xTUVXQklReFZkLUdKaERWcVlpWjZ2OGVCZDdQay1PWnQtNnFUeHg0YV8tTnU3NFRhTFVIWXBia01zaEVYb0FGbHo5UHhrZUNNQk9oUkFyeWRMWWNkUVBRam51Z0hERVZGYWZRbE1LTUktSzdQLXZBU01jRkdIZlE1clhCOFZTYkQ1b09iN2tleGtaUWUyNzdjYWFubQ?oc=5" target="_blank">Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis</a>  <font color="#6f6f6f">Frontiers</font>

"A time-frequency feature" — Live Google News Trends & Headlines