Search alternatives:
selection algorithm » detection algorithms (Expand Search), prediction algorithms (Expand Search)
code selection » node selection (Expand Search), model selection (Expand Search), wide selection (Expand Search)
code detection » score detection (Expand Search), case detection (Expand Search), wide detection (Expand Search)
selection algorithm » detection algorithms (Expand Search), prediction algorithms (Expand Search)
code selection » node selection (Expand Search), model selection (Expand Search), wide selection (Expand Search)
code detection » score detection (Expand Search), case detection (Expand Search), wide detection (Expand Search)
-
341
-
342
-
343
Parameters used in simulation and their values.
Published 2025“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”
-
344
Summary of related work.
Published 2025“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”
-
345
Smart irrigation based WSN system model.
Published 2025“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”
-
346
Figure data.
Published 2025“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”
-
347
-
348
-
349
Structure of the Dynamic Downsampling module.
Published 2025“…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
-
350
UAV aerial image samples of insulator.
Published 2025“…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
-
351
General framework of the proposed TLINet.
Published 2025“…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
-
352
Initialization Parameters Of Our Method.
Published 2025“…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
-
353
Details of the five public datasets.
Published 2025“…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
-
354
Integrated Error Correction to Enhance Efficiency of Digital Data Storage Based on DNA Nanostructures
Published 2025“…Here, we present an integrated error correction (IEC) algorithm that synergistically combines three enhanced mechanisms: the “head–tail” region Levenshtein distance for error-tolerant clustering (10× faster); sliding window-optimized Hamming distance for error detection and correction of insertions and deletions without length constraints; and score-weighted majority voting for optimal sequence selection (2% higher accuracy), collectively enhancing storage density and decoding efficiency. …”
-
355
-
356
-
357
-
358
YOLO11 network architecture.
Published 2025“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
-
359
Heatmap comparison on SSDD dataset.
Published 2025“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
-
360
Dataset specifications.
Published 2025“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”