Results 41 to 50 of about 1,005,453 (288)

Federated Learning Backdoor Attack Based on Frequency Domain Injection

Entropy
Federated learning (FL) is a distributed machine learning framework that enables scattered participants to collaboratively train machine learning models without revealing information to other participants. Due to its distributed nature, FL is susceptible
Jiawang Liu, Changgen Peng, Weijie Tan, Chenghui Shi   +3 more
doaj   +1 more source

Learned Lossless Compression for JPEG via Frequency-Domain Prediction

CoRR, 2023
JPEG images can be further compressed to enhance the storage and transmission of large-scale image datasets. Existing learned lossless compressors for RGB images cannot be well transferred to JPEG images due to the distinguishing distribution of DCT coefficients and raw pixels.
Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong   +5 more
openaire   +2 more sources

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley   +1 more source

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

FEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas, Brigitta Maruzs, Zsófia E. Kálmán, Tomas Klumpler, Gyula Batta, Bálint Péterfia, Zoltán Gáspári   +6 more
wiley   +1 more source

Time-series representation learning via Time-Frequency Fusion Contrasting

Frontiers in Artificial Intelligence
Time series is a typical data type in numerous domains; however, labeling large amounts of time series data can be costly and time-consuming. Learning effective representation from unlabeled time series data is a challenging task.
Wenbo Zhao, Ling Fan
doaj   +1 more source

Deep learning-based LPI radar signals analysis and identification using a Nyquist Folding Receiver architecture

Defence Technology, 2023
Nyquist Folding Receiver (NYFR) is a perceptron structure that realizes a low probability of intercept (LPI) signal analog to information. Aiming at the problem of LPI radar signal receiving, the time domain, frequency domain, and time-frequency domain ...
Tao Wan, Kai-li Jiang, Hao Ji, Bin Tang
doaj   +1 more source

Adaptive Dual-domain Learning for Underwater Image Enhancement [PDF]

AAAI Conference on Artificial Intelligence
Recently, learning-based Underwater Image Enhancement (UIE) methods have demonstrated promising performance. However, existing learning-based methods still face two challenges.
Lintao Peng, Liheng Bian
semanticscholar   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Identification of the plant mitochondrial OrfX protein: A mass spectrometry approach

FEBS Letters, EarlyView.
The mitochondrial genome of plants contains an open reading frame, orfx, which encodes a rare protein that has so far escaped mass spectrometric detection. The protein resembles the c‐subunit of bacterial twin‐arginine‐motif‐dependent protein translocases (TatC).
Matthias Döring, Jan de Jonge, Hans‐Peter Braun, Nils Rugen   +3 more
wiley   +1 more source

Single-image Super-resolution Reconstruction in Frequency Domain Based on Neighborhood Feature Learning [PDF]

Jisuanji gongcheng, 2017
Aiming at the problem that the interpolation point gray estimation is not accurate in the process of image reconstruction,a single-image super-resolution algorithm in frequency domain based on neighborhood feature learning is proposed in this paper.When ...
SU Fulin,QIAN Sujuan,WEI Linjing,SUN Lianhai
doaj   +1 more source