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201
A Channel-Adaptive Range-Doppler Domain Filtering Serial BAQ Algorithm and Comparative Analysis
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202
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203
A Deep Learning-Driven Solution to Limited-Feedback MIMO Relaying Systems
Published 2025-07-01“…By harnessing binary feedback information from the implemented DNNs together with efficient beamforming vectors, a novel approach to the resulting problem is presented. …”
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204
Holographic Screens in Ultraviolet Self-Complete Quantum Gravity
Published 2014-01-01“…In agreement with the holographic principle, relevant processes take place on the screen surface. The area quantization leads to a discrete mass spectrum. An analysis of the entropy shows that the minimal holographic screen can store only one byte of information, while in the thermodynamic limit the area law is corrected by a logarithmic term.…”
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205
Visual Positioning Detection of EMU Brake Pad Based on Deep Learning
Published 2024-12-01“…To address the issue of indistinct image features in real-world scenarios, based on the Faster R-CNN (region conventional neural network) algorithm, an edge detection branch is introduced, and a target edge loss function is added to the loss function, integrating edge information from an auxiliary network. Bilinear interpolation is used to calculate feature pixel values, preserving more feature information of the EMU brake pads. …”
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206
An Audio Steganography to Protect data in Text, Images and Audio with Hybrid Encryption Techniques
Published 2025-07-01“…The inquiry looks into White Space and Least Significant Bit (LSB) approaches for text steganography, while Quantization Index Modulation (QIM) is combined with LSB for image steganography. …”
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207
A Novel Hybrid Steganography Approach for Securing Text, Images, and Audio with Robust Encryption in Audio Steganography
Published 2025-04-01“…The inquiry looks into White Space and Least Significant Bit (LSB) approaches for text steganography, while Quantization Index Modulation (QIM) is combined with LSB for image steganography. …”
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208
TR-SNN: a lightweight spiking neural network based on tensor ring decomposition
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209
A survey on fault detection for networked systems under communication constraints
Published 2025-12-01“…With the rapid advancement of information technology, the networked systems (NSs) have found extensive application across various fields. …”
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210
Reduced-Delay Sigma-Delta Filter for Accurate Current Measurement in PWM VSCs
Published 2025-01-01“…This delay is further increased if the SDM's digital filter is designed to attenuate not only the quantization noise but also the pulsewidth modulation (PWM)-related harmonics. …”
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211
A Comparison Between EtC and SPN Systems: The Security Cost of Compatibility in JPEG Images
Published 2024-01-01“…A new image transmission system for JPEG files, EtC with Quantization before Transformation (EtCQT) was developed to test the proposed comparison. …”
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212
KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection
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213
Training multi-layer binary neural networks with random local binary error signals
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214
SAGNet: Small-Target Attention Guided Network for Urban Remote Sensing Image Real-Time Segmentation
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215
Resource Allocation for Federated Learning With Highly Distorted Model
Published 2025-01-01“…Information loss has emerged and escalated as the information bottleneck of a deep encryption model surpasses the entropy of the data and reduces the data reconstruction efficiency at the decoder (i.e., lossy compression and high data encryption). …”
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216
Adaptive Lossy Color Image Compression System Based on Hybrid Algorithm
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217
A Digital Simulation Model of Broadband Phased Array RF System and Its Application
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218
Research on Recommendation Model Based on Multi-round Dialogue of Large Language Model
Published 2025-02-01“…The model uses vector quantization technology to convert user information into user indices, and integrates the language semantics of the large language model with the cooperative semantics of the recommender system through fine-tuning task, which not only learns the user characteristics but also alleviates the problem of semantic differences. …”
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219
THE DISCRETIZATION OF THE POLARIZED SIGNAL
Published 2018-07-01“…In this case, the use of blocks of digital information processing is required. When digitally processing polarized signals, it is necessary to convert the input analog signal to digital form, i.e. to sampled by time and frequency and perform level quantization. …”
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Optimizing encrypted search in the cloud using autoencoder-based query approximation
Published 2024-12-01“…Additional novel techniques proposed include quantization to reduce computation and homomorphic encryption to prevent information leakage. …”
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