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241
AI-Based Anomaly Detection and Optimization Framework for Blockchain Smart Contracts
Published 2025-04-01“…In this study, we propose an AI-based optimization framework that enhances the efficiency and security of blockchain smart contracts. …”
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242
Performance of massive MIMO‐NOMA systems with low complexity group SIC receivers and low‐resolution ADCs
Published 2024-11-01“…Employing the additive quantization noise model, we derive asymptotic approximate expressions of the spectrum efficiency for the system with group successive interference cancellation (GSIC) receivers over Rician fading channels. …”
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243
Digital identification and adulteration analysis of Codonopsis Radix and Stellariae Radix based on the “digital identity” of chemical compositions
Published 2024-11-01“…Finally, the above “digital identities” of CR and SR were used as benchmarks for matching positive samples and market samples to provide feedback on the matching credibility (MC) for identification and adulteration analysis.ResultsThe results showed that based on the “digital identities” of CR and SR, the digital identification of CR, SR, and positive samples can be realized at the individual level of TCM efficiently and accurately, even if 3% of SR in the mixed samples can still be identified efficiently and accurately. …”
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244
Two-Step Single Slope/SAR ADC with Error Correction for CMOS Image Sensor
Published 2014-01-01“…The measurement results show that the energy efficiency figure-of-merit (FOM) of the proposed ADC core is only 125 pJ/sample under 1.4 V power supply and the chip area efficiency is 84 k μm2·cycles/sample.…”
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245
Surface State Treatment of Carbon Dots Using Sulphur Dioxide Isotherm
Published 2022-01-01“…The proposed method shows 8.5% efficiency in relative fluorescence intensity and 8% efficiency in terms of photoluminescence intensity.…”
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246
Federated Collaborative Learning with Sparse Gradients for Heterogeneous Data on Resource-Constrained Devices
Published 2024-12-01“…Extensive experiments demonstrate that the proposed algorithm achieves high classification efficiency, effectively addressing the challenges posed by data heterogeneity.…”
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247
An innovative traffic flow detection model based on temporal video frame analysis and grayscale aggregation quantification
Published 2024-12-01“…Additionally, the model improves computing resource efficiency by approximately 72.5% and demonstrates substantial real‐time detection capabilities.…”
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248
Visual Positioning Detection of EMU Brake Pad Based on Deep Learning
Published 2024-12-01“…To address the issues of low efficiency, missed and false detections in the manual inspection of EMU (electric multiple unit) brake pads, it is necessary to study visual positioning detection methods for EMU brake pads. …”
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249
Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources
Published 2025-07-01“…., tools, workers), technological breaks, and time quantization. Key results include determining order feasibility, identifying unfulfilled order components, minimizing costs, shortening deadlines, and assessing feasibility in the absence of available resources. …”
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250
On-Chip Photonic Convolutional Processing Lights Up Fourier Neural Operator
Published 2025-03-01“…Fourier Neural Operators (FNOs) have gained increasing attention for their effectiveness in extracting frequencydomain features and efficiently approximating functions, making them wellsuited for classification tasks. …”
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251
Leveraging Edge Intelligence for Solar Energy Management in Smart Grids
Published 2025-01-01“…The proposed model leveraged TCN’s capability to capture long-range temporal dependencies and GRU’s efficiency in sequential data processing. To optimize performance for edge computing environments, we employed Neural Architecture Search, model pruning, and quantization techniques, reducing both model size and complexity. …”
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252
Effects of Hybridizing the U-Net Neural Network in Traffic Lane Detection Process
Published 2025-07-01“…Future research should investigate model compression techniques, such as knowledge distillation, pruning, or quantization, to improve efficiency without sacrificing accuracy.…”
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253
Accelerating Streaming Subgraph Matching via Vector Databases
Published 2025-01-01“…The streaming subgraph matching problem, an extension of this task, aims to efficiently process queries in a stream with minimal latency. …”
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254
Research progress in globular fruit picking recognition algorithm based on deep learning
Published 2025-02-01“…In the training and deployment phase of the algorithm, the first-stage object detection algorithm uses pruning and quantization techniques to reduce the model size, which is suitable for running in mobile devices or embedded systems with limited resources. …”
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255
Deploying AI on Edge: Advancement and Challenges in Edge Intelligence
Published 2025-06-01“…Although edge intelligence methods have been proposed to alleviate the computational and storage burdens, they still face multiple persistent challenges, such as large-scale model deployment, poor interpretability, privacy and security vulnerabilities, and energy efficiency constraints. This article systematically reviews the current advancements in edge intelligence technologies, highlights key enabling techniques including model sparsity, quantization, knowledge distillation, neural architecture search, and federated learning, and explores their applications in industrial, automotive, healthcare, and consumer domains. …”
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256
Adaptive Lossy Color Image Compression System Based on Hybrid Algorithm
Published 2024-12-01“…To implement this proposed method three experiments were performed by using images of varying dimensions, namely (256 * 256), (512 * 512), and (1024 * 1024) and four different quantization coefficients. For efficiency performance measurement of the proposed system, three metrics were used: Peak signal-to-noise ratio (PSNR), Structural similarity index (SSIM), and compression ratio (CR). …”
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257
Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma.
Published 2014-01-01“…First- and second-order angular independent statistical approaches and rotation invariant local phase quantization (RI-LPQ) were utilized to quantify texture information. …”
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258
A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs)
Published 2025-01-01“…This paper presents a comprehensive survey of video compression optimization techniques, focusing on Quantization Parameter (QP), Frames per Second (FPS), Entropy Coding, and Motion Estimation for video analytics tasks. …”
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259
Consistent Quality in Video Coding: A Perceptual RDO and Neural Network-Based QP Prediction Approach
Published 2025-01-01“…Second, we propose a novel VMAF-QP (quantization parameter) neural network that learns how QP can be adjusted to achieve a certain VMAF grade. …”
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260
An autonomous vehicles’ test case extraction method: Example of vehicle-to-pedestrian scenarios
Published 2025-01-01“…This paper proposes a novel method to enhance scenario adaptation by integrating quantization weights with a new clustering algorithm. …”
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