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encoding algorithm » cosine algorithm (توسيع البحث)
data detection » data injection (توسيع البحث)
element » elements (توسيع البحث)
encoding algorithm » cosine algorithm (توسيع البحث)
data detection » data injection (توسيع البحث)
element » elements (توسيع البحث)
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161
A geometric-primitives-based compression scheme for testingsystems-on-a-chip
منشور في 2001"…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data…"
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article -
162
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
منشور في 2025"…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
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163
A survey and comparison of wormhole routing techniques in a meshnetworks
منشور في 1997"…These multiprocessing systems consist of processing elements or nodes which are connected together by interconnection networks in various topologies. …"
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article -
164
Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
منشور في 2022"…Three reviewers independently extracted data from the included studies. A narrative approach was used for data synthesis.…"
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165
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
166
Bridge Structural Health Monitoring Using Mobile Sensor Networks
منشور في 2022احصل على النص الكامل
doctoralThesis -
167
Dynamic adaptation for video streaming over mobile devices. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
168
Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE
منشور في 2022"…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
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169
Using Social Network Analysis to Study Business Partnerships
منشور في 2018"…The resulting weighted undirected network is analysed using community detection algorithms. Characteristics of the top seven communities discovered from the 2015 data are discussed for which common social network motifs are captured. …"
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170
Query acceleration in distributed database systems
منشور في 2001"…Query optimization strategies aim to minimize the cost of transferring data across networks. Many techniques and algorithms have been proposed to optimize queries. …"
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article -
171
A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
منشور في 2025"…The collection of digital images for monitoring underwater habitats, such as seagrass meadows, has increased significantly as recent progress in imaging technology has made it easier to collect high-resolution data. The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …"
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172
Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review
منشور في 2023"…Irrespective of the adopted processes for corrosion monitoring, it was concluded that none of these methods represent an optimum solution by itself, where employing a combination of multiple systems is one way of optimizing its results. New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
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173
Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
174
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
منشور في 2024"…Dialect Speech Sentiment Analysis is an evolutional field where machine learning algorithms are utilized to detect emotions in spoken language. …"
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175
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
منشور في 2025"…Artificial intelligence (AI), with its ability to process vast amounts of data and detect intricate patterns, offers a solution to the limitations of traditional mammography, including missed diagnoses and false positives. …"
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176
Multidimensional Gains for Stochastic Approximation
منشور في 2019"…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
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article -
177
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis
منشور في 2022"…Studies that examined the performance (accuracy, sensitivity, and specificity) of any ML algorithm in detecting pathological voice samples were included. …"
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178
A Navigation and Control System for a Robot in Indoor/Outdoor Environments
منشور في 2016احصل على النص الكامل
doctoralThesis -
179
Developing an online hate classifier for multiple social media platforms
منشور في 2020"…Although researchers have found that hate is a problem across multiple platforms, there is a lack of models for online hate detection using multi-platform data. To address this research gap, we collect a total of 197,566 comments from four platforms: YouTube, Reddit, Wikipedia, and Twitter, with 80% of the comments labeled as non-hateful and the remaining 20% labeled as hateful. …"
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180
DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins
منشور في 2025"…ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …"
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article