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201
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
Published 2022“…In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. The actions and rewards for the proposed algorithm are selected carefully to guide the agent to its objective. …”
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masterThesis -
202
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
Published 2011“…The proposed scheme monitors the signal strength level during the file transfer process and compresses data blocks on-the-fly only whenever energy reduction gain is expected. …”
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203
Scrambled Prime Key Encryption
Published 2018“…To enhance data security different cryptographic algorithms are used. Nevertheless, but the fast increase in computers' speed may threaten these algorithms. …”
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conferenceObject -
204
Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review
Published 2024“…Furthermore, this study also focuses on different Machine learning algorithms that are used to secure wireless sensor networks. …”
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205
Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks
Published 2023“…The proposed solution was compared with three puncturing baseline reference algorithms and the performance was evaluated in terms of eMBB Sum throughput and Fairness level. …”
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206
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207
An intelligent EPROM silicon compiler
Published 1991“…A knowledge-based kernel determines the chip architecture and required circuit blocks and calls appropriate module generators for each block. Routing algorithms are then used to connect these blocks into a full chip…”
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208
Multigrid solvers in reconfigurable hardware. (c2006)
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masterThesis -
209
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
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210
Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
Published 2025“…Additionally, we devise a rationale generation algorithm that achieves a balance between succinctness and informativeness. …”
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211
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213
Software defect prediction. (c2019)
Published 2019“…One that focuses on predicting defect in software modules using a hybrid heuristic - a combination of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). …”
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masterThesis -
214
Communications in electronic textile systems
Published 2017“…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
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conferenceObject -
215
Dynamic multiple node failure recovery in distributed storage systems
Published 2018“…Our daily lives are getting more and more dependent on data centers and distributed storage systems in general, whether at the business or at the personal level. With the advent of fog computing, personal mobile devices in a given geographical area may also comprise a very dynamic distributed storage system. …”
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216
Modelling of pollutant transport in compound open channels
Published 1998“…Longitudinal and transverse mixing coefficients were calculated using the method of moments and by estimation using empirical relationships. …”
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masterThesis -
217
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
Published 2022“…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. The latter is used to draw out load characteristics using daily intent-driven moments of user consumption actions. …”
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218
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
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219
Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review
Published 2023“…</p><h3>Conclusion</h3><p dir="ltr">This study demonstrated the potential of AI as a valuable complement for planning TKA, exhibiting a satisfactory level of reliability in predicting TKA implant sizes. …”
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220
Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
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doctoralThesis