Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

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A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer حسب M. Z. Yildiz (16855476)

"…The results of the analysis have shown that the proposed encryption algorithm can be used in identification and verification systems. …"

Learning-Based Space-Time Adaptive Processing حسب El Khatib, Alaa

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Process Mining over Unordered Event Streams حسب Awad, Ahmed

"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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A geometric-primitives-based compression scheme for testingsystems-on-a-chip حسب El-Maleh, A.

"…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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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns حسب Md Ferdous Wahid (13485799)

"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"

NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES حسب Al-Garni, Ahmed Z.

"…Three years of data are used for model building and validation. …"
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Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation حسب Saqr Khalil Saeed Thabet (19517560)

"…At low power usage, the proposed method could achieve a PSNR gain of up to 1.5 dB over SoftCast and even a 1.789 dB gain over a distortion-resource algorithm, using less than 1.4% of the bandwidth.</p><h2>Other Information</h2><p dir="ltr">Published in: Applied Sciences<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/app12105047" target="_blank">https://dx.doi.org/10.3390/app12105047</a></p>…"

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine حسب Shomope, Ibrahim

"…The type of algorithm employed to predict drug release from liposomes plays an important role in affecting the accuracy. …"
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FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK حسب Al-Garni, Ahmed Z.

"…Three years of data are used for model building and validation. …"
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Information Warfare حسب Haraty, Ramzi A.

"…The algorithm is based on data dependency and uses a single matrix that will be later used during recovery.…"
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A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants حسب Khan, T.

"…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …"
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Generic metadata representation framework for social-based event detection, description, and linkage حسب Abebe, Minale A.

"…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
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Design and development of an embedded controller for roboticmanipulator حسب Bakhashwain, J.M.

"…Since the manipulator speed is limited by the mechanical constraints of the robot arm, the system's throughout should be optimized for generation of the required control law based on the data received from the robot's position sensors. …"
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A new approach and faster exact methods for the maximum common subgraph problem حسب Abu-Khzam, Faisal N.

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Multilayer perceptron-based DFE with lattice structure حسب Zerguine,, Azzedine

"…The drawback of the MLP-based equalizers is, however, their slow rate of convergence, which limit their use in practical systems. In this work, the effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. …"

Multilayer perceptron-based DFE with lattice structure حسب Zerguine, A.

"…The drawback of the MLP-based equalizers is, however, their slow rate of convergence, which limit their use in practical systems. In this work, the effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. …"
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A microscale evaluation of pavement roughness effects for asset management حسب El Khoury, John

"…The results of the study validate the relationship between acceleration/road roughness and fuel consumption. Finally, using the described technology, a pothole detection algorithm is devised to automatically map road roughness, a step towards a better asset management system.…"
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