Comparative Study on Arabic Text Classification: Challenges and Opportunities حسب Abualigah, Laith

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Optimizing Energy Consumption In Cloud Datacenters حسب Khan, Mueez Ahmad

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CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments حسب Ishaq Ansari (22047902)

"…We propose a cooperative, load-balancing task allocation and scheduling algorithm based on sequential single-item auctions (CoLoSSI) that explicitly considers the non-atomicity of tasks, promotes synergies between agents, and enables cooperation while maintaining computational tractability. …"

A systematic review of text classification research based on deep learning models in Arabic language حسب Wahdan, Ahlam

"…Classifying or categorizing texts is the process by which documents are classified into groups by subject, title, author, etc. …"
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Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

Segmenting Handwritten Arabic Text حسب Haraty, Ramzi A.

"…In this work a technique is presented that segments difficult handwritten Arabic text. A conventional algorithm is used for the initial segmentation of the text into connected blocks of characters. …"
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An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. …"

Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies. …"
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Starvation Problem in CPU Scheduling for Multimedia Systems حسب Salah, Khaled

"…In this paper, we briefly describe three of the popular multimedia scheduling algorithms. We compare and discuss how adequate each algorithm is in handling the issue of starvation. …"
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A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text حسب Haraty, Ramzi

"…A conventional algorithm is used for the initial segmentation of the text into connected blocks of characters. …"
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Supervised term-category feature weighting for improved text classification حسب Attieh, Joseph

"…Text classification is a central task in Natural Language Processing (NLP) that aims at categorizing text documents into predefined classes or categories. …"
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Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.…"
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Energy-Aware Qos Scheduling at Mac Level in Wimax حسب Al Nourani , Sanabel

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Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters حسب Farhan, Abid

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Web Based Online Hybrid Teaching Method of Network Music Course حسب Abu Zitar, Raed

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A neuro-heuristic approach for segmenting handwritten Arabic text. (c2001) حسب Hamid, Alaa A.

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Sentiment Mining of Arabic Twitter Data حسب Ahmed, Soha Galalaldin Khider

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Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…This is a notable improvement over the previous best known algorithm, which runs in O(8kn). In addition to the structural and algorithmic results, this text tries to illustrate the practicality of fixed-parameter algorithms. …"
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Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

"…Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …"
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