Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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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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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

"…Finally, the algorithm is stress tested for performance using a simulation of high-traffic event streams.…"
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Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…Conformance checking compares a process model and recorded executions of a process, i.e., a log of traces. …"
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An Event-Triggered Robust Attitude Control of Flexible Spacecraft With Modified Rodrigues Parameters Under Limited Communication حسب Syed Muhammad Amrr (16855557)

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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Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

"…Therefore, in this paper we propose the usage of historical charging data in conjunction with weather, traffic, and events data to predict EV session duration and energy consumption using popular machine learning algorithms including random forest, SVM, XGBoost and deep neural networks. …"
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Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

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Automatic Video Summarization Using HEVC and CNN Features حسب Issa, Obada

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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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Metaheuristic algorithm for testing web 2.0 applications. (c2012) حسب Zeitunlian, Hratch Michel

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Simulation and optimization of ant colony optimization algorithm for the stochastic uncapacitated location-allocation problem حسب El Khoury, John

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Fault-Tolerant Network Topologies for Datacenters حسب Attia, Heba Mahmoud Helal

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Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems حسب J. Prasanth Ram (19499062)

"…Performance of the proposed reconfiguration model is tested for four various shade events and its row current evaluations are comprehensively analyzed. …"

Boosting the visibility of services in microservice architecture حسب Ahmet Vedat Tokmak (17773479)

"…We utilized parameter optimization techniques, namely Grid Search, Random Search, Bayes Search, Halvin Grid Search, and Halvin Random Search to fine-tune the hyperparameters of our classifier models. Experimental results demonstrated that the CatBoost algorithm achieved the highest level of accuracy (90.42%) in predicting microservice quality.…"