Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

"…However, at the same time, this has resulted in the emergence of conflict and hate, making online environments uninviting for users. 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. …"

Random vector functional link network: Recent developments, applications, and future directions حسب A.K. Malik (16003193)

"…Moreover, we discuss the different hyperparameter optimization techniques followed in the literature to improve the generalization performance of the RVFL model. Finally, we present potential future research directions/opportunities that can inspire the researchers to improve the RVFL’s architecture and learning algorithm further. …"

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

"…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"

The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review حسب Uzair Shah (15740699)

"…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …"

A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System حسب Mohamed Amjath (17542512)

"…The optimisation problem is formulated as a mixed-integer nonlinear programming (MINLP), falling into the NP-Hard, making exact solution computation challenging. A numerical approximation method, a modified sequential quadratic programming (SQP) method coupled with a mean value analysis (MVA) algorithm, is employed to overcome this challenge. …"

Measuring ripple effect for object-oriented programs. (c2004) حسب Salem, Hani Hassan

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Topology and parameter estimation in power systems through inverter-based broadband stimulations حسب Margossian, Harag

"…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …"
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Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

"…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"

A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs حسب Alabd-Aljabar, Ahmed

"…This highlights the approach’s effectiveness in improving performance without the need to use a deeper model, making it well-suited for clinical adoption where efficiency is important.…"
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems حسب Abdel-Salam, Mahmoud

"…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

"…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…"

Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML حسب Dharmendra Kumar Singh Singh (19517710)

"…<p dir="ltr">The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. …"

Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles حسب Wadi, Ali

"…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
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Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea حسب Issa, Leila

"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

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Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review حسب SHEHADEH, KHADIJA

"…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems حسب Sadjadi, Hossein

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Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

"…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …"
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Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

"…With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …"
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