Software defect prediction. (c2019) حسب Moussa, Rebecca

"…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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Condenser capacity and hyperbolic perimeter حسب Mohamed M.S. Nasser (16931772)

"…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …"

H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling حسب Peixoto, Eduardo

"…Then, two types of mode mapping algorithms are proposed. In the first solution, a single H.264/AVC coding parameter is used to determine the outgoing HEVC partitions using dynamic thresholding. …"
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Axes-Based Encryption Key حسب Haidar, Imane

"…This paper introduces a new approach in cryptography based on the distribution of data using an x-y key function. The approach is based on concepts: transforming data, distributing data, and XORing it with other data. …"
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A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications حسب Sharafeddine, Sanaa

"…We evaluate and optimize the performance of the proposed adaptive compression scheme using experimental measurements in different scenarios and as a function of various parameters. …"
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Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation حسب Jahed, Karim

"…We demonstrate the functionality of the proposed system on Android devices using heterogeneous networks (cellular/WiFi/WiFi-Direct) and show the formation of multiple clusters to allow for scalable operation. …"
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying حسب Tekli, Joe

"…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …"
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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition حسب Abboud, Ralph

"…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …"
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Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

"…This is achieved by predicting subsequent tokens, such as keywords, variable names, types, function names, operators, and more. Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …"

Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics حسب Abbas Khan (5141000)

"…Hence, the current study focuses on the screening of clinically reported substitutions in the <i>RAF1</i> and <i>RAP1A</i> genes using predictive algorithms integrated with all‐atoms simulation, essential dynamics, and binding free energy methods. …"

Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks حسب Abbas, Nadine

"…We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity.…"
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Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review حسب Yazeed Yasin Ghadi (16667109)

"…Furthermore, this study also focuses on different Machine learning algorithms that are used to secure wireless sensor networks. …"

A quadratic kernel for 3-set packing حسب Abu-Khzam, Faisal N.

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The architecture of a highly reconfigurable RISC dataflow array processor حسب Sait, Sadiq M.

"…The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. The processor array is modelled at the behavioural level in VHDl. …"
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ELISSAR. (c1997) حسب Nasreddine, Diana M.

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DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

"…Unlike standard machine learning approaches such as PCA, LDA, SVM, RF, GBM etc, DeepRaman functions independently, requiring no human interaction, and can be used to much smaller datasets than traditional CNNs. …"
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IoT-Based Sustainable Parking Lot حسب Binmahfooz, Abdullah

"…The access control system employs a combination of vehicle detection and plate recognition algorithms to identify and authenticate vehicles entering and exiting the parking lot. …"
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Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia حسب Hanan Ehtewish (17149825)

"…This pilot study aimed to investigate the plasma proteome profile and identify a panel of various protein biomarkers for dementia. We used a high-throughput proximity extension immunoassay to quantify 1090 proteins in 122 participants (22 with dementia, 64 with mild cognitive impairment (MCI), and 36 controls with normal cognitive function). …"

Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces حسب Uzair Sajjad (19646296)

"…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …"