بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements rd » elements _ (توسيع البحث)
level using » level fusion (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements rd » elements _ (توسيع البحث)
level using » level fusion (توسيع البحث)
-
301
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
منشور في 2024"…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …"
-
302
Reinforcement R-learning model for time scheduling of on-demand fog placement
منشور في 2020"…Therefore, there is a need for an intelligent model capable of scheduling fog placement based on the user’s requests. In this paper, we propose a Fog Scheduling Decision model based on reinforcement R-learning, which focuses on studying the behavior of service requesters and produces a suitable fog placement schedule based on the concept of average reward. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
303
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
-
304
FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT
منشور في 2006"…SE is hybridized with force directed algorithm to speed-up the search. The proposed schemes are compared with previously presented SE based heuristics. …"
احصل على النص الكامل
article -
305
An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks
منشور في 2022"…An improved hybrid particle swarm optimization algorithm (IHPSO) is proposed for the load controller to provide fast convergence and robust optimization results. …"
-
306
Nonlinear Friction Identification of A Linear Voice Coil DC Motor
منشور في 2015احصل على النص الكامل
doctoralThesis -
307
Condenser capacity and hyperbolic perimeter
منشور في 2022"…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …"
-
308
Machine Learning Techniques for Pharmaceutical Bioinformatics
منشور في 2018"…The study integrates knowledge visualization, analysis, as well as development of a predictive model based on the Drug-Drug Interactions (DDIs) as a complex network. …"
احصل على النص الكامل
-
309
From Collatz Conjecture to chaos and hash function
منشور في 2023"…Most Chaos-based hash functions are insecure or inefficient due to their dependence on complex, attacked multi-dimensional maps or uncertain, weak one-dimensional maps like logistic and tent. …"
-
310
Single-channel speech denoising by masking the colored spectrograms
منشور في 2025"…Similarly, it offers an improvement of 1 % in STOI and a reduction of 33 and 200 times, respectively, in network size and training epochs when compared to a complex variational U-Net-based model. Also, with comparable PESQ, the proposed system offers almost 2 % improvement in STOI, and a 2 times reduction in network size and 100 times reduction in training epochs, when compared to a lightweight system using automatic dimension reduction of network layers by a structured pruning method.…"
-
311
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
منشور في 2023"…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …"
احصل على النص الكامل
احصل على النص الكامل
-
312
Failure recovery in wireless content distribution networks with device-to-device cooperation
منشور في 2017"…In this work, we focus on failure recovery and scalability in wireless content distribution networks with device-to-device cooperation, where a number of mobile devices in a given geographical area are interested in downloading a common content from an application service provider. We present low complexity effective algorithms based on clustering and tree construction methods in order to address three different types of dynamic node behavior, namely new devices joining the network, existing devices leaving the network, and existing devices moving locally within the network. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
313
Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks
منشور في 2019"…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
314
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…Given the complexity of the pile/soil interaction problem in pile driving and the limitations of the one-dimensional wave equation analysis, the present research should be viewed as an effort towards finding a more general solution based on a continuum analysis.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
315
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
منشور في 2019"…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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
316
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
منشور في 2011"…The proposed scheme monitors the signal strength level during the file transfer process and compresses data blocks on-the-fly only whenever energy reduction gain is expected. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
317
A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation
منشور في 2023"…Conventional methods, which are used to solve state estimation on the transmission level, require the grid to be observable. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
318
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
منشور في 2020احصل على النص الكامل
doctoralThesis -
319
The role of Reinforcement Learning in software testing
منشور في 2023"…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"
-
320
A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
منشور في 2025"…However, traditional monitoring methods can be labor-intensive and costly, especially in complex underwater environments. Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …"