بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
spatial modeling » statistical modeling (توسيع البحث)
cscap algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
spatial modeling » statistical modeling (توسيع البحث)
cscap algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
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201
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
منشور في 2021"…Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"
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202
Methods for system-on-chip test design, scheduling and optimization. (c2006)
منشور في 2006احصل على النص الكامل
احصل على النص الكامل
masterThesis -
203
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"
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204
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
منشور في 2023"…Various machine learning and deep learning-based cyborg intelligence mechanisms have been developed to protect smart city networks by ensuring property, security, and privacy. …"
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205
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
منشور في 2013احصل على النص الكامل
doctoralThesis -
206
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
منشور في 2022"…<p>Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block cipher cryptanalysis, where the bulk of these studies are differential distinguisher based black-box attacks. This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …"
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207
A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
منشور في 2023"…The solution approaches included the genetic algorithm (GA), particle swarm optimization (PSO), and the non-dominated sorting genetic algorithm (NSGA-II). …"
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208
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209
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
منشور في 2020"…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…"
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210
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211
Phased Array Technique for Brain Source Localization
منشور في 2012احصل على النص الكامل
doctoralThesis -
212
A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM
منشور في 2020"…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …"
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article -
213
Tabu Search For A Class Of Single-Machine Scheduling Problems
منشور في 2020"…The performance of the developed algorithm is tested for solving the variance minimization problem. …"
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article -
214
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215
Net energy–cost optimization of STPV–PDRC integrated greenhouses: Balancing energy production and cooling demand under crop-specific DLI constraints
منشور في 2025"…An improved equilibrium optimizer (IEO) algorithm was employed to solve the multi-objective problem. …"
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216
Turbo-charging dominating set with an FPT subroutine
منشور في 2017"…Turbo-charging is a recent algorithmic technique that is based on the fixed-parameter tractability of the dynamic versions of some problems as a way to improve heuristics. …"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
217
Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
218
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
منشور في 2019"…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
219
Regression testing C# programs. (c2007)
منشور في 2007احصل على النص الكامل
احصل على النص الكامل
masterThesis -
220
A new estimator and approach for estimating the subpopulation parameters
منشور في 2021"…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …"