Recent advances on artificial intelligence and learning techniques in cognitive radio networks حسب Abbas, Nadine

"…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …"
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Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation حسب Attieh, Joseph

"…The model produces category-based feature vector representations that are used to augment the document representations and perform the classification task. …"
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Thermal convection of fluid in fractured media حسب Sfeir, Abdallah

"…The computational algorithm is based on the differences between the rates of convective and conductive heat transfers. …"
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Indoor Localization Schemes for Mobile Robots حسب Al-Jarrah, Islam Mohammad-Amin

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Control of cardiac alternans by mechanical and electrical feedback حسب Yapari, Felicia

"…The coupled model includes the active stress which defines the mechanical properties of the tissue and is utilized in the feedback algorithm as an independent input from the pacing based controller realization in alternans annihilation. …"
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CEAP حسب Abdel Wahab, Omar

"…Simulation results show that our model is able to increase the accuracy of detections, enhance the attack detection rate, decrease the false positive rate, and improve the packet delivery ratio in the presence of high mobility compared to the classical SVM-based, Dempster–Shafer-based, and averaging-based detection techniques.…"
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification حسب Jawad Khan (6422669)

"…The selected sentiment features are further refined by applying a wrapper-based backward feature selection method. Finally, for textual sentiment classification, the well-known classification algorithms Support Vector Machine (SVM), Naive Bayes (NB), Generalized Linear Model (GLM) are trained in the ensemble model on the refined sentiment feature set. …"

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

"…The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …"

Pre-production movie rating prediction using machine learning. (c2017) حسب Gerges, Firas Abdallah

"…Results show that machine learning is useful in this domain and genetic algorithms can be used to build prediction models with relatively good performance. …"
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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. …"

Improving the security of SNMP in wireless networks حسب Otrok, H.

"…Three very important security features (authentication, encryption, access control) are added to SNMPv3 under the user-based security model (USM). Symmetric cryptography is used for encryption and one-way cryptography is used for authentication. …"
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Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier حسب JAIN, SWETA

"…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …"
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Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

"…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …"

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

"…Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …"

Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog... حسب Mutasim Baba, Fuad

"…The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. …"
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Robustness testing of composed real-time systems حسب Fouchal, Hacène

"…In this paper, we suggest a methodology for testing robustness of Real-Time Component-Based Systems (RTCBS). A RTCBS system is described as a collection of components where each component is modeled as a Timed Input-Output Automaton (TIOA). …"
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A machine learning approach for localization in cellular environments حسب Abdallah, Ali A.

"…The proposed approach only assumes knowledge of RSS fingerprints of the environment, and does not require knowledge of the cellular base transceiver station (BTS) locations, nor uses any RSS mathematical model. …"
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Estimating Bridge Deterioration Age Using Artificial Neural Networks حسب AL HUSSEIN, ASEEL

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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem حسب Habchi, Wassim

"…Up to now, most of the numerical works dealing with the modeling of the isothermal EHL problem were based on a weak coupling resolution of the Reynolds and elasticity equations (semi-system approach). …"
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …"
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