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681
Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
Published 2023“…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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682
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683
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …”
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684
Improving the security of SNMP in wireless networks
Published 2017“…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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conferenceObject -
685
Robustness evaluation of real-Time Protocols
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686
Computational evluation of protein energy functions
Published 2014“…Our findings show that the CHARMM energy model tends to be more appropriate for ab initio computational techniques that predict protein structures. …”
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687
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688
Estimation of power grid topology parameters through pilot signals
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689
Robustness testing of composed real-time systems
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690
A machine learning approach for localization in cellular environments
Published 2018“…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. The proposed localization scheme integrates a weighted K-nearest neighbor (WKNN) and a multilayer neural network. …”
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691
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692
The architecture of a highly reconfigurable RISC dataflow array processor
Published 2020“…This processor forms an element of a processor array which possess the features of both static and dynamic dataflow models. The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. …”
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693
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694
Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
Published 2023“…The most frequently used data set from open sources was Depresjon. The most commonly used algorithm was random forest, followed by support vector machine.…”
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695
Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis
Published 2024“…Chi-squared and one-way analysis of variance were used to compare BW/PW groups and the best regression model was selected using a genetic and backward stepwise algorithm.…”
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696
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
Published 2023“…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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697
Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis
Published 2023“…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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698
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A pragmatic approach for testing robustness on real-time component based systems
Published 2005“…Each tester is dedicated to test a single SUT component. A test execution algorithm with an approach to handle testers coordination and execution delay is presented. …”
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700
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Published 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. …”
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