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161
Growing hierarchical self-organizing map for filtering intrusion detection alarms
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conferenceObject -
162
Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML
Published 2022“…<p dir="ltr">The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. …”
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163
Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We build our model using machine learning techniques in particular rule-based models. These have a white-box nature which gives the classification as well as the reason for it making them attractive to experts in the domain. …”
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masterThesis -
164
A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
Published 2025“…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …”
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165
Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Published 2015“…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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166
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Published 2023“…Moreover, it is faster and requires fewer parameters to train than other CNN based models, making it a good choice for large-scale deployment in clinical settings and a promising tool for automated lung cancer diagnosis from CT scan images.…”
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167
DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins
Published 2025“…This method offers precise endotoxin classification and holds significant potential for expedited medical diagnoses and therapeutic decision-making in cases of pathogenic infections. ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …”
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168
From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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169
Using machine learning to support students’ academic decisions
Published 2019“…This approach uses other students’ grades to make a prediction. This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …”
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170
Modeling and Control of Nonlinear Systems Using Wavelet Networks
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doctoralThesis -
171
CEAP
Published 2016“…The infrastructureless and decentralized nature of Vehicular Ad Hoc Network (VANET) makes it quite vulnerable to different types of malicious attacks. …”
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172
Multidimensional Gains for Stochastic Approximation
Published 2019“…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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173
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
Published 2023“…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …”
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174
Random vector functional link network: Recent developments, applications, and future directions
Published 2023“…To overcome these issues, randomization based neural networks such as random vector functional link (RVFL) network have been proposed. …”
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175
Applications of fast fourier transform in the integrity evaluation of deep foundations
Published 2016“…The method is developed and validated using experimental data, and is based on applying the fast Fourier transform mapping algorithm on data obtained from cross-hole sonic logging. …”
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176
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
Published 2022“…<p>Promoting healthy discourse on community-based online platforms like Reddit can be challenging, especially when conversations show ominous signs of toxicity. …”
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177
Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks
Published 2019“…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. …”
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178
Cooperative clustering models for Vehicular ad hoc networks. (c2013)
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masterThesis -
179
Optical recognition of electrical circuit drawings
Published 1997Get full text
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180
Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
Published 2025“…<p>Human behavior significantly impacts domestic energy consumption, making it essential to monitor and improve these consumption patterns. …”