FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE

Subjects: “…Computer Science & Information Science…”
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PRELIMINARY STUDY ON ARTIFICIAL INTELLIGENCE METHODS FOR CYBERSECURITY THREAT DETECTION INCOMPUTER NETWORKS BASED ON RAWDATA PACKETS

Subjects: “…Computer Science & Information Science…”
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CHARACTERISTIC SKY BACKGROUND FEATURES AROUND GALAXY MERGERS

Subjects: “…Computer Science & Information Science…”
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DEVELOPING ARTIFICIAL INTELLIGENCE IN THE CLOUD: THE AI INFN PLATFORM

Subjects: “…Computer Science & Information Science…”
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A NETWORK-BASED COMPUTATIONALPIPELINE TO STUDY THE VARIABILITY OFTRANSCRIPTOME PROFILES FOR HUMANDISEASES

Subjects: “…Computer Science & Information Science…”
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AQMLATOR – AN AUTO QUANTUM MACHINE LEARNING E-PLATFORM

Subjects: “…Computer Science & Information Science…”
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RECONSTRUCTION OF MUON BUNDLES IN KM3NET DETECTORS USING MACHINE LEARNING METHODS

Subjects: “…Computer Science & Information Science…”
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IMPROVING PET SCANNER TIME-OF-FLIGHTRESOLUTION USING ADDITIONAL PROMPT PHOTON

Subjects: “…Computer Science & Information Science…”
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Modified honey bee algorithm with random selection of virtual machines for dynamic load balancing

Subjects: “…Computer Science & Information Science…”
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TOWARD RAM FORENSICS SUPPORTEDBY MACHINE-LEARNING METHODS

Subjects: “…Computer Science & Information Science…”
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THE BENEFITS OF TESTING SOFTWARE IN SE RESEARCH: LESSONS LEARNED FROM TWO PhD PROJECTS

Subjects: “…Computer Science & Information Science…”
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Developing explainablemachine learning model usingaugmented concept activation vector

Subjects: “…Computer Science & Information Science…”
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OPTCHAIN: AN ADVANCED OPTIMIZATION METHOD FOR ENHANCING IOT DATA SECURITY VIA BLOCKCHAIN

Subjects: “…Computer Science & Information Science…”
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PSO-WESRGAN: A NOVEL DOCUMENT IMAGE SUPER RESOLUTION

Subjects: “…Computer Science & Information Science…”
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Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using Multi-Layer Perceptron and LSTM

Subjects: “…Computer Science & Information Science…”
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A PARALLEL APPROACH FOR METAHEURISTICS SOLVING THE LABS PROBLEM USING CPU AND GPU

Subjects: “…Computer Science & Information Science…”
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GDPKG-LLM: Integrating Gene, Disease, and Pharmacogenomics Knowledge Graphs for Cognitive Neuroscience Using Large Language Models

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Information - Modern Theories

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Anaphora solved Ad-Dl-Bert model for text summarization with auto encoding using the topic description and several priors (ATDS) approach

Subjects: “…Computer Science & Information Science…”
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Intrusion detection using federated learning with neural networks

Subjects: “…Computer Science & Information Science…”
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