The proceedings contain 7 papers. The topics discussed include: graph neural network vs. large language model: a comparative analysis for bug report priority and severity prediction;smarter project selection for softw...
ISBN:
(纸本)9798400706752
The proceedings contain 7 papers. The topics discussed include: graph neural network vs. large language model: a comparative analysis for bug report priority and severity prediction;smarter project selection for software engineering research;sociotechnical dynamics in open source smart contract repositories: an exploratory data analysis of curated high market value projects;a curated solidity smart contracts repository of metrics and vulnerability;MoreFixes: a large-scale dataset of CVE fix commits mined through enhanced repository discovery;prioritizing GitHub priority labels;and predicting fairness of ML software configurations.
The proceedings contain 42 papers. The topics discussed include: the development of blockchain-based access control with a decentralized XACML approach: a case study on payment gateway;curriculum vitae matching module...
ISBN:
(纸本)9798331506407
The proceedings contain 42 papers. The topics discussed include: the development of blockchain-based access control with a decentralized XACML approach: a case study on payment gateway;curriculum vitae matching module development using semantic textual similarity in the curriculum vitae screening application;image captioning on diseased chili plants using ResNeXt50 and transformer;a next generation web browser execution environment;explainable artificial intelligence (XAI) application on classification of diseases and symptoms of pest infestation on plants;an initial analysis of newcomers based on labels in contemporary GitHub projects;and use case generator based on user stories.
The proceedings contain 61 papers. The topics discussed include: intelligent customer behavior analysis in the Norwegian market;will sharing metadata leak privacy?;examining and explaining individual fairness in dynam...
ISBN:
(纸本)9798350317152
The proceedings contain 61 papers. The topics discussed include: intelligent customer behavior analysis in the Norwegian market;will sharing metadata leak privacy?;examining and explaining individual fairness in dynamic pricing;towards user-centric graph repairs;directions towards efficient and automated data wrangling with large language models;exploiting individual graph structures to enhance ecological momentary assessment (EMA) forecasting;ReClean: reinforcement learning for automated data cleaning in ML pipelines;Pricefair: on fair scheduling of heterogeneous resources;finding the PG schema of any (semi)structured dataset: a tale of graphs and abstraction;MultiCast: zero-shot multivariate time series forecasting using LLMs;and an empirical evaluation of variable-length record B+Trees on a modern graph database system.
The proceedings contain 497 papers. The topics discussed include: V2V: efficiently synthesizing video results for video queries;an interactive dive into time-series anomaly detection;hit: solving partial index trackin...
ISBN:
(纸本)9798350317152
The proceedings contain 497 papers. The topics discussed include: V2V: efficiently synthesizing video results for video queries;an interactive dive into time-series anomaly detection;hit: solving partial index tracking via hierarchical reinforcement learning;online detection of outstanding quantiles with QuantileFilter;a robust prioritized anomaly detection when not all anomalies are of primary interest;CheckMate: evaluating checkpointing protocols for streaming dataflows;F-TADOC: FPGA-based text analytics directly on compression with HLS;KGLink: a column type annotation method that combines knowledge graph and pre-trained language model;boosting write performance of KV stores: an NVM-enabled storage collaboration approach;and Chat2Query: a zero-shot automatic exploratory data analysis system with large language models.
The proceedings contain 15 papers. The topics discussed include: research on university teaching evaluation information system based on multi-users;SINe: out-of-distribution detection by selecting important neurons;la...
ISBN:
(纸本)9798350388268
The proceedings contain 15 papers. The topics discussed include: research on university teaching evaluation information system based on multi-users;SINe: out-of-distribution detection by selecting important neurons;large language models enhanced client simulation and feedback system for insurance advisors;applying data science in computer vision: detection of malignant and benign cancer tumors;image perception and promotion of Chuancais Museum based on online big data;application and development of digital twins in smart cities;the application and challenges of artificial intelligence in supporting educational innovation;a survey of vision-based fire detection using convolutional neural networks;and AI-driven optimization of insurance sales strategies: challenges and opportunities in China's aging society.
The proceedings contain 157 papers. The topics discussed include: optimizing species recognition in medicinal plants: a comprehensive evaluation of deep learning models;Quora question sincerity detection using BERT-ba...
ISBN:
(纸本)9798350344837
The proceedings contain 157 papers. The topics discussed include: optimizing species recognition in medicinal plants: a comprehensive evaluation of deep learning models;Quora question sincerity detection using BERT-based framework;explainable AI for CNN-LSTM network in PCG-based valvular heart disease diagnosis;symptom-based disease prediction using machine learning;dynamics of cyberbullying on twitter: ML Detection models and the catalytic role of tweets engagement metrics;evaluating CNN–BiLSTM models for LOD predictions;improving design accuracy of a finite impulse response fractional order digital differentiator filter using quantum-inspired evolutionary algorithm;and impact of color image and skeleton plotting on sign language recognition using convolutional neural networks (CNN).
The proceedings contain 14 papers. The topics discussed include: public cloud-base big alarm data analytics platform for large-scale physical security;design and practice of employment intelligence service platform ba...
ISBN:
(纸本)9798400716935
The proceedings contain 14 papers. The topics discussed include: public cloud-base big alarm data analytics platform for large-scale physical security;design and practice of employment intelligence service platform based on big data;big data-based cost accounting system for universities under governmental accounting system: a case study;application of big data of appraisal system: a case study of news discourse on Chinese culture;aggregating neighborhood information of items with knowledge graph and user intent information behind interaction for recommendation;satisfaction evaluation system of Macau attractions based on online evaluation data;multivariate time series forecasting of daily urban water demand using reinforcement learning and gated recurrent unit network;and evaluation of sheet curvature error by particle swarm optimization algorithm based on simulated annealing.
The proceedings contain 20 papers. The topics discussed include: a node role embedding method based on neighborhood clustering coefficient;research on the consistency of foreign table structure based on foreign data w...
ISBN:
(纸本)9798350333145
The proceedings contain 20 papers. The topics discussed include: a node role embedding method based on neighborhood clustering coefficient;research on the consistency of foreign table structure based on foreign data wrapper;deep shared and specific fusion induced multi-view subspace clustering;design of data acquisition and recording device based on load modeling;evaluating the public perception of the national academy of science and technology, Philippines (NAST PHL) through analytics of its social media accounts;a new feature fusion method based on pre-training model for sequence labeling;hydropower signal detection via knowledge graph enhanced by frequent term sets;graph embedding method for node classification guided by structure and attributes;a sentiment analysis of data on outings from mothers with infants and toddlers during the COVID-19 pandemic;and feature selection method based on hybrid multi-strategy pelican optimization algorithm.
The proceedings contain 30 papers. The topics discussed include: from data to learning: the scientific approach to AI-enhanced online course design;implication and inference rules in multivalued logic with network con...
ISBN:
(纸本)9798350313246
The proceedings contain 30 papers. The topics discussed include: from data to learning: the scientific approach to AI-enhanced online course design;implication and inference rules in multivalued logic with network configuration;modern hot water storage technologies for livestock farms;AIOps-driven enhancement of log anomaly detection in unsupervised scenarios;lean six sigma: integrating knowledge, data, and innovation for organizational excellence;key performance indicators in parking guidance information system;application of machine learning and natural language technologies in building semantic search systems: case study of a virtual legal assistant;an efficient hybrid volleyball premier league and antlion metaheuristic algorithm for feature selection;big data processing for Bulgarian healthcare - smart cards and some simulating decisions;and the role of big data in intelligent educational platform: a functional architecture.
The proceedings contain 44 papers. The topics discussed include: analysis and the preliminary design for backend technology of disaster management information system;development of simulator for learning scrum;improvi...
ISBN:
(纸本)9798350381382
The proceedings contain 44 papers. The topics discussed include: analysis and the preliminary design for backend technology of disaster management information system;development of simulator for learning scrum;improving cultural objects portal application usability using user usability evaluation;a static IDE plugin to detect security hotspot for Laravel framework based web application;achieving high-level software component summarization via hierarchical chain-of-thought prompting and static code analysis;aspect-based sentiment analysis model with local sentiment aggregation for online travel reviews;automated chest x-ray report generator using multi-model deep learning approach;comparative analysis of big data utilization at vocational and productivity training centers (BBPVP) and the domestic job market;and comparison machine learning technique for grade classification of exported Cavendish banana.
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