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检索条件"任意字段=2nd International Conference on Pattern Recognition and Machine Intelligence"

共 6962 条记录，以下是11-20 订阅

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AAIA 2024 - conference Proceedings: 2024 2nd international conference on Advances in Artificial intelligence and Applications

AAIA 2024 - Conference Proceedings: 2024 2nd International C...

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2nd international conference on Advances in Artificial intelligence and Applications, AAIA 2024

ISBN: (纸本)9798400712883

The proceedings contain 44 papers. The topics discussed include: fault diagnosis of telecommunications base station equipments based on neural network;multi-hop graph and synergistic attention convolutional fusion network for hyperspectral image classification;fracture parameters inversion of hydraulic fracturing based on deep learning neural network;a method of image interpretation for a new type of calibration target;an image denoising algorithm based on multi-scale residual channel attention network;a rapid recognition method for transformer partial discharge fault patterns based on improved DSCNN;and accurate solution of a mode-superposition inverse problem based on deep learning and particle swarm optimization.

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Proceedings of 2024 2nd international conference on Artificial intelligence, Systems and Network Security, AISNS 2024

Proceedings of 2024 2nd International Conference on Artifici...

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2nd international conference on Artificial intelligence, Systems and Network Security, AISNS 2024

ISBN: (纸本)9798400711237

The proceedings contain 57 papers. The topics discussed include: water quality pH prediction study based on improved Ceemdan and RLNNA;research on the military application and development suggestions of artificial intelligence;vision-based leader-follower formation control for mobile robots;research and application of e-commerce marketing fraud detection method based on graph neural network;machine learning-based income inequality prediction: a case study;an experimental study of the tones of Guangxi Fu Yang official dialect based on computer technology;significance target detection based on improved pool net;research on profit prediction of backup clamps for conductors and ground wires in transmission line engineering based on machine learning;and interactive exhibition design and application of museums under virtual simulation technology.

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KPI-based enterprise management decision-making system Artificial intelligence Generated Content modeling 24

KPI-based enterprise management decision-making system Artif...

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2nd international conference on Communication Networks and machine Learning, CNML 2024

作者： Wei, Xueling Guangxi Engineering Vocational College Baise China Guangxi Perception Internet of Things Productivity Promotion Center Nanning China

ISBN: (纸本)9798400711688

In terms of business decision-making, there are still issues to be resolved regarding the intelligence of key performance indicators. To address this technical problem, from the perspective of Artificial intelligence Generated Content, modeling methods such as support vector machines, random search, and machine learning for key performance indicators (KPI) in business decision-making systems have been proposed. The system integrates with large language models, driving the generative efficiency and accuracy of KPI data cleaning, feature extraction, and model optimization training. Using MATLAB to conduct predictive simulation experiments on the integrated system, compared to general information systems for KPIs that do not utilize large language models or Artificial intelligence Generated Content, the volume of reference data for business decision-making based on large language models increased by 93.61 times, and decision-making efficiency improved by 36.59%, indicating that the Artificial intelligence Generated Content modeling scheme for business decision-making systems based on operational KPIs is feasible. © 2024 Copyright held by the owner/author(s).

关键词： Efficiency

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2nd international conference on Next-Generation Computing and Information Systems, ICNGCIS 2023

2nd International Conference on Next-Generation Computing an...

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2nd international conference on Next-Generation Computing and Information Systems, ICNGCIS 2023

ISBN: (纸本)9781032738659

The proceedings contain papers. The special focus in this conference is on . The topics include: Impact of artificial intelligence on high-penetration renewable physical infrastructure;collaborative attacks and defense;building a safe and secure metaverse;distributed-computing based versatile healthcare services framework for diagnostic markers;supervised context-aware Latent Dirichlet allocation-based drug recommendation model;combination kernel support vector machine based digital twin model for prediction of dyslexia in distributed environment;Time series analysis of vegetation change using remote sensing, GIS and FB prophet;advances in smart farming for precision agriculture: Green-IoT and machine learning as a solution;Towards a serverless computing and edge-intelligence architecture for the Personal-Internet-of-Things (PIoT);IOT and developed deep learning based road accident detection system and societal knowledge management;Healthcare CAD model for hierarchical processing of surgical navigation system;applicability of eye tracking technology in virtual keyboard for human-computer interactions;a digital twin framework for smart contract-based DeFi applications in the metaverse: Towards interoperability, service scaleup & resilience;a novel approach to glass identification using ensemble learning for forensics;deep learning-based cognitive digital twin system for wrist pulse diagnostic and classification;Multi-class instance segmentation for the detection of cervical cancer cells using modified mask RCNN;dilated convolution model for lightweight neural network;artificial intelligence based Monte Carlo model for epidemic forecasting for societal aspect;efficient data visualization through novel recurrent neural network-based dimension reduction;An optimized CNN-based model for pneumonia detection;EEG-based emotion recognition: Leveraging CNNs for precision;A seven layer DNN approach for social-media multilevel image-based text classification.

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Achieving pattern Hidden Symmetric Searchable Encryption Based on Oblivious Polynomial Evaluation 24

Achieving Pattern Hidden Symmetric Searchable Encryption Bas...

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2nd international conference on Artificial intelligence, Systems and Network Security, AISNS 2024

作者： Hu, Yiwei Cao, Zhenfu Dong, Xiaolei Shen, Jiachen Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China

ISBN: (纸本)9798400711237

This paper proposes a symmetric searchable encryption scheme that hides both search pattern and access pattern. The protocol allows users to obtain correct search results on ciphertexts without leaking privacy. We introduce an efficient and secure Oblivious polynomial evaluation protocol (ESOPE) to achieve pattern hiding. Compared to existing schemes, our approach eliminates the need for auxiliary participants, thereby reducing the risk of privacy breaches. Moreover, our protocol demonstrates significant improvements in both time efficiency and storage efficiency across datasets of various sizes. © 2024 Copyright held by the owner/author(s).

关键词： Ciphertext

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Result pattern Hiding Conjunctive Search Scheme with Verifiability 24

Result Pattern Hiding Conjunctive Search Scheme with Verifia...

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2nd international conference on Artificial intelligence, Systems and Network Security, AISNS 2024

作者： Zhu, Yanzhe Mei, Lin Xu, Chungen Liu, Hanyong School of Cyber Science and Engineering Nanjing University of Science and Technology Jiangsu Nanjing China School of Mathematics and Statistics Nanjing University of Science and Technology Jiangsu Nanjing China

ISBN: (纸本)9798400711237

Dynamic symmetric searchable encryption (DSSE) schemes that support conjunctive search enable users to perform searches on encrypted data while allowing client-side data updates. However, recent attacks have demonstrated that leakage of result pattern during conjunctive searches can compromise data privacy. Additionally, cloud servers may return incorrect or incomplete results, further exacerbating privacy concerns. In order to solve the problems, this paper proposes a verifiable DSSE scheme called VRHCS that supports conjunctive search functionality and incorporates a result-hiding filter to prevent result pattern leakage. Experimental evaluations reveal that VRHCS achieves improved performance in terms of security and efficiency compared to existing approaches. © 2024 Copyright held by the owner/author(s).

关键词： Information hiding

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Comparative Study of Artificial intelligence Approaches in Deceptive Opinion Detection 2

Comparative Study of Artificial Intelligence Approaches in D...

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2nd international conference on Computational intelligence, Communication Technology and Networking, CICTN 2025

作者： Mewada, Arvind Maurya, Sushil Kumar Ansari, Mohd. Aquib Bennett University Greater Noida India Siksha 'O' Anusandhan Bhubaneswar India

ISBN: (纸本)9798331530389

The deceptive opinion spam directly threatens the integrity of online review platforms, which in turn erodes consumer trust and fair competition. In this study, we explore and compare the performance of traditional machine learning models such as Logistic Regression (LR), Support Vector machine (SVM) as well as recently released advanced deep learning models (BiLSTM, BERT, XLNet, T5, Capsule Networks) to detect deceptive reviews. The research tests different feature representations (unigrams, bigrams, trigrams, TF-IDF) as baseline augmented performance metrics using datasets such as Deceptive Opinion Spam Corpus. The XLNet led all models with the highest performance at 89.69% accuracy and 90.03% F1 score, emerging as the most effective on aggregate. The BERT T5 models provided high precision, BiLSTM served the purpose with balanced performance, and Capsule Networks demonstrated its promise in capturing hierarchical relationship structures in text data. As a result, this study contributes to opinion spam detection by suggesting good solutions and open tracks for future refinements, such as hybrid model development or domain-specific fine-tuning. © 2025 IEEE.

关键词： Adversarial machine learning

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Bridging Healthcare Gaps: Sustainable Liver Disease Diagnosis Using machine Learning in Resource-Limited Regions 2

Bridging Healthcare Gaps: Sustainable Liver Disease Diagnosi...

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2nd international conference on Computational intelligence, Communication Technology and Networking, CICTN 2025

作者： Jha, Kunal Ali, Hasim Sharma, Akshat Fatima, Neda School of Computer Applications Manav Rachna International Institute of Research and Studies Faridabad India

ISBN: (纸本)9798331530389

Liver disease is a major global health issue, and proper diagnosis at the right time is crucial for treatment. This paper discusses machine learning methodologies in the detection and diagnosis of liver diseases such as hepatitis, cirrhosis, and hepatocellular carcinoma. It addresses the diagnostic complexities such as nuances in liver function tests and variability in symptoms and explores how ML can leverage diverse data sources, including medical imaging, genetic markers, and clinical data, to improve precision and efficiency. The study applied advanced Python tools and algorithms with 10-fold cross-validation for splitting the dataset. Random Forest had the highest accuracy at 99%, followed by SVM and Gaussian Naive Bayes. The research will provide an affordable diagnostic tool, especially for developing countries with a high burden of liver disease, which will contribute to SDGs 3, 1, 10, and 9 through improved access to healthcare, reduction of economic burdens, and innovation. The future directions are multimodal data integration and personalized diagnostic systems for further improving the outcomes in patients. © 2025 IEEE.

关键词： clinical data diagnosis machine learning prognosis

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2nd Decision Science Alliance international Summer conference, DSA ISC 2024

2nd Decision Science Alliance International Summer Conferenc...

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2nd Decision Science Alliance international Summer conference, DSA ISC 2024

ISBN: (纸本)9783031782374

The proceedings contain 71 papers. The special focus in this conference is on Decision Science Alliance. The topics include: A Systematic Literature Review on Conversational AI’s Influence in Consumer Behavior;creativity, Innovation and Decision-Making in Marketing;AI-Boosted Decision Techniques for Strategy Formulation and Implementation;sustainable Optimization of Construction Project Portfolio Management Through a Data-Driven Approach;artificial intelligence in Marketing Strategic Decisions via Product Portfolio Optimization;challenges of Artificial intelligence in Strategic Decisions: Talent Management;tourist Routes Recommender System Supported by Artificial intelligence;Using Data Analytics, machine Learning, and KPIs for Urban Planning and Design;Product Portfolio Rationalization via SKU Deletion: A Framework;decision Science for Personalized Medicine: Data-Driven and Model-Driven Methods;AI-Enhanced Decision-Making in Childhood Obesity Interventions;on the Evaluation of the Degree of Disability of the Elderly: A Case Study;innovative Approaches to Analyze Truck Dwell Times in Seaport Environments;Emotion recognition from Text and Audio Dataset Using Cumulative Attribute Graph Neural Networks (CA-GNN);estimating Solid Waste Generation in Tenerife by machine Learning Models;generic Planning Algorithm Adaptable for Order Decision to Automated Clinical Analysis Equipment;conceptual Design of a Decision Support System for the Allocation of Electric Vehicle Charging Stations;virus machines at Work: Computations of Workflow patterns;integrating Simulation Budget Management into Drum-Buffer-Rope: A Study on Parametrization and Reducing Computational Effort;a New Characterization of the Kendall Space of Planar Shapes;GIS Analysis to Support Low Carbon Heating;enhancing Predictive Models in Insurance: A Feature Selection Analysis;spatial Interpolation Model With Covariates Using Thin Plate Splines;The Trigger Arc TSP: Optimise the Picking Process in Warehouses with Co

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2nd Decision Science Alliance international Summer conference, DSA ISC 2024

2nd Decision Science Alliance International Summer Conferenc...

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2nd Decision Science Alliance international Summer conference, DSA ISC 2024

ISBN: (纸本)9783031782404

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