In recent years, driven by the new generation of artificial intelligence technology, emotional computing has garnered significant attention and achieved substantial progress. Multimodal emotional computing based on te...
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this paper explores the dependencies between inputs and outputs in deep neural networks under adversarial conditions from the perspective of information theory, particularly focusing on the dependencies on low-frequen...
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Small shops and retail stores in Peru face significant challenges in efficient management due to limited access to technological resources, often relying on error-prone manual processes. this study presents the develo...
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RNA-binding proteins (RBPs) are crucial for numerous cellular processes, with precise identification of RNA-protein binding sites being fundamental to understanding gene regulation mechanisms. this study introduces a ...
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the proceedings contain 74 papers. the special focus in this conference is on Data, Engineering, and Applications. the topics include: Using OpenNLP and GraalVM to Detect Sentences in Kubernetes While Comparing Helido...
ISBN:
(纸本)9789819700363
the proceedings contain 74 papers. the special focus in this conference is on Data, Engineering, and Applications. the topics include: Using OpenNLP and GraalVM to Detect Sentences in Kubernetes While Comparing Helidon and Spring Boot’s Metrics;an Efficient Hybrid Model to Summarize the Text Using Transfer learning;automatic Detection of Learner’s learning Style;construction of an intelligent Knowledge-Based System Using Transformer Model;machine learning-Based Disease Diagnosis Using Body Signals: A Review;finite Difference and Finite Volume 1D Steady-State Heat Conduction Model for Machine learning Algorithms;Sign Language Detection through PCANet and SVM;A Novel Surface Roughness Estimation and optimization Model for Turning Process Using RSM-JAYA Method;effective Prediction of Coronary Heart Disease Using Hybrid Machine learning;feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm;plant Disease Detection Using Machine learning Approaches: A Review;copy–Move Forgery Detection Algorithm: A Machine learning-Based Approach to Detect Image Forgery;a Machine learning-Based Approach to Combat Hate Speech on Social Media;Prediction of SARS-COVID-19 Based on Transfer Machine learning Techniques Using Lungs CT Scan Images;online Document Identification and Verification Using Machine learning Model;Mitigating Partial Shading Condition in PV System for MPPT Using Evolutionary Algorithms;road Safety Modeling: Safe Road for All;AI-Enabled Road Health Monitoring System for Smart Cities;multi-objective Biofilm Algorithm to Resolve optimization Problems;comparative Analysis of Fake News Identification Using Machine learning Methods;a Review of Pre-processing Techniques for Weed-Plant Detection and Classification in Precision Agriculture;utilizing a Finger Vein in Biometric Authentication Mechanism;local Binary Patterns-Based Retinal Disease Screening.
In this paper, a resource allocation algorithm based on capacity maximization for massive Machine Type of Communication (mMTC) is studied. Taking LTE single cell as the background, considering the coexistence of LTE c...
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English oral instruction in traditional classroom settings in non-native English-speaking countries faces limitations due to factors such as teaching resources, instructional methods, and learning environments. Conseq...
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this research investigates the factors influencing income levels using machine learning techniques. Based on a dataset of 48,842 individuals, the study employs LightGBM, Random Forest, and K-Nearest Neighbors algorith...
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A major problem impacting public opinion and decision-making processes worldwide is the rapid spread of false information and fake news. We present a new machine learning model that accurately detects misleading news ...
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Bangla Poems Genre Classification is crucial for understanding and preserving cultural heritage. In this paper, we employ both machine learning and deep learning approaches to classify Bangla poetry genres. Our study ...
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