the proceedings contain 41 papers. the special focus in this conference is on Soft Computing and datamining. the topics include: Minimal data for60;Maximum Impact: An Indonesian Part-of-Speech Tagging Case Study;a...
ISBN:
(纸本)9783031669644
the proceedings contain 41 papers. the special focus in this conference is on Soft Computing and datamining. the topics include: Minimal data for Maximum Impact: An Indonesian Part-of-Speech Tagging Case Study;alleviating Sparsity to Enhance Group Recommendation with Cross-Linked Domain Model;evaluating Deep Transfer learning Models for Detecting Various Face Mask Wearings;classification of Stunting Events: Case Study in West Java, Indonesia;the Effects of data Reduction Using Rough Set theory on Logistic Regression Model;robust Heart Disease Prognosis: Integrating Extended Isolation Forest Outlier Detection with Advanced Prediction Models;overlapping Granular Clustering: Application in Fuzzy Rule-Based Classification;improved Rough-Multiple Regression for Unemployment Rate Model in Indonesia;utilizing machinelearning for Gene Expression data: Incorporating Gene Sequencing, K-Mer Counting and Asymmetric N-Grams Features;Text Sentiment Analysis on VIX’s Impact on Market Sentiment Dynamics;multilevel Monte Carlo Simulation Model for Air Pollution Index Prediction of a Smart Network;an In-Depth Strategy using Deep Generative Adversarial Networks for Addressing the Cold Start in Movie Recommendation Systems;predicting Undergraduate Academic Success withmachinelearning Approaches;comparative Assessment of Facial Expression recognition Models for Unraveling Emotional Signals with Convolutional Neural Networks;Evaluating Path-Finding Algorithms for Real-Time Route Recommendation System Built using FreeRTOS;machinelearning-Based Phishing Website Detection: A Comparative Analysis and Web Application Development;Comparative Performance of Multi-level Pre-trained Embeddings on CNN, LSTM and CNN-LSTM for Hate Speech and Offensive Language Detection;improved Classifier Chain Method Based on Particle Swarm Optimization and Genetic Algorithm for Multilabel Classification Problem;sentiment Analysis on Umrah Packages Review in Malaysia.
Alzheimer’s disease (AD) is a brain-degenerative mental illness defined by growing forgetfulness. It also includes the loss of cognitive and behavioural characteristics. this research aims at developing a machine lea...
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the proceedings contain 296 papers. the topics discussed include: design of obstacle avoidance algorithm for mobile robots in crowd environment empowered by deep reinforcement learning;research on IT fault prediction ...
ISBN:
(纸本)9798350389418
the proceedings contain 296 papers. the topics discussed include: design of obstacle avoidance algorithm for mobile robots in crowd environment empowered by deep reinforcement learning;research on IT fault prediction and diagnosis algorithm based on generative intelligent model;surface defect detection based on machinelearning and data augmentation;research on improved facial emotion recognition model with multi-head attention mechanism in lightweight environment;research on gradual fault prediction of current transformers based on machinelearning algorithms;research on automatic annotation and classification of video content based on machinelearning;research on fast acquisition and tracking algorithm of high dynamic weak spread spectrum signal;and table-based asymmetric coil design method for high misalignment tolerance.
learning representations via self-supervision has emerged as a powerful framework for deriving features for automatically recognizing activities using wearables. the current de-facto protocol involves performing pre-t...
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ISBN:
(纸本)9798350375510;9798350375503
learning representations via self-supervision has emerged as a powerful framework for deriving features for automatically recognizing activities using wearables. the current de-facto protocol involves performing pre-training on (large-scale) data recorded from human participants. this requires effort as recruiting participants and subsequently collecting data is both expensive and time-consuming. In this paper, we investigate the feasibility of an alternate source of data for its suitability to lead to useful representations, one that requires substantially lower effort for data collection. Specifically, we examine whether data collected by affixing sensors on running machinery, i.e., recording non-human movements/vibrations can also be utilized for self-supervised human activity recognition. We perform an extensive evaluation of utilizing data collected on a washing machine as the source and observe that state-of-the-art methods perform surprisingly well relative to when utilizing large-scale human movement data, obtaining within 5-6% F1-score on some target datasets, and exceeding on others. In scenarios with limited access to annotations, models trained on the washing-machinedata perform comparably or better than end-to-end training, thereby indicating their feasibility and potential for recognizing activities. these results are significant and promising because they have the potential to substantially lower the efforts necessary for deriving effective wearables-based human activity recognition systems.
In order to increase automation, strengthen decision- making, and improve efficiency while reducing costs and maintaining precision, the development of intelligent machinery is becoming more and more dependent on the ...
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Attention mechanisms have revolutionized machinelearning (ML), particularly in Natural Language Processing (NLP). these mechanisms enable models to selectively focus on crucial parts of the input data, improving perf...
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this research study analyzes the different datamining techniques used for the detection of credit card frauds. Additionally, different datamining techniques are properly described in this study. the steps of data mi...
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the proceedings contain 46 papers. the special focus in this conference is on Smart Computing and Informatics. the topics include: Resilient Domain Authentication Framework for Enhancing Digital Identity Security;traf...
ISBN:
(纸本)9789819619801
the proceedings contain 46 papers. the special focus in this conference is on Smart Computing and Informatics. the topics include: Resilient Domain Authentication Framework for Enhancing Digital Identity Security;traffic Sign Detection withpatternrecognition Techniques Using Image Processing;exploring Advanced Techniques in Natural Language Processing and machinelearning for In-depth Analysis of Insurance Claims;Network Intrusion Detection with SMOTE-ENN and Deep learning Techniques;leveraging Transfer learning to Enhance Location Accuracy in Mapping Services: A Case Study of Google Maps;assessment of Enhanced Email Spam Detection System through machinelearning Algorithms;machinelearning Methods for Predicting Traffic Congestion Forecasting;hybridization of Computational Intelligence Algorithm for Scheduling of Tasks and Balancing of Load in Cloud Network;MDSV: Mobs Detection by Enhanced Fused Feature Base Deep Neural Network from Surveillance Camera;ioT-Based Solution for Enhanced Tracking of Individuals Living with Dementia;a Novel Task Scheduling Algorithm in Heterogeneous Multi-cloud Environment;Evaluating the Integration and Usage of AI in Higher Education;evaluating the Connectional Benefits of Artificial Intelligence in the Digital Classroom;Influence of AI as an Aspect of Modern Education Era in Present World;Hilbert–Huang Transform Framework-Based Email and SMS Spam Detection;the Advancement and Utilization of Artificial Intelligence and machinelearning in the Financial Industry and Its Impact on Macro and Microeconomics;analysis on the Cutting-Edge Approach to Assess Artificial Intelligence’s Educational Consequences in Contemporary Studies;data Analytics in Sales and Marketing: A Comprehensive Methodology for Business Analysts;Wireless Energy Transfer for UAV (Drone) Using machinelearning.
In the era of cybersecurity, Biometric recognition systems are used in a variety of applications, including access control and forensic investigation. this paper presents a novel biometric authentication technique in ...
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As online social platforms continue to proliferate, the menace of social spam has become a pressing concern, necessitating effective detection mechanisms. this chapter provides a comprehensive review of the current la...
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