
38 Artikel
A Highly Selective Real-Time Electroanalytical Detection of Sulfide Via Laser-Induced Graphene Sensor
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Experimental Validation: Perception and Localization Systems for Autonomous Vehicles using the Extended Kalman Filter Algorithm
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Comparison of outlier detection approaches in a Smart Cities sensor data context
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Adaptive block size selection in a hybrid image compression algorithm employing the DCT and SVD
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Forecasting the development of the industrial complex: Southern Federal District
Detection of insulation degradation by-products in transformer oil using ZnO coated IDC sensor
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A temperature measurement technique using optical channel as a signal transmitting media
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Recent Advances in PCG Signal Analysis using AI: A Review
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Explainable AI for binary and multi-class classification of leukemia using a modified transfer learning ensemble model
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Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Barrier Function-Based Integral Sliding Mode Controller Design for a Single-Link Rotary Flexible Joint Robot
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A Holistic review and performance evaluation of unsupervised learning methods for network anomaly detection
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Analyzing recent trends in deep-learning approaches: a review on urban environmental hazards and disaster studies for monitoring, management, and mitigation toward sustainability
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Medical nearest-word embedding technique implemented using an unsupervised machine learning approach for Bengali language
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Development of a portable electronic nose for the classification of tea quality based on tea dregs aroma
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Investigation of torque and sensitivity analysis of a two-phase hybrid stepper motor
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The Importance of AI-Enabled Internet of everything Services for Smart Home Management
Explainable deep learning model for predicting money laundering transactions
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Machine Learning-based GIS Model for 2D and 3D Vehicular Noise Modelling in a Data-scarce Environment
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Comparative study of deep learning explainability and causal ai for fraud detection
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Navigating the Complexity of Money Laundering: Anti–money Laundering Advancements with AI/ML Insights
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Predicting Vehicle Pose in Six Degrees of Freedom from Single Image in Real-World Traffic Environments Using Deep Pretrained Convolutional Networks and Modified Centernet
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Evaluating the Adaptability of Large Language Models for Knowledge-aware Question and Answering
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Design and Implementation of Low Power and High Data Rate Edge Coded Signaling Architecture for IoT Devices
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Feasibility analysis of wireless power delivery to implanted sensors of XLIF patients
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Development of an IoT-Based Smart Watering System for Monitoring and Increasing Soil Moisture Content in “Tabtim Siam” Pomelo Garden in Pak Phanang District, Nakhon Si Thammarat Province, Southern Thailand
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Comparative analysis of versatile temperature-controlled systems using fuzzy logic controllers
Enhanced cryptographic performance and security using optimized edward-elgamal signature scheme for IoT and blockchain applications
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Extended Authentication Based on Geometric Patterns and Transformations
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A CNN–LSTM-based deep learning model for early prediction of student’s performance
PIR sensor-based automatic solar-powered UVC LED sterilizer lamp
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Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers
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Advancement of agro-economy and synthetic agro-data generation using creative AI and drone technology
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