The advances towards 5G and 6G technologies in modern wireless communication systems have increased the demand for strong transmission and reception of signals over fading channels. The work provided in the contributi...
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India, known for its heavy reliance on agriculture with 70% of its population engaged in farming, places great importance on crops like paddy. However, agricultural productivity faces challenges due to uncontrollable ...
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This article is devoted to the determination of the fractal size of the damaged part of the human brain on the basis of images obtained from MRI (magnetic resonance imaging). There are various mathematical methods for...
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One of the main challenges in real-time object detection and tracking is the need for high computational efficiency. Researchers are constantly developing more effective and competitive algorithms as a result of its e...
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Abstract: This article discusses current problems of the synthesis of new materials in modern conditions. Today this is the most important strategic task for the innovative development of Russian industry. The factors...
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The computational schemes that are supposed to be used in the processes of processing operational information in real-time systems are considered. Two algorithms for scheduling jobs that do not allow interruption and ...
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A method is introduced for computermodeling of traffic at a signalized intersection of urban roads treated as a random process. It is based on the use of statistical dependencies for temporal headways between subsequ...
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The proceedings contain 40 papers. The special focus in this conference is on Smart Applications and Data Analysis for Smart Cyber Physical systems. The topics include: modeling and Managing Product Unavailability Ris...
ISBN:
(纸本)9783031770425
The proceedings contain 40 papers. The special focus in this conference is on Smart Applications and Data Analysis for Smart Cyber Physical systems. The topics include: modeling and Managing Product Unavailability Risk in Inventory Through a Fuzzy Bayesian Network;a Binary Particle Swarm Optimization Based Hybrid Feature Selection Method for Accident Severity Prediction;The Integration of NLP and Topic-modeling-Based Machine Learning Approaches for Arabic Mobile App Review Classification;feature Selection for High-Dimensional Gene Expression Data: A Review;legal Contract Quality and Validity Assessment Through the Bayesian Networks;Optimizing Recommendation systems in E-Learning: Synergistic Integration of Lang Chain, GPT Models, and Retrieval Augmented Generation (RAG);Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning;fuzzy Bayesian Network Applied to modeling Vehicles Cooling systems Failure Risk;Utilization of FMECA to Optimize Predictive Maintenance;comprehensive Study on Sentiment Analysis: Insights Into Data Preprocessing, Feature Extraction, and Deep Learning Model Selection;A Combined AHP-TOPSIS Model for the Selection of Employees for Promotion;towards Explainable Models: Explaining Black-Box Models;Advanced NLP and N-Gram Techniques in Financial News Sentiment Analysis: Diverse Machine Learning Approaches;comparative Study of Feature Selection Algorithms for Cardiovascular Disease Prediction with Artificial Neural Networks;ensemble Learning for Malware Detection;Enhancing Security Through Data Analysis and Visualization with ELK;Industry 4.0 Efficiency: Predictive Maintenance with TinyML and an Incremental Model;Tiny-ML and IoT Based Early Covid19 Detection Wearable System.
Consumers, regulators, and ISPs all use client-based "speed tests"to measure network performance, both in single-user settings and in aggregate. Two prevalent speed tests, Ookla's Speedtest and Measureme...
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Brain tumors are one of the most serious and potentially fatal diseases in the world, to have any hope of being successfully treated it is imperative that they be discovered early. Conventional diagnostic methods such...
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