The integration of machine learning (ML) techniques into marketing strategies has become increasingly crucial in modern business. Utilizing scientific manuscripts indexed in the Scopus database, this article explores ...
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ISBN:
(纸本)9783031782374;9783031782381
The integration of machine learning (ML) techniques into marketing strategies has become increasingly crucial in modern business. Utilizing scientific manuscripts indexed in the Scopus database, this article explores how this integration is being carried out. Initially, a focused search is undertaken for academic articles containing both the terms "machine learning" and "marketing" in their titles, which yields a pool of 58 papers. These papers have been processed using the Supabase platform. The process has included steps like text refinement and feature extraction. In addition, our study uses two key ML methodologies: topic modeling through NMF and a comparative analysis utilizing the k-means clustering algorithm. Through this analysis, three distinct clusters emerged, thus clarifying how ML techniques are influencing marketing strategies, from enhancing customer segmentation practices to optimizing the effectiveness of advertising campaigns.
There has been significant recent progress to reduce the computational effort of static IR drop analysis using neural networks, and modeling as an image-to-image translation task. A crucial issue is lack of sufficient...
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This paper introduces TradeStrat-ML, a novel framework for stock market trading. It integrates various techniques: technical analysis, hybrid machine learning models, multi-agent-based simulations (MABS), and financia...
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Rockfall, as a more common form of geological disaster in mountainous areas, is caused by geological structure, formation lithology, topography and other factors, and usually appears in natural slopes, artificially ex...
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Subsea boosting is now accepted as one of the most competent artificial lift methods to enhance subsea asset productivity. In many scenarios, it is a technical enabler to unlock resources located at a distance or wate...
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ISBN:
(纸本)9781959025610
Subsea boosting is now accepted as one of the most competent artificial lift methods to enhance subsea asset productivity. In many scenarios, it is a technical enabler to unlock resources located at a distance or water depth where the reservoir energy is not sufficient to naturally produce and transport the fluids to the surface process facility. The Stones system is currently the world's deepest offshore oil and gas project, operating at a water depth of around 2,900 meters (9,500 feet). The subsea boosting system, which includes two 3-MWsingle-phase pumps (SPPs), was deployed in the Gulf of Mexico in 2019. The system boosts the production of a complex reservoir and has to counterbalance the effect of the significant hydrostatic column to maintain the production delivered through eight wells. The vital role of the subsea boosting system for Stones production requires continuous monitoring of the equipment to ensure a maximum uptime and detect unexpected events. Maintenance of rotating machineryis always required at some point in its lifetime. Predictability is critical to be able to plan costly subsea interventions and minimize the time required to install spare equipment. Simple modeling of the subsea pump envelope provided too little resolution to be able to make adequate assessments, especially as the field conditions changed. The solution came from using data and modeling capabilities along with integrated surface facility surveillance. The objective was to provide the asset with the optimal recommendation for production well assurance to determine when a subsea pump would requirere placement on the basis of performance degradation resulting from solids production and the expected production forecast. The deployment of a condition monitoring system enabled subject matter experts (SMEs) from the operator and supplier to collect, visualize, and analyze critical system operational data together. The connection of production and equipment expertise enabled the SMEs
The polyphase motor has good fault tolerant operation due to its inherent multi-phase structure. In order to improve its control performance in transient operation conditions, accurate motor models and parameters are ...
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The proceedings contain 34 papers. The special focus in this conference is on Communication, Device and Networking. The topics include: Mode Suppression in SIW Bandpass Filter for K-Band Applications;slot-Infused Patc...
ISBN:
(纸本)9789819753369
The proceedings contain 34 papers. The special focus in this conference is on Communication, Device and Networking. The topics include: Mode Suppression in SIW Bandpass Filter for K-Band Applications;slot-Infused Patch Antenna with Improved Radiation Characteristics for 5G Millimeter Wave Application;performance Evaluation of Pasapalli and Modified Sierpinski Square Fractal Antennas in X-Band Spectrum;Investigation of Different DGSs for Miniaturized Hexagonal Patch Antennas;Design and analysis of Octogon EBG for Patch Antenna in ISM Band;Performance Evaluation of ISM Circular Patch Antennas with Various Feeding Mechanisms;flexible and Comfortable Textile Antenna for On/Off Body Biomedical Communication;A Unit Gain Approach with Reconfigurable Antenna for ISM Band;A Millimetre-Wave LNA for Défense Covert Warfare Operations and Cybersecurity Applications;ultra-Wide Band Linearized Silicon Radio Frequency Low Noise Amplifier for Diagnosis and Monitoring of Chronic Cases in Healthcare;optimization Design of Microstrip Bandpass Filters for Ultra-Wideband Wireless Communication Based on Distributed Algorithms;speaker Adaptation in Disaster Management Systems: A Comparative Study and Research Gap analysis;optimizing data Center Power Usage: Server Consolidation and Efficient Cooling Techniques;Optimized Frequency control Strategy for an AC Microgrid;optimization of Hydraulic Power Generation System Based on Particle Swarm Optimization Algorithm;modeling and PID control of Unmanned Aerial Vehicles Based on Machine Vision;effectiveness of Blockchain and IoT in Horticulture Crop Supply Chain;IOT Based Gas Level and Leakage Detection for Domestic Applications;an Enhanced Low-Power Coding Technique for Network-on-Chip Links;physical Layer Security analysis for Correlated Nakagami-m Fading Channel;Emergency Message Dissemination Through Efficient Acknowledgment Aggregation Technique with Cloud Based MQTT Over Internet of Vehicles.
The proceedings contain 22 papers. The special focus in this conference is on Engineering of Complex Computer Systems. The topics include: Automated Parameter Determination for Enhancing the Product Configur...
ISBN:
(纸本)9783031664557
The proceedings contain 22 papers. The special focus in this conference is on Engineering of Complex Computer Systems. The topics include: Automated Parameter Determination for Enhancing the Product Configuration System of Renault: An Experience Report;optimal Solution Guided Branching Strategy for Neural Network Branch and Bound Verification;AccMILP: An Approach for Accelerating Neural Network Verification Based on Neuron Importance;Word2Vec-BERT-bmu:Classification of RISC-V Architecture Software Package Build Failures;Test Architecture Generation by Leveraging BERT and control and data Flows;less is More: An Empirical Study of Undersampling Techniques for Technical Debt Prediction;modeling and Verification of Solidity Smart Contracts with the B Method;template-Based Smart Contract Verification: A Case Study on Maritime Transportation Domain;QuanSafe: A DTBN-Based Framework of Quantitative Safety analysis for AADL Models;a Event-B-Based Approach for Schedulability analysis For Real-Time Scheduling Algorithms through Deadlock Detection;Validation of RailML Using ProB;reachability analysis of Concurrent Self-modifying Code;an Iterative Formal Model-Driven Approach to Railway Systems Validation;an Efficient Distributed Dispatching Vehicles Protocol for Intersection Traffic control;confidentiality Management in Complex Systems Design;analyzing Excessive Permission Requests in Google Workspace Add-Ons;formal Verification Techniques for Post-quantum Cryptography: A Systematic Review;autoWeb: Automatically Inferring Web Framework Semantics via Configuration Mutation;safePtrX: Research on Mitigation of Heap-Based Memory Safety Violations for Intel x86-64;towards Efficiently Parallelizing Patch-Space Exploration in Automated Program Repair.
China is actively promoting the development of renewable energy sources such as wind power and photovoltaic to achieve the goal of "carbon neutrality and carbon peaking". However, renewable energy sources su...
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With the development of artificial intelligence (AI) and machine learning (ML) technologies, CAD systems have evolved from simple drawing tools to complex design and analysis platforms. The system is now able to lever...
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