SEARCH ENGINES AND GENERATIVE ARTIFICIAL INTELLIGENCE INTEGRATION: PUBLIC HEALTH RISKS AND RECOMMENDATIONS TO SAFEGUARD CONSUMERS ONLINE

Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

BackgroundThe online pharmacy market is growing, with legitimate online pharmacies offering advantages such as convenience and accessibility.However, this increased demand has attracted malicious actors into this space, leading to the proliferation of illegal vendors that use deceptive techniques to rank higher in search results and pose serious pu

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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks

Soybean yield prediction is one of the most critical activities for increasing agricultural productivity and ensuring food security.Traditional models often underestimate yields because of limitations associated with single data sources and simplistic model architectures.These prevent complex, multifaceted factors influencing crop growth and yield

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Localization strategies for autonomous mobile robots: A review

Localization forms the heart of various autonomous mobile robots.For efficient navigation, these robots need to adopt effective localization strategy.This paper, presents a comprehensive review on localization system, problems, principle and approaches Receivers for mobile robots.First, we classify the localization problems in to three categories b

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Experimental investigation on the effect of mixed acids etched nickel foam electrode on performance of an alkaline direct ethanol fuel cell

The three-dimensional porous materials represented by nickel foam have broad application prospects in the fuel cell field due to their excellent physical properties (high conductivity, high porosity and high specific Receivers surface area, etc.).However, the smooth nickel foam skeleton not only limits the loadable amount of active materials, but a

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