IEEEXtreme
TRAINING AND PLACEMENT CELL is a web based application developed in the windows platform for the training and placement department of the college in order to provide the details of its students in a database for the companies to their process of recruitment provided with a proper login. The TRAINING AND PLACEMENT CELL contains all the information about the students. The system stores all the personal information of the students, like their personal details, their aggregate marks, their skill set and their technical skills that are required in the CV to be sent to a company.
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A green screen is a backdrop against which footage is shot to later be
superimposed over a separately-filmed background in a visual effects process
called “chroma keying.” It is also known as chroma key compositing, colorkeying,
or simply keying..
This term describes removing the green screen background in post-production using
video editing software. When the green screen background has been keyed, it'll be
fully transparent..
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The critical impact of coating wear on structural stability and safety has initiated extensive research in the development of real-time coating health monitoring systems for aircraft, naval vessels, and infrastructure. Among the various developed systems, microwave-based systems have garnered significant interest for their real-time and remote operability but struggle with poor localization capabilities over large surfaces.
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Data from vehicles driving on snowy nights reveal a range of challenges and trials. When the vehicle is driving on the snow, it needs a longer braking distance and is easy to lose control. The vehicle's powertrain may be affected by the slippery road surface, which reduces traction. Visibility may be reduced by snow and wind, making it difficult for drivers to see the road and other vehicles. Therefore, when driving on a snowy night, the driver needs to be extra careful, appropriately reduce the speed, maintain a safe distance, and ensure that the vehicle is in good working condition.
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Mobile phones are central to modern communication, yet for individuals with tremors, the precision required for touch-based interfaces is a significant hurdle. In pursuit of social equality and to empower those with tremors to interact more effectively with mobile technology, this study introduces an optical see-through augmented reality (AR) system equipped with a stabilized filter.
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Mobile phones are central to modern communication, yet for individuals with tremors, the precision required for touch-based interfaces is a significant hurdle. In pursuit of social equality and to empower those with tremors to interact more effectively with mobile technology, this study introduces an optical see-through augmented reality (AR) system equipped with a stabilized filter.
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Objective: As one branch of human-computerinteraction, affective Brain-Computer Interfaces (aBCI) interpretand utilize electroencephalogram (EEG) signalsto achieve real-time monitoring and recognition of individualemotional states, opening new possibilities foremotion-aware technologies and applications. However,the challenge of individual differences in EEG emotiondata severely constrains the effectiveness and generalizationcapability of existing models.
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Figure 7 illustrates that the proposed optimized algorithm reaches the optimal cumulative reward value of 41238.8 at the 300th time point, whereas the Greedy algorithm and Random algorithm achieve only 38713 and 29328, respectively. In terms of average reward values, the optimized algorithm is 137.5, the Greedy algorithm is 129, and the Random algorithm is 97.8. IoT technology plays a crucial role in optimizing algorithms by supporting information sharing and interaction among devices. This, in turn, improves the accuracy and efficiency of decision-making.
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The automatic extraction of meetup event information from the Internet can substantially enhance the ease of discovering activities. However, when event organizers share event details across various platforms, including their respective websites, social media, and specialized event-listing sites, different types of events may be distributed across multiple channels.
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This dataset contains a total of 9479 submissions, with 0% correct solutions and 62% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/dalvik/ See the included PDF document for details about the original challenge.
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