Google ads: effective, a little frustrating, businesses say
For many small business owners, Google is a necessary and successful way to advertise although it can also be expensive and frustrating.
Sep 18, 2019
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Business
For many small business owners, Google is a necessary and successful way to advertise although it can also be expensive and frustrating.
Sep 18, 2019
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Machine learning & AI
Optimization algorithms are pivotal in machine learning and artificial intelligence (AI) in general. For a long time, it has been widely believed that the design/configuration of optimization algorithms is a task that heavily ...
May 15, 2024
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Computer Sciences
Recently, professors Risheng Liu from Dalian University of Technology and Zhouchen Lin from Peking University collaborated on an opinion article published in the National Science Review (NSR). Their article delves deeply ...
Feb 21, 2024
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Engineering
The zinc smelting industry is facing new challenges in meeting China's carbon peak and carbon neutrality targets. To address these challenges, researchers from Central South University in China have developed a control method ...
Sep 29, 2023
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Computer Sciences
The term 'Expensive optimization problem' (EOP) refers to any problem that requires expensive or even unaffordable costs to evaluate candidate solutions. These problems exist in many significant real-world applications.
Aug 10, 2023
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Business
When real-world disasters occur, logistics play a crucial role in emergency disaster management. Emergency material scheduling is a vital piece of the emergency logistics plan. Having a reasonable and efficient emergency ...
Jun 29, 2023
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Engineering
Recently, a research group lead by Prof. Shuting Wang from topology optimization of Huazhong University of Science and Technology has put forward a massively efficient filter utilizing the splitting of the tensor product ...
Mar 27, 2023
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Machine learning & AI
The latest breakthroughs in artificial intelligence (AI) build on deep neural networks, a specific type of AI system. Today, their applications are known to the general public in several areas, in particular, the so-called ...
Mar 23, 2023
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Computer Sciences
Parameter calibration of traffic assignment models is vital to travel demand analysis and management. As an extension of the conventional traffic assignment, boundedly rational activity-travel assignment (BR-ATA) combines ...
Jan 20, 2023
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Machine learning & AI
Deep learning is currently prompting increasing research interests and leading to a paradigm shift from physics-based modeling to data-driven learning in the field of optical metrology. Scientists in China and Singapore published ...
Apr 22, 2022
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