Machine Learning Real Life Examples - Explore real-life examples of machine learning applications across various industries and understand how they impact our daily lives.
The present article presents the research for optimizing a real-life instance of heterogeneous vehicle routing problem, used intensively by shipping companies. The experiments have been carried out on the data provided by real companies, with constrains on the number and capacity of the vehicles, ...
3.Text Summarization Using TextRank Algorithm - Analytics Vidhya.Analytics Vidhya 4.ScienceDirect. Cem Dilmegani Follow on Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every mont...
In supervised learning, we feed the algorithm’s output into the system so that the machine knows the patterns before working on them. In other words, the algorithm gets trained on input data that has been labeled for a particular output. The model undergoes training until it can detect the ...
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One notable example is the exponential distribution optimizer (EDO) algorithm introduced by Mohamed Abdel-Basset et al.64. This innovative algorithm has been applied across diverse sectors, from engineering challenges to manufacturing processes and scientific modeling. The foundational principle of the EDO...
Rendering to a texture uses an existing texture coordinate parameterization, coupled with a target texture map. For each texel of the texture, the algorithm finds the coordinates at the surface of the object. The software renderer fires a ray and sample attributes at the coordi...
Various well-known physical and structural properties-based problems have a major impact on various real-life applications such as predicting the trajectory of objects after object collision, drone trajectory prediction, falling objects hitting a specific position, etc. These real-worldphysicsproblems have...
The algorithm can reach a level of accuracy where it can be allowed to directly control part of a machine or process. This allows operators to make better-informed decisions and frees them up from repetitive manual tasks for more value-added functions. ...
AI is being applied in a variety of fields to get insights into user behaviour and make data-driven suggestions. Google’s predictive search algorithm, for example, analyzed user data from the past to forecast what a user would put text in the search field. Netflix leverages previous user da...