ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Learn prompt design, build a portfolio, and prep for interviews — all with AI as your guide. White House Redirects Tariff Money Chris Hemsworth, Alzheimer's and why Hollywood is suddenly obsessed with ...
Abstract: The knapsack problem is a classic NP-hard optimization challenge with wide-ranging applications in computer science, such as resource allocation. While several variants have been developed, ...
ABSTRACT: It is difficult to obtain exact or analytical solutions to most moving boundary problems. In this paper, we employ the use of Homotopy Analysis Method (HAM) to solve a time-fractional ...
Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
I hope this message finds you well. After reviewing the README, I noticed that the Knapsack Problem has not yet been implemented in C++. I would like to take on this task and contribute the ...
Abstract: Knapsack problem is a classical optimization problem in computer science and programming. Knapsack problem main objective is to solve how much the maximum profit can be carried with the ...
CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, Inc., a leading AI-driven health technology and nference portfolio company working in collaboration with Mayo Clinic, today announced U.S. Food and Drug ...
An image encryption and decryption method of fractional order chaotic systems (FOCS) with predefined time synchronization is proposed in this article. Compared with the existing integer order chaotic ...
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