Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...
Online algorithms are central to solving resource allocation and matching challenges in dynamic environments where decisions must be made without complete knowledge of future events. Research in this ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
Part I of this paper presented a method for primal decomposition of large convex separable programs into a sequence of smaller subproblems. In this part, additional theory and development of a ...
Ideas ignite startups, but it’s disciplined allocation that determines if they survive the journey. We celebrate product-market fit, hustle and 10-times growth mantras, but often overlook what truly ...