Abstract: The design of sparse synthesis has been paying much attention in recent years due to the control of system cost. Concurrently, phase quantization is increasingly being considered for system ...
ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems. The open source ...
Abstract: COLREG sets maritime navigation safety rules that are defined to be human-interpretable. With the advent of autonomous surface vehicles (ASVs), the level of detail of the rules and ...
We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework.
A.I. tools from Microsoft and other companies are helping write code, placing software engineers at the forefront of the technology’s potential to disrupt the work force. By Steve Lohr Steve Lohr has ...
In recent years, the landscape of short animated films has undergone a significant shift. Short animated films are increasingly stretching beyond the 20-minute mark. In fact, three of this year’s five ...
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