<p>This paper explores the prescribed-time output feedback control problem for uncertain active suspension systems operating under input and output-triggered communication constraints. Prescribed-time tracking performance using only intermittently available output signals is a critical challenge while compensating for the road excitation effect. This work presents a novel, prescribed-time neural disturbance-compensated state observer (PNDSO) to address these problems by reconstructing differentiable state estimates using intermittently transmitted output. Based on the PNDSO, the prescribed-time controller and neural disturbance observer are integrated in the constructed output feedback control framework. Dual-channel dynamic event-triggered mechanisms are implemented on the sensor-to-controller and controller-to-actuator channels to enhance communication efficiency, where the triggering thresholds are adaptively adjusted in real time based on the observed tracking error. A rigorous Lyapunov-based analysis establishes the practical prescribed-time convergence of all relevant errors while ensuring the exclusion of Zeno behavior. The comparative simulation results under various road conditions validate the effectiveness and robustness of the proposed approach in achieving prescribed-time tracking with reduced communication.</p>