A comprehensive end-to-end algorithmic trading system that combines LSTM-based price forecasting with Deep Q-Network (DQN) reinforcement learning for optimal trading decisions on the usd/pkr exchange ...

Hina Gandhi, software engineering technical leader, Cisco, offered tips and techniques to pave the way for autonomous, efficient data pipelines that continuously adapt to changing workloads and ...

Path planning in radioactive settings requires the integration of spatial navigation algorithms with models of ionising radiation to ensure that robots or human operators can traverse hazardous zones ...

Abstract: Deploying feeder links (i.e., between satellites and ground stations) at Ka-band is becoming a popular option among satellite operators thanks to its consolidated technology maturity level.

Abstract: Deep reinforcement learning-based object detection approaches center around a pivotal concept: hierarchically scaling image segments that harbor more intricate details. Compared with the ...

Developing autonomous LLM agents capable of making a series of intelligent decisioiins to solve complex, real-world tasks is a fast-evolving frontier. Merely relying on human demonstration for ...