1+ hour, 4+ min ago   (479+ words) Hybrid artificial intelligence optimization models combine learned behavioral signals with constrained decision-making, but their transition from prototype calibration to operational use is rarely evaluated across changing platform regimes. The Adaptive Calibration and Operational Transferability (ACOT) framework separates the parameterized decision…...

1+ hour, 4+ min ago   (474+ words) The rapid advancement of deep learning (DL) has fundamentally transformed intelligent communication systems, leading to a rapid proliferation of survey papers covering wireless communications, optical networks, vehicular systems, integrated sensing and communication (ISAC), and emerging 6G technologies. Although these surveys provide valuable…...

7+ hour, 44+ min ago   (754+ words) Branch prediction errors can reduce superscalar throughput by more than the error frequency alone suggests because a single misprediction can trigger redirect, squash, refetch, refill, and window recovery, which collectively disrupt sustained instruction-level parallelism. This paper presents a quantitative framework…...

1+ day, 5+ hour ago   (525+ words) To addressthe challenge of attitude control in quad-ducted fan unmanned aerial vehicles (UAVs) under coupled disturbances comprising thrust lag, ground effect and a composite wind field during near-ground flight and to mitigate the inherent trade-off between disturbance rejection and noise…...

1+ day, 6+ hour ago   (546+ words) Industrial control networks based on Supervisory Control and Data Acquisition (SCADA) systems used in critical infrastructure systems require reliable, scalable, and generalizable attack detection mechanisms in the face of increasing cyber-threats. However, a large portion of the datasets commonly used…...

1+ day, 6+ hour ago   (331+ words) Mobile-reader trajectories strongly affect phase-based Radio Frequency Identification (RFID) localization because measurement geometry, noise, multipath, and packet loss determine the information available to the estimator. This paper presents a tabular Q-learning method whose reward is computed from the RFID localization…...

1+ day, 10+ hour ago   (451+ words) Video Anomaly Detection (VAD) has emerged as a promising technology for automated surveillance and industrial monitoring. However, selecting an appropriate VAD architecture for real-world deployment remains challenging because benchmark-oriented evaluations often overlook practical considerations such as computational efficiency, latency, maintainability,…...

2+ day, 4+ hour ago   (487+ words) Vision-and-Language Navigation (VLN) is a representative task in embodied artificial intelligence, requiring agents to perceive, understand, and make navigation decisions in partially observable environments according to natural language instructions. As research has expanded from early discrete simulation benchmarks to continuous…...

2+ day, 4+ hour ago   (114+ words) The rapid integration of Distributed Generation (DG) units is transforming traditional passive radial distribution networks into active grids with bidirectional power flow. Determining the optimal allocation and physical hosting capacity of DG units is essential for maintaining grid stability while…...

2+ day, 4+ hour ago   (564+ words) Wireless Sensor Network (WSN) underpins numerous applications, including environmental surveillance, industrial control, and smart cities, where reliable connectivity is vital for continuous sensing and data transmission. On the other hand, a small number of failed or compromised Critical Nodes (CNs)…...