A Dimensional Order Search Based Mapping Algorithm for Deploying DNNs onto Many-Core Neuromorphic IC
Many-core neuromorphic integrated circuits (ICs) have the potential advantages of low power consumption, high parallelism, etc. for the edge computing of deep learning. A key problem in the ...
Abstract: Autonomous vehicles require highly reliable collision-free capabilities, necessitating extensive research in path planning. Path planning determines an optimal path, crucial for safe and ...
Abstract: The main challenge faced by spaceborne SAR imaging in high squint case is the severe range-azimuth coupling caused by variation of azimuth frequency with slant range, which makes it ...
Abstract: This paper investigates efficient algorithm for Markov Decision Processes (MDPs) through Linear programming (LP). Generally, solving large-scale MDPs via standard LP solvers faces ...
Abstract: This paper investigates the optimization of the FedDyn algorithm in Federated Learning (FL). Federated Learning is a distributed machine learning framework that enables model training on ...
Abstract: This letter explores mobile molecular communication, where bio-nanomachines interact and coordinate movement using signal molecules in aqueous environments. In the system studied, a sender ...
Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...
Abstract: This paper proposes a LiDAR-based algorithm for detecting dynamic and static obstacles in intelligent driving scenarios. It integrates map differencing, clustering, template matching, and ...
Abstract: Although AI has been extensively adopted and has profoundly transformed our lives, it is not feasible to directly deploy large AI models on edge devices with limited resources. To enhance ...
Abstract: To enhance the robustness and accuracy of target tracking in complex backgrounds and dynamic scenes, this paper presents a target tracking algorithm that integrates hybrid pooling with a ...
Abstract: The grid-connected PV systems (GCPVS) require a high-performing Maximum Power Point Tracking (MPPT) algorithm for superior power injection into the grid with minimal losses and reduced Total ...
Abstract: This article proposes an improved differential evolution multiobjective particle swarm optimization algorithm (DEV-MOPSO) for the design of dual-band power amplifiers (PAs). This algorithm ...
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