IEEE

Depthwise Convolution with Winograd Algorithm for Efficient CNN Acceleration

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
IEEE

Mainlobe Maintenance Algorithm via Spatial and Channel Reconstruction Convolutional Network

Abstract: Aiming at the problem that mainlobe distortion and peak offset caused by mainlobe interference in wideband beamforming, a mainlobe maintenance (MM) wideband beamforming algorithm based on ...
IEEE

Maximum Correntropy Criterion-Newton Algorithm for Adaptive Interpolated Volterra Filter

Abstract: The main drawback of the second-order Volterra (SOV) filter is that its coefficients increase exponentially with the length of the memory, which has promoted the development of ...
IEEE

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 ...
IEEE

A Vehicle Path Planning Algorithm: QDDG-RRT

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 ...
IEEE

Nonconvex Regularization for Markov Decision Processes: Modeling and Algorithms

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 ...
IEEE

Optimization of Federated Learning Algorithm for Non-lID Data: Improvements to the FedDyn Algorithm

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 ...
IEEE

The Pulse Timer Algorithm for Mobile Molecular Communication

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 ...
IEEE

Deep Reinforcement Learning with Graph Neural Networks: An Indepth Analysis of Algorithms and Applications

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...
IEEE

Lidar-Based Obstacle Detection Algorithm and Implementation

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 ...
IEEE

In-Season Corn Yield Prediction Using Satellite-Derived Solar-Induced Chlorophyll Fluorescence and Machine Learning Algorithms

Abstract: Accurate in-season crop yield prediction is critical for timely agricultural decision-making, food security, and climate-resilient farm management. This study presents a framework for ...
IEEE

ERA: a QoE-Aware Collaborative Inference Algorithm for NOMA-based Edge Intelligence

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 ...