Unleashing the power of self-supervised image denoising: A comprehensive review
The advent of deep learning has brought a revolutionary transformation to image denoising
techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised …
techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised …
Computer vision-based cybernetics systems for promoting modern poultry farming: a critical review
As global demands on the poultry production and welfare both intensify, the precision
poultry farming technologies such as computer vision-based cybernetics system is …
poultry farming technologies such as computer vision-based cybernetics system is …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Every parameter matters: Ensuring the convergence of federated learning with dynamic heterogeneous models reduction
Abstract Cross-device Federated Learning (FL) faces significant challenges where low-end
clients that could potentially make unique contributions are excluded from training large …
clients that could potentially make unique contributions are excluded from training large …
A multisource data approach for estimating vehicle queue length at metered on-ramps
Queue length information is a critical input for ramp metering management. Based on
accurate and reliable queue length, the inflow rate can be optimized to maximize the benefit …
accurate and reliable queue length, the inflow rate can be optimized to maximize the benefit …
Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows
To develop the most appropriate control strategy and monitor, maintain, and evaluate the
traffic performance of the freeway weaving areas, state and local Departments of …
traffic performance of the freeway weaving areas, state and local Departments of …
Addressing unintended bias in toxicity detection: An lstm and attention-based approach
In the digital era, online platforms serve as crucial hubs for social interactions and idea
exchange. However, these platforms are continually shadowed by toxic comments that …
exchange. However, these platforms are continually shadowed by toxic comments that …
Eliminating the impacts of traffic volume variation on before and after studies: a causal inference approach
A before and after study framework measures the outcomes in a group of participants before
introducing an intervention, and then again afterward. In this study, a before and after study …
introducing an intervention, and then again afterward. In this study, a before and after study …
An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning
Poultry behavior is an important indicator of their welfare, health, and production
performance. The welfare of layers and broilers such as walking ability, breast blisters, hock …
performance. The welfare of layers and broilers such as walking ability, breast blisters, hock …
Serverless federated auprc optimization for multi-party collaborative imbalanced data mining
To address the big data challenges, serverless multi-party collaborative training has recently
attracted attention in the data mining community, since they can cut down the …
attracted attention in the data mining community, since they can cut down the …