A5048572787- Transportation Planning and Optimization
- Traffic control and management
- Transportation and Mobility Innovations
- Traffic Prediction and Management Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Opportunistic and Delay-Tolerant Networks
- Vehicle emissions and performance
- Cancer-related molecular mechanisms research
- Mobile Ad Hoc Networks
- Autonomous Vehicle Technology and Safety
- Network Traffic and Congestion Control
- Electric Vehicles and Infrastructure
- Meat and Animal Product Quality
- Power Line Communications and Noise
- Traffic and Road Safety
- Complex Network Analysis Techniques
- Human Mobility and Location-Based Analysis
- Advanced Battery Technologies Research
- Effects of Environmental Stressors on Livestock
- Infrastructure Resilience and Vulnerability Analysis
- Gene expression and cancer classification
- Smart Parking Systems Research
- Vehicle Dynamics and Control Systems
University of Florida
2018-2025
Nanjing University of Chinese Medicine
2025
Chinese Academy of Agricultural Sciences
2020-2024
Institute of Animal Sciences
2021-2024
Animal Science Research Institute
2023
Chang'an University
2023
Third Affiliated Hospital of Guangzhou Medical University
2022
Guangzhou Medical University
2022
Institute of Animal Science
2021
Minzu University of China
2021
Abstract Battery electric vehicles (BEVs) have emerged as a promising alternative to traditional internal combustion engine (ICE) due benefits in improved fuel economy, lower operating cost, and reduced emission. BEVs use motors rather than fossil fuels for propulsion typically store energy lithium-ion cells. With rising concerns over depletion the impact of ICE on climate, mobility is widely considered future sustainable transportation. promise drastically reduce greenhouse gas emissions...
Machine learning (ML) is perhaps the most useful tool for interpretation of large genomic datasets. However, performance a single machine method in selection (GS) currently unsatisfactory. To improve predictions, we constructed stacking ensemble framework (SELF), integrating three methods, to predict estimated breeding values (GEBVs). The present study evaluated prediction ability SELF by analyzing real datasets, with different genetic architecture; comparing accuracy SELF, base learners,...
Vehicle-to-vehicle (V2V) communication networks, as one of the core components connected vehicle systems, have been granted many promising applications to address traffic mobility, safety, and sustainability. However, only a limited amount work has completed understand fundamental properties information propagation in such while comprehensively considering reality. Motivated by this view, proposed research develops analytical formulations estimate time delay via V2V network formed on one-way...
Compensatory growth (CG) is a physiological response that accelerates following period of nutrient limitation, with the potential to improve efficiency and meat quality in cattle. However, underlying molecular mechanisms remain poorly understood. In this study, 60 Huaxi cattle were divided into one ad libitum feeding (ALF) group two restricted groups (75% restricted, RF75; 50% RF50) undergoing short-term restriction followed by evaluation CG. Detailed comparisons performance during...
The objective of the present study was to perform a genome-wide association (GWAS) for growth curve parameters using nonlinear models that fit original weight–age records. In this study, data from 808 Chinese Simmental beef cattle were weighed at 0, 6, 12, and 18 months age used curve. Gompertz model showed highest coefficient determination (R2 = 0.954). parameters’ mature body weight (A), time-scale parameter (b), maturity rate (K) treated as phenotypes single-trait GWAS multi-trait GWAS....
Obtaining future traffic state evolution information is critical to control algorithms design and further intelligent transportation systems. However, accurately predicting not an easy task, although the prediction-related study attracted a lot of attention. This develops macroscopic flow model-integrated deep learning framework ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathbf{MTFD}$</tex-math>...
As the world embraces sustainable transportation, electric vehicles (EVs) have emerged as a promising solution. However, their increasing popularity brings forth new challenges, particularly concerning congestion at charging stations and on roads. Recent advancements in wireless communication sensing technologies enable travelers to access real-time traffic station availability information via navigation systems, allowing them make informed routing decisions avoid congestion. this can...
Spinal muscular atrophy (SMA) is a severe neurodegenerative disorder caused by deficiency of survival motor neuron (SMN). While significant progress has been made in SMA therapy rescuing SMN expression, limited knowledge about downstream genes hindered the development alternative therapies. Here, we conducted whole-transcriptome sequencing spinal cord, heart, and liver tissues mouse model at early postnatal ages to explore critical coding non-coding RNAs (ncRNAs). A large number...
This paper develops distributed optimization-based, platoon-centered connected and autonomous vehicle (CAV) car-following schemes, motivated by the recent interest in CAV platooning technologies. Various optimization or control schemes have been developed for platooning. However, most existing platoon centered require either centralized data processing computation at least one step of their referred to as partially schemes. In this paper, we develop fully based, under linear dynamics via...