The new agronomists: Language models are experts in crop management
Crop management plays a crucial role in determining crop yield economic profitability and
environmental sustainability. Despite the availability of management guidelines optimizing …
environmental sustainability. Despite the availability of management guidelines optimizing …
Insectmamba: Insect pest classification with state space model
The classification of insect pests is a critical task in agricultural technology, vital for ensuring
food security and environmental sustainability. However, the complexity of pest …
food security and environmental sustainability. However, the complexity of pest …
Memorymamba: Memory-augmented state space model for defect recognition
Q Wang, H Hu, Y Zhou - arXiv preprint arXiv:2405.03673, 2024 - arxiv.org
As automation advances in manufacturing, the demand for precise and sophisticated defect
detection technologies grows. Existing vision models for defect recognition methods are …
detection technologies grows. Existing vision models for defect recognition methods are …
Deep representation learning for multi-functional degradation modeling of community-dwelling aging population
As the aging population grows, particularly for the baby boomer generation, the United
States is witnessing a significant increase in the elderly population experiencing …
States is witnessing a significant increase in the elderly population experiencing …
Dose My Opinion Count? A CNN-LSTM Approach for Sentiment Analysis of Indian General Elections
N Zhang, J Xiong, Z Zhao, M Feng… - Journal of Theory …, 2024 - centuryscipub.com
Sentiment analysis on social media platforms is a critical area of research for understanding
public opinion, particularly during significant events like elections. This paper presents a …
public opinion, particularly during significant events like elections. This paper presents a …
Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition
Speech emotion recognition (SER) has garnered increasing attention due to its wide range
of applications in various fields, including human-machine interaction, virtual assistants, and …
of applications in various fields, including human-machine interaction, virtual assistants, and …
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale
Medical Visual Question Answering (MedVQA), which offers language responses to image-
based medical inquiries, represents a challenging task and significant advancement in …
based medical inquiries, represents a challenging task and significant advancement in …
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions
In recent years, Large Language Models (LLMs) have shown great abilities in various tasks,
including question answering, arithmetic problem solving, and poem writing, among others …
including question answering, arithmetic problem solving, and poem writing, among others …
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology
J Zhang, J Cao, J Chang, X Li, H Liu, Z Li - arXiv preprint arXiv …, 2024 - arxiv.org
This research aims to explore the application of deep learning in autonomous driving
computer vision technology and its impact on improving system performance. By using …
computer vision technology and its impact on improving system performance. By using …
Beyond the Bridge: Contention-Based Covert and Side Channel Attacks on Multi-GPU Interconnect
High-speed interconnects, such as NVLink, are integral to modern multi-GPU systems,
acting as a vital link between CPUs and GPUs. This study highlights the vulnerability of multi …
acting as a vital link between CPUs and GPUs. This study highlights the vulnerability of multi …