[HTML][HTML] Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review
This study systematically reviews the integration of artificial intelligence (AI) and remote
sensing technologies to address the issue of crop water stress caused by rising global …
sensing technologies to address the issue of crop water stress caused by rising global …
Applications and perspectives of Generative Artificial Intelligence in agriculture
Artificial Intelligence (AI) applications related to agriculture have recently gained in use and
attention. They are indeed valuable tools for interpreting data, improving production chains …
attention. They are indeed valuable tools for interpreting data, improving production chains …
Intra-and inter-instance location correlation network for human–object interaction detection
Objective: Human–object interaction detection is to detect human–object pairs and identify
their interactions, which is of great significance to improve the perception and decision …
their interactions, which is of great significance to improve the perception and decision …
Bearing fault diagnosis using multiple feature selection algorithms with SVM
This paper presents an efficient approach to diagnose defects in various components of
bearings in rotating machines using vibration signature analysis. This Automated fault …
bearings in rotating machines using vibration signature analysis. This Automated fault …
Applications of large language models in multimodal learning
In this paper, we provide a systematic review of the emerging field on applications for Large
Language Models (LLMs) in multimodal learning, especially how such methodologies help …
Language Models (LLMs) in multimodal learning, especially how such methodologies help …
A hybrid opinion dynamics model with leaders and followers fusing dynamic social networks in large-scale group decision-making
Objectives: In this study, our goal is to enhance consensus efficiency in complex decision-
making scenarios by constructing a large-scale group decision-making (LSGDM) method …
making scenarios by constructing a large-scale group decision-making (LSGDM) method …
[HTML][HTML] MEXFIC: A meta ensemble eXplainable approach for AI-synthesized fake image classification
In the evolving landscape of artificial intelligence (AI), differentiating between authentic and
artificially generated images poses a significant challenge, primarily due to the rapidly …
artificially generated images poses a significant challenge, primarily due to the rapidly …
[HTML][HTML] Enhancing crop yield prediction in Senegal using advanced machine learning techniques and synthetic data
In this study, we employ advanced data-driven techniques to investigate the complex
relationships between the yields of five major crops and various geographical and …
relationships between the yields of five major crops and various geographical and …
Multilingual entity alignment by abductive knowledge reasoning on multiple knowledge graphs
Objectives: Entity alignment (EA) seeks to identify similar real-world objects in different
multilingual knowledge graphs (KGs), also known as ontology alignment. EA assists in …
multilingual knowledge graphs (KGs), also known as ontology alignment. EA assists in …
Intelligent void identification of particle packing system of caved ore and rock
H Sun, Z Dai, L Zhao, L Wei, J Jia, S Zhou… - … Applications of Artificial …, 2024 - Elsevier
Analyzing the void structure of the packing system of caved ore and rock and establishing
the causal relationship between void structure and macroscopic properties are critical …
the causal relationship between void structure and macroscopic properties are critical …