AIMC Topic: Models, Theoretical

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The effectiveness of explainable AI on human factors in trust models.

Scientific reports
Explainable AI has garnered significant traction in science communication research. Prior empirical studies have firmly established that explainable AI communication could improve trust in AI and that trust in AI engineers was argued to be an under-e...

Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models.

Scientific reports
Cotton, the backbone of global textile production, demands sustainable agricultural practices to ensure fiber, food, and environmental security. Cotton crop play an essential role in farming economies; however, production is sometimes affected by var...

Cognition-enhanced geospatial decision framework integrating fuzzy FCA, surprisingly popular method, and a large language model.

Scientific reports
This study introduces a cognition-enhanced framework for geospatial decision-making by integrating Fuzzy Formal Concept Analysis (FCA), the Surprisingly Popular (SP) method, and a Large Language Model (GPT-4o). Our approach captures cognitive influen...

A study on classification based concurrent API calls and optimal model combination for tool augmented LLMs for AI agent.

Scientific reports
AI Agents have evolved to not only recommend content but also facilitate information retrieval and task processing. Developing AI Agents using general-purpose LLM models necessitates integration with external tools, leading to tool-augmented LLM stud...

Integrated artificial intelligence in healthcare and the patient's experience of care.

Scientific reports
Healthcare is plagued with many problems that Artificial Intelligence (AI) can ameliorate or sometimes amplify. Regardless, AI is changing the way we reason towards solutions, especially at the frontier of public health applications where autonomous ...

Moving beyond the noise: geospatial modelling of urban sound environments in a sub-Saharan African city.

Scientific reports
Cities encompass a mixture of artificial, human, animal, and nature-based sounds, which through long and short-term exposures, can impact on physical and mental health. Yet, most epidemiological research has focused on only transportation noise, leav...

Fusing satellite imagery and ground-based observations for PM air pollution modeling in Iran using a deep learning approach.

Scientific reports
With the rapid advancement of urbanization and industrialization in cities, air pollution has become one of the significant environmental challenges and issues in many countries. The concentration of particulate matter with an aerodynamic diameter of...

Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications.

Scientific reports
Remote Patient Monitoring Systems (RPMS) are vital for tracking patients' health outside clinical settings, such as at home or in long-term care facilities. Wearable sensors play a crucial role in these systems by continuously collecting and transmit...

Real-time human-robot interaction and service provision using hybrid intelligent computing framework.

PloS one
Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure rates in dynamic service conte...

Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach.

PloS one
This study proposes a novel approach to anticipating technology convergence in the bio-healthcare sector by integrating text mining based on transformer models and supervised learning methodologies. The overarching goal is to develop a robust method ...