Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review
Q Liu, Y Ma, L Chen, W Pedrycz, MJ Skibniewski… - Information …, 2024 - Elsevier
Artificial intelligence (AI) has garnered significant attention within the modular construction
industry, emerging as a prominent frontier development trend. A comprehensive and …
industry, emerging as a prominent frontier development trend. A comprehensive and …
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
Optimal soft open point placement and open switch position selection simultaneously for power loss reduction on the electric distribution network
Network reconfiguration through the selection of open switch positions on the electric
distribution network (EDN) is an effective solution to reduce power loss on the EDN …
distribution network (EDN) is an effective solution to reduce power loss on the EDN …
[PDF][PDF] SenticNet 8: Fusing emotion AI and commonsense AI for interpretable, trustworthy, and explainable affective computing
ChatGPT has stunned the world with its ability to generate detailed, original, and accurate
responses to prompts. While it unlocked solutions to problems that were previously …
responses to prompts. While it unlocked solutions to problems that were previously …
[HTML][HTML] Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
The integration of positron emission tomography (PET) and single-photon emission
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
[HTML][HTML] Identifying HRV patterns in ECG signals as early markers of dementia
Abstract The appearance of Artificial Intelligence (IA) has improved our ability to process
large amount of data. These tools are particularly interesting in medical contexts, in order to …
large amount of data. These tools are particularly interesting in medical contexts, in order to …
[HTML][HTML] Computer aided diagnosis of neurodevelopmental disorders and genetic syndromes based on facial images–A systematic literature review
FRD de Barros, CNF da Silva, G de Castro Michelassi… - Heliyon, 2023 - cell.com
Neurodevelopment disorders can result in facial dysmorphisms. Therefore, the analysis of
facial images using image processing and machine learning techniques can help construct …
facial images using image processing and machine learning techniques can help construct …
Unveiling yield strength of metallic materials using physics-enhanced machine learning under diverse experimental conditions
In the materials science domain, the accurate prediction of the yield strength of metallic
compositions has often resulted in extensive experimental endeavors, leading to …
compositions has often resulted in extensive experimental endeavors, leading to …
Integrating Ideal Characteristics of Chat-GPT Mechanisms into the Metaverse: Knowledge, Transparency, and Ethics
Chat-GPT is a very advanced language model in artificial intelligence. It can be used in
administrative and economic research and has many other applications. On the other hand …
administrative and economic research and has many other applications. On the other hand …
Emotion-based dynamic difficulty adjustment in video games
Current review papers in the area of Affective Computing and Affective Gaming point to a
number of issues with using their methods in out-of-the-lab scenarios, making them virtually …
number of issues with using their methods in out-of-the-lab scenarios, making them virtually …