AIMC Topic: Humans

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Arab2Vec: An Arabic word embedding model for use in Twitter NLP applications.

PloS one
The analysis of Arabic Twitter data sets is a highly active research topic, particularly since the outbreak of COVID-19 and subsequent attempts to understand public sentiment related to the pandemic. This activity is partially driven by the high numb...

Prioritizing robots in intelligent manufacturing using q-rung orthopair fuzzy decision-making method and unknown weight information.

PloS one
The rapid evolution of intelligent manufacturing systems necessitates the integration of advanced robotics to meet increasing demands for productivity, precision, and adaptability. Robots play an indispensable role across a spectrum of operations, fr...

Hip, knee, and ankle joint forces during exoskeletal-assisted walking: Comparison of approaches to simulate human-robot interactions.

PloS one
The overall goal of this study was to develop a computational framework to quantify hip, knee, and ankle joint forces during exoskeletal-assisted walking (EAW) in the ReWalk P6.0, an FDA-approved lower-extremity exoskeleton. The first objective was t...

Error recognition of english translation text based on neural network and fuzzy decision tree.

PloS one
In response to the low accuracy and recall of current English translation text error recognition methods, this paper proposes a research on English translation text error recognition based on an improved decision tree algorithm. Firstly, use mutual i...

Predicting one-year post-surgical recurrence in colorectal liver metastasis using CT radiomics and machine learning.

PloS one
BACKGROUND: Early recurrence in colorectal cancer liver metastases (CRLM) typically correlates with significantly worse survival outcomes. There is a strong demand for developing robust and interpretable approaches to assist clinicians in identifying...

MACML: Marrying attention and convolution-based meta-learning method for few-shot IoT intrusion detection.

PloS one
The widespread deployment of Internet of Things (IoT) devices has made them prime targets for cyberattacks. Existing intrusion detection systems (IDSs) heavily rely on large-scale labeled datasets, which limits their effectiveness in detecting novel ...

Personalized MRI-based characterization of subcortical anomalies in Ataxia-Telangiectasia using deep-learning.

PloS one
BACKGROUND: Cerebellar atrophy is a known feature of ataxia-telangiectasia (A-T). However, basal ganglia dysfunction contributing to extrapyramidal movement disorders in A-T remains understudied.

A multi-strategy enhanced secretary bird optimization algorithm for high-precision inverse kinematics in robotic arms.

PloS one
The assembly of pyrotechnic grain demands high precision and stability in robotic arm motion control due to the small shell apertures and stringent assembly accuracy requirements. Inverse kinematics is a core technology in robotic arm motion control....

Digital product success under the microscope: When artificial intelligence in projects helps - and when it hurts.

PloS one
As organizations navigate an increasingly dynamic digital landscape, the challenge of achieving consistent product success has intensified. This study investigates how key management factors-customer-driven product development, open innovation networ...

Integrated single-cell and clinical transcriptomic analysis identifies blunted glycolytic activation as a hallmark of maladaptive repair in renal ischemia-reperfusion.

Renal failure
Acute kidney injury (AKI) is a common and increases risk of chronic kidney disease (CKD). While mitochondrial dysfunction drives maladaptive repair, the role of glycolysis in renal recovery remains unclear. Here, we integrated single-cell transcripto...