AIMC Topic: Humans

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Mobile Robot Application with Hierarchical Start Position DQN.

Computational intelligence and neuroscience
Advances in deep learning significantly affect reinforcement learning, which results in the emergence of Deep RL (DRL). DRL does not need a data set and has the potential beyond the performance of human experts, resulting in significant developments ...

Detection of Malicious Cloud Bandwidth Consumption in Cloud Computing Using Machine Learning Techniques.

Computational intelligence and neuroscience
The Internet of Things, sometimes known as IoT, is a relatively new kind of Internet connectivity that connects physical objects to the Internet in a way that was not possible in the past. The Internet of Things is another name for this concept (IoT)...

Application of CNN-Based Machine Learning in the Study of Motor Fault Diagnosis.

Computational intelligence and neuroscience
With the development of science and technology, the rapid development of social economy, the motor as a new type of transmission equipment, in the production and life of people occupies a pivotal position. Under the rapid development of computer and ...

A Novel English Translation Model in Complex Environments Using Two-Stream Convolutional Neural Networks.

Journal of environmental and public health
Although translation is an essential component of learning English, it does not receive the attention it merits in the modern English classroom. Teachers and students primarily emphasize listening, reading, and writing while neglecting the developmen...

The Impact of Engagement with the PARO Therapeutic Robot on the Psychological Benefits of Older Adults with Dementia.

Clinical gerontologist
OBJECTIVES: This study aimed to examine the effect of 8-weeks of a 60-minute PARO intervention to reduce depressive symptoms and loneliness in older adults with dementia and investigated changes in their emotional or behavioral expressions and level ...

Individualized Diagnosis and Prescription in Traditional Medicine: Decision-Making Process Analysis and Machine Learning-Based Analysis Tool Development.

The American journal of Chinese medicine
While pattern identification (PI) is an essential process in traditional medicine (TM), it is difficult to objectify since it relies heavily on implicit knowledge. Therefore, this study aimed to propose a machine learning (ML)-based analysis tool to ...

Is Leg-Driven Treadmill-Based Exoskeleton Robot Training Beneficial to Poststroke Patients: A Systematic Review and Meta-analysis.

American journal of physical medicine & rehabilitation
OBJECTIVE: The aim of the study is to systematically review the effects of leg-driven treadmill-based exoskeleton robot training on balance and walking ability in poststroke patients.

A machine learning approach to predicting early and late postoperative reintubation.

Journal of clinical monitoring and computing
Accurate estimation of surgical risks is important for informing the process of shared decision making and informed consent. Postoperative reintubation (POR) is a severe complication that is associated with postoperative morbidity. Previous studies h...

Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key players in non-small cell lung cancer (NSCLC). Although their frequency is relatively low, their detection is important for patient care and guides thera...

Training in the protocol for robotic undocking for life emergency support (RULES) improves team communication, coordination and reduces the time required to decouple the robotic system from the patient.

The international journal of medical robotics + computer assisted surgery : MRCAS
INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an increase in surgical procedures complexity. Occurrence of emergency situations that require conversion of the minimally invasive access route to open acce...