AIMC Topic: Algorithms

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Early Diagnosis of Tuberculosis Using Deep Learning Approach for IOT Based Healthcare Applications.

Computational intelligence and neuroscience
In the modern world, Tuberculosis (TB) is regarded as a serious health issue with a high rate of mortality. TB can be cured completely by early diagnosis. For achieving this, one tool utilized is CXR (Chest X-rays) which is used to screen active TB. ...

Deep Learning-Based Classification of Spoken English Digits.

Computational intelligence and neuroscience
Classification of isolated digits is the basic challenge for many speech classification systems. While a lot of work has been carried out on spoken languages, only limited research work on spoken English digit data has been reported in the literature...

A Framework and Algorithm for Human-Robot Collaboration Based on Multimodal Reinforcement Learning.

Computational intelligence and neuroscience
Despite the emergence of various human-robot collaboration frameworks, most are not sufficiently flexible to adapt to users with different habits. In this article, a Multimodal Reinforcement Learning Human-Robot Collaboration (MRLC) framework is prop...

The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis.

Computational intelligence and neuroscience
Internet environments such as social networks, news sites, and blogs are the platforms where people can share their ideas and opinions. Many people share their comments instantly on the internet, which results in creating large volumes of entries. It...

Ultrasonic Guided Wave Inversion Based on Deep Learning Restoration for Fingerprint Recognition.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
As an established biometric authentication approach, fingerprint scanning has received considerable attention due to its high accuracy and reliability. In this article, the fingerprint reconstruction at any position is achieved in large physical doma...

A Method of Deep Learning Model Optimization for Image Classification on Edge Device.

Sensors (Basel, Switzerland)
Due to the recent increasing utilization of deep learning models on edge devices, the industry demand for Deep Learning Model Optimization (DLMO) is also increasing. This paper derives a usage strategy of DLMO based on the performance evaluation thro...

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill.

Sensors (Basel, Switzerland)
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning model that achieves comparable performance to expert human raters on this skill assessment task. Seventy-two surgical trainees and faculty were recruit...

Deep leaning-based ultra-fast stair detection.

Scientific reports
Staircases are some of the most common building structures in urban environments. Stair detection is an important task for various applications, including the environmental perception of exoskeleton robots, humanoid robots, and rescue robots and the ...

Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset.

Scientific data
Due to morphological similarities, the differentiation of histologic sections of cutaneous tumors into individual subtypes can be challenging. Recently, deep learning-based approaches have proven their potential for supporting pathologists in this re...

Risk stratification and pathway analysis based on graph neural network and interpretable algorithm.

BMC bioinformatics
BACKGROUND: Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but ...