Fuzzy Logic-Based Systems for the Diagnosis of Chronic Kidney Disease

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Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients

Prabu Subramani et al.

Personal and Ubiquitous Computing (2021)

Article Computer Science, Software Engineering

Retrospection of the Optimization Model for Designing the Power Train of a Formula Student Race Car

M. Naveen Kumar et al.

Summary: This article discusses the power train design specifics of Formula student race vehicles used in the SAE India championship, focusing on engine selection, gear system creation, throttle actuation, and more to ensure optimal performance on the racetrack.

SCIENTIFIC PROGRAMMING (2021)

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Article Computer Science, Artificial Intelligence

A generalized deep learning framework for automatic rheumatoid arthritis severity grading

Sujeet More et al.

Summary: Research developed an intelligent system based on deep learning to accurately predict the severity of knee rheumatoid arthritis from knee data. This method improved the existing evaluation methods with high accuracy and efficiency.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

Discrete-MultiResUNet: Segmentation and feature extraction model for knee MR images

Sujeet More et al.

Summary: The novel architecture called Discrete-MultiResUNet, combining discrete wavelet transform with MultiResUNet, is applied for knee tissue feature extraction and segmentation. This hybrid model efficiently captures significant features from knee MRI images and demonstrates better segmentation performance compared to baseline models, achieving an accuracy of 96.77% and a dice coefficient of 98%.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

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Article Health Care Sciences & Services

Design of a Real-Time Monitoring System for Smoke and Dust in Thermal Power Plants Based on Improved Genetic Algorithm

Bo Wang et al.

Summary: The major health hazards from smoke and dust are caused by microscopic particles that can penetrate into human lungs and lead to various health problems. In order to address the issues of low monitoring accuracy and long monitoring time, a real-time smoke and dust monitoring system in thermal power plants is proposed, utilizing a modified genetic algorithm for sampling control and improved monitoring accuracy.

JOURNAL OF HEALTHCARE ENGINEERING (2021)

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Article Mathematical & Computational Biology

Optimization Research on Deep Learning and Temporal Segmentation Algorithm of Video Shot in Basketball Games

Zhenggang Yan et al.

Summary: The analysis and edge detection of video shots in basketball games are active topics in multimedia research worldwide. A novel deep learning model and temporal segmentation algorithm based on histogram statistics have been proposed to optimize the temporal segmentation of basketball game videos, showing efficiency in reducing segmentation time and improving detection rate.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2021)

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Article Engineering, Biomedical

Biotechnical system and fuzzy logic models for prediction and prevention of post-traumatic inflammatory complications in patients with blunt renal trauma

Riad Taha Al-Kasasbeh et al.

Summary: Fuzzy logic approach is used to predict health implications in blunt kidneys patients, showing high levels of lipid peroxidation and antioxidant activity. Combining physical therapy treatments with antioxidant and detoxification therapy can prevent and treat posttraumatic inflammatory complications in patients.

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic