Results 51 to 60 of about 178 (113)

Covid-19 optimization-based vibration controller for a flexible manipulator

, 2022
Flexible manipulator real-time vibration control methods are effective, but finding the right control gain is difficult. The reason for this is that traditional approaches are not permitted by up-to-date and novel architectures.
Arikuşu Y.S., Ilman M.M.
core   +1 more source

A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference [PDF]

Optimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also in our daily activities.
gandomi, AH, Raju, S, Salgotra, R, Sharma, P   +3 more
core   +1 more source

Intelligent Manufacturing: Using Intelligent Technologies To Transform Industry

Journal of Applied Science and Engineering
This paper presents a feature-based paradigm for intelligent manufacturing, highlighting the operational influence of critical variables temperature, operating mode, power consumption, network latency, production speed, and error rate on system ...
Mingyu Li
doaj   +1 more source

Rapid detection of ammonia nitrogen concentration in biogas liquid using near-infrared spectroscopy combined with cascade wavelength selection

Journal of Engineering and Applied Science
In the anaerobic fermentation process, the concentration of ammonia nitrogen (NH3-N) in the biogas liquid is an important indicator. This metric can provide a basis for assessing nitrogen nutrition levels in the system, the percentage of various nitrogen
Weida Wang, Yiyi Wang, Jinming Liu, Chong Tan   +3 more
doaj   +1 more source

Optimizing Recurrent Neural Network-Based pH Prediction System of Halochromic Film for Chronic Wound Monitoring

IEEE Access
Chronic wounds, known for their prolonged healing and the associated financial strain on patients, highlight the growing need for effective monitoring methods.
Daeuk Kim, Ronnie S. Concepcion, Joseph Rey H. Sta. Agueda, John S. Martin Mondragon   +3 more
doaj   +1 more source

An effective ECG signal compression algorithm with self controlled reconstruction quality

, 2023
Electrocardiogram (ECG) signals are frequently used in the continuous monitoring of heart patients. These recordings generate huge data, which is difficult to store or transmit in telehealth applications.
Kumar, A., Lee, Heung-No, Pal, Hardev Singh, Singh, Girish Kumar, Vishwakarma, Amit   +4 more
core   +1 more source

An enhanced whale optimization algorithm with opposition-based learning for LEDs placement in indoor VLC systems

, 2023
Visible Light Communication (VLC) is a new technology that has attracted lately much interest from researchers and academics. It allows communication between users using photo-detectors (PDs) as receivers and light emitting diodes (LEDs) as transmitters.
Benayad, Abdelbaki, Boustil, Amel, Meraihi, Yassine, Mirjalili, Seyedali, Taleb, Sylia Mekhmoukh, Yahia, Selma   +5 more
core   +1 more source

Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework [PDF]

The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates accurate power production prediction for effective scheduling and grid management. This paper presents a comprehensive review conducted with reference to a pioneering,
Abubaker A. M., Aghaei M., Ahmad A. D., Al-Dahidi S., Al-Ghussain L., Alahmer A., Alahmer H., Alrbai M., Baraldi P., Madhiarasan M., Zio E.   +10 more
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Rapid Lactic Acid Content Detection in Secondary Fermentation of Maize Silage Using Colorimetric Sensor Array Combined with Hyperspectral Imaging

Agriculture
Lactic acid content is a crucial indicator for evaluating maize silage quality, and its accurate detection is essential for ensuring product quality.
Xiaoyu Xue, Haiqing Tian, Kai Zhao, Yang Yu, Ziqing Xiao, Chunxiang Zhuo, Jianying Sun   +6 more
doaj   +1 more source

A Bio-Medical Snake Optimizer System Driven by Logarithmic Surviving Global Search for Optimizing Feature Selection and its application for Disorder Recognition

It is of paramount importance to enhance medical practices, given how important it is to protect human life. Medical therapy can be accelerated by automating patient prediction using machine learning techniques.
Alhenawi, Esraa, Braik, Malik, Castillo, Pedro A., Chhabra, Amit, Hashim, Fatma A., Khurma, Ruba Abu   +5 more
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