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MACHINE LEARNING APPLICATION FOR OPTIMIZING ASYMMETRICAL REDUCTION OF ACETOPHENONE EMPLOYING COMPLETE CELL OF LACTOBACILLUS SENMAIZUKE AS AN ENVIRONMENTALLY FRIENDLY APPROACH
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Prof. Hysen Mankolli, IJEES Electronic Journal Publication
, 2020 , Article)
Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An ...
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
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Elsevier
, 2021 , Article)
This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected ...
Detecting anomalies within smart buildings using do-it-yourself internet of things
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Springer
, 2022 , Article)
Detecting anomalies at the time of happening is vital in environments like buildings and homes to identify potential cyber-attacks. This paper discussed the various mechanisms to detect anomalies as soon as they occur. We ...
An adaptive network coding scheme for multipath transmission in cellular-based vehicular networks
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MDPI AG
, 2020 , Article)
With the emergence of vehicular Internet-of-Things (IoT) applications, it is a significant challenge for vehicular IoT systems to obtain higher throughput in vehicle-to-cloud multipath transmission. Network Coding (NC) has ...
ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
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Springer
, 2022 , Article)
Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related to device mobility are handover prediction and access point selection. Due to the complex nature of the radio environment, ...
IoT malicious traffic identification using wrapper-based feature selection mechanisms
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Elsevier Ltd
, 2020 , Article)
Machine Learning (ML) plays very significant role in the Internet of Things (IoT) cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms are widely applied for IoT traffic identification ...
A battery health monitoring method using machine learning: A data-driven approach
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MDPI
, 2020 , Article)
Batteries are combinations of electrochemical cells that generate electricity to power electrical devices. Batteries are continuously converting chemical energy to electrical energy, and require appropriate maintenance to ...
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
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Springer Nature
, 2022 , Article)
Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ...
Offline Pashto Characters Dataset for OCR Systems
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Hindawi
, 2021 , Article)
In computer vision and artificial intelligence, text recognition and analysis based on images play a key role in the text retrieving process. Enabling a machine learning technique to recognize handwritten characters of a ...
Fusion of Machine Learning and Privacy Preserving for Secure Facial Expression Recognition
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Hindawi
, 2021 , Article)
The interest in Facial Expression Recognition (FER) is increasing day by day due to its practical and potential applications, such as human physiological interaction diagnosis and mental disease detection. This area has ...