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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM.
Sci Rep
October 2024
College of Information Science Technology, Hainan Normal University, No. 99 LongKun South Road, Haikou city, 571158, Hainan Province, China.
Article Synopsis
- The text discusses the importance of anomaly detection in the Industrial Internet of Things (IIoT) due to increasing data and security challenges.
- It introduces a new deep learning model called MIX_LSTM designed to improve anomaly detection by optimizing feature selection and loss functions that address data imbalances.
- The model was tested on two datasets (UNSW-NB15 and NSL-KDD), achieving impressive metrics like low False Alarm Rates and high AUC-ROC and AUC-PR values, demonstrating its effectiveness in detecting anomalies.
Marine Bacteriocins: An Evolutionary Gold Mine to Payoff Antibiotic Resistance.
Mar Drugs
August 2024
Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA.
The rapid evolution of drug resistance is one of the greatest health issues of the 21st century. There is an alarming situation to find new therapeutic strategies or candidate drugs to tackle ongoing multi-drug resistance development. The marine environment is one of the prime natural ecosystems on Earth, the majority of which is still unexplored, especially when it comes to the microbes.
View Article and Find Full Text PDFHigh non-use of contraception among tribal and non-tribal women in North-Eastern India: alarming but neglected.
J Biosoc Sci
July 2024
Department of Development Studies, International Institute of Population Studies, Mumbai, India.
Limited evidence exists about the contraception uptake in indigenous tribal groups of the north-eastern region of India. This study based on the National Family Health Survey (NFHS) IV (2015-2016) reports aimed to describe the pattern and factors associated with contraceptive non-use in the tribal women of the north-eastern part of India. The study was a cross-sectional analytical study based on secondary analysis of NFHS-IV data.
View Article and Find Full Text PDFOptimized Intrusion Detection for IoMT Networks with Tree-Based Machine Learning and Filter-Based Feature Selection.
Sensors (Basel)
September 2024
Department of Electrical Engineering & Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA.
The Internet of Medical Things (IoMTs) is a network of connected medical equipment such as pacemakers, prosthetics, and smartwatches. Utilizing the IoMT-based system, a huge amount of data is generated, offering experts a valuable resource for tasks such as prediction, real-time monitoring, and diagnosis. To do so, the patient's health data must be transferred to database storage for processing because of the limitations of the storage and computation capabilities of IoMT devices.
View Article and Find Full Text PDFSafe use elements of finished herbal products: insights from consumers and practitioners in Malaysia.
BMC Complement Med Ther
July 2024
Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, 50300, Malaysia.
Background: The use of finished herbal products (FHPs) among Malaysians today is expanding rapidly leading to a huge market of FHPs in the country. However, the mass production of FHPs in today's market is alarming due to safety-use issues that could lead to serious adverse effects. Nevertheless, demands are still high for FHPs as most consumers perceived it as safe to consume as it is made from natural substances as the active ingredients.
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