[HTML][HTML] A decision support system for classifying supplier selection criteria using machine learning and random forest approach
Supplier selection is an important process in supply chain management that sets a
foundation for a long-term partnership with suppliers that can greatly contribute to the …
foundation for a long-term partnership with suppliers that can greatly contribute to the …
[HTML][HTML] Recent Progress in Terrestrial Biota Derived Antibacterial Agents for Medical Applications
Conventional antibiotic and multidrug treatments are becoming less and less effective and
the discovery of new effective and safe antibacterial agents is becoming a global priority …
the discovery of new effective and safe antibacterial agents is becoming a global priority …
Utilizing different machine learning techniques to examine speeding violations
AH Alomari, BW Al-Mistarehi, TK Alnaasan… - Applied Sciences, 2023 - mdpi.com
This study investigated the potential impacts on speeding violations in the United States,
including the top ten states in terms of crashes: California, Florida, Georgia, Illinois …
including the top ten states in terms of crashes: California, Florida, Georgia, Illinois …
[HTML][HTML] Identifying Potential Natural Antibiotics from Unani Formulas through Machine Learning Approaches
The Unani Tibb is a medical system of Greek descent that has undergone substantial
dissemination since the 11th century and is currently prevalent in modern South and Central …
dissemination since the 11th century and is currently prevalent in modern South and Central …
Deep Learning Approach for Predicting the Therapeutic Usages of Unani Formulas towards Finding Essential Compounds
The use of herbal medicines in recent decades has increased because their side effects are
considered lower than conventional medicine. Unani herbal medicines are often used in …
considered lower than conventional medicine. Unani herbal medicines are often used in …
Upaya peningkatan konsumsi minuman sehat melalui program konservasi tanaman herbal
Perubahan ke arah modern meninggalkan budaya lama mulai terjadi di masa saat ini
terutama pada usia remaja. Hal-hal yang berbau tradisional oleh remaja mulai ditinggalkan …
terutama pada usia remaja. Hal-hal yang berbau tradisional oleh remaja mulai ditinggalkan …
Analysis of Electrochemically Active Substances in Malvaceae Leaves via Electroanalytical Sensing Technology for Species Identification
Q Wang, W Ye, D Li, J Zhu, C Liu, C Lin, L Fu, Z Xu - Micromachines, 2023 - mdpi.com
Electrochemical analysis has become a new method for plant analysis in recent years. It can
not only collect signals of electrochemically active substances in plant tissues, but can also …
not only collect signals of electrochemically active substances in plant tissues, but can also …
Android Malware Detection using Fast Correlation Based Filter and Random Forest Algorithm
SA Amalina, FA Rafrastara… - … International Seminar on …, 2024 - ieeexplore.ieee.org
Malware analysts have faced several difficulties in the past few years due to the rapid growth
of Android malware. This surge in Android malware not only threatens the security and …
of Android malware. This surge in Android malware not only threatens the security and …
Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach
This study employs a multi-faceted approach to identify potential natural antibiotics derived
from plants used in the Unani formula. The first approach involves a supervised network …
from plants used in the Unani formula. The first approach involves a supervised network …
The Sophisticated Prognostication of Migraine Aura Using Machine Learning
Migraine is one of the most disabling diseases in the world and impacting more than one
billion individuals. The symptoms such as intensity, Nausea, Vomit, Phonophobia …
billion individuals. The symptoms such as intensity, Nausea, Vomit, Phonophobia …