Machine learning for email spam filtering: review, approaches and open research problems
The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …
the development of more dependable and robust antispam filters. Machine learning …
Long-short term memory technique for monthly rainfall prediction in Thale Sap Songkhla River Basin, Thailand
Rainfall is a primary factor for agricultural production, especially in a rainfed agricultural
region. Its accurate prediction is therefore vital for planning and managing farmers' …
region. Its accurate prediction is therefore vital for planning and managing farmers' …
Learning pedestrian models for silhouette refinement
Lee, Dalley, Tieu - Proceedings Ninth IEEE International …, 2003 - ieeexplore.ieee.org
We present a model-based method for accurate extraction of pedestrian silhouettes from
video sequences. Our approach is based on two assumptions, 1) there is a common …
video sequences. Our approach is based on two assumptions, 1) there is a common …
Utilizing machine learning to estimate monthly streamflow in ungauged basins of Thailand's southern basin
Predicting streamflow in ungauged basins is a challenging hydrological issue that requires
accurate estimation for effective water resource management. This article aims to evaluate …
accurate estimation for effective water resource management. This article aims to evaluate …
A study of machine learning algorithms on email spam classification
N Sattu - 2020 - search.proquest.com
The act of sending unwanted email messages in large quantities to the recipients who have
not verifiably given permission to be sent is known as email spam. Even though a lot of …
not verifiably given permission to be sent is known as email spam. Even though a lot of …
Comparative study of neural networks in path planning for catering robots
H Bharadwaj, V Kumar - Procedia computer science, 2018 - Elsevier
Neural Networks (NN) have been the forefront of growth in recent years due to their variety,
the opportunities they provide and most importantly their dynamic nature. A control system …
the opportunities they provide and most importantly their dynamic nature. A control system …
Performance comparison of artificial neural network models for dengue fever disease detection
PS Sasongko, HA Wibawa, F Maulana… - 2017 1st international …, 2017 - ieeexplore.ieee.org
Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by dengue virus and
transmitted by Ae mosquitoes. Aegypti. The mortality rate due to dengue disease is relatively …
transmitted by Ae mosquitoes. Aegypti. The mortality rate due to dengue disease is relatively …
Fractal based cognitive neural network to detect obfuscated and indistinguishable internet threats
S Siddiqui, MS Khan, K Ferens… - 2017 IEEE 16th …, 2017 - ieeexplore.ieee.org
State of the art network intrusion detection systems are heavily influenced by signature
based techniques for detecting threats which are extracted from raw packet captures and …
based techniques for detecting threats which are extracted from raw packet captures and …
A unified score propagation model for web spam demotion algorithm
Web spam pages exploit the biases of search engine algorithms to get higher than their
deserved rankings in search results by using several types of spamming techniques. Many …
deserved rankings in search results by using several types of spamming techniques. Many …