A comprehensive survey on support vector machine classification: Applications, challenges and trends

J Cervantes, F Garcia-Lamont, L Rodríguez-Mazahua… - Neurocomputing, 2020 - Elsevier
In recent years, an enormous amount of research has been carried out on support vector
machines (SVMs) and their application in several fields of science. SVMs are one of the …

[HTML][HTML] Artificial intelligence for aging and longevity research: Recent advances and perspectives

A Zhavoronkov, P Mamoshina, Q Vanhaelen… - Ageing research …, 2019 - Elsevier
The applications of modern artificial intelligence (AI) algorithms within the field of aging
research offer tremendous opportunities. Aging is an almost universal unifying feature …

Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis

Y Su, X Tian, R Gao, W Guo, C Chen, C Chen… - Computers in biology …, 2022 - Elsevier
Advanced metastasis of colon cancer makes it more difficult to treat colon cancer. Finding
the markers of colon cancer (Colon Cancer) can diagnose the stage of cancer in time and …

Characteristics of drought propagation and effects of water resources on vegetation in the karst area of Southwest China

Y Liu, F Shan, H Yue, X Wang - Science of The Total Environment, 2023 - Elsevier
The topography is complex in the southwest karst region of China, with severe surface water
scarcity but abundant groundwater resources. Studying drought propagation and vegetation …

[HTML][HTML] The use of random forest to identify climate and human interference on vegetation coverage changes in southwest China

Y Wang, X Chen, M Gao, J Dong - Ecological Indicators, 2022 - Elsevier
Identifying vegetation changes and the associated driving forces provides a valuable
reference for developing ecological restoration strategies. However, it remains a challenge …

Stress monitoring using wearable sensors: IoT techniques in medical field

FM Talaat, RM El-Balka - Neural Computing and Applications, 2023 - Springer
Abstract The concept “Internet of Things”(IoT), which facilitates communication between
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …

A hybrid CFS filter and RF-RFE wrapper-based feature extraction for enhanced agricultural crop yield prediction modeling

D Elavarasan, DR Vincent PM, K Srinivasan… - Agriculture, 2020 - mdpi.com
The innovation in science and technical knowledge has prompted an enormous amount of
information for the agrarian sector. Machine learning has risen with massive processing …

Optimization of models for a rapid identification of lithology while drilling-A win-win strategy based on machine learning

J Sun, Q Li, M Chen, L Ren, G Huang, C Li… - Journal of Petroleum …, 2019 - Elsevier
The identification of lithology from well log data is an important task in petroleum exploration
and development. However, due to the complexity of the sedimentary environment and …

Mapping of land cover with optical images, supervised algorithms, and google earth engine

F Pech-May, R Aquino-Santos, G Rios-Toledo… - Sensors, 2022 - mdpi.com
Crops and ecosystems constantly change, and risks are derived from heavy rains,
hurricanes, droughts, human activities, climate change, etc. This has caused additional …

Machine learning to predict serious bacterial infections in young febrile infants

S Ramgopal, CM Horvat, N Yanamala, ER Alpern - Pediatrics, 2020 - publications.aap.org
BACKGROUND: Recent decision rules for the management of febrile infants support the
identification of infants at higher risk of serious bacterial infections (SBIs) without the …