[HTML][HTML] AIPpred: sequence-based prediction of anti-inflammatory peptides using random forest

B Manavalan, TH Shin, MO Kim, G Lee - Frontiers in pharmacology, 2018 - frontiersin.org
The use of therapeutic peptides in various inflammatory diseases and autoimmune
disorders has received considerable attention; however, the identification of anti …

[HTML][HTML] Detecting depression signs on social media: a systematic literature review

R Salas-Zárate, G Alor-Hernández, MP Salas-Zárate… - Healthcare, 2022 - mdpi.com
Among mental health diseases, depression is one of the most severe, as it often leads to
suicide; due to this, it is important to identify and summarize existing evidence concerning …

[HTML][HTML] Topic modeling in marketing: recent advances and research opportunities

M Reisenbichler, T Reutterer - Journal of Business Economics, 2019 - Springer
Using a probabilistic approach for exploring latent patterns in high-dimensional co-
occurrence data, topic models offer researchers a flexible and open framework for soft …

[图书][B] Biochar and application of machine learning: a review

K Ukoba, TC Jen - 2022 - intechopen.com
This study discusses biochar and machine learning application. Concept of biochar,
machine learning and different machine learning algorithms used for predicting adsorption …

Flood susceptibility assessment by using bivariate statistics and machine learning models-a useful tool for flood risk management

R Costache - Water Resources Management, 2019 - Springer
In Romania, as in the rest of the world, the flood frequency has increased considerably.
Prahova river basin is among the most exposed catchments of the country to flood risk. It …

A survey of semantic analysis approaches

SA Salloum, R Khan, K Shaalan - Proceedings of the International …, 2020 - Springer
Abstract Semantics is a branch of linguistics, which aims to investigate the meaning of
language. Semantics deals with the meaning of sentences and words as fundamentals in …

Mapping computer vision research in construction: Developments, knowledge gaps and implications for research

B Zhong, H Wu, L Ding, PED Love, H Li, H Luo… - Automation in …, 2019 - Elsevier
Computer vision is transforming processes associated with the engineering and
management of construction projects. It can enable the acquisition, processing, analysis of …

Hyperspectral document image processing: Applications, challenges and future prospects

R Qureshi, M Uzair, K Khurshid, H Yan - Pattern Recognition, 2019 - Elsevier
Automatic image analysis is a crucial component of many intelligent systems designed for
high-level understanding of documents. Most document image understanding systems are …

Comparative study between traditional machine learning and deep learning approaches for text classification

CN Kamath, SS Bukhari, A Dengel - Proceedings of the ACM …, 2018 - dl.acm.org
In this contemporaneous world, it is an obligation for any organization working with
documents to end up with the insipid task of classifying truckload of documents, which is the …

Beyond positive and negative emotions: Looking into the role of achievement emotions in discussion forums of MOOCs

W Xing, H Tang, B Pei - The Internet and Higher Education, 2019 - Elsevier
Millions of students register for Massive Open Online Courses (MOOCs) to look for
opportunities for learning and self-development. However, the learning process usually …