Radiomics-based Machine Learning Approach to Predict Chemotherapy Responses in Colorectal Liver Metastases by Yuji Miyamoto, Takeshi Nakaura, Mayuko Ohuchi, Katsuhiro Ogawa, Rikako Kato, Yuto Maeda, Kojiro Eto, Masaaki Iwatsuki, Yoshifumi Baba, Toshinori Hirai, Hideo Baba

Subjects: “…machine learning…”
Get full text

Recognition and localization of ratoon rice rolled stubble rows based on monocular vision and model fusion by Yuanrui Li, Yuanrui Li, Liping Xiao, Liping Xiao, Zhaopeng Liu, Zhaopeng Liu, Muhua Liu, Muhua Liu, Peng Fang, Peng Fang, Xiongfei Chen, Xiongfei Chen, Jiajia Yu, Jiajia Yu, Jinlong Lin, Jinlong Lin, Jinping Cai, Jinping Cai

Subjects: Get full text

Developing a creative pedagogy to understand the university experience of non-traditional students by Helena Gosling, Lol Burke, Sarah MacLennan

Subjects: Get full text

A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

Subjects: Get full text

Ecological Stress Modeling to Conserve Mangrove Ecosystem Along the Jazan Coast of Saudi Arabia by Asma A. Al-Huqail, Zubairul Islam, Hanan F. Al-Harbi

Subjects: Get full text

Superconducting quantum computing optimization based on multi-objective deep reinforcement learning by Yangting Liu

Subjects: Get full text

A New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines by Mustafa COBAN, Gokhan GELEN

Subjects: Get full text

Integrating mitochondrial and lysosomal gene analysis for breast cancer prognosis using machine learning by Huilin Chen, Zhenghui Wang, Jiale Shi, Jinghui Peng

Subjects: Get full text

Inhibitory properties of a latent inhibitor after its compound preexposure with several novel stimuli: evidence from human conditioning by Unai Liberal, Gabriel Rodríguez, Paula Nogueiras, James Byron Nelson, Geoffrey Hall, Geoffrey Hall

Subjects: Get full text

Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation by Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

Subjects: “…Contrastive learning…”
Get full text

Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

Subjects: Get full text

Monitoring changes of forest height in California by Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi

Subjects: Get full text

Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments by Koji Hashimoto, Koshiro Matsuo, Masaki Murata, Gakuto Ogiwara, Daichi Takeda

Subjects: “…machine-learning…”
Get full text

Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data by Bo Lu, Bo Lu, Qingyun Liu, Hao Liu, Tianxiang Long, Tianxiang Long

Subjects: Get full text

Dynamics between the obstacles of business environment and firm performance in Bangladesh: Survey-based empirical insights using ML algorithms by Chandan Kumar Roy

Subjects: Get full text

High-resolution hybrid TDM-CDM MIMO automotive radar by Zakaria Benyahia, Mostafa Hefnawi, Mohamed Aboulfatah, Hassan Abdelmounim, Jamal Zbitou

Subjects: Get full text

Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review by Victoria Moglia, Owen Johnson, Gordon Cook, Marc de Kamps, Lesley Smith

Subjects: “…Machine learning…”
Get full text

Towards Adaptive Information Systems: Individual Differences and Hypermedia by Sherry Yu-Hua Chen, Nigel J. Ford

Subjects: Get full text

Alternatives to Traditional Physical Science Laboratory Experiences: A Review by Mercy Ogunsola-bandele, Dietmar Kennepohl

Subjects: “…online learning…”
Get full text

Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

Subjects: Get full text