Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset Approach by Manjunatha Shettigere Krishna, Pedro Machado, Richard I. Otuka, Salisu W. Yahaya, Filipe Neves dos Santos, Isibor Kennedy Ihianle

Subjects: Get full text

Combining CFD and AI/ML Modeling to Improve the Performance of Polypropylene Fluidized Bed Reactors by Nayef Ghasem

Subjects: Get full text

A Study of Landslide Susceptibility Assessment and Trend Prediction Using a Rule-Based Discrete Grid Model by Yanjun Duan, Xiaotong Zhang, Wenbo Zhao, Xinpei Han, Lingfeng Lv, Yunjun Yao, Kun Jia, Qiao Wang

Subjects: Get full text

Artificial Intelligence: The Strategy of Financial Risk Management by A. Kumar, A Kumar, S. Kumari, S. Kumar, N. Kumari, A. K. Behura

Subjects: Get full text

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database by Hongyi Chen, Haiyang Song, Hongyu Huang, Xiaojun Fang, Huang Chen, Qingqing Yang, Junyu Zhang, Wenjun Ding, Zheng Gong, Jun Ke

Subjects: Get full text

Progress on the world’s primate hotspots and coldspots: modeling ensemble super SDMs in cloud-computers based on digital citizen-science big data and 200+ predictors for more susta... by Moriz Steiner, Falk Huettmann

Subjects: Get full text

Merging Real-Time NIR and Process Parameter Measurements in a Fluidized Bed Granulation Process to Predict Particle Size by Ozren Jovic, Marcus O’Mahony, Samuel Solomon, David Egan, Chris O’Callaghan, Caroline McCormack, Ian Jones, Patrick Cronin, Gavin M. Walker, Rabah Mouras

Subjects: Get full text

Leveraging big data and artificial intelligence for smarter trials in myeloproliferative neoplasms by Joshua W. Bliss, Spencer Krichevsky, Spencer Krichevsky, Joseph Scandura, Ghaith Abu-Zeinah

Subjects: Get full text

Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach by Joy Prokash Debnath, Kabir Hossen, Sabrina Bintay Sayed, Md. Sayeam Khandaker, Preonath Chondrow Dev, Saifuddin Sarker, Tanvir Hossain

Subjects: Get full text

Urban buzz or urban bust? Beekeeping challenges, suitability, and survival insights in Montreal, Canada by Navid Mahdizadeh Gharakhanlou, Julien Vadnais, Liliana Perez, Nico Coallier

Subjects: Get full text

Process simulations of fiber reinforced polymer composites towards AI ages by ZHOU Yubo, LI Min, WANG Shaokai, GU Yizhuo, TAO Fei, CHEN Xiangbao, ZHANG Zuoguang

Subjects: Get full text

IMPLEMENTING ARTIFICIAL INTELLIGENCE BY SMALL ACCOUNTING FIRMS IN THE CONTEXT OF INDUSTRY 4.0: NECESSITY OR AN EXPENSIVE by Cristian Dragoș Țurcan, Andreea Gabriela Tănase, Andreea Măldăreanu, Raluca-Florentina Crețu, Viorel - Costin Banța

Subjects: Get full text

Hindcasting Maximum Water Depths in Coastal Watersheds: The Importance of Incorporating Off‐Channel Data and Their Uncertainties in Machine Learning Models by Maryam Pakdehi, Ebrahim Ahmadisharaf

Subjects: Get full text

IMPROVING PREDICTION OF DEPRESSION AN ANALYTICAL COMPARISON BETWEEN HYBRID AI, MACHINE LEARNING AND DEEP LEARNING APPROACHES by Kanchapogu Naga Raju, Sachi Nandan Mohanty

Subjects: Get full text

A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions by Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, Sudipta Saha, Ajoy Roy

Subjects: Get full text

Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors by Ghada Ali, Lotfy Samy, Omar M. Saad, Ali G. Hafez, El-Sayed Hasaneen, Kamal AbdElrahman, Ibrahim Salah, Mohammed S. Fnais, Hamed Nofel, Ahmed M. Mohamed

Subjects: Get full text

Trade Ease With Machine Learning and AWS by Kamurthi Ravi Teja, Chuan-Ming Liu

Subjects: Get full text

Chlorophyll-a Prediction Based on Machine Learning and Satellite Data in the South Sea of Korea by Heejun Kim, Bong-Guk Kim, Kuk Jin Kim, Tae-Ho Kim, Hye-Kyeong Shin, Jin Hyun Han

Subjects: Get full text

Artificial Intelligence (AI) approach for the quantification of C-phycocyanin in Spirulina platensis: Hybrid stacking-ensemble model based on machine learning and deep learning by Jun Wei Roy Chong, Kuan Shiong Khoo, Huong-Yong Ting, Iwamoto Koji, Zengling Ma, Pau Loke Show

Subjects: Get full text

Machine Learning Recognizes Stages of Parkinson’s Disease Using Magnetic Resonance Imaging by Artur Chudzik

Subjects: “…machine learning (ML)…”
Get full text