Indexing the Future of Cognition & Machine Intelligence

Measuring Machine Learning Systems: Deep Learning Recommendation Model Performance

Matthew Edmund Wood, Jichun Wu, Andrew Moore

Also available via: Proceedings of the 10th Asia-Pacific Workshop on Networking

ACD-U: Asymmetric co-teaching with machine unlearning for robust learning with noisy labels

Reo Fukunaga, Soh Yoshida, Mitsuji Muneyasu

Modelling daily fine particulate matter (PM2.5) and wildfire effects using machine learning and deep learning in a cold urban region

Yingzhuo Wang, Mojtaba Aghajani Delavar, Junye Wang

Multi-timescale streamflow projections in human-regulated basins of southwest Iran using CWatM and explainable machine learning

Mahdi Mohammadnezhad, Ali Rezaee, Mikhail Smilovic

Also available via: Journal of Hydrology: Regional Studies

Training Deep Reinforcement Learning Agents to Coordinate with Humans using Perceptual-motor Primitives of Human Behavior

Gaurav Patil, Le Quynh Trang Pham, Patrick Nalepka, Rachel W. Kallen, Michael J. Richardson

Environmental policies and innovation potential: Evidence from a deep learning neural network model

Suleiman O. Mamman, Shujaat Abbas

Also available via: Innovation and Green Development

Advanced machine learning approach using Kolmogorov-Arnold Networks (KANs) and comparison with RSM for optimization of biodiesel yield from palm based waste cooking oil

Abdul Rehman, Zhang Yunhe, Ding Zhou, Fayaz Hussain, Luqman Razzaq, Meor Faisal Zulkifli, et al.

Advancing ecological network resilience early warning in alpine source regions: A machine learning and multi-scale diagnostic framework

Shangbo Li, Yong Chen, Lihua Zhou, Ximing Huang, Jing Shu, Qihan Huang, et al.

Also available via: Ecological Indicators

Integrated effects of land-use change and human–environment interactions on habitat quality in the Chengdu–Chongqing urban agglomeration: Insights from explainable machine learning and structural equation modeling

Li Wang, Zhongsheng Chen, Ling Zhang, Xiaoyu Gao, Xinyu Xiong, Shuo Liu

Also available via: Ecological Indicators

Tracheostomy weaning in patients with severe acquired brain injury: External validation of machine learning models

Piergiuseppe Liuzzi, Bahia Hakiki, Francesca Draghi, Agnese De Nisco, Anna Maria Romoli, Daniela Maccanti, et al.

Field-based and close-range multispectral imaging dataset for Huanglongbing (HLB) detection in orange trees: A resource for machine learning and digital agriculture

Letícia Rosim Porto, Florent Abdelghafour, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai

Integrative network toxicology, multiomics, and machine learning elucidate zearalenone-induced developmental toxicity mechanisms in zebrafish (Danio rerio)

Bingxuan Jia, Huikang Lin, Yingzhu Tan, Aibo Wu

Towards a comprehensive taxonomy of online abusive language informed by machine learning

Samaneh Hosseini Moghaddam, Kelly Lyons, Cheryl Regehr, Vivek Goel, Kaitlyn Regehr

Spatial transferability of machine and deep learning models for reference evapotranspiration estimation: Implications for climate-smart irrigation water management in Bangladesh

Md Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, Mst Rimi Khatun, A.K.M. Adham

Integrated network toxicology, machine learning, molecular docking, single-cell transcriptomics and experimental validation to elucidate mechanism of polyethylene terephthalate microplastics contributing to intervertebral disc degeneration

Xiaokai Tang, Mingyu Zhu, Bo Gao, Qing Zhou, Wei Qin, Xi Chen

Transfer learning-powered physics-informed neural network for forecasting and inversion analysis of rainfall-induced landslides

Shian Cao, Lin Li, Weibing Gong

Estimation of soil salinity in rice fields via satellite imagery and machine learning

George Routis, Konstantina Remoundou, Ioanna Roussaki

A machine learning approach to developing behaviour classification models of grazing cattle using Global Navigation Satellite System (GNSS) data

Hong Viet Duong, Gamaliel Simanungkalit, Derek Schneider, Frances Cowley, David Lamb, Stephen Ives, et al.

Optimizing soil-moisture sensor placement according to seasonal and site conditions for smart irrigation using satellite data and machine learning

Okacha Amraouy, Siham Kharraz, Mohammed Benbrahim, Mohammed Nabil Kabbaj

Enhancing satellite-based turbidity monitoring in drinking water source lakes using optical classification–guided machine learning

Zhilong Zhao, Shaohua Lei, Xiaoran Gong, Shaoqi Gong, Xiaolan Cai, Shuai Zeng, et al.

Also available via: Ecological Indicators

A physics-informed machine learning framework for climate-aware digital twins in decentralised energy systems

Muhammed Cavus, Jing Jiang, Adib Allahham, Hongjian Sun

Also available via: Applied Energy

A new approach for estimating the three-dimensional spatiotemporal distribution of wheat canopy water content based on multi-source data and machine learning

Yangyang Gu, Yongqing Wang, Yangming Zhang, Yapeng Wu, Tongjie Li, Hongxu Ai, et al.

Also available via: Smart Agricultural Technology

Fast prediction of FCC regenerator temperature fields using digital – twin based on convolutional autoencoder dimensionality reduction and machine learning

Ahmad Alsuwaidi, John Nikko V. Salvilla, Jackie Rong, Mohamed Atef, Runze Yang, Qianqian Liu, et al.

Methodological challenges in machine learning and deep learning applied to food analysis: A critical review

Giorgio Felizzato, Eloisa Bagnulo, Giulia Tapparo, Giorgia Botta, Chiara Cordero, Erica Liberto, et al.

An explainable AI framework (XAI-CoffeeNet) with deep learning and vision transformers for Saudi coffee disease recognition and severity assessment

Mohsen H. Alhazmi

Detection and gradation of sweet potato storage roots by machine vision and deep learning

Yueming Zhu, Xujing Xia, Junkai Zhou, Alwaseela Abdalla, Ximing Xu, Guoquan Lu, et al.

A review of cattle behavior recognition methods based on computer vision and deep learning

Lei Yuan, Weiran Li, Jun Yue, Zhenbo Li, Yixun Zhao, Qiaoyu Li, et al.

Real-time maize crown detection and robotic autonomous navigation for precision fertilization via lightweight-improved deep learning

Xiangyin Meng, Fei Cao, Zhilin Chen, Ying Cao, Jinsong Li, Ying Li, et al.

Also available via: Smart Agricultural Technology

Comparison of the new hybrid versus water cooling systems for electric vehicle battery: a machine learning approach

Karem Elsayed Elfeky, Mohamed Hosny, Abubakar Gambo Mohammed, Jiaqi Wang, Kun Ge

Also available via: Ain Shams Engineering Journal

Feed-forward neural network and Levenberg-Marquardt backpropagation algorithm for time-dependent squeezing dynamics prediction of polymer penta-hybrid nanofluid using machine learning

Davood Domiri Ganji, Mehdi Mahboobtosi, Fateme Nadalinia Chari

Also available via: International Journal of Electrochemical Science