Articles

Integrating geometries of ReLU feedforward neural networks

in Machine Learning and Artificial Intelligence

• Yajing Liu
• Turgay Caglar
• Christopher Peterson
• Michael Kirby

Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks

• Zane Z. Chou
• Jean-Marie C. Bouteiller

Deriving equivalent symbol-based decision models from feedforward neural networks

in Machine Learning and Artificial Intelligence

• Sebastian Seidel
• Uwe M. Borghoff

Artificial Neural Networks (ANNs) as a Novel Modeling Technique in Tribology

in Tribology

• Ivan Argatov

An Introductory Review of Deep Learning for Prediction Models With Big Data

in Machine Learning and Artificial Intelligence

• Frank Emmert-Streib
• Zhen Yang
• Han Feng
• Shailesh Tripathi
• Matthias Dehmer

Estimating vertical ground reaction forces during gait from lower limb kinematics and vertical acceleration using wearable inertial sensors

in Biomechanics

• David Martínez-Pascual
• José M. Catalán
• Andrea Blanco-Ivorra
• Mónica Sanchís
• Francisca Arán-Ais
• Nicolás García-Aracil

Modeling the shape hierarchy for visually guided grasping

• Omid Rezai
• Ashley Kleinhans
• Eduardo Matallanas
• Ben Selby
• Bryan P. Tripp

To Estimate Performance of Artificial Neural Network Model Based on Terahertz Spectrum: Gelatin Identification as an Example

in Nutrition and Food Science Technology

• Yizhang Li
• Lingyu Liu
• Zhongmin Wang
• Tianying Chang
• Ke Li
• Wenqing Xu
• Yong Wu
• Hua Yang
• Daoli Jiang

Transfer of conflict and cooperation from experienced games to new games: a connectionist model of learning

in Decision Neuroscience

• Leonidas Spiliopoulos

Machine learning-based clinical mastitis detection in dairy cows using milk electrical conductivity and somatic cell count

in Veterinary Infectious Diseases

• Lihong Pan
• Xiao Chen
• Ding Han
• Nan Li
• Deyong Chen
• Junbo Wang
• Jian Chen
• Xiaoye Huo

A radiative transfer deep learning model coupled into WRF with a generic fortran torch adaptor

in Atmospheric Science

• Bin Mu
• Lu Chen
• Shijin Yuan
• Bo Qin

Designing a set of criteria for evaluating artificial neural networks trained with physics-based data to replicate molecular dynamics and other particle method trajectories

in Computational Nanotechnology

• Alessio Alexiadis

Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition

in Perception Science

• Courtney J. Spoerer
• Patrick McClure
• Nikolaus Kriegeskorte

Federated quantum-inspired anomaly detection using collaborative neural clients

in AI for Human Learning and Behavior Change

• Deepthi Godavarthi
• Venkata Charan Sathvik Rekapalli
• Sribidhya Mohanty
• J. V. S. D. Vigneswara Jaswanth
• Dinesh Polisetty
• Bibhuti Bhusan Dash
• Fernando Moreira

ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory

in Natural Language Processing

• Wael Alosaimi
• Hager Saleh
• Ali A. Hamzah
• Nora El-Rashidy
• Abdullah Alharb
• Ahmed Elaraby
• Sherif Mostafa

Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks

• R. Deeptha
• K. Ramkumar
• Sri Venkateswaran
• Mohammad Mehedi Hassan
• Md. Rafiul Hassan
• Farzan M. Noori
• Md. Zia Uddin