Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

Subjects: “…Federal learning…”
Get full text

A Study on Using Hands-on Science Inquiries to Promote the Geology Learning of Preservice Teachers by Ching-San Lai

Subjects: Get full text

The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches by Md. Idris Ali, Md. Atikur Rahaman, Mohammed Julfikar Ali, Md. Ferdausur Rahman

“…To validate robustness, the Kernel Regularized Least Squares (KRLS) machine learning approach is employed, confirming the consistency of results. …”
Get full text

Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…The present study employs deep learning models trained using Transfer Learning (TL) techniques. …”
Get full text

Teaching and learning with instructional humor: a review of five-decades research and further direction by Weichen Zhou, Weichen Zhou, Jun Choi Lee

Subjects: Get full text

Machine learning–based automated image processing for quality management in industrial Internet of Things by Nematullo Rahmatov, Anand Paul, Faisal Saeed, Won-Hwa Hong, HyunCheol Seo, Jeonghong Kim

“…In this article, we propose a highly efficient model to automate central processing unit system production lines in an industry such that images of the production lines are scanned and any abnormalities in their assembly are pointed out by the model and information about this is transferred to the system administrator via a cyber-physical cloud system network. A machine learning–based approach is used for proper classification. …”
Get full text

Deep learning-based method for mobile social networks with strong sparsity for link prediction by HE Yadi, LIU Linfeng

Subjects: Get full text

Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

Subjects: Get full text

Enhancing Spam Filtering: A Comparative Study of Modern Advanced Machine Learning Techniques by Zhang Chenwei

“…With an emphasis on Naïve Bayes (NB), Decision Trees (DT), and Support Vector Machines (SVM), this study offers a thorough analysis of the major machine learning techniques utilized in contemporary spam filtering. …”
Get full text

Studi Awal Deteksi COVID-19 Menggunakan Citra CT Berbasis Deep Learning by Windra Swastika

“…This research is a preliminary study to see whether CT images of the thorax organs can be used as an alternative to detect COVID-19 virus. The deep learning is used to create a model with CT images as input. …”
Get full text

A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

“…Current methods for cardiovascular disease prediction is leading to so many miss classifications, urging the need of modern automated Deep learning approaches. The main purpose of these approaches is to detect the occurrence of cardiovascular disease (CVD) using patient information from comprehensive electronic health records (HER). …”
Get full text

Time-series forecasting of microbial fuel cell energy generation using deep learning by Adam Hess-Dunlop, Harshitha Kakani, Stephen Taylor, Dylan Louie, Jason Eshraghian, Colleen Josephson

Subjects: Get full text

Image Reconstruction for High-Performance Electrical Capacitance Tomography System Using Deep Learning by Yanpeng Zhang, Deyun Chen

“…An optimization model for imaging is generated as a powerful optimizer for building a computational model to ameliorate the reconstruction accuracy. Based on the deep learning methodology, the previous images reconstructed by using one of the imaging techniques to the required images are abstracted and stored in the deep learning machine, resulting in an error rate of 8.9%, and this is considered good on ECT. …”
Get full text

Multi-tenant computing network resource allocation algorithm based on deep reinforcement learning by HU Yuxiang, FENG Xu, DONG Yongji, HE Mengyang, ZHUANG Lei, SONG Yanrui

Subjects: Get full text

Feature importance analysis of solar flares and prediction research with ensemble machine learning models by Yun Yang, Yun Yang

Subjects: Get full text

Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning by Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam

Subjects: Get full text

ANALYSIS OF ORGANISATIONAL PERFORMANCE OF NON-PROFIT INSTITUTIONS: THE CASE OF LIFELONG LEARNING INSTITUTIONS IN CROATIA by Zoran Mihanović, Jurica Pavičić, Nikša Alfirević

Subjects: “…institutions of lifelong learning…”
Get full text

Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices by Sumitra Nuanmeesri

Subjects: Get full text

Physical-aware model accuracy estimation for protein complex using deep learning method by Haodong Wang, Meng Sun, Lei Xie, Dong Liu, Guijun Zhang

“…In this work, we propose a physical-aware deep learning method, DeepUMQA-PA, to evaluate the residue-wise quality of protein complex models. …”
Get full text

Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

Subjects: Get full text