Modeling of Human Skin by the Use of Deep Learning by Xin Xiong, Xuexun Guo, Yiping Wang

“…Pattern recognition gets more attention in machine learning field to take advantage of data available for modern life. …”
Get full text

Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…In this paper, an approach using random forest (RF), which is one of the powerful machine learning algorithms, is proposed for predicting the compressive strength of concrete using GGBFS. …”
Get full text

Post-processing methods for delay embedding and feature scaling of reservoir computers by Jonnel Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue, Kathy Lüdge

“…Abstract Reservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. …”
Get full text

Dynamic Probability Analysis for Construction Schedule Using Subset Simulation by Shen Zhang, Xingyu Wang

“…Besides, we proposed a machine learning-based way to estimate task duration distributions in PCPM automatically. …”
Get full text

Low Complexity, Low Probability Patterns and Consequences for Algorithmic Probability Applications by Mohammad Alaskandarani, Kamaludin Dingle

“…Additionally, we examine some applications of algorithmic probability and discuss some implications of low complexity, low probability patterns for several research areas including simplicity in physics and biology, a priori probability predictions, Solomonoff induction and Occam’s razor, machine learning, and password guessing.…”
Get full text

Gaussian barebone mechanism and wormhole strategy enhanced moth flame optimization for global optimization and medical diagnostics. by Jingjing Ma, Zhifang Zhao, Lin Zhang

“…Through comparative analysis against five alternative machine learning methodologies across four evaluation metrics, our experimental findings evince the superior diagnostic accuracy and reliability of the proposed BWEMFO-KELM model.…”
Get full text

A Lightweight AI-Based Approach for Drone Jamming Detection by Sergio Cibecchini, Francesco Chiti, Laura Pierucci

“…In this paper, we propose a low complexity unsupervised machine learning approach for the detection of constant and periodic jamming attacks, using the Isolation Forest algorithm. …”
Get full text

Dealing with Demand in Electric Grids with an Adaptive Consumption Management Platform by Diego M. Jiménez-Bravo, Juan F. De Paz, Gabriel Villarrubia, Javier Bajo

“…More specifically, the agents incorporate a case-based reasoning system and machine learning techniques. Besides, the multiagent system includes agents that are specialized in the management of the data acquired and the electrical devices. …”
Get full text

The Enforcement of Law and Policy on STM with the Emergence of Advanced Technologies by Elham Farahani, Shouping Li

“…It also examines the fact that the utilization of advanced technologies in the environment of outer space presents both opportunities and challenges, especially with the emergence of Artificial Intelligence (AI) and Machine Learning (ML). Although revising all regulations is anticipated to be a challenging and time-consuming process, it can be implemented through communication and cooperation between spacefaring countries, private space operators, and other relevant entities at the national and international levels, as well as permanent monitoring and evaluation of all technologies to ensure that they are used in a manner that is consistent with established laws and policies.…”
Get full text

sEMG Based Human Motion Intention Recognition by Li Zhang, Geng Liu, Bing Han, Zhe Wang, Tong Zhang

“…According to the method adopted, motion intention recognition is divided into two groups: sEMG-driven musculoskeletal (MS) model based motion intention recognition and machine learning (ML) model based motion intention recognition. …”
Get full text

Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning by Li Shuyi, Zhang Bairong

“…Hierarchical Federated Learning (FL) presents a novel approach that combines global model training with localized personalization fine-tuning to enhance the predictive accuracy of decentralized machine learning systems. Traditional FL methods, which allow multiple clients to collaboratively train a global model without sharing raw data, are hindered by issues such as non-independent and identically distributed (non-IID) data, communication overhead, and limited generalization across diverse client datasets. …”
Get full text

Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“…Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning. Complex neural networks now lie at the core of ubiquitous AI systems in healthcare. …”
Get full text

What Competences Does the Regional Market of IT Specialists Want? Development and Approbation of Technology for Analysis of Current Vacancies in the Labor Market by A. E. Shukhman, L. S. Grishina, L. L. Legashev, D. I. Parfenov

“…The study is aimed at development and approbation of the technology for analysis of current vacancies for IT specialists for further designing the content of additional vocational educational programs. Modern machine learning techniques such as Natural Language Processing can be used for automatic position selection based on skills in vacancies. …”
Get full text

HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot by Fady Alnajjar, Abdul Rahman Hafiz, Kazuyuki Murase

“…The experimental results indicate that the proposed model efficiently enhances real-time machine learning in general and can be used to establish an environment suitable for social learning between the robot and the user in particular.…”
Get full text

Global Trends on the Use of Artificial Intelligence in Nursing: A Descriptive and Evaluative Bibliometric Analysis Study by Fatma Azizoğlu, Banu Terzi

“…The prominent topics in the studies were "virtual reality, artificial intelligence, nursing, machine learning, simulation, nursing education, education, pain, nursing students, natural language processing, nurses, robotics, deep learning and mental health".Conclusion: There has been a significant increase in the number of studies on the use of artificial intelligence in nursingand this area offers an active field of study for nursing researchers…”
Get full text

Financial Sustainability of the Russian Higher Education Institutions: Quantitative Analysis by D. A. Endovitsky, V. V. Korotkikh, A. V. Krivosheev

“…Non-parametric methods for data analysis and machine learning.Results. We proposed two groups of working hypothesis. …”
Get full text

Adaptive sensing scheme using naive Bayes classification for environment monitoring with drone by Yao-Hua Ho, Yu-Te Huang, Hao-Hua Chu, Ling-Jyh Chen

“…Our results show that the naive Bayes classification–enhanced adaptive return-to-home sensing scheme is able to avoid oscillation in sensing and guarantees return-to-home feature while behaving more cost-effective in parameter tuning than the other machine learning–based approaches.…”
Get full text

Secure and Privacy Enhanced Gait Authentication on Smart Phone by Thang Hoang, Deokjai Choi

“…These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. …”
Get full text

Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering by Thea Denell, Lauri Himanen, Markus Scheidgen, Claudia Draxl

“…Because SBC is not a machine learning-based method, it requires no prior training. …”
Get full text

A Bibliometric Analysis on Federated Learning by Ersin Namlı, Yusuf Sait Türkan, Mesut Ulu, Ömer Algorabi

“…The emergence of FL as a novel machine-learning approach and the volume of relevant papers and studies now call for a thorough investigation of FL. …”
Get full text