Imitating a Safe Human Driver Behaviour in Roundabouts Through Deep Learning by A. S. J. Cervera, F. J. Alonso, F. S. García, A. D. Alvarez

“…This work details the series of steps that we took, from building the representation of our environment to acting according to it in order to attain safe entry into single lane roundabouts.…”
Get full text

Learning innovation through developing interpreter book: a classroom interpreting practice by Afif Suaidi, Abdul Gafur Marzuki, Anita Anita, Villy Al Viyani, Erizar Erizar

“…The research applied the ADDIE model in seven steps, including two rounds of design and development. …”
Get full text

Pain Level Classification Using Eye-Tracking Metrics and Machine Learning Models by Oussama El Othmani, Sami Naouali

“…This study proposes a novel system for non-invasive pain estimation using eye-tracking technology and advanced machine learning models. The methodology begins with preprocessing steps, including resizing, normalization, and data augmentation, to prepare high-quality input face images. …”
Get full text

Immersive Haptic Technology to Support English Language Learning Based on Metacognitive Strategies by Adriana Guanuche, Wilman Paucar, William Oñate, Gustavo Caiza

“…This article describes the design and implementation of an immersive application supported by Senso gloves and 3D environments for learning English as a second language in Ecuador. The following steps should be considered for the app design: (1) the creation of a classroom with characteristics similar to a real classroom and different buttons to navigate through the scenarios; (2) the creation of a virtual environment where text, images, examples, and audio are added according to the grammatical topic; (3) the creation of a dynamic environment for assessment in which multiple choice questions are interacted with, followed by automatic grading with direct feedback. …”
Get full text

Disease diagnosis and control by reinforcement learning techniques: a systematic literature review by Aditya Dev Mishra, Ajay Kumar Shrivastava, Megha Bhushan

“…Advanced reinforcement techniques including deep reinforcement, multi-agent reinforcement, hierarchical RL, inverse RL, and federated learning offer substantial promise for improving disease diagnosis and control as healthcare increasingly relies on data-driven and machine learning technologies. …”
Get full text

Machine learning and public health policy evaluation: research dynamics and prospects for challenges by Zhengyin Li, Hui Zhou, Zhen Xu, Qingyang Ma

“…With the rise of big data, traditional evaluation methods face new challenges, requiring innovative approaches.MethodsThis article reviews the principles, scope, and limitations of traditional public health policy evaluation methods and explores the application of machine learning in evaluating public health policies. It analyzes the specific steps for applying machine learning and provides practical examples. …”
Get full text

Student attainment of proficiency in a clinical skill: the assessment of individual learning curves. by Robert D Campbell, Kent G Hecker, David J Biau, Daniel S J Pang

“…These data indicate that the LC-CUSUM can be used to generate individual learning curves, inter-individual variability in catheter placement ability is wide, and that specific steps in catheter placement are responsible for the majority of failures. …”
Get full text

Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data by Nicolò Alagna, Brigitta Dúzs, Vincent Dietrich, Ali Tayefeh Younesi, Livia Lehmann, Ronald Ulbricht, Heinz Köppl, Andreas Walther, Susanne Gerber

“…However, building the final kinetic model requires several intermediate steps, including testing various assumptions and models across multiple experiments. …”
Get full text

A web-based machine learning framework for building energy efficiency prediction by B.S.S.V. Ramana, S. Chanikya Kumar, N. Bharath Kumar, Attuluri R. Vijay Babu

“…This paper presents a web-based machine learning framework for estimating heating and cooling loads using static design parameters. …”
Get full text

Deep learning and sentence embeddings for detection of clickbait news from online content by Amara Muqadas, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz, Tariq Alsahfi, Ali Daud

“…We propose to use state of the art deep features including sentence embeddings to be applied as input to deep learning models. The dataset is prepared from authentic online source, labelled by domain experts, and pre-processed using standard steps. …”
Get full text

SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

Get full text

Automated assessment of simulated laparoscopic surgical skill performance using deep learning by David Power, Cathy Burke, Michael G. Madden, Ihsan Ullah

Get full text

Precision autofocus in optical microscopy with liquid lenses controlled by deep reinforcement learning by Jing Zhang, Yong-feng Fu, Hao Shen, Quan Liu, Li-ning Sun, Li-guo Chen

“…Raw images are utilized as the “state”, with voltage adjustments representing the “actions.” Deep reinforcement learning is employed to learn the focusing strategy directly from captured images, achieving end-to-end autofocus. …”
Get full text

Effectiveness of motor learning model based on local wisdom in improving fundamental skills by I Ketut Yoda, Rifqi Festiawan, Nurul Ihsan, Ardo Okilanda

“…This research is evidence that MLMBLW is effectively applied in the implementation of motor learning in early childhood students From the results of this study, there are several things that are recommended: (1) early childhood education teachers must understand the character of students and the local wisdom used, so that the learning steps (syntax) can be implemented properly, (2) the learning model can be implemented properly, if the teacher understands how to play traditional games (local wisdom) well. …”
Get full text

Place-based learning and community stewardship: A framework for facilitating community engagement by Áine Bird, Frances Fahy, Kathy Reilly

“…It explores the intersection of place-based learning and stewardship, emphasising the need for a holistic approach. …”
Get full text

Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning by Yingjun Liu, Fuchun Liu, Renwei Huang

“…Continuous state and action spaces of high dimension make languages of automaton no longer suitable for describing the information of specifications which remains challenging on control of real physical systems. Reinforcement learning (RL) automatically learns complex decisions through trial and error, but it requires the design of precise reward functions combined with domain knowledge. …”
Get full text

Applying Reinforcement Learning to Protect Deep Neural Networks from Soft Errors by Peng Su, Yuhang Li, Zhonghai Lu, Dejiu Chen

“…The approach consists of three key steps: (1) analyzing layer-wise resiliency of Deep Neural Networks by a fault injection simulation; (2) generating layer-wise bit masks by a Reinforcement-Learning-based agent to reveal the vulnerable bits and to protect against them; and (3) synthesizing and deploying bit masks across the network with guaranteed operation efficiency by adopting transfer learning. …”
Get full text

Study on the quantitative analysis of Tilianin based on Raman spectroscopy combined with deep learning. by Wen Jiang, Wei Liu, Xiaotong Xin, Wei Zhang, Junhui Chen, Jieyu Liu, Yanqi Ma, Cheng Chen, Xiaomei Pan

“…The method based on Raman spectroscopy and deep learning is a widely used non-destructive analysis method. …”
Get full text

Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…The preprocessing phase involved three stages, i.e., cleaning and normalization and feature engineering steps, before model training and testing phases. …”
Get full text

Detection of Violent Scenes in Cartoon Movies Using a Deep Learning Approach by Noreen Fayyaz Khan, Sareer Ul Amin, Zahoor Jan, Changhui Yan

“…The research comprises three key steps. Initially, a histogram technique was implemented to select key frames from the video sequences. …”
Get full text