Search Results - research algorithm

Vulnerable Neighborhood Explorer (VNE): An Open-Source Visual Analytics Tool for Exploring Social Vulnerability to Disasters across Different Neighborhoods by Su Yeon Han, Jooyoung Yoo, Alexander Michels, Jeon-Young Kang, Shaowen Wang, Joon-Seok Kim

“…We developed the Vulnerable Neighborhood Explorer (VNE), a geovisual analytics tool that helps decision-makers and researchers identify disaster-prone neighborhoods using socioeconomic and demographic data. …”
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AI-Driven Wearable Bioelectronics in Digital Healthcare by Guangqi Huang, Xiaofeng Chen, Caizhi Liao

“…However, their widespread adoption faces technical, ethical, and regulatory hurdles, such as data interoperability, privacy concerns, algorithmic bias, and the need for robust clinical validation. …”
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Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review by Arman Fathollahi

“…This work starts with a discussion of the smart grid’s dynamic structures and subsequently transitions into an overview of machine learning approaches that explore various algorithms and their applications to enhance smart grid operations. …”
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Internal risk assessment of development and implementation of the state programs by A. I. Denisova

“…The software implementation of the algorithms for the formation and evaluation of the program plan was carried out in the form of software developed by the author in the Python.…”
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An Analysis on the Applicability of Meta-Heuristic Searching Techniques for Automated Test Data Generation in Automatic Programming Assessment by Musa et al.

“…Automatic Programming Assessment (APA) has been gaining lots of attention among researchers mainly to support automated grading and marking of students’ programming assignments or exercises systematically. …”
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Combating Antimicrobial Resistance: Spectroscopy Meets Machine Learning by Dimple Saikia, Ritam Dadhara, Cebajel Tanan, Prajwal Avati, Tushar Verma, Rishikesh Pandey, Surya Pratap Singh

“…There are various steps that have been taken by researchers and organizations to identify, cure, and prevent this urgent issue. …”
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Development and Implementation of a Machine Learning‐Based Flood Forecasting System in Kasese District, Uganda by Edward Miiro, Ismael Kato, Zuhra Nantege, Samuel Ssendi, Khasim Bassajjalaba

“…ABSTRACT This study aimed to develop a proof‐of‐concept prototype of a machine learning system to forecast and mitigate the effect of floods in Kasese District. The researchers used a participatory design science approach. …”
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Dataset for estimating reinforcement, width and penetration of the weld bead in the GMAW process using thermographic informationfigshare by Bruno Mota de Souza, Guillermo Alvarez Bestard, Sadek C. Absi Alfaro

“…The dataset can be a valuable resource for researchers seeking to develop and test advanced control algorithms and dynamic models of the GMAW welding process. …”
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Capturing drug use patterns at a glance: An n-ary word sufficient statistic for repeated univariate categorical values. by Gabriel J Odom, Laura Brandt, Clinton Castro, Sean X Luo, Daniel J Feaster, Raymond R Balise, CTN-0094 Team

“…As examples, we provide three algorithms to define primary endpoints from seminal SUD clinical trials.…”
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An applied engineering approach to attitude and orbit representations for low-earth-orbiting rigid spacecraft: a comprehensive review by Tamer Mekky Ahmed Habib

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Single-Pixel Imaging for Partially Occluded Objects by Jingjing Wu, Lifa Hu, Jicheng Wang

“…In traditional optical imaging system, the lenslet array or the reference beam and special algorithms are usually needed to solve this problem, which increase the complexity of the system. …”
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Analysing learning behaviour: A data-driven approach to improve time management and active listening skills in students by Vinayak Hegde, Vishrutha M, Pallavi M. Shanthappa, Rekha Bhat, Nisha Raveendran, Roshin C

“…After testing multiple ML models with datasets, Random Forest was determined to be the most dependable model by emphasizing algorithms. It demonstrated remarkable durability (0.811012) and accuracy during cross-validation. …”
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Roads Taken, Not Taken and Halted: A Brief Review of the American Regulations Regarding Youth Social Media Use by Krystyna Mokrzycka

“…Concern continues to grow over social media design: endless scrolling, personalised algorithms and addictive features increasingly compete for the users’ attention, facilitating the risk of harm. …”
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A Survey on Computing-in-Memory (CiM) and Emerging Nonvolatile Memory (NVM) Simulators by John Taylor Maurer, Ahmed Mamdouh Mohamed Ahmed, Parsa Khorrami, Sabrina Hassan Moon, Dayane Alfenas Reis

“…Many simulation tools in the literature have been proposed to enable the design space exploration (DSE) of these novel computer architectures as researchers are in need of these tools to test their designs prior to fabrication. …”
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Bitcoin Return Dynamics Volatility and Time Series Forecasting by Punit Anand, Anand Mohan Sharan

“…Bitcoin and other cryptocurrency returns show higher volatility than equity, bond, and other asset classes. Increasingly, researchers rely on machine learning techniques to forecast returns, where different machine learning algorithms reduce the forecasting errors in a high-volatility regime. …”
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Drones and AI-Driven Solutions for Wildlife Monitoring by Nourdine Aliane

“…By synthesizing these insights, this paper will provide researchers with a structured framework for leveraging drone and AI systems in wildlife monitoring, identifying best practices and outlining actionable pathways for future innovation in the field.…”
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Navigating the complexities of AI and digital governance: the 5W1H framework by S. Matthew Liao, Iskandar Haykel, Katherine Cheung, Taylor Matalon

“…By providing a structured analytical tool, the 5W1H framework helps policymakers, researchers, and stakeholders navigate complex AI governance decisions and identify areas for improvement in existing regulatory approaches.…”
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Development and Validation of an AI-Based Risk Prediction Model for Osteoporosis in Post-Menopausal Women by Juhi Deshpande, Chanchal Kumar Singh

“…A hybrid approach combining clinical expertise with machine learning algorithms was used to develop the model. Researchers used a dataset of 1,200 postmenopausal women (50-80 years) from three tertiary centers for training and validation. …”
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Dataset for training neural networks in concrete crack detection: laboratory-classified beam and column imagesRepositorio Institucional – Universidad de Lima by Alexandre Almeida Del Savio, Ana Luna Torres, Daniel Cárdenas-Salas, Mónica Vergara Olivera, Gianella Urday Ibarra

“…However, obtaining high-quality datasets to train algorithms for detecting concrete cracks in structural components remains challenging, as such cracks normally develop over an extended period under real-world conditions. …”
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The role of artificial intelligence in automating decision–making processes in project management by E. O. Lebedeva

“…These materials will be useful for project managers, developers of AI solutions, as well as researchers studying automation of management processes.…”
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