2,079 results for machine learning
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Journal Article
Industrial design process in view of artificial intelligence
In view of the fourth industrial revolution that changed the features of the world, the field of artificial intelligence penetrated several fields, including human resource management, e-commerce, manufacturing, self-driving cars, and many others. As it became part of our daily life through dealing…
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Journal Article
Chemical-Biology-derived in vivo Sensors: Past, Present, and Future
To understand the complex biochemistry and biophysics of biological systems, one needs to be able to monitor local concentrations of molecules, physical properties of macromolecular assemblies and activation status of signaling pathways, in real time, within single cells, and at high…
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Journal Article Full text
Digging Deeper: The Role of Big Data Analytics in Geotechnical Investigations
This review paper explores the transformative role of big data analytics in geotechnical engineering, transferring past conventional methods to a data-driven paradigm that complements decision-making and precision in subsurface investigations. By integrating large statistics analytics with…
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Journal Article Full text
A Comparative Analysis of Post-Disaster Analysis Using Image Processing Techniques
…from SLIC segmentation and Random forest classification to advanced deep learning models together with U-net and YOLOv8, machine learning algorithms like SVM, and image category methodologies along with bi-temporal analysis. Comparative evaluation reveals that those strategies presents promising…
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Journal Article Full text
IoT Network Attack Severity Classification
…scale of the IoT will also make standard network attacks more potent. Machine learning has found a lot of use in traffic classification and intrusion detection. We present a methodology in this piece that can be used to spot fraudulent communications and determine the identity of IoT devices. To…
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Journal Article
AI Bias in Healthcare: Using ImpactPro as a Case Study for Healthcare Practitioners’ Duties to Engage in Anti-Bias Measures
The introduction of ImpactPro to identify patients with complex health needs suggests that current bias and impacts of bias in healthcare AIs stem from historically biased practices leading to biased datasets, a lack of oversight, as well as bias in practitioners who are overseeing AIs. In order to…
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Journal Article
General Reaction Conditions via Data-driven Optimisation
…Inspired by data-driven optimisation techniques for one model substrate, machine learning based strategies have also been proposed to optimise reactions towards general reaction conditions. In this work, we describe recent algorithmic advances in this domain, including our state-of-the-art…
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Journal Article Full text
Alignment-Free Identification of Microplastic Bioremediation Potential Using K-mer Frequency Patterns
To address the critical global challenge of microplastic pollution and the limitations of alignment-dependent genomic tools in analyzing fragmented environmental data, this study introduces an alignment-free computational framework for identifying microbial bioremediation potential. We established…
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Journal Article
Long Short-Term Memory Approach to Predict Battery SOC
…methods. With the progression of Artificial Intelligence (AI), machine learning has found extensive applications across various fields such as infotainment, driver assistance systems, and autonomous vehicles. This paper categorizes the machine learning techniques utilized in Battery Management…
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Journal Article
WANTED: Flow Chemistry Reaction Data
Flow reaction data could have an outsized impact in the datasets which train the reaction prediction, chemical synthesis planning, and experiment design tools of tomorrow. This paper discusses why we should be increasing the availability of flow reaction data, and presents the Open Reaction…
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Journal Article Full text
Research on optimization algorithm of molecular distillation process parameters based on ELM-ADHDP
In the traditional molecular distillation process, there are also large differences in the process parameters of different extracts in the process of separation and purification, and there are equipment aging and site condition changes in the project of equipment operation, and the setting of…
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Journal Article
Excelzyme: A Swiss University-Industry Collaboration for Accelerated Biocatalyst Development
…Leveraging automation and advanced computational techniques, including machine learning, efficient biocatalysts can be generated in short timeframes. Toward this goal, Excelzyme systematically selects suitable protein scaffolds as the foundation for constructing complex enzyme libraries, thereby…
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Book Full text
Comment parle un robot ?: Les machines à langage dans la science-fiction
…SF capables, à l’image de C-3PO, de parler six millions de langages ? La machine qui comprend tout et le traducteur automatique universel sont-ils à portée de main ?
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Journal Article Full text
Face Recognition and Raspberry Pi Powered Smart Door Unlocking System
Security plays a major role in the well-being of people. It is not possible to hire a security guard in person and always ensure his presence on our premises. It is an inefficient investment. The main role of security personnel is to stay on patrol, monitor, inspect and defend against any breach of…
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Journal Article Full text
Stress Detection Based on Human Sleep Cycle
…adverse outcomes. This study investigates stress detection through machine learning and deep learning algorithms, focusing on sleep-related behaviours. Six machine learning techniques and deep learning methods, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and…
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Journal Article Full text
Optimizing LSTM Models for EUR/USD Prediction in the context of reducing energy consumption: An Analysis of Mean Squared Error, Mean Absolute Error and R-Squared
…and the LSTM model was developed and trained using a supervised learning approach with popular deep learning frameworks. The performance of the model was evaluated using metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and R-squared. In addition, we examined the literature on…
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Journal Article Full text
Exploring the Characteristics of Infant Voiced Sounds in a Low Resource Indian Language
…systems. Various computational techniques, including signal processing, machine learning, and deep learning approaches, are explored in the context of voiced sound recognition in baby speech. Moreover, the article highlights the unique characteristics of infant vocalizations, such as pitch…
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Journal Article
Repérer et caractériser les dynamiques urbaines : l’appui nouveau des humanités numériques
This article presents the work of urban corpus creation and processing, i.e. the methodology adopted, the choices made, the problems encountered and the results obtained at these two stages. It shows the work made in the context of the Vital project (Ville et traitement automatique des langues…
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Journal Article Full text
Predictive Modeling for Enhanced Plant Cultivation in Greenhouse Environment
…growth and yield accurately. This research proposes the utilization of Machine Learning (ML)and Deep Learning (DL) techniques to forecast plant growth and yield within controlled greenhouse settings. To achieve this, a novel deep recurrent neural network (RNN) architecture employing the Long…
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