Le relevé interdisciplinaire d’art pariétal paléolithique en trois dimensions : intérêt, méthode et premiers résultats by Priscilia Barbuti, Oscar Fuentes, Stéphane Konik, Geneviève Pinçon

“…Since the first discoveries of Palaeolithic art in France in the late 19th century, surveying cave walls has remained the archaeological key element of the scientific process. From direct copy on tracing paper to photography and computer graphics, the methods and techniques of the archaeologists have always been related to the technological advances of their times. …”
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Transformative Advances in NLP and AI: Charting the Evolution of Technology by Paul TEODORESCU, Silvia OVREIU

“…This paper attempts to enter the world of NLP (human language processing) from the three perspectives of physics, mathematics and computer science. …”
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Application research on vector coherent frequency‐domain batch adaptive line enhancement in deep water by He Li, Tong Wang, Xinyi Guo, Lin Su, Yaxiao Mo

“…This method not only introduces the idea of frequency‐domain batch processing, but also uses synchronously collected sound pressure and particle velocity as dual input, fully utilising the coherence characteristics between vector channels to output high gain line spectrum signals and improve computational efficiency. …”
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Developing an Intelligent Resume Screening Tool With AI‐Driven Analysis and Recommendation Features by K. L. Abhishek, M. Niranjanamurthy, Shonit Aric, Syed Immamul Ansarullah, Anurag Sinha, G. Tejani, Mohd Asif Shah

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A quantitative model of hierarchical product design by Ferdinand Wöhr, Simon Königs, Max Stanglmeier, Markus Zimmermann

“…We propose a model for simulating hierarchical product design processes based on the V-Model. It includes, first, a product model which structures physical product properties in a hierarchical dependency graph; second, an organizational model which formalizes the assignment of stakeholder responsibility; third, a process model which describes the top-down and bottom-up flow of design information; fourth, an actor model which simulates the combination of product, organization and process by using computational agents. …”
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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

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A high-entropy image encryption scheme using optimized chaotic maps with Josephus permutation strategy by Nawal El Ghouate, Mohamed Amine Tahiri, Ahmed Bencherqui, Hanaa Mansouri, Ahmed El Maloufy, Hicham Karmouni, Mhamed Sayyouri, Sameh Askar, Mohamed Abouhawwash

“…Compared with other image-based encryption schemes, our method stands out for its speed and reduced computational complexity, while offering superior security.…”
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Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech denoising by Marvin Coto-Jiménez, Astryd González-Salazar, Michelle Gutiérrez-Muñoz

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The benefits of using IPA in relation to RPA for the cryptocurrency sector, in making decisions on their sale and purchase in the stock market by Gerild QORDIA, Dolantina HYKA

“…Artificial Intelligence (AI) allows improving the accuracy and execution of RPA processes in extracting information and recognizing, classifying, predicting and optimizing processes [6].Nowadays, artificial intelligence is affecting the way people process computer data, televisions have started to create avatars that they use for news reporting. …”
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Distinct Neural Activities in Hippocampal Subregions Revealed Using a High-Performance Wireless Microsystem with PtNPs/PEDOT:PSS-Enhanced Microelectrode Arrays by Peiyao Jiao, Qianli Jia, Shuqi Li, Jin Shan, Wei Xu, Yu Wang, Yu Liu, Mingchuan Wang, Yilin Song, Yulian Zhang, Yanbing Yu, Mixia Wang, Xinxia Cai

“…However, existing microsystems often face data throughput, signal processing, and long-distance wireless transmission challenges. …”
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A Study on Staging Cystic Echinococcosis Using Machine Learning Methods by Tuvshinsaikhan Tegshee, Temuulen Dorjsuren, Sungju Lee, Dolgorsuren Batjargal

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Delay probability in adaptive systems based on activation function of classical neural networks by Maja Lutovac Banduka, Vladimir Mladenović, Danijela Milosević, Vladimir Orlić, Asutosh Kar

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Insights into Galaxy Evolution from Interpretable Sparse Feature Networks by John F. Wu

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Assessing the quantities of legume-based products: A dataset of conversion coefficients into a comparable dry-legume equivalent unitRecherche Data Gouv by Marine Spiteri, Lola Pedrini, Agathe Thierry, Valérie Orozco, Olivier de Mouzon, Zohra Bouamra-Mechemache

“…This conversion also allows to compute total quantities. In the case of legumes, the challenge is to take into account a wide diversity of final products including packaged dry legumes, processed legumes and products cooked from legumes and other ingredients. …”
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Identification of maize leaf diseases using red, green, blue-based images with convolutional neural network (CNN) and residual network (ResNet50) models by Basani Lammy Nkuna, Khaled Abutaleb, Johannes George Chirima, Solomon W. Newete, Adriaan Johannes van der Walt, Adolph Nyamugama

“…Traditional methods of disease detection of visual inspections are often inaccurate and uncertain. Recent advances in computer vision and deep learning techniques have shown promise in improving image recognition for crop disease detection. …”
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Breast Cancer Classification with Various Optimized Deep Learning Methods by Mustafa Güler, Gamze Sart, Ömer Algorabi, Ayse Nur Adıguzel Tuylu, Yusuf Sait Türkan

“…Images of pathological specimens from breast biopsies consisting of two classes, benign and malignant, were used for classification analysis. To limit the computational time and speed up the analysis process, 10,000 images, 6172 IDC-negative and 3828 IDC-positive, were selected. …”
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LSTM‐based real‐time stress detection using PPG signals on raspberry Pi by Amin Rostami, Koorosh Motaman, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari

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Frugal Innovations: Implementation in Regions of Poland by Jacek Woźniak

“…The empirical study considered quantitative methods and research techniques, i.e. the Computer Assisted Web Interview (CAWI) survey technique, and statistical analysis of quantitative data. …”
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Solución a un problema estático en un área con topografía abrupta usando una velocidad de reemplazamiento variable by Castillo López Luis Antonio, Pedraza Carlos

“…But in the initial processing sequence it is necessary, and do not spend time in surveys with other process, that do not resolve the static problem. …”
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Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification by Chia‐Hung Lin, Hsiang‐Yueh Lai, Ping‐Tzan Huang, Pi‐Yun Chen, Chien‐Ming Li

“…For IVR and ASR applications, speaker classification into different ages and gender groups can be applied in human–machine interaction or computer‐based interaction systems for customised advertisement, translation (text generation), machine dialog systems, or self‐service applications. …”
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