A Client-Centric Evaluation System to Evaluate Guest’s Satisfaction on Airbnb Using Machine Learning and NLP by Mohamed Chiny, Omar Bencharef, Moulay Youssef Hadi, Younes Chihab

“…So, we applied natural language processing (NLP) algorithms to the reviews in order to find clues that could help us segment them, and then we trained two regression models, multiple linear regression and support vector regression, in order to calculate the coefficients acting on each of the 6 elementary scores (precision, cleanliness, check-in, communication, location, and value) noted on Airbnb, taking into account the category of customers who evaluated the performance of their accommodation. …”
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BharatSim: An agent-based modelling framework for India. by Philip Cherian, Jayanta Kshirsagar, Bhavesh Neekhra, Gaurav Deshkar, Harshal Hayatnagarkar, Kshitij Kapoor, Chandrakant Kaski, Ganesh Kathar, Swapnil Khandekar, Saurabh Mookherjee, Praveen Ninawe, Riz Fernando Noronha, Pranjal Ranka, Vaibhhav Sinha, Tina Vinod, Chhaya Yadav, Debayan Gupta, Gautam I Menon

“…BharatSim uses a synthetic population created by applying statistical methods and machine learning algorithms to survey data from multiple sources, including the Census of India, the India Human Development Survey, the National Sample Survey, and the Gridded Population of the World. …”
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ACCELERATING THE FORMATION OF CHILDREN’S VALUES IN A LEARNING ENVIRONMENT by A. I. Mantarova, I. A. Angelova

“…Pilot data got during the experiment prove the model is an innovative method of pedagogical interaction and a «practical tool» for teachers. Four algorithms are developed to support cognitive, emotional and volitional processes, including thinking for accelerating the formation of values of children 4 to 6 years old.Practical significance. …”
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The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management by Marwan Al-Raeei

“…This included an examination of AI algorithms used in surgical procedures for oral cancer, as well as the functionalities of AI-powered remote monitoring tools in disease management and patient care. …”
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Supporting parents in facilitating computational thinking for young children through loose parts construction play by Cynthia Ai Ming Lim, G Kaveri, Jiayao Li, Mian Yee Choy

“…The cards contained questions that parents could use to foster CT skills like decomposition and algorithmic thinking in their play interactions. Focus group discussions were held before and after the play sessions and parents in the study reported more confidence in supporting their children in play and learning of 21st century skills of teamwork, collaboration and CT skills. …”
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Formalization of Methods in Criminalistics by L. P. Grynko

“…The development and use of forensic material models in the management of an investigative situation allows investigators to use, by analogy, forensic algorithms and investigative programs. Thus, the formalization is carried out in the form of the transition of content into a sign system. …”
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Intelligent Transport Surveillance Memory Enhanced Method for Detection of Abnormal Behavior in Video by Deng-Hui Zhang

“…The steps are as follows: different abnormal behavior detection system algorithms are analyzed at first. The characteristics of three different methods, namely, the original autoencoder (AE), recurrent neural network, and convolutional neural network, are compared. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…This is evidenced by some models and algorithms with ≥90% prediction accuracy. From the literature, most of the proposed methods are trained and tested on pre-trained deep learning models like VGG16, VGG19, ResNet, Inception_V3, and ReNet. …”
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Types of Road Traffic Accidents and Emergency Medical Care by Basri Lenjani, Agron Dogjani, Luljeta Abdullahu, Arlind Zeqiri, Dardan Lenjani, Bujar Imeri

“…To design clinical guidelines, algorithms, and triage protocols at the three levels of health care, all healthcare professionals should be educated and trained with continuing courses in triage, communication, and Basic Life Support -AED, ACLS, PHTLS, BTLS, and ATLS. …”
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Traffic Flow Parameters Collection under Variable Illumination Based on Data Fusion by Shaojie Jin, Ying Gao, Shoucai Jing, Fei Hui, Xiangmo Zhao, Jianzhen Liu

“…In complicated lighting conditions at night, however, neither classical nor deep-learning-based image processing algorithms can provide adequate detection results. This study proposes a fusion technique combining millimeter-wave radar data with image data to compensate for the lack of image-based vehicle detection under complicated lighting to complete all-day parameters collection. …”
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Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais by Fernanda Oliveira de Sousa, Victor Andre Ariza Flores, Christhian Santana Cunha, Sandra Oda, Hostilio Xavier Ratton Neto

“…This case study uses a combination of the multi-criteria analysis approach and hydrological studies that use machine learning algorithms to simulate new rainfall events in order to estimate the risk of flooding on railroads. …”
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An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus by J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García

“…Natural language processing (NLP) and machine learning algorithms are used to identify possible hypoglycemic events and related symptoms in physicians’ notes. …”
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A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniquesRecherche.Data.Gouv by Michel Visalli, Ronan Symoneaux, Cécile Mursic, Margaux Touret, Flore Lourtioux, Kipédène Coulibaly, Benjamin Mahieu

“…The dataset can therefore be repurposed to assess and compare the performance of different text mining, natural language processing and sentiment analysis algorithms in both French and English, as well as to drive innovations in AI tools for sensory and consumer research.…”
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Multi-material and multi-scale platform for robotic based in situ bioprinting by Andrea Guerra, Gabriele Maria Fortunato, Elisa Batoni, Giovanni Vozzi, Carmelo De Maria

“…The automated tool change features specific Radio-Frequency Identification tags, introducing the robot's capability to autonomously locate and recognize the tool to connect with. Control algorithms for the new tools were implemented for printing path planning. …”
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Enhancing Chronic Disease Prediction in IoMT-Enabled Healthcare 5.0 Using Deep Machine Learning: Alzheimer’s Disease as a Case Study by Rabia Javed, Tahir Abbas, Tariq Shahzad, Khadija Kanwal, Sadaqat Ali Ramay, Muhammad Adnan Khan, Khmaies Ouahada

“…Deep machine learning algorithms have found widespread application in the diagnosis of chronic diseases. …”
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Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods by David Cuesta-Frau, Daniel Novák, Vacláv Burda, Daniel Abasolo, Tricia Adjei, Manuel Varela, Borja Vargas, Milos Mraz, Petra Kavalkova, Marek Benes, Martin Haluzik

“…In order to assess the validity of this assumption, we conducted a quantitative analysis based on several nonlinear algorithms (Lempel–Ziv Complexity, Sample Entropy, Permutation Entropy, and modified Permutation Entropy), well suited to the characterization of biomedical time series. …”
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Matlab/Simulink simulation model of photo-diesel power supply system with intelligent control by B. V. Lukutin, D. I. Muravyev

“…As a result of experiments with changing input conditions, i.e. annual changes in insolation and temperature at different latitudes, the authors justify technical, economic, and environmental criteria for the effectiveness of decision-making and recommendations for the design and operation of PDPS power plants. Intelligent algorithms for effective control of PV-diesel power systems based on DC are developed and suggested.…”
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Stem and Leaf Segmentation and Phenotypic Parameter Extraction of Tomato Seedlings Based on 3D Point by Xuemei Liang, Wenbo Yu, Li Qin, Jianfeng Wang, Peng Jia, Qi Liu, Xiaoyu Lei, Minglai Yang

“…The RANSAC, region-growing, and greedy projection triangulation algorithms were employed to extract phenotypic parameters such as plant height, stem thickness, leaf area, and leaf inclination angle. …”
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Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂) by Haijing Qin, Yunchen Tian, Jianing Quan, Xueqi Cong, Qingfei Li, Jinzhu Sui

“…In order to solve these problems, this study constructs a benchmark dataset of the feeding intensity of pearl gentian groupers in a factory circulating water environment, which is divided into feeding fish groups and fish aggregation areas by training Unet semantic segmentation network and compares standard clustering algorithms through clustering evaluation indexes to maximally select the optimal clustering method and the number of clusters that are suitable for this paper's dataset. …”
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Integrated Solution Combining Low-Frequency Forced Oscillation Technique and Continuous Equivital Sensor Monitoring for Assessment of Non-Invasive Ambulatory Respiratory Mechanics by Ghada Ben Othman, Amani R. Ynineb, Erhan Yumuk, Hamed Farbakhsh, Cristina Muresan, Isabela Roxana Birs, Alexandra De Raeve, Cosmin Copot, Clara M. Ionescu, Dana Copot

“…The best-fitting fractional-order models for impedance data were identified using genetic algorithms. This study also explores the correlation between impedance model parameters and EQV data, discussing the potential of AI tools for forecasting respiratory properties. …”
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